Figure 1. Characteristics of Integration Linked to Process of Care
The Agency for Healthcare Research and Quality (AHRQ), through its Evidence-based Practice Centers (EPCs), sponsors the development of evidence reports and technology assessments to assist public- and private-sector organizations in their efforts to improve the quality of health care in the United States. This report was requested and funded by AHRQ; the Health Resources and Services Administration; Substance Abuse and Mental Health Services Administration, Center for Mental Health Services, Center for Substance Abuse Treatment; as well as the Office of Women's Health and the Office of Minority Health at the Department of Health and Human Services. The reports and assessments provide organizations with comprehensive, science-based information on common, costly medical conditions, and new health care technologies. The EPCs systematically review the relevant scientific literature on topics assigned to them by AHRQ and conduct additional analyses when appropriate prior to developing their reports and assessments.
To bring the broadest range of experts into the development of evidence reports and health technology assessments, AHRQ encourages the EPCs to form partnerships and enter into collaborations with other medical and research organizations. The EPCs work with these partner organizations to ensure that the evidence reports and technology assessments they produce will become building blocks for health care quality improvement projects throughout the Nation. The reports undergo peer review prior to their release.
AHRQ expects that the EPC evidence reports and technology assessments will inform individual health plans, providers, and purchasers as well as the health care system as a whole by providing important information to help improve health care quality.
We welcome written comments on this evidence report. They may be sent to the Task Order Officer named below at: Agency for Healthcare Research and Quality, 540 Gaither Road, Rockville, MD 20850, or by email to epc@ahrq.gov.
Carolyn M. Clancy, M.D.
Director
Agency for Healthcare Research and Quality
Beth A. Collins Sharp, R.N., Ph.D.
Director, EPC Program
Agency for Healthcare Research and Quality
Elizabeth M. Duke, Ph.D.
Administrator
Health Resources and Services Administration
H. Westley Clark, M.D, J.D., M.P.H., C.A.S., F.A.S.A.M.
Director, Center for Substance Abuse Treatment
Substance Abuse and Mental Health Services Administration
Wanda K. Jones, Dr.P.H.
Deputy Assistant Secretary for Health
Office of Women's Health
Office of the Secretary
Department of Health and Human Services
Jean Slutsky, P.A., M.S.P.H.
Director, Center for Outcomes and Evidence
Agency for Healthcare Research and Quality
Charlotte Mullican, M.P.H.
EPC Program Task Order Officer
Senior Advisor for Mental Health Research
Agency for Healthcare Research and Quality
A. Kathryn Power, M.Ed.
Director, Center for Mental Health Services
Substance Abuse and Mental Health Services Administration
Garth Graham, M.D., M.P.H.
Deputy Assistant Secretary for Minority Health
Office of Minority Health
Office of the Secretary
Department of Health and Human Services
We would like to thank Li Tao for assistance with the literature search and data abstraction; Tatyana Shamliyan, M.D., M.S., for her assistance with data analysis; Rebecca Schultz for her help with editing and formatting this report; and especially Marilyn Eells for her editing, formatting, and organizational skills, and her professionalism.
Thanks also to Macaran Baird, M.D., M.S., Benjamin Druss, M.D., M.P.H., Wayne Katon, M.D., David Mechanic, Ph.D., Harold Pincus, M.D., Lisa Rubenstein, M.D., M.S.H.S., Herbert Schulberg, Ph.D., John Williams, M.D., M.H.S., and the staff at NAMI, who reviewed a draft of the document, for their time and the suggestions and comments that improved the quality of the report.
We would also like to thank the staff at the following organizations who so generously gave of their time to help coordinate and complete the case studies:
AETNA
Hartford, CT
The DIAMOND Initiative
Minneapolis, MN
Group Health Cooperative
Seattle, WA
Northern California Kaiser Permanente
San Francisco, CA
RESPECT-Depression
Veterans Administration
CorpHealth
Fort Worth, TX
Eastern Band of Cherokee Health
Cherokee, NC
Intermountain Healthcare
Salt Lake City, Utah
MaineHealth
Portland, ME
Cherokee Health of Tennessee
Knoxville, TN
Washtenaw County Health Organization
Ypsilanti, MI
Objectives: To describe models of integrated care used in the United States, assess how integration of mental health services into primary care settings or primary health care into specialty outpatient settings impacts patient outcomes and describe barriers to sustainable programs, use of health information technology (IT), and reimbursement structures of integrated care programs within the United States.
Data Sources: MEDLINE®, CINAHL, Cochrane databases, and PsychINFO databases, the internet, and expert consultants for relevant trials and other literature that does not traditionally appear in peer reviewed journals.
Review Methods: Randomized controlled trials and high quality quasi-experimental design studies were reviewed for integrated care model design components. For trials of mental health services in primary care settings, levels of integration codes were constructed and assigned for provider integration, integrated processes of care, and their interaction. Forest plots of patient symptom severity, treatment response, and remission were constructed to examine associations between level of integration and outcomes.
Results: Integrated care programs have been tested for depression, anxiety, at-risk alcohol, and ADHD in primary care settings and for alcohol disorders and persons with severe mental illness in specialty care settings. Although most interventions in either setting are effective, there is no discernable effect of integration level, processes of care, or combination, on patient outcomes for mental health services in primary care settings. Organizational and financial barriers persist to successfully implement sustainable integrated care programs. Health IT remains a mostly undocumented but promising tool. No reimbursement system has been subjected to experiment; no evidence exists as to which reimbursement system may most effectively support integrated care. Case studies will add to our understanding of their implementation and sustainability.
Conclusions: In general, integrated care achieved positive outcomes. However, it is not possible to distinguish the effects of increased attention to mental health problems from the effects of specific strategies, evidenced by the lack of correlation between measures of integration or a systematic approach to care processes and the various outcomes. Efforts to implement integrated care will have to address financial barriers. There is a reasonably strong body of evidence to encourage integrated care, at least for depression. Encouragement can include removing obstacles, creating incentives, or mandating integrated care. Encouragement will likely differ between fee-for-service care and managed care. However, without evidence for a clearly superior model, there is legitimate reason to worry about premature orthodoxy.
There is a need to improve care at the interface of general medicine and mental health.1 Provision of care at this interface is the aim of integrated care. Integrated care occurs when mental health specialty and general medical care providers work together to address both the physical and mental health needs of their patients.
This comprehensive systematic review addresses the evidence for integration of mental health services into primary care settings and primary services into specialty outpatient settings. The research questions were:
What models of integration have been used?
What theoretical models support these programs?
What is the evidence that integrated care leads to better outcomes?
To what extent does the impact of integrated care programs on outcomes vary for different populations (e.g., specific mental illness conditions, chronically ill, racial/ethnic groups, elderly/youth)?
What are the identified barriers to successful integration?
How were barriers overcome?
What are the barriers to sustainability?
To what extent did successful integration programs make use of health information technology (IT)?
What financial and/or reimbursement structure was employed in successful integration programs? Is there evidence to suggest that any specific financial/reimbursement strategy is superior to another?
What are the key elements of programs that have been successfully implemented and sustained in large health systems? To what extent do they follow, or how do they differ from, models that have been studied in published research studies?
The scope of the review included alcohol addiction but not other forms of substance abuse. Inpatient settings are also excluded. The review focuses on four areas: (1) specifying what integration is (and is not); (2) detailing the process through which integrated care may affect clinical outcomes; (3) expanding beyond the scope of prior reviews to include multiple illnesses and patient populations; and (4) specifying the conditions under which various models of integrated care are likely (or unlikely) to work in ‘real-world’ settings. This review also conducted case studies in order to better understand the implementation of integrated care models.
Randomized controlled trials and high quality quasi-experimental studies conducted in the United States from 1950 to 2007 were reviewed for all questions. Dementia, Alzheimer's, and developmental disorder studies were deemed qualitatively different and were excluded. Descriptive studies were used for the last five questions, including companion articles to included studies; other relevant documents from the grey literature, including websites, conference proceedings, white papers, and governmental reports, were also used to address questions 2, 3, and 5.
The review used both quantitative and qualitative analyses. For quantitative analysis for question 1 we created a taxonomy of integration levels to examine whether integration was associated with improved outcomes. Trials were assigned to one of four levels of provider integration, based on the degree of shared decisionmaking between primary care and mental health providers and whether or not mental health providers were co-located with primary care providers. Simple additive scores were created for integrated process of care based on the presence or absence of ten elements:
Screening
Patient education/self-management
Medication
Psychotherapy
Coordinated care
Clinical monitoring
Medication adherence
Standardized followup
Formal stepped care
Supervision
The trials were scored and divided into terciles. We also further categorized the trials into an integration matrix based on their provider and process integration levels. We used Forest plots to examine the association of level of integration with patient outcomes for trials of depression care. There were not enough trials of other patient populations for quantitative analysis.
We identified 33 trials that examined the impact of integrating mental health specialists into primary care. Twenty-six studies addressed depression care and four addressed anxiety disorders. The remaining studies were single studies for somatizing disorders, Attention Deficit and Hyperactivity Disorder (ADHD), and one study addressed both depression and alcohol-related disorders.
Integration models used in the trials tended to use the Wagner Chronic Care Model (CCM) as the basis of support. The implication is that integration is needed to address issues related to quality of care that lead to poor outcomes.
The studies reviewed tended to show positive results for symptom severity, treatment response, and remission when compared to usual care. There was wide variation in the levels of provider integration and integrated processes of care. The large majority of trials (N=23) had lower levels of provider integration, and there was a tendency for trials in the higher integration levels to be older. There were also a number of empty cells in the matrix of provider integration by level of integrated process of care.
We did not find any clear patterns in the Forest plots to suggest that outcomes improve as the levels of either provider integration or integrated process of care increase. Significant improvements in symptom severity, treatment response, and remission were consistent across the integration levels. Anxiety disorder studies also exhibited a consistently similar pattern.
Even with the small number of trials in each matrix cell, and some empty cells, the matrix integration provides a more refined integration gradient. Again, we did not see a discernable effect of matrix integration level on outcomes for depression care. The other trials were too few in number for a tenable comparison.
Depression care has by far the most mature literature, with the largest body of evidence and a few trials reporting long-term results of more than 12 months,2–5 one of 5 years.6 Anxiety disorder research is still in the process of establishing baseline evidence of efficacy and has not yet taken the step of more naturalistic effectiveness studies, although the larger-scale CALM study7 currently in the field is moving in that direction. Other disorders minimally addressed in the literature include somatization, at-risk alcohol use, and ADHD. Very little is available for alcohol abuse behavioral programs, in part because studies often used larger substance abuse populations and did not report results separately for alcohol subgroups. Improvements in outcomes weaken over time in general for both depression and anxiety disorders.
The literature provides evidence for both adults and geriatric populations. IMPACT, the study with the strongest results, was designed for the geriatric population, but it has also been effective for the general adult population. The pediatric population is represented with three limited studies with mostly positive findings, two for depressed adolescents and one for ADHD treatment for elementary age children.
Beyond type of illness and patient age, the literature is very spotty. There is limited evidence that integrated care does not increase health disparities and may in fact offer an avenue to decrease disparities. Comorbidities likely have a complicated relationship with integrated care, as increased pain can moderate depression care,8 and higher levels of comorbidity can moderate anxiety care9 but not depression care,10, 11 and diabetes patients with higher complication levels derived greater benefits from depression care than those with lower complication levels.12 There are also gender differences in which treatment components were most effective, with medication more effective for women and psychotherapy more effective for men.13
The barriers to integrated care are well documented. Financial barriers are a major impediment, primarily because many activities associated with integrated care, such as many care management functions, consultations and other communication activities between providers, and telephone consultation with patients, are not traditionally reimbursed under typical fee-for-service care. Moreover, carve-out programs silo eligible services. Integrated care programs and insurance plans have undertaken a number of strategies to address these barriers, such as having plans credential providers, creative employment and contract structures for care managers, and pay for performance, but these strategies are limited in scope.
Organizational barriers to integrated care include both issues related to change and the process of care. Resistance to change, new staff and new roles, and balancing competing demands are difficult to overcome without strong leadership that is committed to integrated care and champions the program. Gaining expertise in providing mental health treatment programs can be addressed through provider training and support.
Sustainability remains a major concern. Translating integrated programs into real-world clinical settings using models from trials with positive results is a challenge. Implementation has taken place at the cost of model fidelity since financial barriers impede program solvency.
We found that reporting on the use of information technology (IT) in integrated care is scant. Programs have used IT for systematic screening and case identification, communication between primary care and specialty mental health providers, decision support, and monitoring of medication adherence and patient clinical status. Telemedicine can bring services to traditionally underserved areas. Perhaps one of the most innovative uses was a computer-based cognitive behavioral therapy program for patients for anxiety management.7 However, there is not enough evidence to comment on the effectiveness or impact of specific types of health IT for improving integration processes of care.
There were a number of effectiveness trials with patient participation from essentially all major provider settings and representing all forms of insured/not insured. However, none reported specifics of reimbursement structures beyond baseline information, nor were results analyzed by type of reimbursement program. Certainly there is currently no evidence to support the effects of one payment strategy over another in terms of outcomes. The most comprehensive information to date on public insurance reimbursement structures and the associated barriers to implementing integrated care is provided in an new government report.14
Although there is some evidence of potential savings in overall medical expenses, the financing problem is exacerbated by the structure of contemporary primary care, where practices are often dealing with various insurance plans. Inconsistent payment policies across plans make it hard for practices to undertake the necessary investments to implement integrated care.
Only three trials were identified, all of which were covered in a recent systematic review.15 The trials used collaborative care models with intermediate to high levels of involvement by primary care providers and regular contact between medical and mental health staff that may, or may not be, co-located.
The trials were consistent in reporting improvements in medical care, quality of care, and patient outcomes. Two programs were found to be cost-neutral as increases in outpatient expenditures were offset by declines in inpatient and emergency room use.16, 17 There was also a significant decline in annual costs for a subsample of patients with substance-related mental and medical comorbidities compared to the control group.18 The trials did not report results for serious mental or substance abuse illnesses by age, gender, or ethnicity.
All three trials took place in large, integrated health systems with considerable advantages in co-locating services and shared operational systems. Integration of primary health care into free-standing community substance use disorders treatment clinics with no immediate access to medical health care facilities would likely face additional barriers and challenges not encountered in the trials. Given the minimal cost savings for the subsample of patients with both medical and mental health comorbidities, a sufficiently large caseload to support medical practice may be the most critical concern for providers who are not part of a large system that assesses costs from a health plan perspective.
Thirteen case studies conducted to supplement the traditional systematic literature review help the reader translate the research covered in the comprehensive literature review into actual clinical and administrative practices. A tipping point is being reached as more programs are implemented. Networks of health care organizations developing and implementing various integrated care models are arising as communities of organizations learn together and share information and lessons learned as integrated care gathers momentum.
In general, integrated care achieved positive outcomes. However, it is not possible to distinguish the effects of increased attention in general to mental health problems from the effects of specific strategies. The lack of correlation between measures of integration or specific elements of care processes and the various outcomes reinforces the underlying question about the specific effect of integrated care. All but two studies compared integrated care to usual care. The two studies that directly compared two levels of integration, integrated care and enhance referral or consultation-liaison, found no clear differences in outcomes by study end.
It makes sense that introducing a systematic approach and extra attention to treating mental illness in the context of primary health care should yield a beneficial result. There are possible concerns that raising the average level of practice might come at the expense of losing individually expert care. Some might be concerned that the value of introducing a structured approach might prevent some patients from receiving more individualized care.19, 20
Efforts to implement integrated care will have to contend with the financial barriers posed by fee-for-service payment. Many of the costs involved are not regularly covered by a payment system based on specific in-person encounters. Integration can be fostered by improved health IT but the case for using this approach has not been well documented to date.
A major unresolved issue remains to define just what elements of integration are vital in producing the desired goals. Head-to-head trials testing more explicit variation of integration components and elements of care process might help to resolve this issue.
There is considerable work to be done to understand who benefits from integrated care. The effects of comorbidities, both mental and physical, should be included in multivariate models. Eligibility criteria should be broadened to include patients with multiple mental health conditions. More attention should be given to powering studies and collecting data necessary for subgroup analysis for minority groups. Research aimed at efficiently matching clinical and organizational processes and resources to different levels of care for varying levels of severity, and patients stratified by risk and complexity, would build on the efforts the IMPACT trials and Intermountain Healthcare's examples.
Demonstration projects would advance our understanding of the financial structures that best support sustainable integrated programs. The VA's consortium on quality improvement processes is working towards describing best practices adapted to local requirements that facilitate efficient and effective change processes; more work along these lines in a wider range of settings is needed.
More exploration of the business case for integrated care will be needed if plans are ever going to finance such an approach. Programs will be needed to assure that each practice that works with multiple plans is adequately covered to make changing their approach financially feasible. More needs to be done to assess the effect of patient volume and case mix on financial feasibility.
The big question is whether to view the cup as half full. There is a reasonably strong body of evidence to encourage integrated care, at least for depression. Encouragement can run the gamut from removing obstacles, to creating incentives, to mandating such care. The encouragement will likely differ between fee-for-service care and managed care, although both must address the issues of paying providers. However, without evidence for a clearly superior integrated model, there is a legitimate reason to worry about premature orthodoxy.
The Report of the President's New Freedom Commission on Mental Health1 identified the need for better coordination between primary care and mental health care and called for dissemination of evidence-based models to improve care at the interface of general medicine and mental health. Provision of care at this interface is the aim of integrated care.
Primary care's defining features of continuity, comprehensiveness, and coordination match the needs of persons with chronic illnesses,21 and people with chronic mental illnesses, such as depression and anxiety disorders, often engage with health care by first presenting to the primary care provider.22 Integrating mental health into primary care settings brings the care to where the patient is. Further, mental health problems, including subsyndromal mental distress, exacerbate the disability associated with physical disorders and may complicate their management.23 Thus, integrating mental health providers into primary care settings may improve the treatment of the “whole” patient with concomitant improvement in outcomes and reduced utilization. Mental illnesses have a wide range of severity and responsiveness to treatment, however, and primary care settings may not be the logical medical home for people with severe mental illnesses.
Conversely, specialty mental health centers are often the primary place of contact for people with severe mental illnesses. Yet, persons with severe and persistent mental illnesses often do not have their general medical needs adequately addressed.24 Thus, some research has focused on integrating primary health care services into specialty substance use treatment settings to better prevent and address the physical comorbidities that often accompany severe mental illnesses and addictive disorders.15
At the simplest level, integrated mental and physical health care* occurs when mental health specialty and general medical care providers work together to address both the physical and mental health needs of their patients. Integration can work in two directions: either (1) specialty mental health care introduced into primary care settings, or (2) primary health care introduced into specialty mental health settings.
The rationale for the first type of integration is predicated on five main findings from the research literature. First, persons with mental health problems often do not receive treatment.22, 25 Second, persons with mental health problems are as likely to be seen in the general medical care sector (23 percent) as in the specialty mental health care sector (22 percent).22 Third, patients are much more likely to see a primary care physician (PCP) each year than a mental health specialist;26 therefore, PCPs may be in the best position to recognize and improve rates of appropriate treatment. Fourth, many people with mental health problems have comorbid physical health problems such as cardiovascular or pulmonary disease, diabetes, or arthritis.27–29 Mental health problems exacerbate the disability associated with physical disorders, and patients with such comorbidities consume high levels of medical care services and health care costs.30–32 Treating mental health problems among patients with physical health problems, therefore, may potentially reduce overall health care costs. Finally, there is a strong body of evidence that effective care for common mental health problems, such as depression and anxiety, can be effectively delivered in the primary care setting,33, 34 although in usual practice the care often falls below quality standards.35, 36
The second broad type of integration refers to integrating primary health care into specialty mental health care settings. Such efforts have responded to findings that persons with severe and persistent mental illnesses (SPMI), such as schizophrenia, often do not have their general medical needs adequately addressed. Those individuals are at higher risk for medical problems, such as hypertension, coronary heart disease, and diabetes, and have significantly shorter life expectancy than persons without mental illness.37 Moreover, many of the most effective medications for persons with SPMI are associated with physical health problems, especially metabolic syndrome (e.g., obesity, elevated cholesterol, and blood pressure), that further increase the risk for cardiovascular disease and diabetes. These physical illnesses are also often under-treated for the SPMI population.38 Persons with SPMI may also have inadequate access to primary care and preventive services.39 The drastic difference in morbidity and mortality for persons with SPMI documented in the research—up to 25 years shorter life span compared to the general population—has generated a sense of urgency for governmental bodies and consumer advocacy groups to improve overall care.40, 41
There is also a case for integrating primary health services into specialty substance use treatment settings.15, 24, 42 Physical comorbidities often accompany substance use,43, 44 and often primary care services may improve addiction outcomes.45
Taken together, this literature suggests that the historical practice of separating mental and physical health care may be misguided. Integrated models of care offer the potential to improve access to treatment and improve quality.
Wagner's CCM is widely cited as a way to provide quality care to people with chronic illnesses.46 This model includes system wide changes in practice organizations such as self-management support, delivery system design, decision support, and clinical information systems. Discrete disease management (DM) programs and support services have proliferated for treatment of specific chronic diseases to improve outcomes and reduce costs.21 CCM is complementary to the concept of patient-centered care. Both the CCM and DM focus on changing the organization of services from reacting to acute illnesses to proactively coordinating the provision of care.21 The CCM was conceived to be responsive to needs of patients with multiple comorbidities, and DM has been evolving to acknowledge a “whole person” model as well.47 Integrated care for mental illnesses uses this same proactive perspective but differs in two important ways.
One major difference is the concept of collaboration. The term “collaboration” has been used in two ways in chronic illness literature. One use refers to collaboration between patients and health providers in developing care plans to achieve agreed-on treatment goals and ongoing education and support of the patient's self-management of the disease.48 Patients and their families provide the bulk of care activities for chronic illnesses and are, in fact, the primary caregivers.49
The second use of “collaboration” refers to collaboration between providers, ensuring that the treatment plan and provision of services is appropriate and coordinated across providers with different expertise and treatment domains. This second use is of particular importance in integrated care because the collaboration is taking place between providers from what has been two parallel health systems representing historically different perspectives and approaches to health and health care. Seaburn et al. argue that effective collaboration within the context of integrated care requires an ecological perspective that attends to collaboration with all participating and affected parties.50
The second major difference from the CCM is how this second form of collaboration adds to the complexity of successfully providing sustainable integrated care. The Institute of Medicine's (IOM) Crossing the Quality Chasm report51 suggested the health care system as it currently exists may not be sufficient to support proactive, collaborative processes. Models of collaborative integrated care will not be sufficient without system wide integration. Integration takes place at many levels,51, 52 including organizational and financial, and is aided or hindered by the cultural integration of mental health, medical health domains, and world views. For example, the Four Quadrant Clinical Integration Model organizes patients across the medical and mental health spectrums based on their combined medical and psychiatric needs and outlines major system elements needed for that population or subset of the general population.
Terminology around this type of care has become confusing. The terms “integrated care” and “collaborative care” have sometimes been used in what appears to be interchangeable ways, but at other times they reflect subtle but important differences. Historically, the “Collaborative Care Model” was a term used in some of the earliest research on integrated care in the United States by Wayne Katon and his colleagues. Within the United States, the term “integrated care” has tended to be used, perhaps in part to distinguish other models from Katon's Collaborative Care Model, perhaps in part in recognition of bringing together into a unified health care whole what had previously been segregated into mental health and medical health care systems. On the other hand, international research efforts, specifically within the United Kingdom and Canada, have tended to use the term “collaborative care,” again, with the term's foundations in the Katon model. “Complex system interventions” and “multifaceted interventions” are also terms found in research that have been used to get at the comprehensiveness of the programs which may or may not emphasize the collaboration between providers of different health disciplines.
| Source | Definition of Integration |
|---|---|
| Institute of Medicine, 200655 | Integrated treatment: “refers to interactions between clinicians to address the individual needs of the client/patient” and consists of “any mechanism by which treatment interventions for co-occurring disorders are combined within the context of a primary treatment relationship or service setting” (see page 213 of IOM report) |
| Shortell, 200059 | Clinical integration: “extent to which patient care services are coordinated across people, functions, activities, and sites over time so as to maximize the value of the services delivered to the patient” |
| Strosahl, 1998 as reported in Robinson and Reiter, 200765 | Integration: “integration occurs when the mental health provider is considered a regular part of the health care team. |
| Blount, 2003 (pages 122, 124)23 | Integrated services “have medical and behavioral health components within one treatment plan for a specific patient or population of patients.” Integrated care: “describes care in which there is one treatment plan with behavioral and medical elements rather than two treatment plans. The treatment plan is delivered by a team that works together very closely or by pre-arranged protocol.” |
| Byrd et al, 2005 (page 2)66 | Integrated care: “the process and product of medical and mental health professionals working collaboratively and coherently toward optimizing patient health through biopsychosocial modes of prevention and intervention.” |
| Veterans Administration, 200554 | Integrated behavioral model: “is to support the primary care provider in identifying and treating patients with mental health diagnoses and/or need for behavioral interventions.” |
| Smith, 2007 67 | Integrated care: “recognized by the acceptance of one individual clinician of responsibility for assessment, planning, linking, monitoring, advocacy, and outreach with respect to all factors that are pertinent to meeting an individual's health care needs and achieving cost-effectiveness outcomes” |
| Hogg Foundation, 200853 | Integrated health care approach: “primary care and mental health providers partner to manage the treatment of mental health problems in the primary care or pediatric setting and to address barriers to implementation that they encounter.” |
| American Psychological Association, Presidential Task Force on Integrated Health Care for an Aging Population, 2008 (page 21)68 | Integrated health care: “characterized by a high degree of collaboration among the various health professionals servicing patients in terms of assessment, treatment planning, treatment implementation, and outcome evaluation.” |
| Definition of Collaborative Care | |
| Bower, 200660 | Collaborative Care: a multifaceted organisational intervention, which could include a number of components: (a) the introduction of a new role (case manager) into primary care, to assist in the management of patients with depression through structured and systematic delivery of interventions; (b) the introduction of mechanisms to foster closer liaison between primary care clinicians and mental health specialists (including case managers) around individual patient care; (c) the introduction of mechanisms to collect and share information on the progress of individual patients. |
| Katon, 200369 | Collaborative care is a multimodal intervention that includes integration of a care manager into primary care who works with both patient and PCP and helps with developing a shared definition of the problem, providing patient education and support, developing a shared focus on specific problems, targeting goals and a specific action plan, offering support and problem-solving to optimize self-management, achieving closer monitoring of adherence and outcomes, and facilitating appointments to the PCP or specialist for patients with adverse outcomes or side-effects. |
| Gagne, 2005, Canadian collaborative Mental Health Initiative70 | Collaborative care is not a fixed model or specific approach; rather, it is a concept that emphasizes the opportunities to strengthen the accessibility and delivery of mental health services through primary health care settings through interdisciplinary collaboration. |
Models of integration can be distinguished based upon how they involve the care process. By definition, integration must involve linking primary care providers with mental health providers, but the models differ widely in terms of the nature of these linkages and the strategies used to target various aspects of the care process. Figure 1
To capture the full breadth of models that may be considered integrated, we conceptually define integration as the systematic linkage of mental health and primary care providers. This conceptualization most closely reflects the IOM definition of integrated treatment and is inclusive of the five levels of collaboration elaborated by Doherty et al.56 Mental health providers are broadly defined to include not only professionals such as psychologists and psychiatrists, but also providers such as nurses and care managers whose roles focus on the mental health needs of patients, if such providers are supervised by specialty mental health professionals. The nature of the linkages between providers may also vary widely.
The presence of integration needs to be separated from its effects. One of those effects may be implementing a more structured, evidence-based approach to mental health care. Models of integration may not simply rely on linking providers but are multifaceted and target other elements of the care process. Identification of patients with mental health problems in primary care has long been recognized as inadequate,57, 58 and many models of integration include systematic screening as one element to improve care. With a substantial body of evidence indicating that improving case identification alone is not sufficient for improving clinical outcomes,23 other elements of the care process are targeted by integration efforts. These include educating patients about the nature of the disorder and self-management, introduction of evidence-based guidelines for care (including stepped care), the availability of new therapies in primary care settings (e.g., psychotherapy), and systematic followup of patients to assess clinical status and/or medication adherence. It is not enough, however, just to have the enhancements to primary care settings. There must be time to implement them and to follow through on evidence-based interventions for patients found to have mental health and substance use disorder problems. This involves restructuring personnel and workflows.
Clinical integration is supported by integration at the system or organizational level.55, 59 Linkages in the administrative functions, clinical records, claims processing, financing, disease management programs, and the like that take place at the organizational or systems level may facilitate clinical integration.
Through consultation with Agency for Healthcare Quality (AHRQ) and the Technical Expert Panel (TEP) (identified in Appendix A), six key questions were defined. They are restated here as:
What models of integration have been used?
What theoretical models support these programs?
What is the evidence that integrated care leads to better outcomes?
To what extent does the impact of integrated care programs on outcomes vary for different populations (e.g., specific mental illness conditions, chronically ill, racial/ethnic groups, elderly/youth)?
What are the identified barriers to successful integration?
How were barriers overcome?
What are the barriers to sustainability?
To what extent did successful integration programs make use of health IT?
What financial and/or reimbursement structure was employed in successful integration programs? Is there evidence to suggest that any specific financial/reimbursement strategy is superior to another?
What are the key elements of programs that have been successfully implemented and sustained in large health systems? To what extent do they follow, or how do they differ from, models that have been studied in published research studies?
While integration may occur in numerous sectors, this review is focused on models that integrate primary care with specialty mental health care in outpatient settings. Studies of integrated care within inpatient settings are beyond the scope of the review. As well, we do not review studies of integrated care that have been conducted in regions outside the United States. However, we utilize reviews of existing models of integrated care (i.e., Bower et al., 2006)60 that include primary research done within and outside the United States. Finally, studies that focus on integrating primary care services with drug abuse services are beyond the scope of the review.
| Source First Author | Criteria for Inclusion | Population of Interest | Question | Number of Trials/Period |
|---|---|---|---|---|
| A. Systematic Reviews of Studies that Integrate Mental Health Services Into Primary Care | ||||
| Badamgarav, 200371 Systematic review | “Interventions that include systematic approach to care...(set of systematically developed statements to assist practitioner's and patient's decision about appropriate health care for specific clinical circumstance” | 13,220 adult patients with depression | Do disease management programs improve depression outcomes in primary care? Includes some studies of single components of disease management programs, not all were integrated care. | 19 trials, from 1987 to June 2001. Includes non-U.S. trials. Not all trials were integrated care. |
| Bower, 200660 Meta analysis and meta regression | Multifaceted organization intervention that could
include:
| Adult patients with depression | What are the active ingredients in collaborative care? | 34 trials, through October 2005. Includes non-U.S. trials |
| Craven, 200672 Systematic review | Collaborative care: involving providers from different specialties [at least one must be a primary care provider]...can involve better communication, closer personal contacts, sharing of clinical care, joint educational programs and/or joint program and system planning) | Depression and high utilizers | What are better practices within collaborative care? | 38 trials and followup reports, 1985 through June 2005. Includes non-U.S. trials |
| Gensichen, 200673 Meta-analysis | Case-management including at least the systematic monitoring of symptoms | 4,320 adult patients with depression | Does case management improve major depression in primary care? Not all trials were integrated care. | 13 trials, through May 2003 Includes non-U.S. trials |
| Gilbody, 200374 Systematic review | “Guidelines and organizational and educational interventions” “studies that examined the effectiveness of an organizational or educational intervention targeted at primary health care professionals (medical or nonmedical) and patients or novel models of providing health care were selected” | Adult patients with depression | Do educational and organizational interventions improve depression management in primary care? | 36 trials, through March 2003. Includes non-U.S. trials. Not all trials were integrated care. |
| Gilbody, 200664 Meta-analysis | Multifaceted intervention, needed to involve at least 2 of 3 of specialists: a case manger, a primary care provider, or a mental health specialist | 12,355 adult patients with depression | What are short- and long-term effects of collaborative care compared to standard care? | 37 trials, through February 6, 2006. Includes non-U.S. trials |
| Gilbody, 200675 Systematic review | Organization interventions defined as (any of
following)
| 4,757 adult patients with depression | Is enhanced primary care cost effective? | 11 evaluations, through October 2005. Includes non-U.S. trials. Not all trials were integrated care. |
| Gunn, 200676 Systematic review | System level interventions defined as including all of
the following:
| Adult patients with depression | Do complex system level interventions improve recovery from depression in primary care? | 11 trials, through June 2004 Includes non-U.S. trial. |
| Skultety, 200677 Systematic review | Psychosocial treatments: “include systems of care, direct interventions or psychotherapy, telephone care, and psychoeducational efforts aimed at patients” | 6,545 patients 55 and older with depression | What is evidence base for depression treatments for older adults in primary care settings? | 8 trials, 1994 through April 2004; 4 integrated models, 4 Geriatric Evaluation Management (GEM) models |
| Smith, 200767 Systematic review | Shared care models: “joint participation of primary care physicians and specialty care physicians in the planned delivery of care for patients with a chronic condition, informed by an enhanced information exchange over and above routine discharge and referral” | Patients with chronic illness, including depression and serious mental illness | Does shared care work for chronic disease management? | 20 trials, through April 2006: 6 trials of depression care, 3 studies of serious mental illness, some in-patient. Includes non-U.S. trials |
| Williams, 200778 Systematic review | Multifaceted intervention in primary care: at least one patient centered component of chronic care model (e.g., patient self-management or active followup) | 10,910 adult primary care patients with depression | Do multifaceted interventions improve depression outcomes, what are key elements, who is likely to benefit? | 84 articles representing 28 trials, 1966 through February 2006. Includes non-U.S. trials |
| Vergouwen, 200379 Systematic review | Interventions that directly targeted the patient to improve adherence to antidepressants | Adult patients with depression | Are programs to enhance antidepressant adherence effective? | 19 trials, through 2001. Includes non-primary care settings. Not all trials were integrated care. |
| B. Systematic Reviews of Studies that Integrate Primary Care into Specialty Mental Health Settings | ||||
| Druss, 200615 Systematic review | Studies focused on improving medical care for persons with mental and addictive disorders | 1,477 adults with mental and addictive disorders | Can interventions improve general medical care for persons with specialty mental health needs? | 7 articles representing 6 trials, through June 2005, Includes inpatient settings |
Our study search plan included electronic and manual searching. We searched a wide variety of electronic sources, including MEDLINE®, CINAHL, Cochrane databases, and PsychINFO. The electronic searches were performed on December 6, 2007, and included English language articles from 1950 to the present. We also manually searched reference lists from systematic reviews.
The main search strategy included an extensive list of terms intended to identify all research publications associated with three domains: collaborative or integrated care, primary care, and mental illness. We used medical subject heading (MeSH) terms as well as key words relevant to the three domains as the search basis for all key questions. (The search strategies are provided in Appendix B). The results were separated into two libraries. One library contained articles identified by search strings as controlled trials and observational studies, including qualitative research, and formed the basis for Key Questions 1 and 4. The other library contained all articles not included in the first library and served as additional sources for Key Questions 2, 3, and 5.
We also included a search of the ‘grey’ literature that does not appear in the peer-reviewed publications. We accessed the websites of specific organizations known to be involved in integrated health care initiatives. We also conducted Internet searches on Google™ using the key words “primary care mental health integrated” to identify any relevant integrated care programs. The TEP also identified further sources that were not in the published literature.
For the case studies, after consulting with the TEP, we polled national experts about sites that might illustrate the range of experiences. We were especially interested in identifying practices that either appeared to have the requisite components but did not sustain an integrated program or those that lacked some presumably crucial element but succeeded nonetheless.
Two investigators independently reviewed article abstracts for eligibility. Full articles were examined if (1) there were no abstracts, (2) the abstracts were inconclusive, or 3) there was disagreement between the investigators on article eligibility. Differences of opinion regarding eligibility were resolved through consensus adjudication. All controlled trials and quasi-experimental design studies were included for Key Questions 1 through 5.
The initial review of controlled trials and quasi-experimental design studies included two main criteria for eligibility:
Setting: Outpatient (primary care or specialty mental health care).
Providers: Primary Care and Mental Health Specialty.
The first criterion included studies that integrated mental health care into primary care and those that integrated primary care into specialty mental health outpatient settings. We excluded studies that focused on improving the transition from inpatient to outpatient care.
The second criteria required the involvement of both primary care and mental health specialty providers. We used liberal definitions for each. PCPs included family physicians, general internists, primary care clinics, and urban and rural health centers. Specialty providers included psychiatrists, psychologists, social workers, and psychiatric nurses. We included studies that involved a care manager who had the specific role of addressing or coordinating the primary or mental health needs of patients. Any evidence that there was systematic communication between the primary care provider and the mental health provider was sufficient for inclusion based on our definition of integrated care. Thus, studies that only introduced a new mental health service within a primary care outpatient setting but did not include systematic communication between the PCP and mental health providers were not included.
Additional exclusion criteria included:
Studies conducted outside the United States.
Studies where improving mental health outcomes were a minor part of the intervention. For example, we excluded studies of interventions aimed to address the broad mental, physical, and psychosocial needs of new mothers that measured some mental health outcomes. Similarly, we excluded studies that included mental health outcomes as a minor part of an overall geriatric intervention, e.g., the geriatric evaluation and management (GEM) studies.
Studies of integrated care for non-alcohol related substance use (at the request of AHRQ).
Studies focused on integrating care for persons with Alzheimer's or dementia.
Studies focused on development disorders of children.
Quasi-experimental studies with fewer than 100 subjects per study arm.
Articles from the other literature library that provided insight into program elements and the environmental context of a trial identified for Key Questions 1 and 4 were retained for narrative discussion.
At least two researchers independently abstracted each included article using a standard abstraction form (Appendix C). We generated a series of detailed evidence tables containing all the relevant information extracted from eligible studies. Results of the evidence tables were used to prepare the text of the report and selected summary tables. At least two researchers checked the quality of each evidence table. Differences were resolved through consensus.
Studies were assigned a rating of Good, Fair, and Poor based on a 20 item checklist for designed for both randomized controlled trials (RCTs) and quasi-experimental designs.80 Two reviewers assessed the quality of all included studies. Differences of opinion were resolved by consensus adjudication of at least three reviewers. Completion of the checklist was based solely on what was reported in the articles. Poor quality studies were not retained. Analyses were subjected to sensitivity analysis by assessing whether dropping Fair quality studies would change the results.
Applicability of the results of this review is affected by the representativeness of the populations recruited to the studies. Refer to Appendix D for patient inclusion and exclusion criteria for included trials. Articles reporting secondary data analysis of RCTs for subgroup analysis were included for Key Question 4.
Many of the studies examined here were conducted under special circumstances of funding and implementation. As with many demonstration projects, the amount of external influence and support makes it hard to generalize from their experience to more typical practice environments. An especially relevant issue in this context is the source of ongoing financial support. Many of the activities tested are not easily reimbursable under conventional payment approaches. We have examined this issue in the discussion and in the case studies.
In looking across the body of evidence available, we have judged both the quality and consistency of the material and tested the effects of restricting our conclusions to only those studies of high quality. We have based our approach on the summarization methods advocated by the GRADE Working Group.81
Although the extent of heterogeneity among the studies precluded formal meta-analysis and pooling, we sought to explore the patterns across study groupings.
We created two summary scores to use in our analysis.
Because the nature of linkages between providers varies widely, we operationalized the degree of integration from high to low using two elements: (1) the degree to which decisionmaking about treatment is shared between providers and (2) the co-location of primary care and mental health specialists. We combined these two elements into four categories:
Consensus decisionmaking and onsite specialty mental health services.
Coordinated decisionmaking and onsite specialty mental health services.
Coordinated decisionmaking and separate service facilities OR PCP directed decisionmaking and on-site specialty mental health services.
PCP directed decisionmaking and specialty mental health services not provided onsite.
A study was coded as consensus, a general agreement or accord reached by the providers responsible for the patient's care and the patient, if the article explicitly used the term “consensus,” if the medical and mental health providers met jointly with the patient, or if the articles reported high levels of collaborative communication between the providers. Articles were coded as coordinated if the articles explicitly used the term “coordinated” or if the medical and mental health providers followed parallel agendas for treating the patients, usually with protocol-based programs. PCP-directed coding was taken directly from article language stating explicitly that the PCP directed the care, was not required to follow recommendations, or otherwise indicated that the PCP was primarily responsible for patient care.
We created a simple additive score to capture the degree that each integration model focused on the care process. It consists of ten elements:
Screening
Patient education/self-management
Medication
Psychotherapy
Coordinated care
Clinical monitoring
Medication adherence
Standardized followup
Formal stepped care
Supervision
Since many screening procedures took place under research conditions, screening was coded as “yes” if the tools used were ones already used, or easily implemented, in PC settings. We assigned points to each element and calculated a composite process score, which we then divided into terciles.
The studies were then further categorized into an integration matrix based on the two forms of integration denoted above.
Potential case study participants were collected from internet searches, canvassing printed literature, and nominations from TEP members, staff at Federal Government agencies, and experts in the field. An elite interview process was used to allow the case study to follow the unique narrative offered by the case study participant. The participant was given the opportunity to vet the case study write up before inclusion in the publication.
A summary of the search results is presented in Figure 2
The results for the key questions are divided into several sections. First we address studies that integrated mental health services into primary care. In the second part we examine efforts to bring primary care into mental health settings. The third section will present findings from the case studies.
| Project Name or Author, Year | Decision Making | Location |
|---|---|---|
| High Level Integrated Providers | ||
| Price, 200091 | Consensus | On-site |
| Katon, 1992107 | Consensus | On-site |
| Katon, 1995102 | Consensus | On-site |
| Katon, 1999103 | Consensus | On-site |
| Hedrick, 200387 | Consensus | On-site |
| Swindle, 200385 | Consensus | On-site |
| Intermediate I Level Integrated Providers | ||
| IMPACT2,94,121,130,173 | Coordinated | On-site |
| Grypma, 2006 93 | Coordinated | On-site |
| Pathways69,113 | Coordinated | On-site |
| Katon, 199688 | Coordinated | On-site |
| Katon, 200198 | Coordinated | On-site |
| Roy-Byrne, 2001109 | Coordinated | On-site |
| Intermediate II Level Integrated Providers | ||
| Clarke, 200583 | Coordinated | Unclear |
| Simon, 2004842 arm | Coordinated | Separate |
| Escobar, 2007174 | Coordinated | Unclear |
| Epstein, 2007112 | Coordinated | Separate |
| Boudreau, 2002104,175 | Coordinated | Separate |
| Simon, 200484 1 arm | Coordinated | Separate |
| Finley, 2003108 | Coordinated | Separate |
| Hilty, 2007105 | Coordinated | Separate |
| CCAP9,90 | PCP directed | On-site |
| PROSPECT95,125,135 | PCP directed | On-site |
| PIC Therapy86,122,123,136,176 | PCP directed | On-site |
| Asarnow, 2005114 | PCP directed | On-site |
| Low Level Integrated Providers | ||
| Tutty, 200089 | PCP directed | Separate |
| Rollman, 2005101,177 | PCP directed | Separate |
| Hunkeler, 2000110 | PCP directed | Separate |
| Fortney, 200692,131 | PCP directed | Telemed |
| Adler, 2004106,178 | PCP directed | Separate |
| QuEST5,111,124 | PCP directed | Separate |
| Datto, 200397 | PCP directed | Separate |
| RESPECT-D96,120 | PCP directed | Separate |
| Katzelnick, 2000100 | PCP directed | Separate |
| Simon, 200099 | PCP directed | Separate |
| PIC Med86,122,123,136,176 | PCP directed | Separate |
If care manager is high level, provided, and on location, coded as on-site. If care manager is low level and all other therapy is provided by referral, coded as separate.
| Care Process Elements | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Outcome Author | Screening | Patient Education/Self-Management | Medication | Psychotherapy | Coordinate Care | Clinical Monitoring | Medication Adherence | Standardized Followup | Formal Stepped Care | Supervision |
| High Integrated Process of Care | ||||||||||
| Fortney, 200692 | Yes | 2 | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes |
| Grypma, 200693 | No | 2 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| IMPACT2,94,121,130,173 | Yes | 2 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Clarke, 200583 | No | 2 | Yes | Yes | No | Yes | Yes | Yes | Yes | Yes |
| PROSPECT95,125,135 | Yes | 2 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | NR |
| Pathways69,113 | Yes | 2 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| PIC-Med86,122,123,136,176 | Yes | 1 | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes |
| Hedrick, 200387 | Yes | 2 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Katon, 199688 | No | 2 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | NA |
| Katon, 200198 | No | 2 | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes |
| CCAP9,90 | Yes | 2 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Rollman, 2005101,177 | Yes | 2 | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes |
| Price, 200091 | Yes | 2 | Yes | Yes | Yes | Yes | Yes | No | Yes | NA |
| Asarnow, 2005114 | Yes | 2 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | NR |
| Intermediate Integrated Process of Care | ||||||||||
| RESPECT-D96,120 | No | 1 | Yes | No | Yes | Yes | Yes | Yes | No | Yes |
| Simon, 200484 arm 1 | No | 1 | Yes | No | Yes | Yes | Yes | Yes | No | Yes |
| Simon, 200484 arm 2 | No | 1 | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes |
| Adler, 2004106 | Yes | 1 | Yes | No | Yes | Yes | Yes | Yes | No | Yes |
| Swindle, 2003,85 | Yes | 0 | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes |
| Datto, 200397 | No | 2 | Yes | No | Yes | Yes | Yes | Yes | No | Yes |
| Boudreau, 2002104,175 | No | 0 | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes |
| Tutty, 200089 | No | 2 | Yes | Yes | No | Yes | Yes | No | No | NA |
| QuEST5,111,124 | Yes | 1 | Yes | No | No | Yes | Yes | Yes | Yes | Yes |
| Hilty, 2007105 | No | 1 | Yes | No | Yes | Yes | Yes | Yes | NR | NR |
| Katzelnick, 2000100 | No | 1 | Yes | No | Yes | Yes | Yes | Yes | Yes | No |
| Roy-Byrne, 2001109 | Yes | 1 | Yes | No | No | No | Yes | Yes | Yes | NA |
| Low Integrated Process of Care | ||||||||||
| Finley, 2003108 | No | 1 | Yes | No | No | Yes | Yes | Yes | No | Yes |
| PIC therapy86,122,123,136,176 | Yes | 1 | No | Yes | No | Yes | No | No | Unclear | Yes |
| Katon, 1995102 | No | 2 | Yes | No | No | No | Yes | Yes | No | NA |
| Katon, 1999103 | No | 1 | Yes | No | No | No | Yes | Yes | No | NA |
| Hunkeler, 2000110 | No | 0 | Yes | No | No | No | Yes | Yes | No | Yes |
| Simon, 200099 | No | 0 | Yes | No | Yes | No | Yes | Yes | No | Yes |
| Katon, 1992107 | No | 0 | Yes | No | No | No | No | No | No | NA |
| Epstein, 2007112 | No | 0 | Yes | No | No | Yes | Yes | No | No | NA |
Screen - since many took place under research conditions, coded as “yes” if the tools used were ones already, or easily, implemented in PC settings
Matrix integration. The matrix in Figure 3
One study could not be incorporated into this review's operational definitions of integration. PRISM-E used a research design in which clinic eligibility for enrollment was based on meeting definitional criteria for integrated or enhanced referral care.82 The clinics followed a standardized study protocol across sites, however, clinics were allowed some variation in care processes to meet location conditions. The reports do not provide detailed information or results at clinic levels necessary for inclusion in levels of integration analysis. Because of PRISM-E's unique study design, it will be discussed separately later in the section.
Each of the integration scores, separately and combined, was used to assess the relationship with potential outcomes of integrated care. Those outcomes include severity of mental illness symptoms, treatment response rates, and remission rates. Results for the Partners in Care project were reported in matrix cell 9 if the results for the therapy and medication treatment arms were not reported separately.
Data analysis. Only depression disorder studies were included in data analysis, due to the limited number of articles representing other mental health disorders. Data abstracted from articles comparing interventions to usual care were entered into an Excel table and analyzed using Stata 9.0. Odds ratios (OR) and confidence intervals (CI) were calculated for categorical data using reported counts, or ORs when provided. Mean differences and CIs were calculated for continuous data using group means and standard deviations. Data was not pooled due to significant heterogeneity. Unfortunately, a number of trials reported results as time trends, which could not be included in the analysis. Other articles did not supply sufficient information for calculations. While trials with nonsignificant findings can always be included in analysis by inputting nonsignificant but mathematically correct numbers, we included only trials that reported useable data. There were also a number of articles reporting significant findings that did not report the data in a form usable in the analysis. The evidence tables do report the outcomes for all studies. The results are displayed in groups of six month intervals. If a single trial reported more than one result within a six-month period, the result closest to the end of the period was reported.
Results for Key Question 1 are limited to the most commonly used clinical outcomes of interest, symptom severity, treatment response, and remission. Comprehensive reporting of outcomes, including functioning, quality of life, utilization, and costs, by mental health illness category, is provided in the results section for Key Question 4.
Models of integration. We identified 32 trials that examined the impact of integrating mental health specialists into primary care. The majority of these studies (N=25) addressed depression care, and four studies addressed anxiety disorders. The remaining studies were single studies for somatizing disorders, ADHD, and one study addressed both depression and alcohol-related disorders. The search did identify several studies of integrated care for addiction disorders; however, since the studies did not adequately report separate results for alcohol disorders alone, they were not included in the review. The included trials were reviewed for characteristics of provider integration, elements of the care process, and a description of the care manager role, if one was used, to provide an overview of the operational models of integrated care in use.
| Outcome Project Name or Author | Case Identification | Providers Involved | Communication Methods | MH Location | Shared Medical Records | Decisionmaking |
|---|---|---|---|---|---|---|
| Depression Disorders | ||||||
| Fortney, 200692,131 | Recruitment screening by PHQ-9 | PCP, care manager, pharmacist, consult telepsychiatrist, supervisory psychiatrist | Electronic medical record recommendations and progress notes, interactive video with PCP, weekly face-to-face meetings with care manager, pharmacist, and psychiatrist. Care manager as link. | Separate, linked by telemedicine technology | Yes | Team recommendations, PCP directed |
| Grypma, 200693 | Referral | PCP, disease care manager, consulting psychiatrist | Care manager reviewed cases weekly with team psychiatrist and expert PCP. Unclear how communicated to PCP. Care manager as link. | Co-located | Yes | Care manager coordinates care with PCP |
| IMPACT2,94,121,130,173 | 50% by referral, 50% by screening by PRIME-MD items | PCP, care manager, supervisory psychiatrist, expert PCP | Web-based tracking system. Care manager reviewed cases weekly with team psychiatrist and expert PCP. Unclear how communicated to PCP. Care manager as link. | PST on-site, Stepped referral care unclear | Yes | Care manager coordinates care with PCP |
| Clarke, 2005 83 | None | PCP, research trained therapist, who also provided case management | Occasional consult between PCP and therapist. | Unclear | Yes (HMO) | Therapist coordinated with PCP |
| PROSPECT95,125,135,160 | Recruitment screening by CES-D | PCP, care manager, supervising psychiatrist | Care manager and psychiatrist review cases weekly. Formal and informal care manager and PCP contact. Care manager as link. | Separate, care manager on site | Unclear | PCP directed |
| Pathways69,113 | Recruitment screening by PHQ-9 | PCP, care manager, psychiatrist, psychologist | Care manager, psychiatrist, psychology team reviewed cases bi-weekly. Formal and informal care manager and PCP contact. Care manager as link. | Co-located. Stepped care referral separate | No, but shared monitoring system | Care manager coordinates care with PCP |
| RESPECT-D96,120 | Referral | PCP, care manager, consulting psychiatrist | Care manager and psychiatrist reviewed cases weekly. PCP received written care management report forms. Consulting psychiatrist as liaison between referral care and PCP. | Separate, care manager on site. | Unclear | PCP directed |
| Simon, 200484 | None (Recruitment by computerized pharmacy and visit registry records) | Treatment 1: PCP, care manager, supervising psychiatrist/psychologist | Care manager and psychiatrist reviewed cases weekly. PCP received structured report and computer generated recommendations. Care manager contacted PCP for treatment changes. | Separate, linked by telemedicine technology | Unclear | Care manager coordinates care with PCP. PCP directed |
| Treatment 2: PCP, care manager, therapist, supervising psychiatrist/psychologist | Care manager and psychiatrist reviewed cases weekly. Therapist not in contact with PCP. Care manager contacted PCP for treatment changes. PCP received structured report and computer generated recommendations. | Separate, linked by telemedicine technology | Unclear | Care manager coordinates care with PCP. PCP directed | ||
| Adler, 2004106,178 | Recruitment screening by PC-SAD | PCP, clinical pharmacist, consulting psychiatrist available | Pharmacist provided formal computer report to PCP. | Separate, pharmacist on site | No | PCP directed |
| Finley, 2003108 | Referral | PCP, clinical pharmacist, supervising psychiatrist | Pharmacist and psychiatrist reviewed cases weekly. Pharmacist consulted PCP regarding medication change. Progress reports to medical records. | Separate, pharmacist on-site | Unclear | Pharmacist and PCP within defined roles |
| Swindle, 200385 | Recruitment screening by PRIME-MD | PCP, clinical nurse specialist, consulting psychiatrist | PCP and CNS develop and present treatment plan to patient. Warm hand-off if CBT referral. | Co-located | Unclear | PCP and CNS within defined roles |
| Partners in Care86,122,123,136,176 | Recruitment screening by CIDI | QI meds: PCP, care manager, nurse supervisor, psychiatrist, expert PCP | Monthly expert team meetings and case review. Care manager provided written reports to PCP. | Separate, care manager on-site | Unclear | PCP directed |
| QI therapy: PCP, therapist, therapy supervisor, psychiatrist, expert PCP | Monthly expert team meetings and case review. Therapist provided written reports to PCP. | Co-located CBT, separate for warm hand-off referral | Unclear | PCP directed | ||
| Datto, 200397 | Referral | PCP, care manager, supervising psychiatrist | Care manager faxed assessment letters and scores to PCP. PCP consulted with supervising psychiatrist as needed. | Separate, linked by telemedicine technology | No | PCP directed |
| Hedrick, 200387 | Both screening and referral | PCP, social worker clinical psychologist, psychiatrist, psychology technician | Regular team meetings, electronic medical records with alert system. Team psychiatrist contacted PCP for treatment plan consensus. | Co-located | Yes | Consensus. Psychiatrist would write scrip if PCP did not. |
| Katon, 1995102 | None | PCP, psychiatrist | Monthly case conferences and consultation between PCP and psychiatrist. Verbal consult followed by consult letter within one week. | Co-located | Not reported, HMO | Consensus |
| Katon, 1999103 | None | PCP, psychiatrist | Monthly case conferences and consultation between PCP and psychiatrist. Verbal consult followed by consult letter within one week. | Co-located | Not reported, HMO | Consensus |
| Katon, 199688 | None | PCP, psychologist, consulting psychiatrist | Case-by-case consultation between PCP and psychologist. Weekly meetings between psychiatrist and psychologist. Psychologist as link between psychiatrist and PCP. | Co-located | Not reported, HMO | Collaborative, manualized |
| Katon, 200198,115 | None | PCP, depression specialist, study psychiatrist | PCP received intermittent verbal and written updates on patient progress from depression specialist. (Patient in maintenance phase) | Co-located | Not reported, HMO | Collaborative |
| Boudreau, 2002104,175 | Referral | PCP clinical pharmacist, study psychiatrist | Bi-monthly conferences between psychiatrist and pharmacist. Medication changes communicated to PCP. | Separate, pharmacist on-site | Yes | PCP directed, pharmacist for med changes |
| Tutty, 200089 | None | PCP, psychotherapist who also provided case management | Computer generated reports and treatment algorithms provided to PCP and therapist. | Separate | Not reported, HMO | PCP directed |
| Hunkeler, 2000110 | Referral | PCP, telehealth nurse, supervising psychologist | Nurse reported patient progress to PCP, method not reported. No reported communication. | Not reported | Not reported | PCP directed |
| QuEST5,111,124 | 2-stage recruitment screening by staff | PCP, clinic nurse, consulting psychiatrist (never utilized) | No communication between behavioral health and PCP noted. | Separate | No | PCP directed |
| Simon, 200099 arm 1 Feedback only | Computerized pharmacy records | PCP | PCP received computer generated feedback with visits and medication history and algorithm based treatment recommendations. | Separate | Not reported, single HMO | PCP directed |
| Simon, 200099 arm 2 Feedback and care management | Computerized pharmacy records | PCP, care manager, supervising psychiatrist | PCP received computer generated feedback with visits and medication history and algorithm based treatment recommendations. Care manager as link. | Separate | Not reported, single HMO | PCP directed |
| Hilty, 2007105 | Referral | PCP, telemedicine coordinator, consulting psychiatrist | PCP and psychiatrist held case reviews, psychiatrist trained PCP on guidelines, coordinator role not reported. | Separate, telemedicine | Not reported | PCP and psychiatrist collaborated on initial care plan |
| Katzelnick, 2000100 | Recruitment screening with CES-D | PCP, care manager, consulting psychiatrist | PCP and study psychiatrist held periodic case reviews, telephone consultations, PCP received written updates of care monitoring, care manager contacted by phone if patient not doing well. | Not reported | Not reported, HMOs | PCP directed |
| Asarnow, 2005114 | Recruitment screening by brief written CIDI questionnaire and CES-D | PCP, care manager, expert leader quality improvement team for consultation | PCP approved treatment plan created by care manager; methods of communication not reported | On-site | Not reported | PCP directed |
| Anxiety Disorders | ||||||
| Rollman, 2005101,177 | Recruitment screening by PRIME-MD | PCP, care manager, supervisory psychiatrist | Electronic medical record for treatment and progress notes. Care manager and psychiatrist review cases weekly. Care manager as link. | Unclear | Yes | PCP free to reject recommendations |
| CCAP9,90 | Both screening by DSM-IV and referral | PCP, research trained therapist who also provided care management, supervising psychiatrist | Therapist and psychiatrist review cases weekly. Written communication by therapist to PCP. Therapist as link. | Co-located | No | PCP directed |
| Roy-Byrne, 2001109 | Recruitment screening by DSM-IV | PCP, psychiatrist | PCP received consultation letter after each psychiatric visit. | Unclear | Not reported | Psychiatrist led |
| Price, 200091 | PCP screened and referred | PCP, clinical psychologist, consulting psychiatrist available | Psychologist met with PCP in formal department meetings and informal “curbside” meetings, joint meetings with patient | Co-located | Not reported, single HMO | Consensus |
| Other Disorders | ||||||
| Katon, 1992107 | Recruitment screening | PCP, research psychiatrist | PCP and psychiatrist met with patient as team. Consult letters and meetings. | Co-located | Not reported, single HMO | Consensus |
| Epstein, 2007112 | Referral | PCP, research psychiatrists | Consultation reports | Separate | No | PCP directed |
Other forms of communication links between providers ranged from consultations on an as-needed basis83, 97 to regularly scheduled case reviews69, 84, 86–88, 90, 92–96, 100–105 and formal protocols for updating primary care providers on patient progress.69, 84, 86, 89, 90, 92, 95, 96, 98–101, 106 These updates were provided in the form of computer generated reports, notes and flags in electronic medical records, standardized reports from care managers, or updating consultation letters following patient treatment by a mental health provider. Noted is the lack of information on whether communication linkages included specific training of medical and mental health providers' interpersonal collaborative skills.
Co-located services are intended to facilitate care coordination and communication between providers as well as increase access for patients. Published reports did not always clearly report the location of mental health services. Of those that did, the majority either co-located mental health providers or behavioral health trained care managers in the primary care site69, 85–88, 90, 91, 93, 94, 98, 102, 103, 107 or used telemedicine technology to bring otherwise unavailable services to rural or small clinic settings.84, 92, 97, 105
Shared medical records provide a common information base to involved providers, a systematic level of integration. Unfortunately, published reports that included specific information on shared medical records were scarce. Only seven trials clearly stated that providers shared medical records.83, 87, 92–94, 101, 104 Single HMOs were the settings for another nine trials,88, 89, 91, 98–100, 102, 103, 107 which might imply improved access to medical records by providers, but this remains speculation without further documentation.
Decisionmaking processes operationalize the nature of the relationship between the medical and mental health providers. Wulsin et al. describe seven relationship levels ranging from completely autonomous to a fully integrated team that provides comprehensive care.52 The trials fell into three patterns of decisionmaking used by providers. The majority of trials were evenly split between coordinated decisionmaking practices69, 83, 84, 88, 93, 94, 98, 105, 108, 109 and the primary care provider principally responsible for care, with the assistance of care management and specialty mental health providers as support86, 92, 95, 96, 106, 89, 90, 97, 99–101, 104, 110–112 Only five trials reported consensus decisionmaking between medical and mental health providers.87, 91, 102, 103, 107
| Outcome Project Name or Author | Screening | Patient Education of Condition | Patient Self-management Skills | Psychotherapy | Mental Health Specialist Involvement | Clinical and Adherence Monitoring | Standardized Followup | Formal Stepped Care |
|---|---|---|---|---|---|---|---|---|
| Depression Disorders | ||||||||
| Fortney, 200692,131 | Yes | Patient and care manager | Care manager | By referral | Tele-psychiatrist, available for PCP consult | Care manager, clinical, medication adherence | Yes, scripted, 12 months | Yes |
| Grypma, 200693 | Not reported | Care manager, optional group education by HMO patient education department | Care manager | 6 to 8 PST sessions by care manager | Psychiatrist, available for consult | Care manager, PHQ9 clinical | Yes, based on patient's self-determined need | Yes |
| IMPACT2,94,121,130,173 | 2 item from PRIME-MD | Care manager | Care manager | 6 to 8 PST sessions by care manager | Psychiatrist, available for consult | Care manager, PHQ9 clinical | Yes, 12 months | Yes |
| Clarke, 200583 | No | Therapist | Therapist | Up to 9 60-minute CBT sessions | Mental health therapist, provide CBT, consult with PCP | Mental health provider, clinical, medication adherence | Yes, 9 months | Yes |
| PROSPECT95,125,135 | CESD | Care manager | Care manager | IPT | Nurse, social worker, or clinical psychologist, provide IPT and care management | Care manager, clinical and adherence | Yes, unclear | Yes |
| Pathways69,113 | Mailed screen, PHQ | Care manager | Care manager | 6 to 8 PST sessions by care manager | Psychiatrist, psychologist, available for consult | Care manager, PHQ9 clinical | Yes, 12 months | Yes |
| RESPECT-D96,120 | No | No | Care manager | By referral | Psychiatrist, available for consult, liaison between referral care and PCP | Care manager, PHQ9 clinical, medication adherence | Yes, 12 month continuation phase, then maintenance | No |
| Simon, 200484 | No | No | Patient workbook (adapted from CBT in Treatment 2) | Treatment 1: By referral | Psychiatrist, psychologist available for consult | Limited, care manager, clinical, medication adherence | Yes, 20 weeks | No |
| No | No | Therapist | Treatment 2: 8 30–40 minute CBT sessions | Mental health clinician, provide CBT and care management | Care manager, clinical and adherence | Yes, 20 weeks | No | |
| Adler, 2004106,178 | PC-SAD | Pharmacist | No | No | Psychiatrist, available for consult | Pharmacist, MADRS clinical, medication adherence | Yes, 18 months | No |
| Finley, 2003108 | No | Pharmacist care manager | No | No | Psychiatrist, available for consult | Pharmacist care manager, clinical and medication adherence | Yes, 6 months | No |
| Swindle, 200385 | 2 item PRIME-MD | No | No | Warm hand off referral | Mental health clinical nurse specialist as care manager; psychiatrist, available for consult | Limited, care manager, clinical medication | Yes, 2 months | Yes |
| Partners in Care86,122,123,136,176 | CIDI | Care manager | No | QI Med: By referral | Psychiatrist, available for consult | Care manager, clinical, medication adherence | Yes, randomized to 6 or 12 months | Yes |
| No | QI Therapy: 12 to 16 sessions CBT or 2 session brief CBT | Therapist, provide CBT; psychiatrist, available for consult | Therapy adherence. Unclear if clinical monitoring | No | Unclear | |||
| Datto, 200397 | No | Patient and care manager | Limited, care manager | By referral | Psychiatrist, available for consult | Care manager, CESD clinical, medication adherence | Yes, 16 weeks | No |
| Hedrick, 200387 | 4 methods | Patient | Patient | 6 session CBT | Social worker or clinical psychologist, provide CBT; psychiatrist, available for consult | Care manager, CESD clinical, medication adherence | Yes, 9 months | Yes |
| Katon, 1995102 | No | Patient, psychiatrist | No | By referral | Psychiatrist, provide direct patient care, consulted with PCP | Psychiatrist, medication adherence | Yes, up to 9 months | No |
| Katon, 1999103 | No | Patient, psychiatrist | No | By referral | Psychiatrist, provide direct patient care, consulted with PCP | Psychiatrist, medication adherence | Yes, up to 6 months | No |
| Katon, 199688 | No | Patient, psychologist | Psychologist | Manualized brief CBT and adherence counseling, completed in 4 to 6 sessions | Psychologist, provide 4 to 6 sessions, clinical monitoring. Psychiatrist review medications. | Psychologist and psychiatrist, clinical and medication adherence | Yes, up to 6 months | No |
| Katon, 200198,115 | No | Patient | Patient and care manager collaboration, devised during 2 face-to-face meetings | By referral | Psychiatrist, available for consult | Care manager, BDI clinical, results mailed to patients, patient care plan and medication | Yes, up to 3 months | No |
| Boudreau, 2002104,175 | No | No | No | By referral | Psychiatrist, available for consult | Pharmacist, PRIME-MD clinical, medication adherence | Yes, 12 months | Yes |
| Tutty, 200089 | No | Patient | Therapist | 6 weekly 30 minute CBT | Psychotherapist, provided CBT | Therapist, medication adherence | No | No |
| Hunkeler, 2000110 | No | No | No | 10 6-minute calls by telehealth nurse for emotional support and behavioral interventions for medication adherence | Supervising clinical psychologist | Telehealth nurse, medication adherence | Yes, 16 weeks | No |
| QuEST5,111,124 | 2 stage screener | Patient | No | By referral | Psychiatrist, available for consult | Primary care clinic nurse, clinical and adherence | Yes, 8 weeks | Yes |
| Simon, 200099 Feedback and care management | No | No | No | By referral | Psychiatrist, available for consult | Medication adherence | Yes, 16 weeks | No |
| Hilty, 2007105 | No | Yes | No | Telepsychiatry visits (50 minutes at first, 20 minutes thereafter) offered at 2, 6, 10, 14, and 18 weeks | Telepsychiatrist, direct patient care and also consultation and training | Clinical, medication, and therapy adherence | Yes, 18 weeks | Not reported |
| Katzelnick, 2000100 | SCID | Patient | No | By referral | Psychiatrist, available for consult | Clinical and medication adherence | Yes, 42 weeks | No |
| Asarnow, 2005114 | CES-D, brief CIDI questionnaire | Care manager | Care manager | Up to 14 50-minute sessions of manualized CBT | Psychotherapist care manager, provide CBT and care management | Care manager, clinical, medication adherence | Yes, 6 months | Yes, based on Texas Algorithm Study |
| Anxiety Disorders | ||||||||
| Rollman, 2005101,177 | Items from PRIME-MD | Care manager | Patient, workbook with care manager followup | Assisted referral | Psychiatrist, available for consult | Care manager, clinical and adherence | Yes, 12 months | Yes |
| CCAP9,90 | 2 item screen | Patient and care manager | Patient and care manager | 6 CBT sessions in 3 months | Behavioral health specialist, provide CBT and care management | Care manager, clinical and adherence | Yes, 9 months | Yes |
| Roy-Byrne, 2001109 | 2 item screen | Patient | No | By referral | Psychiatrist, provide direct patient care, consulted with PCP | Psychiatrist, medication adherence | Yes, 12 months | No |
| Price, 200091 | Shedler Quick Psycho Diagnostics Panel | Psychologist | Psychologist | CBT, not manualized. Goal of 4–6 sessions. | Psychologist, provide direct patient care, consulting psychiatrist | Psychologist, treatment adherence | No | Yes |
| Other Disorders | ||||||||
| Katon, 1992107 | No | No | No | By referral | Psychiatrist, provided direct patient care, available for consult | No | No | No |
| Epstein, 2007112 | No | No | No | No | Psychiatrist, interpret behavioral scoring and provide titration recommendations | Researchers | Yes, 12 months | No |
Patient collaboration features aim to improve a patient's engagement in the care process and support self-care. Reporting of program elements of patient education regarding the diagnosed mental illness and training in self-management skills was frequently limited. Even so, the large majority of studies reported providing patient education.69, 83, 86–95, 97, 98, 100–103, 105, 106, 108, 109, 111 Ten studies provided printed or video materials to patients for self-study,84, 87 88, 89, 98, 100, 102, 103, 109, 111 while 13 studies involved a care manager or mental health therapist in the education process.83, 86, 90–95, 97, 101, 106, 108, 113 Training patients in self-management skills was less common.83, 84, 87–98, 101, 113 Of those studies, only one study intervention arm relied solely on the patient to complete a self-help workbook on self-management skills without supervision by a care manager or therapist.84 Studies of integrated care programs for anxiety disorders were more likely to use patient education and skill development, perhaps reflecting anxiety programs adapting what was learned from depression programs.
The Agency for Healthcare Research and Policy (AHRQ) guidelines for depression care included recommendations for evidence-based forms of psychotherapy. However, psychotherapy is a relatively new service for the primary care setting. About one-third of the studies used therapists or care managers to provide psychotherapy;69, 83, 84, 86–88, 90, 91, 93–95, 105 referral to specialty mental health services was more commonly used.84–86, 92, 96–104, 107, 109, 111 Cognitive behavioral therapy (CBT) was the most frequent form,83, 84, 86–91 with problem solving therapy (PST) specifically used in three studies,93, 94 69 and one study reporting using interpersonal therapy (IPT).95 One study relied only on the potentially therapeutic relationship, with a telehealth nurse providing emotional support but not counseling.110
Systematic followup was a strong component of the integrated care models, with 23 studies clearly reporting monitoring clinical outcomes of patients69, 83–88, 90, 92–98, 100, 101, 104–106, 108, 111, 114 and 29 studies monitoring patient adherence.83–106, 108–111, 114 The studies that did not utilize systematic patient monitoring were early investigations of integrated care.107 Monitoring and followup of patients were generally performed by care managers or therapists. Twenty-eight studies used formal followup protocols,69, 83–88, 90, 92–106, 108–112 with eight studies following patients during the acute phase of treatment84, 85, 97–99, 105, 110, 111 and 20 studies with longer term followup into a continuation or maintenance phase.69, 83, 86–88, 90, 92–96, 100–104, 106, 108, 109, 112 Formal stepped care processes for patients not responding to treatment were used in 14 studies.69, 83, 85–87, 90–95, 101, 104, 111
One study worthy of mention is a depression relapse prevention program that provided feedback of clinical outcomes to the patients themselves. This feedback to patients was unique among the integrated care programs. Ludman et al. described using bar charts as visual feedback aids for patients who were constructing written self-management plans.115
| Outcome Project Name or Author | Title Certificate Training | New Staff | Role/Responsibilities* | Mode | Contact Frequency | Supervision |
|---|---|---|---|---|---|---|
| Depression Disorders | ||||||
| Fortney, 200692,131 | Depression nurse care manager, RN, training or behavioral health experience not reported | Yes | Coordinate care, provide medical care | Telephone, interactive video website | Bi-weekly in acute phase, otherwise monthly for-up to 12 months through watchful waiting or continuance phase | Yes, psychiatrist |
| Grypma, 200693 | Depression care manager (IMPACT post-study. Medical assistant hired to help DCM with patient tracking) | Yes | Coordinate care; provide medical care; provide behavioral health care, including relapse prevention plan. | Face-to-face, telephone | Based on patient's self-determined need | Psychiatrist consultation as needed |
| IMPACT2,13094,121,173 | Depression care specialist, nurse or psychologist, training in behavioral care for study. | Yes | Coordinate care; provide medical care; provide behavioral health care, including relapse prevention plan. | Face-to-face, telephone | Bi-weekly in acute phase, otherwise monthly for up to 12 months | Yes, psychiatrist |
| Clarke, 200583 | No title, duties performed by master's level mental health specialist | Yes | Provide medical care; provide behavioral health care | Face-to-face, telephone | Up to 9 sessions during 3 month acute phase, 6 contacts over 9 month continuation phase | Yes, study psychiatrist |
| PROSPECT95,125,135 | Depression care managers, nurse, social worker, clinical psychologist | Yes | Coordinate care, provide medical care, provide behavioral health care | Face-to-face, telephone | Unclear | Not reported |
| Pathways69,113 | Depression care specialist, RN, trained for study | Yes | Coordinate care, provide medical care, provide behavioral health care | Face-to-face, telephone, mail | Bi-weekly for acute phase, monthly thereafter for up to 12 months | Yes, psychiatrist |
| RESPECT-D96,120 | Care manager, no special training, during trial; most were primary care or mental health nursing | No | Coordinate care, provide medical care | Telephone | Minimum of monthly for acute phase, bi-monthly for continuation phase, every 6–12 months for maintenance. | Yes, psychiatrist |
| Simon, 200484 | Care manager, mental health clinicians with at least 1 year of depression assessment experience | Yes | Coordinate care Treatment 1: Provide medical care Treatment 2: Provide medical care, provide behavioral health care | Telephone, mail | 3 telephone contacts within 12 weeks, 1 mail contact at 20 weeks. | Yes, psychiatrist |
| Adler, 2004106,178 | No title, duties performed by pharmacist | No | Coordinate care, provide medical care | Face-to-face, telephone | At least 9 contacts over 18 months. | Yes, psychiatrist |
| Finley, 2003108 | Care manager, clinical pharmacist | Yes | Provide medical care | Face-to-face, telephone | 4 contacts during medication trial, 3 followups over remainder of 6 months | Yes, psychiatrist |
| Swindle, 200385 | Clinical nurse specialist, mental health service experience | No (transfer of staff) | Coordinate care, provide medical care | Face-to-face, telephone | Contact at 2 weeks, 1 month, and 2 months following initial visit. | Yes, psychiatrist |
| Partners in Care86,122,123,136,176 | QI - Med: Depression nurse specialist, local practice nurse trained for study | Yes | Provide medical care | Face-to-face | Weeks 2, 4, and monthly thereafter, randomized to 6 or 12 month followup | Yes, psychiatrist |
| QI - Therapy: Depression nurse specialist in limited capacity | No | Patient assessment and education | Face-to-face | No | Yes, psychiatrist | |
| Datto, 200397 | Disease management nurse, extra training and experience in mental health | Yes | Coordinate care, provide medical care | Telephone | Interval monitoring for 16 week acute phase | Yes, psychiatrist |
| Hedrick, 200387 | No title, social work staff | Yes | Coordinate care, provide medical care | Telephone | Regular schedule for 9 months | Yes, psychiatrist |
| Katon, 1995102 | No care manager | NA | Psychiatrist reviewed records for adherence | Face-to-face | 2 to 4 visits in acute phase | NA |
| Katon, 1999103 | No care manager | NA | Psychiatrist reviewed records for adherence | Face-to-face, telephone | 2 to 4 visits in acute phase, 1 to 2 telephone followup contacts between visits | NA |
| Katon, 199688 | No care manager | NA | Psychologist collected medication and clinical monitoring | Face-to-face, telephone | 4 to 6 visits in first 6 weeks, 4 telephone contacts at 8, 12, 18, and 30 weeks | NA |
| Katon, 200198,115 | Depression specialist, psychologist, nurse practitioner, and social worker with advanced degrees | Yes | Coordinate care, provide medical care, provide behavioral care | Face-to-face, telephone, mail | 2 face-to-face, 3 telephone contacts mixed with 4 mailed personalized feedback letters over 12 months | Yes, psychiatrist |
| Boudreau, 2002104,175 | No title, duties performed by pharmacist | Yes | Provide medical care | Face-to-face, telephone | Weekly for 4 weeks, biweekly for 2 months, then bimonthly until 12 months | Yes, psychiatrist |
| Tutty, 200089 | No care manager | NA | Therapist may prompt PCP based on computer report of clinical monitoring and medication adherence | Telephone | 6 telephone sessions over 6 weeks | NA |
| Hunkeler, 2000110 | No care manager | No | Primary care nurses offered emotional and instrumental support, medication adherence | Telephone | 12 to 14 calls during 16 weeks of acute phase | Yes, clinical psychologist |
| QuEST5,111,124 | No care manager | No | Clinical monitoring and medication adherence by clinic nurse | Face-to-face, telephone | 6 contacts over 6 weeks, with option to extend for 2 weeks | Yes, PCP |
| Simon, 200099 arm 2 Feedback and care management | Care manager, no behavioral health experience | Yes | Coordination of care | Telephone | A minimum of 3 10–15 minute telephone contacts, weeks 1, 8 and 16 | Yes, psychiatrist (case load approximately 100 patients) |
| Hilty, 2007105 | Telemedicine coordinator, training not reported | Yes | Coordination of care, provide medical care | Telephone | Not reported | Not reported |
| Katzelnick, 2000100 | Coordinator, clinical mental health experience | Yes | Coordination of care, provide medical care | Telephone | 2 to 5 contacts over 42 weeks (PCP visits at weeks 1, 3, 6, and 10, then every 10 weeks) | No |
| Asarnow, 2005114 | Care manager, master's or doctorate in mental health or nursing | Yes | Coordinate care, provide medical care, provide behavioral health care | Face-to-face, telephone | Variable by site as determined by quality improvement team | Not reported |
| Anxiety Disorders | ||||||
| Rollman, 2005101,177 | Care manager, no special behavioral training beyond training for study | Yes | Coordinate care; provide medical care | Telephone | Every 1–3 months in continuation phase for up to 12 months | Yes, team of psychiatrist, psychologist, internist, family practitioner |
| CCAP9,90 | Behavioral health specialist, master or new doctoral levels with no or minimal CBT, trained for study | Yes | Coordinate care, provide medical care, provide behavioral health care | Face-to-face, telephone | 6 session during 3 month acute phase, 6 contacts over 9 month continuation phase | Yes, psychiatrist |
| Roy-Byrne, 2001109 | No care manager | NA | Psychiatrist provided medication and followup care | Face-to-face, telephone | 2 visits and 2 telephone contacts in acute stage, through 8 weeks, 5 contacts in 10 month continuation phase | NA |
| Price, 200091 | No care manager | NA | Coordination of care clinical, medication, and treatment monitoring performed by psychologist | Face-to-face | Goal of 4 to 6 sessions | NA |
| Other Disorders | ||||||
| Katon, 1992107 | No care manager | NA | None | NA | Not reported | NA |
| Epstein, 2007112 | No care manager | NA | Monitor medication maintenance carried out by consultation service and reported to PCP | NA | NA | NA |
Role/Responsibilities: Coordinate care is noted when the care manager coordinates care for the patient, including follow up if patients miss appointments. Provide medical care is noted when the care managers monitor medication adherence, side effects, etc. Provide behavioral health care is noted when the care manager providing brief psychotherapeutic treatments, etc.
For 19 studies, the care manager was a new position in the practice.69, 83, 84, 86, 87, 90, 92–95, 97–101, 104, 105, 108, 114 Training and prior experience for these care managers ranged from bachelor level employees with some clinic staff experience or nurses with no prior mental health experience to master's or doctoral level mental health providers. Of note were two studies that used clinical pharmacists to deliver care management.106, 108 Virtually all care managers were supervised by psychiatrists.
Delivery of care management was most commonly accomplished by face-to-face meetings with patients69, 83, 85, 86, 88, 90, 91, 93–95, 98, 102–104, 106, 108, 109, 111 and/or telephone contact.69, 83–88, 90, 92–101, 103–106, 108–111 There was a wide range of frequency of contacts. Protocols for contacts may call for a minimum of two to three contacts in the acute phase for care managers who do not provide some form of psychotherapy, to six or more sessions for care managers who do. Monthly contact with patients was typical for the continuation phase of protocols.
There was a marked difference in the use of care management for the disorders represented by the studies. Somatizing and other disorders were far less likely to use care management in the integration models.
Of those illnesses that routinely used care managers in integrated care, there were no major discernible differences in models applied to different mental health illnesses, except for one noteworthy study. The Katon et al., 2001 study98 focused on relapse prevention for depression patients, many of whom had already participated in a collaborative care model. As reported by Ludman et al.,115 the care managers, known as depression specialists, provided support and counseling to patients and guided them through a process to develop self-care prevention plans. Patients received graphical representations of their depression severity scores over time. By linking the severity score feedback with the prevention plan created by the patient, the patient might learn to recognize triggers and presyndromal signs of possible impending relapses.
Theoretical support for models. Wagner's CCM46 is the conceptual model most often identified as informing the intervention; nine of the studies explicitly mentioned the model of integration was based on at least some elements of the CCM86, 87, 92, 94, 96, 98, 99, 101, 111 and some of the reviews in the area frame the study of integration within the CCM.71, 78 For the most part, however, the interventions fall well short of fully implementing all the key elements of the CCM. Wagner46 suggested that practice re-design, patient education, an enhanced expert system (providing education and decision support to clinicians) and a developed information system that could track outcomes and provide feedback to providers are essential to providing high quality chronic care. All should also be implemented in an environment characterized by the use of evidence-based care. These recommendations are quite broad, and to some degree one can argue that each integration intervention addresses at least part of the CCM. But, the models of integration often fail to explicate how (and why) they operationalize the CCM in specific ways for the treatment of mental illness within the primary care settings or how the specific elements of the interventions are linked to the process of care.
First, identification of patients with mental health problems in primary care has long been recognized as inadequate. For example, studies show that primary care fails to recognize between one-third and one-half of depression cases.57, 117 A substantial body of evidence, however, indicates that improving case identification alone is not sufficient for improving outcomes for patients;57 systematic therapeutic action is required. Thus integration efforts do not simply target case-identification.
Second, integration proponents recognize that provider practices often lead to inadequate care. The separation of mental and physical health into different medical specialties encourages providers to focus on only the conditions that fit within their specialty. Primary care physicians are often uncomfortable addressing mental health issues. Moreover, when primary care physicians do provide treatment for mental health problems, it often falls below standards for quality care.35, 36 Greater structure through guidelines may help to address this problem.
Effect of levels of integration on outcomes: Provider integration. Forest plots of symptom severity, response rates, and remission rates were created for the three forms of integration described above: provider integration, integrated process of care, and matrix integration. These plots examine essentially the same pool of studies, which are regrouped to reflect their meeting various taxonomic approaches to integration. Because of high levels of heterogeneity, it was not possible to pool studies to estimate mean effects. Improvements in symptom severity are plotted to the left of the nonsignificance line as reductions in scores are better. Improvements in treatment response and remission rates are plotted to the right of the nonsignificance line. If increased levels of provider integration improve outcomes, one would expect to see a drift from greater to lesser improvements as the level of integration declines.
| Outcome Project or Author | Measurement | Patient Category | Assessment Period | Direction of Effect | Result/Effect Size | Comment |
|---|---|---|---|---|---|---|
| MENTAL ILLNESS SYMPTOMS (SEVERITY) | ||||||
| High Level (Depression) | ||||||
| Katon, 1999 and 20023,103 | SCL-20 | All patients | 3 months | Intervention | P=.003 | |
| 6 months | Intervention | P=.04 | Treatment × time | |||
| All patients | 28 months | Intervention | P=.05 | Treatment × time | ||
| Moderate severity | 28 months | Intervention | P=.004 | Treatment × time | ||
| High severity | 28 months | NS | ||||
| Lin, 19994 (followup of Katon, 1995 and Katon, 1996) | SCL-20 | 19 months | NS | |||
| Inventory for depressive symptomatology | 19 months | NS | ||||
| Hedrick, 200387 | SCL-20 | 3 months | Intervention | -0.17, 95% CI 0.31; -0.03, p<.05 | Equalized amount of treatment between collaborative and consult-liaison models; attention control | |
| 9 months | NS | |||||
| Swindle, 200385 | Beck depression inventory | All patients | 3 months | NS | No difference in outcomes for major depression or dysthymia. Several CNS were not voluntary, did not follow protocol, etc. | |
| 12 months | NS | |||||
| Major depression | 3 months | NS | ||||
| 12 months | NS | |||||
| High Level (Anxiety) | ||||||
| Price, 200091 | Shedler Quick Psycho Diagnostics Panel (Anxiety) | 6 months | Intervention | P=.046 | ||
| High Level (Other Disorders) | ||||||
| Katon, 1992107 | SCL somatization | 6 months | NS | |||
| 12 months | NS | |||||
| SCL depression | 6 months | NS | ||||
| 12 months | NS | |||||
| SCL anxiety | 6 months | NS | ||||
| 12 months | NS | |||||
| Intermediate I Level (Depression) | ||||||
| IMPACT2,179 | SCL-20 | 3 months | Intervention | -0.28, 95% CI 0.34; -0.21, p<.001 | ||
| 6 months | Intervention | -0.28, 95% CI 0.35; -0.19, p<.001 | ||||
| 12 months | Intervention | NNT=4 | ||||
| 18 months | Intervention | NNT=6 | ||||
| 24 months | Intervention | NNT=9 | ||||
| Grypma, 200693 | PHQ-9 score | All depression patients | 6 months | NS | IMPACT intervention group compared to post-study integrated care group. Same results for less resources | |
| Patients over 60 years | 6 months | NS | ||||
| PROSPECT125 | Hamilton Depression Rating Scale | All patients | 4 months | -3.5, 95% CI -4.7; -2.4, p<.001 | ||
| 8 months | -2.1, 95% CI -3.4; -0.9, p<.001 | |||||
| 12 months | -1.8, 95% CI -3.1; -0.5, p=.006 | |||||
| Major depression | 4 months | -4.6, 95% CI -6.2; -3.1, p<.001 | ||||
| 8 months | -2.5, 95% CI -4.1; -0.9, p.003 | |||||
| 12 months | -2.1, 95% CI -3.7; -0.4, p=.02 | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| Katon, 200198 | SCL-20 | 12 months | NS | |||
| Intermediate I Level (Anxiety) | ||||||
| Roy-Byrne, 2001109 | PDSS Panic disorder severity scale | 3 months | NS | Intervention × time p=.05, driven by reduction in anticipatory anxiety | ||
| 6 months | Intervention | P=.003 | ||||
| 9 months | NS | |||||
| 12 months | NS | |||||
| Anxiety sensitivity scale | 3 months | Intervention | P=.002 | Intervention × time p=.018 | ||
| 6 months | Intervention | P<.001 | ||||
| 9 months | NS | |||||
| 12 months | Intervention | P=.035 | ||||
| Panic related agoraphobic avoidance | 12 months | NS | ||||
| Fear Questionnaire agoraphobic subscale | 12 months | NS | ||||
| CES-D | 3 months | Intervention | P=.002 | Intervention × time p=.03 | ||
| 6 months | Intervention | P=.005 | ||||
| 9 months | Intervention | P=.036 | ||||
| 12 months | Intervention | P=.02 | ||||
| Intermediate II Level (Depression) | ||||||
| Clarke, 200583 | CES-D | 12 months | NS | Study may have been under-powered to compare 2 active treatments. About 75% remission in both groups within 3 months. | ||
| Hamilton Depression Rating Scale | 12 months | NS | ||||
| Youth Self Report | 12 months | NS | ||||
| Simon, 200484 | SCL-20 | Telephone psycho-therapy plus care management | 6 months | Intervention | P<.001 | Difference between groups is equal to ½ of the SD of scores in general population |
| Telephone care management | 6 months | Intervention | NS | |||
| Boudreau, 2002175 | SCL-20 | 12 months | NS | |||
| Finley, 2003108 | Brief inventory for depressive symptoms | 6 months | NS | |||
| Partners in Care122,123 | Percent with probable depression based on CIDI screen | All interventions | 6 months | Any intervention | P=.001 | |
| 12 months | Any intervention | P=.005 | ||||
| QI-Therapy | 6 months | Intervention | P<.05 | |||
| 12 months | Intervention | P<.05 | ||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| Overall poor outcome: patient scored depressed if score in depressed range of all 3 CIDI screen, full 12-month CIDI, and CES-D, vs. 2 or fewer measures. | QI-Therapy | 6 months | Intervention | P<.05 | ||
| 12 months | Intervention | P<.05 | ||||
| 18 months | Intervention, usual care and QI-Meds | P<.05 | ||||
| 24 months | Intervention, QI-Meds | P<.05 | ||||
| Asarnow, 2005114 | CES-D | 6 months | Intervention | -2.9, 95% CI -5.3; -0.4, p=.02 | ||
| Percent with CES-D in severe range ≥ 24 | 6 months | Intervention | OR 0.6, 95% CI 0.4, 0.9, p=.02 | |||
| Intermediate II Level (Anxiety) | ||||||
| CCAP9 | Anxiety sensitivity index score | 3 months | Intervention | Effect size 0.44 | ||
| 6 months | Intervention | Effect size 0.45 | ||||
| 9 months | Intervention | Effect size 0.44 | ||||
| 12 months | Intervention | Effect size 0.43 | ||||
| CES-D | 3 months | Intervention | Effect size 0.29 | |||
| 6 months | Intervention | Effect size 0.29 | ||||
| 9 months | Intervention | Effect size 0.27 | ||||
| 12 months | Intervention | Effect size 0.26 | ||||
| Intermediate II Level (Other Disorders) | ||||||
| Epstein, 2007112 | Conners Parent Rating Scale | 12 months | NS | |||
| Low Level (Depression) | ||||||
| Tutty, 200089 | SCL-20 | 3 months | Intervention | P=.03 | ||
| 6 months | Intervention | P=.03 | ||||
| Hunkeler, 2000110 (reporting telehealth nurse only, not peer support) | Hamilton depression rating score | 6 weeks | NS | |||
| 6 months | Intervention | P=.006 | ||||
| Beck depression rating score | 6 weeks | NS | ||||
| 6 months | NS | |||||
| RESPECT-D120 | SCL-20 | 3 months | Intervention | -0.16, 95% CI -0.32; -0.002, p=.048 | ||
| 6 months | Intervention | -0.20, 95% CI -0.39 -0.014, p=.036 | ||||
| Adler, 2004106 | Modified Beck depression inventory | 3 months | NS | |||
| 6 months | NS | |||||
| Partners in Care122,123 | Percent with probable depression based on CIDI screen | QI-Meds | 6 months | Intervention | P<.05 | Time trends: Percent of usual care with probable depression dropped from 6 to 24 months while QI-Meds climbed. QI-Therapy remained relatively flat. QI-Meds significantly higher than QI-Therapy at 24 months. |
| 12 months | Intervention | P<.05 | ||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| Overall poor outcome: patient scored depressed if score in depressed range of all 3 CIDI screen, full 12-month CIDI, and CES-D, vs. 2 or fewer measures. | QI-Meds | 6 months | NS | |||
| 12 months | NS | |||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| QuEST124 | Modified CES-D | Patients beginning new treatment episode | 6 months | Intervention | Effect size = 0.43 | |
| Patients recently treated | 6 months | NS | ||||
| Patients beginning new treatment episode, who find antidepressants acceptable | 6 months | Intervention | Effect size = 0.83 | This patient group also showed improvement in physical functioning, SF12 PCS, and satisfaction with care | ||
| Simon, 200099 | SCL-20 | Care management arm | 6 months | Intervention | P=.008 | |
| Katzelnick, 2000100 | Hamilton depression score | 3 months | Intervention | P=.04 | Significant group × time as well | |
| 6 months | Intervention | P<.001 | ||||
| 12 months | Intervention | P=.005 | ||||
| Low Level (Anxiety) | ||||||
| Rollman, 2005101 | PDSS Panic Disorder Severity Scale | All patients | 12 months | Intervention | 0.33, 95% CI 0.04; 0.62, p=.02 | Intervention × time |
| Panic disorder | 12 months | Intervention | 0.57, 95% CI 0.18; 0.96, p=.003 | Intervention × time | ||
| SIGH-A Hamilton anxiety rating scale | All patients | 12 months | Intervention | 0.38, 95% CI 0.09; 0.67, p=.03 | Intervention × time, | |
| General anxiety disorder | 12 months | NS | ||||
| Hamilton depression rating scale | All patients | 12 months | Intervention | 0.57, 95% CI 0.25; 0.46, p=.03 | Intervention × time | |
| TREATMENT RESPONSE | ||||||
| High Level (Depression) | ||||||
| Hedrick, 200387 | Percent with 50% improvement in SCL-20 | 3 months | NS | |||
| 9 months | NS | |||||
| Intermediate I Level (Depression) | ||||||
| Grypma, 200693 | Percent with 50% improvement in PHQ-9 | All depression patients | 6 months | NS | IMPACT intervention group compared to post-study integrated care group | |
| Patients over 60 years | 6 months | NS | ||||
| IMPACT2,179 | Percent with 50% improvement in SCL-20 | 3 months | Intervention | 2.73, 95% CI 2.10; 3.54, p<.001 | ||
| 6 months | Intervention | 2.21, 95% CI 1.76; 2.76, p<.001 | ||||
| 12 months | Intervention | 26.85, 95% CI 22.34; 31.35, p<.0001 | ||||
| 18 months | Intervention | 16.99, 95% CI 12.34; 21.64, p<.0001 | ||||
| 24 months | Intervention | 10.87, 95% CI 6.16; 15.57, p<.0001 | ||||
| Pathways113 | Percent with 50% improvement in SCL-90 | 6 months | NS | |||
| 12 months | NS | |||||
| Katon, 199688 | Percent with 50% improvement in SCL-20 | Major depression | 4 months | Intervention | P=.002 | Group × time trend |
| 7 months | Intervention | P=.04 | Group × time trend | |||
| Minor depression | 4 months | NS | ||||
| 7 months | NS | |||||
| Intermediate I Level (Anxiety) | ||||||
| Roy-Byrne, 2001109 | 40% reduction in PDSS | 3 months | NS | |||
| 6 months | Intervention | P=.001 | ||||
| 9 months | NS | |||||
| 12 months | Intervention | P=.048 | ||||
| Intermediate II Level (Depression) | ||||||
| Simon, 200484 | Percent with 50% improvement in SCL-20 | Telephone care management | 6 months | Intervention | NS | Usual care as comparison |
| Telephone psychotherapy plus care management | 6 months | Intervention | NNT=6.4 | Usual care as comparison | ||
| Finley, 2003108 | Percent with 50% improvement in brief inventory for depressive symptoms | 6 months | NS | |||
| Low Level (Depression) | ||||||
| Tutty, 200089 | Percent with 50% improvement in SCL-20 | 3 months | NS | |||
| 6 months | NS | |||||
| Hunkeler, 2000110 (reporting telehealth nurse only, not peer support) | Percent with 50% improvement in Hamilton depression rating score | 6 weeks | Intervention | P=.01 | ||
| 6 months | Intervention | P=.003 | ||||
| Fortney, 200692 | Percent with 50% improvement in SCL-20 | 6 months | Intervention | NNT=11 | ||
| 12 months | Intervention | NS | ||||
| PROSPECT125,127 | Percent with 50% improvement in HRSD | All patients | 4 months | OR 2.7, 95% CI 1.5; 4.9, p=.001 | At 8 months, patients taking medication only showed more improvement than patients with IPT only, P=.02 | |
| 8 months | OR 2.1, 95% CI 1.1; 3.8, p=.02 | |||||
| 12 months | OR 2.0, 95% CI 1.1; 3.8 P=.02 | |||||
| Major depression | 4 months | OR 3.9, 95% CI 1.8; 8.5, p<.001 | ||||
| 8 months | OR 3.0, 95% CI 1.4; 6.4 P=.006 | |||||
| 12 months | NS | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| RESPECT-D120 | Percent with 50% improvement in SCL-20 | 3 months | Intervention | OR 2.2, 95% CI 1.4; 3.4, p=.001 | ||
| 6 months | Intervention | OR 1.7, 95% CI 1.1; 2.7, p=.021 | ||||
| Datto, 200397 | Percent with 50% improvement in CES-D | 16 weeks | NS | |||
| Percent with 50% improvement in Beck depression rating score | 6 weeks | NS | ||||
| 6 months | P=.05 | |||||
| Simon, 200099 | Percent with 50% improvement in SCL-20 | Care management arm | 6 months | Intervention | OR 2.22, 95% CI 1.31; 3.75 | |
| Katzelnick, 2000100 | Percent with 50% improvement in Hamilton depression score | 12 months | Intervention | P<.001 | 53.2% compared to 32.8% | |
| Low Level (Anxiety) | ||||||
| Rollman, 2005101 | 40% reduction in SIGH-A | All patients | 12 months | Intervention | 30.8, 95% CI 17.0; 44.7, p<.001 | |
| General anxiety disorder | 12 months | NS | ||||
| 40% reduction in PDSS | All patients | 12 months | Intervention | 20.7, 95% CI 9.7; 31.5, p<.001 | ||
| Panic disorder | 12 months | Intervention | 32.2, 95% CI 15.5; 48.9, p<.001 | |||
| 40% reduction in Hamilton depression rating | All patients | 12 months | Intervention | 28.5, CI 15 to 42.6, p<.001 | ||
| REMISSION | ||||||
| High Level (Depression) | ||||||
| Katon, 1999103 | Percent with SCID ≤ 1 | 3 months | Intervention | P=.01 | ||
| 6 months | Intervention | P=.05 | ||||
| Hedrick, 200387 | Percent with SCL-20 ≥1.75 | 3 months | NS | Collaborative care patients with baseline scores above 1.75 were significantly less likely to be above 1.75 at 3 months. | ||
| High Level (Anxiety) | ||||||
| Roy-Byrne, 2001109 | Anxiety sensitivity score <20 | 3 months | Intervention | P=.004 | ||
| 6 months | Intervention | P=.004 | ||||
| 9 months | NS | |||||
| 12 months | Intervention | P=.005 | ||||
| Intermediate I Level (Depression) | ||||||
| IMPACT2,121 | Percent with SCL-20 <0.5 | 3 months | Intervention | 3.63, 95% CI 2.46; 5.38, p<.001 | ||
| 6 months | Intervention | 2.16, 95% CI 1.69; 2.76, p<.001 | ||||
| 12 months | Intervention | 17.48, 95% CI 13.78; 21.18, p<.0001 | ||||
| 18 months | Intervention | 9.31, 95% CI 5.77; 12.85, p<.0001 | ||||
| 24 months | Intervention | 5.65, 95% CI 2.12; 9.17, p=.0018 | ||||
| Percent with SCID ≤1 | 6 months | Intervention | OR 0.50, 95% CI 0.40; 0.62, P<.001 | |||
| Intermediate I Level (Anxiety) | ||||||
| Price, 200091 | Shedler quick diagnostics panel <10 (anxiety) | 6 months | Intervention | P=.025 | 55.6% intervention vs. 22.8% control achieved remission | |
| Intermediate II Level (Depression) | ||||||
| Boudreau, 2002175 | Percent with major depression as measured with SCID | 12 months | NS | |||
| Finley, 2003108 | Percent with brief inventory for depressive symptoms <9 | 6 months | NS | |||
| Intermediate II Level (Anxiety) | ||||||
| CCAP9 | Anxiety sensitivity score <20 | 3 months | Intervention | Effect size 0.40 | ||
| 6 months | Intervention | Effect size 0.48 | ||||
| 9 months | Intervention | Effect size 0.47 | ||||
| 12 months | Intervention | Effect size 0.51 | ||||
| High end-state functioning | 3 months | Intervention | Effect size 0.23 | |||
| 6 months | Intervention | Effect size 0.29 | ||||
| 9 months | Intervention | Effect size 0.32 | ||||
| 12 months | Intervention | Effect size 0.34 | ||||
| Low Level (Depression) | ||||||
| Tutty, 2000)89 | Percent with SCID ≤1 | 3 months | NS | |||
| 6 months | NS | |||||
| Partners in Care122 | Percent with modified CES-D < 20 | 6 months | All interventions | P=.005 | ||
| 12 months | All interventions | P=.04 | ||||
| Percent without clinical diagnosis, based on full 12-month CIDI | 2 years | QI-Therapy, vs. QI-Meds | P=.04 | |||
| Fortney, 200692 | Percent with SCL-20 <0.5 | 6 months | Intervention | NS | ||
| 12 months | Intervention | NNT=11 | ||||
| PROSPECT125,127 | Percent with HRSD <10 | All patients | 4 months | OR 3.7, 95% CI 1.7; 7.7, p=<.001 | Treatment × time p<.01 for medication only, vs. IPT only | |
| 8 months | NS | |||||
| 12 months | NS | |||||
| Major depression | 4 months | OR 6.7, 95% CI 2.5; 17.9, p<.001 | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| Percent with HRSD <7 | All patients | 4 months | OR 2.0, CI 1.0 to 3.8, p=.04 | |||
| 8 months | OR 2.1, CI 1.1 to 4.2, p=.02 | |||||
| 12 months | NS | |||||
| Major depression | 4 months | OR 3.6, 95% CI 1.4; 9.4, p=.007 | ||||
| 8 months | OR 3.2, 95% CI 1.3; 7.9, p=.01 | |||||
| 12 months | NS | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| RESPECT-D120 | Percent with SCL-20 <0.5 | 3 months | Intervention | OR 2.1, 95% CI 1.2; 3.7, p=.018 | ||
| 6 months | Intervention | OR 1.9, 95% CI 1.2; 3.3, p=.014 | ||||
| Datto, 200397 | Percent below CES-D=16 (low level symptoms) | 16 weeks | Intervention | OR 6.58, 95% CI 1.57; 27.03, p=.01 | ||
| Percent below CES-D=11 | 16 weeks | NS | ||||
| 9 months | NS | |||||
| QuEST5 | Percent below CES-D=16 | 24 months | Intervention | P<.02 | Treatment × time | |
| Katzelnick, 2000100 | Percent below Hamilton depression score<7 | 12 months | Intervention | P<.001 | 27.7% compared to 12.8% | |
| MEDICAL | ||||||
| Intermediate Level I (Depression) | ||||||
| IMPACT128,129 | Arthritis pain intensity | 3 months | Intervention | -0.58, 95% CI -0.9; -0.25, p<.001 | ||
| 6 months | NS | |||||
| 12 months | Intervention | -0.53, 95% CI-0.92; -0.14, p=.009 | ||||
| Arthritis interferes with daily activities | 3 months | Intervention | -0.67, 95% CI -1.06; -0.27, p=.001 | |||
| 6 months | Intervention | -0.56, 95% CI-0.96; -0.16, p=.006 | ||||
| 12 months | Intervention | -0.59, CI -1 to -0.19, p=.004 | ||||
| Arthritis pain interferes with daily activities | 3 months | Intervention | -0.24, 95% CI -0.39; -0.09, p=.002 | |||
| 6 months | Intervention | -0.22, 95% CI-0.36; -0.09, p=.005 | ||||
| 12 months | Intervention | -0.26, 95% CI -0.41; -0.10, p=.002 | ||||
| Graded chronic pain scale for arthritis pain severity | 12 months | Intervention | Beta 0.15 (SE 0.06), p=.026 | Interaction: intervention × pain severity | ||
| 12 months | NS | Interaction: intervention × pain activity interference | ||||
| Graded chronic pain scale for arthritis pain activity interference | 12 months | Intervention | Beta 0.14 (SE 0.07), p=.04 | Interaction: intervention × pain severity | ||
| 12 months | Beta 0.13 (SE 35), p=.015 | Interaction: intervention × pain activity interference | ||||
| Pathways113 | HbA1c level | 6 months | NS | |||
| 12 months | NS | |||||
| Outcome Project or Author | Measurement | Patient Category | Assessment Period | Direction of Effect | Effect Size | Comment |
|---|---|---|---|---|---|---|
| MENTAL ILLNESS SYMPTOMS (SEVERITY) | ||||||
| High Level (Depression) | ||||||
| Price, 200091 | Shedler Quick Psycho Diagnostics Panel (Anxiety) | 6 months | Intervention | P=.046 | ||
| Hedrick, 200387 | SCL-20 | 3 months | Intervention | -0.17, 95% CI -0.31; -0.03, p<.05 | Equalized amount of treatment between collaborative and consult-liaison models; attention control | |
| 9 months | NS | |||||
| IMPACT2,179 | SCL-20 | 3 months | Intervention | -0.28, 95% CI -0.34; -0.21, p<.001 | ||
| 6 months | Intervention | -0.28, 95% CI -0.35; -0.19, p<.001 | ||||
| 12 months | Intervention | NNT=4 | ||||
| 18 months | Intervention | NNT=6 | ||||
| 24 months | Intervention | NNT=9 | ||||
| Grypma, 200693 | PHQ-9 score | All depression patients | 6 months | NS | IMPACT intervention group compared to post-study integrated care group | |
| Patients over 60 years | 6 months | NS | ||||
| Pathways113 | SCL-20 | 6 months | Intervention | OR 3.5, 95% CI 2.16; 5.68 | ||
| 12 months | Intervention | OR 3.5, 95% CI 2.14; 5.72 | ||||
| Clarke, 200583 | CES-D | 12 months | NS | Study may have been under-powered to compare 2 active treatments. About 75% remission in both groups within 3 months. | ||
| Hamilton Depression Rating Scale | 12 months | NS | ||||
| Youth Self Report | 12 months | NS | ||||
| Katon, 200198 | SCL-20 | 12 months | NS | |||
| Asarnow, 2005114 | CES-D | 6 months | Intervention | -2.9, 95% CI -5.3; -0.4, p=.02 | ||
| Percent with CES-D in severe range ≥24 | 6 months | Intervention | OR 0.6, 95% CI 0.4, 0.9, p=.02 | |||
| High Level (Anxiety) | ||||||
| Price, 200091 | Shedler Quick Psycho Diagnostics Panel (Anxiety) | 6 months | Intervention | P=.046 | ||
| CCAP9 | Anxiety sensitivity index score | 3 months | Intervention | Effect size 0.44 | ||
| 6 months | Intervention | Effect size 0.45 | ||||
| 9 months | Intervention | Effect size 0.44 | ||||
| 12 months | Intervention | Effect size 0.43 | ||||
| CES-D | 3 months | Intervention | Effect size 0.29 | |||
| 6 months | Intervention | Effect size 0.29 | ||||
| 9 months | Intervention | Effect size 0.27 | ||||
| 12 months | Intervention | Effect size 0.26 | ||||
| Rollman, 2005101 | PDSS Panic disorder severity scale | All patients | 12 months | Intervention | 0.33, 95% CI; 04 to 0.62, p=.02 | Intervention × time |
| Panic disorder | 12 months | Intervention | 0.57, 95% CI 0.18; 0.96, p=.003 | Intervention × time | ||
| *SIGH-A Hamilton anxiety rating scale | All patients | 12 months | Intervention | 0.38, 95% CI 0.09; 0.67, p=.03 | Intervention × time | |
| General anxiety disorder | 12 months | NS | ||||
| Hamilton depression rating scale | All patients | 12 months | Intervention | 0.57, 95% CI 0.25; 0.46, p=.03 | Intervention × time | |
| Intermediate Level (Depression) | ||||||
| Swindle, 200385 | Beck depression inventory | All patients | 3 months | NS | No difference in outcomes for major depression or dysthymia. Several CNS were not voluntary, did not follow protocol, etc. | |
| 12 months | NS | |||||
| Major depression | 3 months | NS | ||||
| 12 months | NS | |||||
| Simon, 200484 | SCL-20 | Telephone psychotherapy plus care management | 6 months | Intervention | P<.001 | Difference between groups is equal to ½ of the SD of scores in general population |
| Telephone care management | 6 months | Intervention | NS | |||
| 9 months post-treatment | NS | |||||
| Boudreau, 2002175 | SCL-20 | 12 months | NS | |||
| PROSPECT125 | Hamilton Depression Rating Scale | All patients | 4 months | -3.5, 95% CI -4.7; -2.4, p<.001 | ||
| 8 months | -2.1, 95% CI -3.4; -0.9, p<.001 | |||||
| 12 months | -1.8, 95% CI -3.1; -0.5, p=.006 | |||||
| Major depression | 4 months | -4.6, 95% CI -6.2; -3.1, p<.001 | ||||
| 8 months | -2.5, 95% CI -4.1; -0.9, p.003 | |||||
| 12 months | -2.1, 95% CI -3.7; -0.4, p=.02 | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| Tutty, 200089 | SCL-20 | 3 months | Intervention | P=.03 | ||
| 6 months | Intervention | P=.03 | ||||
| RESPECT-D120 | SCL-20 | 3 months | Intervention | -0.16, 95% CI -0.32; -0.002, p=.048 | ||
| 6 months | Intervention | -0.20, CI -0.39 to -0.014, p=.036 | ||||
| Adler, 2004106 | Modified Beck depression inventory | 3 months | NS | |||
| 6 months | NS | |||||
| Partners in Care122,123 | Percent with probable depression based on CIDI screen | QI-Meds | 6 months | Intervention | P<.05 | Time trends: Percent of usual care with probable depression dropped from 6 to 24 months while QI-Meds climbed. QI therapy remained relatively flat. QI meds significantly higher than QI therapy at 24 months. |
| 12 months | Intervention | P<.05 | ||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| Overall poor outcome: patient scored depressed if score in depressed range of all 3 CIDI screen, full 12-month CIDI, and CES-D, vs. 2 or fewer measures. | QI-Meds | 6 months | NS | |||
| 12 months | NS | |||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| QuEST124 | Modified CES-D | Patients beginning new treatment episode | 6 months | Intervention | Effect size = 0.43 | |
| Patients recently treated | 6 months | NS | ||||
| Patients beginning new treatment episode, who find antidepressants acceptable | 6 months | Intervention | Effect size = 0.83 | This patient group also showed improvement in physical functioning, SF12 PCS, and satisfaction with care | ||
| Simon, 200099 | SCL-20 | Care management arm | 6 months | Intervention | P=.008 | |
| Katzelnick, 2000100 | Hamilton depression score | 3 months | Intervention | P=.04 | Significant group × time as well | |
| 6 months | Intervention | P<.001 | ||||
| 12 months | Intervention | P=.005 | ||||
| Intermediate Level (Anxiety) | ||||||
| Roy-Byrne, 2001109 | PDSS Panic disorder severity scale | 3 months | NS | Intervention × time p=.05, driven by reduction in anticipatory anxiety | ||
| 6 months | Intervention | P=.003 | ||||
| 9 months | NS | |||||
| 12 months | NS | |||||
| Anxiety sensitivity scale | 3 months | Intervention | P=.002 | Intervention × time p=.018 | ||
| 6 months | Intervention | P<.001 | ||||
| 9 months | NS | |||||
| 12 months | Intervention | P=.035 | ||||
| Panic related agoraphobic avoidance | 12 months | NS | ||||
| Fear Questionnaire agoraphobic subscale | 12 months | NS | ||||
| CES-D | 3 months | Intervention | P=.002 | Intervention × time p=.03 | ||
| 6 months | Intervention | P=.005 | ||||
| 9 months | Intervention | P=.036 | ||||
| 12 months | Intervention | P=.02 | ||||
| Low Level (Depression) | ||||||
| Finley, 2003108 | Brief inventory for depressive symptoms | 6 months | NS | |||
| Katon, 19993,103 | SCL-20 | All patients | 3 months | Intervention | P=.003 | |
| 6 months | Intervention | P=.04 | Treatment × time | |||
| All patients | 28 months | Intervention | P=.05 | Treatment × time | ||
| Moderate severity | 28 months | Intervention | P=.004 | Treatment × time | ||
| High severity | 28 months | NS | ||||
| Lin, 19994 (followup of Katon, 1995 and Katon, 1996) | SCL-20 | 19 months | NS | |||
| Inventory for depressive symptomatology | 19 months | NS | ||||
| Partners in Care122,123 | Percent with probable depression based on CIDI screen | All interventions | 6 months | Any intervention | P=.001 | |
| 12 months | Any intervention | P=.005 | ||||
| QI-Therapy | 6 months | Intervention | P<.05 | |||
| 12 months | Intervention | P<.05 | ||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| Overall poor outcome: patient scored depressed if score in depressed range of all 3 CIDI screen, full 12-month CIDI, and CES-D, vs. 2 or fewer measures. | QI-Therapy | 6 months | Intervention | P<.05 | ||
| 12 months | Intervention | P<.05 | ||||
| 18 months | Intervention, usual care and QI-Meds | P<.05 | ||||
| 24 months | Intervention, QI-Meds | P<.05 | ||||
| Hunkeler, 2000110(reporting telehealth nurse only, not peer support) | Hamilton depression rating score | 6 weeks | NS | |||
| 6 months | Intervention | P=.006 | ||||
| Beck depression rating score | 6 weeks | NS | ||||
| 6 months | NS | |||||
| Low Level (Other Disorders) | ||||||
| Katon, 1992107 | SCL somatization | 6 months | NS | |||
| 12 months | NS | |||||
| SCL depression | 6 months | NS | ||||
| 12 months | NS | |||||
| SCL anxiety | 6 months | NS | ||||
| 12 months | NS | |||||
| TREATMENT RESPONSE | ||||||
| High Level(Depression) | ||||||
| Hedrick, 200387 | Percent with 50% improvement in SCL-20 | 3 months | NS | |||
| 9 months | NS | |||||
| IMPACT2,179 | Percent with 50% improvement in SCL-20 | 3 months | Intervention | 2.73, 95% CI 2.10; 3.54, p<.001 | ||
| 6 months | Intervention | 2.21, 95% CI 1.76; 2.76, p<.001 | ||||
| 12 months | Intervention | 26.85, 95% CI 22.34; 31.35, p<.0001 | ||||
| 18 months | Intervention | 16.99, 95% CI 12.34; 21.64, p<.0001 | ||||
| 24 months | Intervention | 10.87, 95% CI 6.16; 15.57, p<.0001 | ||||
| Fortney, 200692 | Percent with 50% improvement in SCL-20 | 6 months | Intervention | NNT=11 | ||
| 12 months | Intervention | NS | ||||
| Pathways113 | Percent with 50% improvement in SCL-90 | 6 months | NS | |||
| 12 months | NS | |||||
| Grypma, 200693 | Percent with 50% improvement in PHQ-9 | All depression patients | 6 months | NS | IMPACT intervention group compared to post-study integrated care group. | |
| Patients over 60 years | 6 months | NS | ||||
| PROSPECT125,127 | Percent with 50% improvement in HRSD | All patients | 4 months | OR 2.7, 95% CI 1.5; 4.9, p=.001 | At 8 months, patients taking medication only showed more improvement than patients with IPT only, P=.02 | |
| 8 months | OR 2.1, 95% CI 1.1; 3.8, p=.02 | |||||
| 12 months | OR 2.0, 95% CI 1.1; 3.8P=.02 | |||||
| Major depression | 4 months | OR 3.9, 95% CI 1.8; 8.5, p<.001 | ||||
| 8 months | OR 3.0, 95% CI 1.4; 6.4P=.006 | |||||
| 12 months | NS | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| Katon, 199688 | Percent with 50% improvement in SCL-20 | Major depression | 4 months | Intervention | P=.002 | Group × time trend |
| 7 months | Intervention | P=.04 | Group × time trend | |||
| Minor depression | 4 months | NS | ||||
| 7 months | NS | |||||
| High Level (Anxiety) | ||||||
| Rollman, 2005101 | 40% reduction in SIGH-A | All patients | 12 months | Intervention | 30.8, 95% CI 17.0; 44.7, p<.001 | |
| General anxiety disorder | 12 months | NS | ||||
| 40% reduction in PDSS | All patients | 12 months | Intervention | 20.7, 95% CI 9.7; 31.5, p<.001 | ||
| Panic disorder | 12 months | Intervention | 32.2, 95% CI 15.5; 48.9, p<.001 | |||
| 40% reduction in Hamilton depression rating | All patients | 12 months | Intervention | 28.5, 95% CI 15; 42.6, p<.001 | ||
| Intermediate Level (Depression) | ||||||
| Simon, 200484 | Percent with 50% improvement in SCL-20 | Telephone care management | 6 months | Intervention | NS | Usual care as comparison |
| Telephone psychotherapy plus care management | 6 months | Intervention | NNT=6.4 | Usual care as comparison | ||
| Tutty, 200089 | Percent with 50% improvement in SCL-20 | 3 months | NS | |||
| 6 months | NS | |||||
| RESPECT-D120 | Percent with 50% improvement in SCL-20 | 3 months | Intervention | OR 2.2, 95% CI 1.4; 3.4, p=.001 | ||
| 6 months | Intervention | OR 1.7, 95% CI 1.1; 2.7, p=.021 | ||||
| Finley, 2003108 | Percent with 50% improvement in brief inventory for depressive symptoms | 6 months | NS | |||
| Datto, 200397 | Percent with 50% improvement in CES-D | 16 weeks | NS | |||
| Percent with 50% improvement in Beck depression rating score | 6 weeks | NS | ||||
| 6 months | P=.05 | |||||
| Simon, 200099 | Percent with 50% improvement in SCL-20 | Care management arm | 6 months | Intervention | OR 2.22, 95% CI 1.31; 3.75 | |
| Katzelnick, 2000100 | Percent with 50% improvement in Hamilton depression score | 12 months | Intervention | P<.001 | 53.2% compared to 32.8% | |
| Intermediate Level (Anxiety) | ||||||
| Roy-Byrne, 2001109 | 40% reduction in PDSS | 3 months | NS | |||
| 6 months | Intervention | P=.001 | ||||
| 9 months | NS | |||||
| 12 months | Intervention | P=.048 | ||||
| Low Level (Depression) | ||||||
| Hunkeler, 2000110 (reporting telehealth nurse only, not peer support) | Percent with 50% improvement in Hamilton depression rating score | 6 weeks | Intervention | P=.01 | ||
| 6 months | Intervention | P=.003 | ||||
| REMISSION | ||||||
| High Level (Depression) | ||||||
| Katon, 1999103 | Percent with SCID ≤1 | 3 months | Intervention | P=.01 | ||
| 6 months | Intervention | P=.05 | ||||
| Hedrick, 200387 | Percent with SCL-20 ≥1.75 | 3 months | NS | Collaborative care patients with baseline scores above 1.75 were significantly less likely to be above 1.75 at 3 months. | ||
| Fortney, 200692 | Percent with SCL-20 <0.5 | 6 months | NS | |||
| 12 months | Intervention | NNT=11 | ||||
| IMPACT2,121 | Percent with SCL-20 <0.5 | 3 months | Intervention | 3.63, 95% CI 2.46; 5.38, p<.001 | ||
| 6 months | Intervention | 2.16, 95% CI 1.69; 2.76, p<.001 | ||||
| 12 months | Intervention | 17.48, 95% CI 13.78; 21.18, p<.0001 | ||||
| 18 months | Intervention | 9.31, 95% CI 5.77; 12.85, p<.0001 | ||||
| 24 months | Intervention | 5.65, 95% CI 2.12; 9.17, p=.0018 | ||||
| Percent with SCID ≤1 | 6 months | Intervention | OR 0.50, 95% CI 0.40; 0.62, P<.001 | |||
| PROSPECT125,127 | Percent with HRSD <10 | All patients | 4 months | Intervention | OR 3.7, 95% CI 1.7; 7.7, p=<.001 | Treatment × time p<.01 for medication only, vs. IPT only |
| 8 months | NS | |||||
| 12 months | NS | |||||
| Major depression | 4 months | Intervention | OR 6.7, 95% CI 2.5; 17.9, p<.001 | |||
| 8 months | NS | |||||
| 12 months | NS | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| Percent with HRSD <7 | All patients | 4 months | Intervention | OR 2.0, 95% CI 1.0; 3.8, p=.04 | ||
| 8 months | Intervention | OR 2.1, 95% CI 1.1; 4.2, p=.02 | ||||
| 12 months | NS | |||||
| Major depression | 4 months | Intervention | OR 3.6, 95% CI 1.4; 9.4, p=.007 | |||
| 8 months | Intervention | OR 3.2, 95% CI 1.3; 7.9, p=.01 | ||||
| 12 months | NS | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| High Level (Anxiety) | ||||||
| CCAP9 | Anxiety sensitivity score <20 | 3 months | Intervention | Effect size 0.40 | ||
| 6 months | Intervention | Effect size 0.48 | ||||
| 9 months | Intervention | Effect size 0.47 | ||||
| 12 months | Intervention | Effect size 0.51 | ||||
| High end-state functioning | 3 months | Intervention | Effect size 0.23 | |||
| 6 months | Intervention | Effect size 0.29 | ||||
| 9 months | Intervention | Effect size 0.32 | ||||
| 12 months | Intervention | Effect size 0.34 | ||||
| Price, 200091 | Shedler quick diagnostics panel <10 (anxiety) | 6 months | Intervention | P=.025 | 55.6% intervention vs. 22.8% control achieved remission | |
| Intermediate Level (Depression) | ||||||
| Boudreau, 2002175 | Percent with major depression as measured with SCID | 12 months | NS | |||
| Tutty, 200089 | Percent with SCID ≤1 | 3 months | NS | |||
| 6 months | NS | |||||
| Partners in Care122,123 | Percent with modified CES-D <20 | 6 months | All interventions | P=.005 | ||
| 12 months | All interventions | P=.04 | ||||
| Percent without clinical diagnosis, based on full 12-month CIDI | 2 years | QI-therapy vs. QI-meds | P=.04 | |||
| RESPECT-D120 | Percent with SCL-20 <0.5 | 3 months | Intervention | OR 2.1, 95% CI 1.2; 3.7, p=.018 | ||
| 6 months | Intervention | OR 1.9, 95% CI 1.2; 3.3, p=.014 | ||||
| Datto, 200397 | Percent below CES-D=16 (low level symptoms) | 16 weeks | Intervention | OR 6.58, CI 1.57 to 27.03, p=.01 | ||
| Percent below CES-D=11 | 16 weeks | NS | ||||
| 9 months | NS | |||||
| QuEST5 | Percent below CES-D=16 | 24 months | Intervention | P<.02 | Treatment × time | |
| Katzelnick, 2000100 | Percent below Hamilton depression score<7 | 12 months | Intervention | P<.001 | 27.7% compared to 12.8% | |
| Intermediate Level (Anxiety) | ||||||
| Roy-Byrne, 2001109 | Anxiety sensitivity score <20 | 3 months | Intervention | P=.004 | ||
| 6 months | Intervention | P=.004 | ||||
| 9 months | NS | |||||
| 12 months | Intervention | P=.005 | ||||
| Low Level (Depression) | ||||||
| Finley, 2003108 | Percent with brief inventory for depressive symptoms <9 | 6 months | NS | |||
| MEDICAL | ||||||
| High Level (Depression) | ||||||
| IMPACT128,129 | Arthritis pain intensity | 3 months | Intervention | -0.58, 95% CI -0.9; -0.25, p<.001 | ||
| 6 months | NS | |||||
| 12 months | Intervention | -0.53, 95% CI-0.92; -0.14, p=.009 | ||||
| Arthritis interferes with daily activities | 3 months | Intervention | -0.67, 95% CI -1.06; -0.27, p=.001 | |||
| 6 months | Intervention | -0.56, 95% CI -0.96; -0.16, p=.006 | ||||
| 12 months | Intervention | -0.59, 95% CI -1; -0.19, p=.004 | ||||
| Arthritis pain interferes with daily activities | 3 months | Intervention | -0.24, 95% CI -0.39; -0.09, p=.002 | |||
| 6 months | Intervention | -0.22, 95% CI -0.36; -0.09, p=.005 | ||||
| 12 months | Intervention | -0.26, 95% CI -0.41; -0.10, p=.002 | ||||
| Graded chronic pain scale for arthritis pain severity | 12 months | Intervention | Beta 0.15 (SE 0.06), p=.026 | Interaction: intervention × pain severity | ||
| 12 months | NS | Interaction: intervention × pain activity interference | ||||
| Graded chronic pain scale for arthritis pain activity interference | 12 months | Intervention | Beta 0.14 (SE 0.07), p=.04 | Interaction: intervention × pain severity | ||
| 12 months | Intervention | Beta 0.13 (SE 35), p=.015 | Interaction: intervention × pain activity interference | |||
| Pathways113 | HbA1c level | 6 months | NS | |||
| 12 months | NS | |||||
Research on the relative contribution of each element of the care process to improved outcomes is limited, which is why a simple additive approach was used in this analysis. We also performed a sensitivity analysis of the approach by combining expert estimations of relative weights of the components. All expert responses were treated with equal weight in the combined score. The resulting weighted scores did not materially affect the rankings of the trials. Given the low variability in use of supervision across the studies, using Bower et al's. meta-analysis of “active ingredients” in collaborative care (which included international studies with large patient samples) would have reduced the list of elements to merely the presence of screening, an approach deemed insufficient for this analysis.60
PRISM-E trial. The PRISM-E study82 was a multisite randomized comparative trial funded by an interagency collaboration including the Substance Abuse and Mental Health Services Administration (SAMHSA), the Veteran's Administration (VA), the Health Resources and Services Administration (HRSA), and the Center for Medicare and Medicaid Services (CMS). The trial examined two models of care for three common mental health concerns for the elderly; depression, anxiety, and at-risk drinking. To be eligible to participate in the integrated treatment model arm, clinics had to exhibit a number of features, including co-location of available mental health services provided by licensed mental health providers with formal communication linkages. To be eligible to participate in the enhanced referral model arm, clinics had to exhibit strong communication and monitoring linkages with, and ensure transportation to, available specialty mental health clinics. Both study arms are considered integrated care by this review's operational definitions, since they both involve linkages between primary care and mental health specialty providers. However, as mentioned above, the participating clinics did not have mandated standardized depression treatment algorithms or interventions other than the brief alcohol intervention.
| Outcome Project or Author | Measurement | Patient Category | Assessment Period | Direction of Effect | Results | Comment |
|---|---|---|---|---|---|---|
| DEPRESSION | ||||||
| Depression symptoms (severity) | ||||||
| PRISM-E118 | CES-D score | Major depression | 3 months | Enhanced referral | NS | Secondary analysis showed combination of talk therapy plus medication worked better in enhanced referral than integrated care model for patients with major depression. |
| 6 months | Enhanced referral | Mean 2.8, 95% CI 1.0; 4.5, p=.003 | ||||
| Other depression | 3 months | NS | ||||
| 6 months | NS | |||||
| All depression | 3 months | NS | ||||
| 6 months | NS | |||||
| Grypma, 200693 | PHQ-9 score | All depression patients | 6 months | NS | IMPACT intervention group compared to post-study integrated care group. | |
| Patients over 60 years | 6 months | NS | ||||
| IMPACT2,121 | SCL-20 | 3 months | Intervention | -0.28, 95% CI -0.34; -0.21, p<.001 | ||
| 6 months | Intervention | -0.28, 95% CI -0.35; -0.19, p<.001 | ||||
| 12 months | Intervention | NNT=4 | ||||
| 18 months | Intervention | NNT=6 | ||||
| 24 months | Intervention | NNT=9 | ||||
| Clarke, 2005180 | CES-D | 12 months | NS | Study may have been under-powered to compare 2 active treatments. About 75% remission in both groups within 3 months. | ||
| Hamilton Depression Rating Scale | 12 months | NS | ||||
| Youth Self Report | 12 months | NS | ||||
| Pathways113 | SCL-20 | 6 months | Intervention | OR 3.5, 95% CI 2.16; 5.68 | ||
| 12 months | Intervention | OR 3.5, 95% CI 2.14; 5.72 | ||||
| PROSPECT125 | Hamilton Depression Rating Scale | All patients | 4 months | -3.5, 95% CI -4.7; -2.4, p<.001 | ||
| 8 months | -2.1, 95% CI -3.4; -0.9, p<.001 | |||||
| 12 months | -1.8, 95% CI -3.1; -0.5, p=.006 | |||||
| Major depression | 4 months | -4.6, 95% CI -6.2; -3.1, p<.001 | ||||
| 8 months | -2.5, CI -4.1 to -0.9, p.003 | |||||
| 12 months | -2.1, 95% CI -3.7; -0.4, p=.02 | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| RESPECT-D120 | SCL-20 | 3 months | Intervention | -0.16, 95% CI -0.32; -0.002, p=.048 | ||
| 6 months | Intervention | -0.20, 95% CI -0.39; -0.014, p=.036 | ||||
| Simon, 200484 | SCL-20 | Telephone psychotherapy plus care management | 6 months | Intervention | P<.001 | Difference between groups is equal to ½ of the SD of scores in general population |
| Telephone care management | 6 months | Intervention | NS | |||
| Adler, 2004106 | Modified Beck depression inventory | 3 months | NS | |||
| 6 months | NS | |||||
| Finley, 2003108 | Brief inventory for depressive symptoms | 6 months | NS | |||
| Swindle, 200385 | Beck depression inventory | All patients | 3 months | NS | No difference in outcomes for major depression or dysthymia. | |
| 12 months | NS | |||||
| Major depression | 3 months | NS | ||||
| 12 months | NS | |||||
| Partners in Care6,122,123 | Percent with probable depression based on CIDI screen | All interventions | 6 months | Any intervention | P=.001 | |
| 12 months | Any intervention | P=.005 | ||||
| 5 years | Any intervention | 6.6, 95% CI 0.4; 12.8, p=.04 | ||||
| QI-Meds | 6 months | Intervention | P<.05 | Time trends: Percent of usual care with probable depression dropped from 6 to 24 months while QI-Meds climbed. QI-therapy remained relatively flat. QI-meds significantly higher than QI-therapy at 24 months. | ||
| 12 months | Intervention | P<.05 | ||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| 5 years | NS | |||||
| QI-Therapy | 6 months | Intervention | P<.05 | |||
| 12 months | Intervention | P<.05 | ||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| 5 years | Intervention | P=.05 | ||||
| Overall poor outcome: patient scored depressed if score in depressed range of all 3 CIDI screen, full 12-month CIDI, and CES-D, vs. 2 or fewer measures. | QI-Meds | 6 months | NS | |||
| 12 months | NS | |||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| QI-Therapy | 6 months | Intervention | P<.05 | |||
| 12 months | Intervention | P<.05 | ||||
| 18 months | Intervention, usual care and QI-meds | P<.05 | ||||
| 24 months | Intervention, QI-meds | P<.05 | ||||
| Hedrick 200387 | SCL-20 | 3 months | Intervention | -0.17, 95% CI -0.31; -0.03, p<.05 | Equalized amount of treatment between collaborative and consult-liaison models; attention control | |
| 9 months | NS | |||||
| Katon, 19993,103 | SCL-20 | All patients | 3 months | Intervention | P=.003 | |
| 6 months | Intervention | P=.04 | Treatment × time | |||
| All patients | 28 months | Intervention | P=.05 | Treatment × time | ||
| Moderate severity | 28 months | Intervention | P=.004 | Treatment × time | ||
| High severity | 28 months | NS | ||||
| Lin, 19994 (followup of Katon, 1995 and Katon, 1996) | SCL-20 | 19 months | NS | |||
| Inventory for depressive symptomatology | 19 months | NS | ||||
| Katon, 200198 | SCL-20 | 12 months | NS | |||
| Boudreau, 2002175 | SCL-20 | 12 months | NS | |||
| Tutty, 200089 | SCL-20 | 3 months | Intervention | P=.03 | ||
| 6 months | Intervention | P=.03 | ||||
| Hunkeler, 2000110 (reporting telehealth nurse only, not peer support) | Hamilton depression rating score | 6 weeks | NS | |||
| 6 months | Intervention | P=.006 | ||||
| Beck depression rating score | 6 weeks | NS | ||||
| 6 months | NS | |||||
| QuEST124 | Modified CES-D | Patients beginning new treatment episode | 6 months | Intervention | Effect size = 0.43 | |
| Patients recently treated | 6 months | NS | ||||
| Patients beginning new treatment episode, who find antidepressants acceptable | 6 months | Intervention | Effect size = 0.83 | This patient group also showed improvement in physical functioning, SF12 PCS, and satisfaction with care | ||
| Simon, 200099 | SCL-20 | Care management arm | 6 months | Intervention | P=.008 | |
| Katzelnick, 2000100 | Hamilton depression score | 3 months | Intervention | P=.04 | Significant group × time as well | |
| 6 months | Intervention | P<.001 | ||||
| 12 months | Intervention | P=.005 | ||||
| Asarnow, 2005114 | CES-D | 6 months | Intervention | -2.9, 95% CI -5.3; -0.4, p=.02 | ||
| Percent with CES-D in severe range ≥ 24 | 6 months | Intervention | OR 0.6, 95% CI 0.4, 0.9, p=.02 | |||
| Treatment response | ||||||
| Fortney, 2006131 | Percent with 50% improvement in SCL-20 | 6 months | Intervention | NNT=11 | ||
| 12 months | Intervention | NS | ||||
| Grypma, 200693 | Percent with 50% improvement in PHQ-9 | All depression patients | 6 months | NS | IMPACT intervention group compared to post-study integrated care group. | |
| Patients over 60 years | 6 months | NS | ||||
| IMPACT2,179 | Percent with 50% improvement in SCL-20 | 3 months | Intervention | 2.73, 95% CI 2.10; 3.54, p<.001 | ||
| 6 months | Intervention | 2.21, 95% CI 1.76; 2.76, p<.001 | ||||
| 12 months | Intervention | 26.85, 95% CI 22.34; 31.35, p<.0001 | ||||
| 18 months | Intervention | 16.99, 95% CI 12.34; 21.64, p<.0001 | ||||
| 24 months | Intervention | 10.87, 95% CI 6.16; 15.57, p<.0001 | ||||
| Pathways12 | Percent with 50% improvement in SCL-90 | 6 months | NS | |||
| 12 months | NS | |||||
| PROSPECT125,127 | Percent with 50% improvement in HRSD | All patients | 4 months | OR 2.7, 95% CI 1.5; 4.9, p=.001 | At 8 months, patients taking medication only showed more improvement than patients with IPT only, P=.02 | |
| 8 months | OR 2.1, 95% CI 1.1; 3.8, p=.02 | |||||
| 12 months | OR 2.0, 95% CI 1.1; 3.8 P=.02 | |||||
| Major depression | 4 months | OR 3.9, 95% CI 1.8; 8.5, p<.001 | ||||
| 8 months | OR 3.0, 95% CI 1.4; 6.4 P=.006 | |||||
| 12 months | NS | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| RESPECT-D120 | Percent with 50% improvement in SCL-20 | 3 months | Intervention | OR 2.2, 95% CI 1.4; 3.4, p=.001 | ||
| 6 months | Intervention | OR 1.7, 95% CI 1.1; 2.7, p=.021 | ||||
| Simon, 200484 | Percent with 50% improvement in SCL-20 | Telephone psychotherapy plus care management | 6 months | Intervention | NNT=6.4 | Usual care as comparison. |
| Telephone care management | 6 months | Intervention | NS | Usual care as comparison | ||
| Finley, 2003108 | Percent with 50% improvement in brief inventory for depressive symptoms | 6 months | NS | |||
| Datto, 200397 | Percent with 50% improvement in CES-D | 16 weeks | NS | |||
| Hedrick, 200387 | Percent with 50% improvement in SCL-20 | 3 months | NS | |||
| 9 months | NS | |||||
| Tutty, 200089 | Percent with 50% improvement in SCL-20 | 3 months | NS | |||
| 6 months | NS | |||||
| Katon, 1995102 | Percent with 50% improvement in SCL-20 | Minor depression | NS | |||
| Major depression | 7 months | Intervention | P<.005 | Post hoc analysis showed improvement accrued to patients who required a medication adjustment | ||
| Percent with 50% improvement in Inventory of depressive symptomatology (clinician rated) | Minor depression | NS | ||||
| Major depression | 7 months | Intervention | P<.02 | Post hoc analysis showed improvement accrued to patients who required a medication adjustment. | ||
| Katon, 199688 | Percent with 50% improvement in SCL-20 | Major depression | 4 months | Intervention | P=.002 | Group × time trend |
| 7 months | Intervention | P=.04 | Group × time trend | |||
| Minor depression | 4 months | NS | ||||
| 7 months | NS | |||||
| Hunkeler, 2000110 (reporting telehealth nurse only, not peer support) | Percent with 50% improvement in Hamilton depression rating score | 6 weeks | Intervention | P=.01 | ||
| 6 months | Intervention | P=.003 | ||||
| Percent with 50% improvement in Beck depression rating score | 6 weeks | NS | ||||
| 6 months | P=.05 | |||||
| Simon, 200099 | Percent with 50% improvement in SCL-20 | Care management arm | 6 months | Intervention | OR 2.22, 95% CI 1.31; 3.75 | |
| Katzelnick, 2000100 | Percent with 50% improvement in Hamilton depression score | 12 months | Intervention | P<.001 | 53.2% compared to 32.8% | |
| Remission | ||||||
| Fortney, 2006131 | Percent with SCL-20 <0.5 | 6 months | Intervention | NS | ||
| 12 months | Intervention | NNT=11 | ||||
| IMPACT2,121 | Percent with SCL-20 <0.5 | 3 months | Intervention | 3.63, 95% CI 2.46; 5.38, p<.001 | ||
| 6 months | Intervention | 2.16, 95% CI 1.69; 2.76, p<.001 | ||||
| 12 months | Intervention | 17.48, 95% CI 13.78; 21.18, p<.0001 | ||||
| 18 months | Intervention | 9.31, 95% CI 5.77; 12.85, p<.0001 | ||||
| 24 months | Intervention | 5.65, 95% CI 2.12; 9.17, p=.0018 | ||||
| Percent with SCID ≤1 | 6 months | Intervention | OR 0.50, 95% CI 0.40; 0.62, P<.001 | |||
| PROSPECT125,127 | Percent with HRSD <10 | All patients | 4 months | OR 3.7, 95% CI 1.7; 7.7, p=<.001 | Treatment × time p<.01 for medication only, vs. IPT only | |
| 8 months | NS | |||||
| 12 months | NS | |||||
| Major depression | 4 months | OR 6.7, 95% CI 2.5; 17.9, p<.001 | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| Percent with HRSD <7 | All patients | 4 months | OR 2.0, 95% CI 1.0; 3.8, p=.04 | |||
| 8 months | OR 2.1, 95% CI 1.1; 4.2, p=.02 | |||||
| 12 months | NS | |||||
| Major depression | 4 months | OR 3.6, 95% CI 1.4; 9.4, p=.007 | ||||
| 8 months | OR 3.2, 95% CI 1.3; 7.9, p=.01 | |||||
| 12 months | NS | |||||
| Clinically significant minor depression | 4 months | NS | ||||
| 8 months | NS | |||||
| 12 months | NS | |||||
| RESPECT-D120 | Percent with SCL-20 <0.5 | 3 months | Intervention | OR 2.1, 95% CI 1.2; 3.7, p=.018 | ||
| 6 months | Intervention | OR 1.9, 95% CI 1.2; 3.3, p=.014 | ||||
| Finley, 2003108 | Percent with brief inventory for depressive symptoms <9 | 6 months | NS | |||
| Partners in Care122,123 | Percent with modified CES-D <20 | 6 months | All interventions | P=.005 | ||
| 12 months | All interventions | P=.04 | ||||
| Percent without clinical diagnosis, based on full 12-month CIDI | 2 years | QI-therapy, vs. QI-meds | P=.04 | |||
| Datto, 200397 | Percent below CES-D=16 (low level symptoms) | 16 weeks | Intervention | OR 6.58, 95% CI 1.57; 27.03, p=.01 | ||
| Percent below CES-D=11 | 16 weeks | NS | ||||
| Hedrick, 200387 | Percent with SCL-20 ≥1.75 | 3 months | NS | Collaborative care patients with baseline scores above 1.75 were significantly less likely to be above 1.75 at 3 months. | ||
| 9 months | NS | |||||
| Boudreau, 2002175 | Percent with major depression as measured with SCID | 12 months | NS | |||
| Tutty, 200089 | Percent with SCID ≤1 | 3 months | NS | |||
| 6 months | NS | |||||
| Katon, 1999103 (4 sites, N=228) | Percent with SCID ≤1 | 3 months | Intervention | P=.01 | ||
| 6 months | Intervention | P=.05 | ||||
| QuEST)5 | Percent below CES-D=16 | 24 months | Intervention | P<.02 | Treatment × time | |
| Katzelnick, 2000100 | Percent below Hamilton depression score<7 | 12 months | Intervention | P<.001 | 27.7% compared to 12.8% | |
| Medical | ||||||
| IMPACT128,129 | Arthritis pain intensity | 3 months | Intervention | -0.58, 95% CI -0.9; -0.25, p<.001 | ||
| 6 months | NS | |||||
| 12 months | Intervention | -0.53, 95% CI-0.92; -0.14, p=.009 | ||||
| Arthritis interferes with daily activities | 3 months | Intervention | -0.67, 95% CI -1.06; -0.27, p=.001 | |||
| 6 months | Intervention | -0.56, 95% CI-0.96; -0.16, p=.006 | ||||
| 12 months | Intervention | -0.59, 95% CI -1; -0.19, p=.004 | ||||
| Arthritis pain interferes with daily activities | 3 months | Intervention | -0.24, 95% CI -0.39; -0.09, p=.002 | |||
| 6 months | Intervention | -0.22, 95% CI-0.36; -0.09, p=.005 | ||||
| 12 months | Intervention | -0.26, 95% CI -0.41; -0.10, p=.002 | ||||
| Graded chronic pain scale for arthritis pain severity | 12 months | Intervention | Beta 0.15 (SE 0.06), p=.026 | Interaction: intervention × pain severity | ||
| 12 months | NS | Interaction: intervention × pain activity interference | ||||
| Graded chronic pain scale for arthritis pain activity interference | 12 months | Intervention | Beta 0.14 (SE 0.07), p=.04 | Interaction: intervention × pain severity | ||
| 12 months | Beta 0.13 (SE 35), p=.015 | Interaction: intervention × pain activity interference | ||||
| Pathways113 | HbA1c level | 6 months | NS | |||
| 12 months | NS | |||||
| ANXIETY DISORDERS | ||||||
| Panic symptoms | ||||||
| Roy-Byrne, 2001109 | PDSS Panic disorder severity scale | 3 months | NS | Intervention × time p=.05, driven by reduction in anticipatory anxiety | ||
| 6 months | Intervention | P=.003 | ||||
| 9 months | NS | |||||
| 12 months | NS | |||||
| Rollman, 2005101 | PDSS Panic Disorder Severity Scale | All patients | 12 months | Intervention | 0.33, 95% CI 0.04; 0.62, p=.02 | Intervention × time |
| Panic disorder | 12 months | Intervention | 0.57, 95% CI 0.18; 0.96, p=.003 | Intervention × time | ||
| Anxiety symptoms | ||||||
| Roy-Byrne, 2001109 | Anxiety sensitivity scale | 3 months | Intervention | P=.002 | Intervention × time p=.018 | |
| 6 months | Intervention | P<.001 | ||||
| 9 months | NS | |||||
| 12 months | Intervention | P=.035 | ||||
| Panic related agoraphobic avoidance | 12 months | NS | ||||
| CCAP9 | Anxiety sensitivity index score | 3 months | Intervention | Effect size 0.44 | ||
| 6 months | Intervention | Effect size 0.45 | ||||
| 9 months | Intervention | Effect size 0.44 | ||||
| 12 months | Intervention | Effect size 0.43 | ||||
| Rollman, 2005101 | * SIGH-A Hamilton anxiety rating scale | All patients | 12 months | Intervention | 0.38, 95% CI 0.09; 0.67, p=.03 | Intervention × time, |
| General anxiety disorder | 12 months | NS | ||||
| Fear symptoms | ||||||
| Roy-Byrne, 2001109 | Fear questionnaire agoraphobic subscale | 12 months | NS | |||
| Depression symptoms | ||||||
| Roy-Byrne, 2001109 | Mean CES-D | 3 months | Intervention | P=.002 | Intervention × time p=.03 | |
| 6 months | Intervention | P=.005 | ||||
| 9 months | Intervention | P=.036 | ||||
| 12 months | Intervention | P=.02 | ||||
| CCAP9 | Mean CES-D | 3 months | Intervention | Effect size 0.29 | ||
| 6 months | Intervention | Effect size 0.29 | ||||
| 9 months | Intervention | Effect size 0.27 | ||||
| 12 months | Intervention | Effect size 0.26 | ||||
| Rollman, 2005101 | Hamilton depression rating scale | All patients | 12 months | Intervention | 0.57, 95% CI 0.25; 0.46, p=.03 | Intervention × time |
| Price, 200091 | Mean Shedler Quick Psycho Diagnostics Panel | 6 months | Intervention | P=.046 | ||
| Treatment response | ||||||
| Roy-Byrne, 2001109 | 40% reduction in PDSS | 3 months | NS | |||
| 6 months | Intervention | P=.001 | ||||
| 9 months | NS | |||||
| 12 months | Intervention | P=.048 | ||||
| Rollman, 2005101 | 40% reduction in SIGH-A | All patients | 12 months | Intervention | 30.8, 95% CI 17.0; 44.7, p<.001 | |
| General anxiety disorder | 12 months | NS | ||||
| 40% reduction in PDSS | All patients | 12 months | Intervention | 20.7, 95% CI 9.7; 31.5, p<.001 | ||
| Panic disorder | 12 months | Intervention | 32.2, 95% CI 15.5; 48.9, p<.001 | |||
| 40% reduction in Hamilton depression rating | All patients | 12 months | Intervention | 28.5, 95% CI 15; 42.6, p<.001 | ||
| Remission | ||||||
| Roy-Byrne, 2001109 | Anxiety sensitivity score <20 | 3 months | Intervention | P=.004 | ||
| 6 months | Intervention | P=.004 | ||||
| 9 months | NS | |||||
| 12 months | Intervention | P=.005 | ||||
| CCAP9 | Anxiety sensitivity score <20 | 3 months | Intervention | Effect size 0.40 | ||
| 6 months | Intervention | Effect size 0.48 | ||||
| 9 months | Intervention | Effect size 0.47 | ||||
| 12 months | Intervention | Effect size 0.51 | ||||
| High end-state functioning | 3 months | Intervention | Effect size 0.23 | |||
| 6 months | Intervention | Effect size 0.29 | ||||
| 9 months | Intervention | Effect size 0.32 | ||||
| 12 months | Intervention | Effect size 0.34 | ||||
| Price, 200091 | Shedler quick diagnostics panel <10 | 6 months | Intervention | P=.025 | 55.6% intervention vs. 22.8% control achieved remission | |
| OTHER DISORDERS | ||||||
| Somatization symptoms | ||||||
| Katon, 1992107 | Mean SCL somatization | 6 months | NS | |||
| 12 months | NS | |||||
| Depression symptoms | ||||||
| Katon, 1992107 | Mean SCL depression | 6 months | NS | |||
| 12 months | NS | |||||
| Anxiety symptoms | ||||||
| Katon, 1992107 | Mean SCL anxiety | 6 months | NS | |||
| 12 months | NS | |||||
| ADHD symptoms | ||||||
| Epstein, 2007112 | Conners Parent Rating Scale | 12 months | NS | |||
| Drinking severity | ||||||
| PRISM-E126 | Mean change in number of drinks per week | 6 months | NS | In total, 21% reduced drinking; 18% in integrated care, 23% in referral care | ||
| Mean change in number of binge episodes | 6 months | NS | ||||
The PRISM-E authors noted that the frequency of treatment response across all patient populations was closer to treatment-as-usual outcomes in other trials such as IMPACT and PROSPECT.118 Since treatment-as-usual in practice generally involves referral care, it appears that the PRISM-E trial results are consistent with the null finding that increased levels of integration do not demonstrate improved outcomes. The results of this effectiveness study using naturalistic settings highlights the importance of the need to understand what makes a good clinical process: adequate implementation, proper adaptive fit of an intervention to the clinical environment, and an intervention that positively impacts outcomes are all necessary for effectiveness to be achieved.
As seen in the results section for Key Question 1, while integration levels were not shown to be related to improved outcomes, the integration programs tested improved outcomes nonetheless. While the companion articles are not extensive, there are some subgroups of interest by which outcomes can be examined with a narrative format. The next three sections take a look at outcomes by illness category, patient age, and population differences by social factors, comorbidity, and individual differences
Illness categories. Depression disorder research has by far the most mature literature, with the largest body of evidence and a few trials reporting long-term results of more than 12 months,2–5 one of five years.6 Anxiety disorder research is still in the process of establishing baseline evidence of efficacy and has not yet taken the research to more naturalistic effectiveness studies, although the larger-scale CALM study7 currently in the field is moving in that direction. Other disorders minimally addressed in the literature include somatization, at-risk alcohol use, and ADHD. Limiting the review to programs in the United States has precluded use of the considerable somatization research available from several European nations, particularly Germany and Denmark.
Unfortunately, while there is some literature on using chronic care models for treating alcohol use disorders in primary care settings,119 very little is available for alcohol abuse behavioral programs, in part because studies often used larger substance abuse populations and did not report results separately for alcohol subgroups. Research on the efficacy of brief interventions or pharmaceutical treatments were not included in the review if the interventions examined a single treatment facet that might be incorporated into an integrated program, a scope limitation that was discussed in the methods section.
Effects of integrated care effects may not be immediately apparent in improvements in outcomes depression.110, 118 More commonly though, the results show a weakening effect over time, particularly within the first 6 to 12 months.2, 3, 87, 92, 103, 120–123, 125, 127 Anxiety disorder research demonstrates the same patterns.9, 101, 109
Effects for minor depression or clinically significant depression symptoms are not as clear as for major depression. Three trials that specifically examined outcomes by level of depression found improvements for patients with major depression but not minor depression.3, 88, 102, 103, 125 Trials for other mental health disorders did not address severity.
Only depression research has examined the possibility of improved medical condition outcomes as a result of integrated care. The research has documented improvements in arthritis pain128, 129 but not HbA1c levels for diabetic patients with depression.113
| Study, Project Name or Author | Program Costs per Patient | Cost Savings | Cost/Unit of Benefit | Interval | Other Costs, Comments, and Notes |
|---|---|---|---|---|---|
| Depression | |||||
| Unutzer, 2002121 IMPACT | Costs of intervention program $553 | N/A | 12 months | All care managers and team psychiatrists free of charge to patient | |
| Katon, 2005185 IMPACT | Average cost of the intervention program $591 Total outpatient cost $295 (95% CI -525; 1115) higher for intervention | N/A | Total incremental outpatient cost per depression-free day $2.76 (95% CI -4.95; 10.47) Cost per QALY $2,519–$5,037 | 24 months | Potential cost-offset in non-mental health related ambulatory care. 25% probability that the IMPACT intervention had lower costs and greater effectiveness. Best results for double depression. |
| Katon, 2002186 IMPACT diabetes subgroup (N=418) | Average cost of the intervention program $597 Total outpatient costs $25 (95% CI -1,638; 1572) higher for intervention; | Total cost savings $896 | Cost per QALY range $198–$397; Incremental outpatient cost per depression-free day 25 cents (-$14; $15) Incremental net benefit $1129 (692; 1572) | 24 months | Potential cost-offset in non-mental health related ambulatory care. Probability that the intervention improved outcomes and saved money was 67.3% |
| Unutzer, 2008187 IMPACT N=551 | Estimated total healthcare cost savings of $3,363 | 48 months | 87% probability that the intervention had lower healthcare costs. Figures from 2 participating HMOs. | ||
| Simon, 2007188 Pathways | Average cost of intervention program $545 plus $27 screening cost | Total cost savings $314 | Incremental outpatient costs per depression-free day -$5.2 (95% CI -17.6 to 7.2) | 24 months | Greatest benefit accrued to patients who had not previously used antidepressants |
| Liu, 2003189 Hedrick, 200387 | Average cost of intervention program $237 Total outpatient costs $519 | N/A | Incremental program cost per depression-free day $24 (95% CI -105; 148) Incremental outpatient cost per depression-free day $33 (95% CI -106; 232) | 9 months | |
| Simon, 2001190 Katon, 1999103 | Average incremental cost of depression treatment in the program $357 | N/A | Incremental program cost per depression-free day $21.44 (95% CI 7.56; 125.76) | 6 months | Over 28 months, nonsignificant trends in total depression costs and total outpatient costs; nonsignificant ambulatory costs between intervention and active control |
| VonKorff, 1998191 Katon, 1995102 | Average incremental cost of major depression treatment cost $487; minor depression treatment cost $641 | N/A | Incremental cost per successfully treated case major depression $1592, minor depression -$8190 (many successfully treated in usual care) | 12 months | Psychiatrist model Specialty MH services costs lower in collaborative care ($123) vs. usual care ($317) for major depression. No cost-offset noted for minor depression. |
| VonKorff, 1998191 Katon, 199688 | Average incremental cost of major depression treatment cost $264; minor depression treatment cost $520 | N/A | Incremental cost per successfully treated case major depression $940 minor depression $1567 | 12 months | Brief CBT model Specialty MH services costs lower in collaborative care ($123) vs. usual care ($317) for major depression. No cost-offset noted for minor depression. |
| Simon, 2002192 Katon, 200198 | Incremental cost for depression treatment $273 | Incremental outpatient cost effectiveness per depression-free day $14 (95% CI -35; 248) | 12 months | ||
| Simon, 2001193 Katzelnick, 2000100 | N/A | Incremental outpatient cost effectiveness per depression-free day $21.12 (95% CI 10.53; 37.61) Incremental total health care costs plus time in treatment per depression-free day $51.84 (95% CI 17.37; 108.47) | 12 months | Depression treatment in high utilizers was associated with improved clinical outcomes at higher health service costs | |
| Tutty, 200489 | Overall program cost per patient $153, $26 per session; | N/A | 6 months | ||
| Simon, 200099 | (Average incremental costs $22 feedback only, $83 for care management) | 6 months | |||
| Wells, 2000123 Partners in care | (Intervention and time costs for participation $30,000 to $72,000) | N/A | 12 months | QI-therapy, organizations reduced therapy co-pay to the level of a primary care visit co-pay, $0 to $10, instead of usual $20 to $30 | |
| Schoenbaum, 2001132 Partners in Care | Average health care costs increased $419 in QI-meds and $485 in QI-therapy | N/A | Costs per QALY range $15,331 to $36,467 for QI-meds and $9,478 to $21,478 for QI-therapy | 24 month | Patients also employed more days during the study period. |
| Rost, 2001124 QuEST | ($12 in administrative staff time to identify cases; $61 to deliver the intervention to each patient) | N/A | 6 months | $4,661 per enhanced care practice on administrative staff | |
| Pyne, 2003194 QuEST | Average incremental cost of program $634 | N/A | Incremental cost-effectiveness per QALY range $11,341 to $19,976 | 12 months | |
| Pyne, 2005195 QuEST N=200 | Incremental total cost for patients receptive to antidepressant medication $516, $474 for nonreceptive | N/A | Incremental cost effectiveness per QALY range $5,864 to $14,689 for patients receptive to antidepressants; negative for nonreceptive | 12 months | Receptive to both medication and counseling total cost $683. Receptive to either medication or counseling total cost $668. |
| Dickinson, 2005196 QuEST | Outpatient cost savings $980 for psychological complaint patients | 24 months | Outpatient cost increase $1378 for enhanced of physical complaints patients | ||
| Rost, 2005197 QuEST | Incremental health plan costs decreased $568. | Incremental cost effectiveness per QALY range $9,592 to $14,306 | 24 months | Health plan medication costs increased by $325 more than usual care; patient time and transportation costs increased $701 | |
| Oxman, 200296 RESPECT-D | Estimated $150 per patient (during acute phase.) | ||||
| Anxiety Disorder | |||||
| Katon, 2002134 CCAP | Total incremental out-patient costs $492 higher in intervention | Total ambulatory and in-patient cost $276 savings | Cost saving $4 per anxiety-free day. Cost per QALY range $14,158 to $24,776. Total incremental cost-effectiveness per anxiety-free day $8.40 (95% CI 2.80; 14.0) | 12 months | The combined CBT and pharmacotherapy intervention was associated with a robust clinical improvement compared to usual care, with a moderate increase in ambulatory costs |
| Katon, 2002133 Roy-Byrne, 2001109 | Total incremental cost of the intervention $205 | Total outpatient cost saving $325 | Incremental ambulatory cost-effectiveness per anxiety-free day -$4 (-$23 to $14) | 12 months | 0.70 probability the intervention is lower in costs with greater effectiveness |
Physical and mental quality of life measures were also examined by depression and anxiety studies. Most commonly used were the SF12 physical and mental component scales. However, far fewer studies employed these outcome measures. Of those that did, only IMPACT found positive improvements in the SF12-PCS due to integrated care,2, 130 and the anxiety trials were nonsignificant.9, 101 Mental quality of life faired only slightly better, with consistently, if infrequently, positive improvements associated with integrated care for depression83, 110, 122, 123, 131 and anxiety.9, 101
| Project Name or Author, Year | Pediatric | Adult | Geriatric |
|---|---|---|---|
| Depression Disorders | |||
| Fortney, 200692 | X | ||
| Grypma, 200693 | X | ||
| IMPACT2,94,121,130,173 | X | ||
| Clarke, 200583 | X (adolescent) | ||
| PROSPECT95,125,135 | X | ||
| Pathways69,113 | X | ||
| Partners In Care86,122,123,136,176 | X | ||
| Hedrick, 200387 | X | ||
| PRISM-E82,118,198 | X | ||
| Katon, 199688 | X | ||
| Katon, 200198 | X | ||
| PRISM-E82,118,198 | X | ||
| RESPECT-D96,120 | X | ||
| Simon, 200484 | X | ||
| Adler, 2004106 | X | ||
| Swindle, 200385 | X | ||
| Datto, 200397 | X | ||
| Boudreau, 2002104,175 | X | ||
| Tutty, 200089 | X | ||
| QuEST5,111,124 | X | ||
| Hilty, 2007105 | X | ||
| Katzelnick, 2000100 | X | ||
| Finley, 2003108 | X | ||
| Katon, 1995102 | X | ||
| Katon, 1999103 | X | ||
| Hunkeler, 2000110 | X | ||
| Simon, 200099 | X | ||
| Asarnow, 2005114 | X (adolescent) | ||
| Anxiety Disorders | |||
| Roy-Byrne, 2001109 | X | ||
| CCAP9,139 | X | ||
| Rollman, 2005101,177 | X | ||
| Price, 200091 | X | ||
| Other Disorders | |||
| Katon, 1992107 | X | ||
| Epstein, 2007112 | X (1st through 5th grade) | ||
| PRISM-E (at risk alcohol)82,126,198 | X | ||
| Outcome Project Name or Author | Measurement | Patient Category | Comment |
|---|---|---|---|
| DEPRESSION DISORDERS | |||
| Social Factors | |||
| IMPACT, 2007199 | Process of care: use of antidepressants, psychotherapy, or any depression treatment. Mean SCL-20. SF-12 General health and PCS-12. Satisfaction with care. | Preplanned contrasts between poor older depressed adults living at or below 30% of median income and older adults living above 30% | Poor in intervention group had generally worse scores than not poor and lower program utilization. Poor showed significant improvement in depression symptoms, and general health. Improvement in physical quality of life showed by 12 months. |
| Poor N=576 | |||
| Not Poor N=1,225 | |||
| IMPACT, 2005137 | Process of care: use of antidepressants, psychotherapy, or any depression treatment. Mean SCL-20, treatment response and remission rates. SF-12 Overall functional impairment. Satisfaction with care. | Minority versus non-minority elderly depression patients | No significant interactions were found between intervention and ethnic groups in clinical outcomes, functioning, and process of care. Blacks had the largest intervention vs. control differences in depression score. Latinos showed largest impact of intervention on processes of care. |
| Non-minority N=1,388 | |||
| Minority N=360 | |||
| Partners in Care, 20046 | Probable depression diagnosis, SF12 MCS | Minority versus non-minority depression patients | QI-Therapy improved probable disorder and mental health quality of life at 5 years for Latino and African Americans but not Whites. |
| Total N=924, not reported by group | |||
| Asarnow, 2005114 | Although numbers were not reported by minority status, patient population was 56% Hispanic/Latino and 13% white. Significant findings for the intervention in this case support effectiveness at minimum for Latino adolescents | ||
| Comorbidity Factors | |||
| IMPACT, 20078 | Treatment response: 50% improvement in SCL-20 | No/low pain versus high pain patient populations | Pain was significantly associated with lower treatment response to collaborative care, including arthritis pain. |
| No/low pain N=1,163 | |||
| High pain N=1,640 | |||
| IMPACT, 2006128 | Graded chronic pain scale for arthritis pain severity | Low versus high pain patient populations | The effect size of the intervention on pain intensity was more than 8 times greater for patients with lower baseline pain severity. |
| Intervention group N=506 | |||
| Usual care group N=495 | |||
| Rost, 2007200 | Hospitalization rates | Rural versus urban, patients from both QuEST and Partners in Care studies. | Rural patients with depression were hospitalized significantly more frequently than urban patients, controlling for group assignment. |
| Rural N=304 | |||
| Urban N=1,151 | |||
| QuEST, 2006138 | SF-12 MCS across time | Rural versus urban depression patients | Intervention did not improve mental health status for rural depression patients. Intervention showed a strong impact on urban depression patients. |
| Rural N=160 | |||
| Urban N=319 | |||
| PRISM-E, 2007141 | Mean CES-D score | Pain severity, interference with work, and type of depression diagnosis | Patients with higher pain severity or pain interference showed less improvement in depression symptoms, primarily driven by patients with major depression. For major depression, pain interference mediated pain severity over time on depression symptoms. |
| Integrated care N=275 | |||
| Referral care N=249 | |||
| IMPACT, 200510 | Mean SCL-20, overall quality of life, SF-12 MCS | Patients with high comorbid medical illness versus patients with low comorbid illness | Presence of multiple comorbid medical illnesses did not affect patient response to the intervention. |
| Intervention group N=906 | |||
| Usual care group N=895 | |||
| PROSPECT, 200511 | Remission and treatment response | Elderly patients with major depression and specified comorbid medical conditions versus patients without such impairments | Remission and response rates differed for atrial fibrillation and chronic pulmonary disease patients receiving usual care but not intervention care. Infer that an association between medical comorbidity and treatment outcomes for major depression is determined by intensity of depression treatment. |
| Total N=324 | |||
| IMPACT, 2004142 | Depression, functional impairment, diabetes self-care behaviors | Patients with diabetes | Intervention patients showed improvement in depression scores and overall functioning. Weekly exercise increased, but other self-care behaviors were not different between intervention and control. No differences found in Hb1Ac levels, which were relatively low at baseline. |
| Diabetes subgroup N=417 | |||
| Other N=1,384 | |||
| Pathways, 200612 | Mean SCL-20 score | Diabetes patients with 2+ complications versus uncomplicated diabetes patients | Patients with 2+ complications showed significant improvements in depression scores versus patients with less, who showed effects similar to control group. |
| 0 to 1 complications N=192 | |||
| 2+ complications N=137 | |||
| PROSPECT, 2007140 | Remission and treatment response | Elderly depression patients with cognitive impairments versus patients without such impairments | Intervention improved depression response and remission rates regardless of cognitive impairments. Possible evidence that patients with lowest response inhibition may have had delayed responses to the intervention. |
| Total N=599 | |||
| IMPACT, 2005139 | Mean SCL-20 score and treatment response | Depression patients with and without comorbid PTSD and other anxiety disorders | Patients with PTSD showed a delayed response to intervention treatment, but were not significantly different from other intervention patients by 12 months. |
| Depression patient without comorbid PTSD N=1,610 | |||
| Depression patients with comorbid PTSD N=191 | |||
| Depression patients with comorbid panic disorder N=262 | |||
| Depression patients without comorbid panic disorder N=1,539 | |||
| TEAM, 2006201 | Quality of well-being scale, self-administered version. SF-12V MCS and PCS | VA Depression patients with and without comorbid anxiety disorders, including PTSD | 69% of patients had at least one comorbid anxiety disorder. Anxiety disorders predicted quality of well-being beyond depression disorder alone. PTSD also predicted differences in PCS. |
| Depression patients with any anxiety comorbidities N=225 | |||
| Depression patients without any anxiety comorbidities N=101 | |||
| Individual Differences Factors | |||
| Pathways, 2006143 | Depression free days | Independent versus interactive relationship styles (based on attachment theory) | Intervention patients with independent relationship style showed significant improvement, while patients with interactive style showed no difference from usual care. Independent style patients received significantly more PST sessions than those with interactive relationship style. |
| Interactive relationship style N=134 | |||
| Independent relationship style N=190 | |||
| PROSPECT, 2005135 | Remission rate | Hopelessness and other predictors of remission rate | First remission was earlier among intervention group. Physical and emotional functions predicted poor remission rate. Patients experiencing hopelessness more likely to experience remission in intervention group. |
| Total N=215 | |||
| Bush, 2004202,203(data from Katon, 1995 and Katon, 1996) | SCL-20 and treatment response | Predictors of patient treatment response | High neuroticism and history or recurrent major depression or dysthymia predicted poor outcomes in general. Age, gender, depression severity, medical and psychiatric comorbidity were not predictive. Patients with higher depression levels may require longer therapy continuation phase. |
| Low SCL=149 | |||
| High SCL=79 | |||
| Simon, 200484 | Benefit of intervention | Predictors of patient response, including depression severity | Post-hoc analysis. Effects varied by depression severity. No apparent intervention effect among those with mild depression. Intervention effects generally similar for moderate or severe symptoms. Effects did not vary by age, sex, race/ethnicity, educational level, or marital status. |
| Telephone care management N=207 | |||
| Telephone care management plus telephone psychotherapy N=198 | |||
| Usual care N=195 | |||
| Gender | |||
| Partners in Care, 200413 | Probable depression, SF-12 MCS, Self-reported work state. Process of care: probable appropriate care, probable unmet need | Male versus female patients | Probable depression did not differ by gender. SF-12 MCS differed by treatment group and gender over time, a 3-way interaction, with women delaying improvement in QI-Therapy, and improving faster in QI-Meds. Men showed opposite patterns. Men reported faster employment results from QI-Therapy, while women did for QI-Meds. |
| Women N=941 | |||
| Men N=358 | |||
| IMPACT, 2006144 | Receipt of depression care prior to study enrollment | Male versus female elderly patients | Women more likely to have used antidepressants in past 3 months, or received any form of depression care in past 3 months or over their lifetimes. Qualitative interviews with study providers suggested gender differences in how men experience and express depression, traditional masculine values, and the stigma of chronic mental illness. |
| Women N=1,160 | |||
| Men N=453 | |||
| ANXIETY DISORDERS | |||
| CCAP, 20059 | Anxiety and depression symptoms, disability, receipt of guideline concordant care | Above versus below median for chronic medical illness burden | Severely medically ill did significantly more poorly on clinical and functional outcomes, although they showed improvement over time. Those with higher medical illness level had significantly higher use of guideline-concordant medication. |
| Below RxRisk median N=107 | |||
| Above RxRisk median N=125 | |||
| Roy-Byrne, 2001204 | Treatment response | Predictors of panic disorder patient treatment response | Final regression model included, in addition to control condition, unemployment and emergency room visits as predictors of poor response. |
| Nonresponders N=42 | |||
| Responders N=55 | |||
| ADHD | |||
| Epstein, 2007112 | Reduction in DSM-IV symptomatology | Medication compliers versus non-compliers in intervention group | Symptom reduction in compliers was significantly lower than in non-compliers. |
| Compliers N=29 | |||
| Non-compliers N=30 | |||
| Medication compliers versus controls | Symptom reduction in compliers was significantly lower than in control. Compliers were also more likely to receive higher daily dosage, and controls more likely to receive lowest possible daily dosage. | ||
| AT RISK ALCOHOL | |||
| PRISM-E, 2006145 | Treatment initiation: attending initial visit | Predictors of patient behavior | Integrated care participants in pre-contemplative and contemplative stage more likely to initiate treatment than similar patients in referral care. Integrated care patients with no history or desire/attempt to cut down on drinking were more likely than referral care or integrated care patients with a history of desire/attempts. |
From the perspective of the health plan, the business case is based on whether the added attention reduces the costs of care overall by reducing emergency room and hospital use or return visits for medical problems. Case identification, a major driver for increased costs, is usually not reimbursed. In the fee-for-service sector, increased case finding may generate business, but in the managed care sector case finding adds additional costs Again, the IMPACT studies suggest actual net savings were achieved, but the basis for the calculations is not always clear in the literature.
Anxiety disorder studies may hold more potential for the business case. CE calculations for Roy-Byrne, 2001133 suggested a strong possibility that integrated care programs for anxiety disorder may be dominant, with an improved outcomes for reduced costs. However, the later study by Roy-Byrne and colleagues did not have as striking of CE results.134
| Type of Barrier | Strategy |
|---|---|
Financial
|
|
Organizational Barriers
| |
Because IMPACT shows the strongest evidence for integrated care for depression, the benefits of integrated care for the elderly population are present. However, one study extended the IMPACT program to the full adult population and was able to achieve the same improvements.93 Given that both adults and elderly are well represented in the trials, the evidence for integrated care trials is good for both general populations.
Only three studies addressed the pediatric population. Epstein et al.112 nested a test of the effects of collaborative care within an ADHD titration trial. While the study did not find a direct relationship of integrated care to significant improvements in ADHD symptoms, they did find evidence of collaborative care improving physician use of appropriate titration trials to determine optimal therapeutic doses.
Two studies addressed depression care for adolescents. Clarke et al.83 tested integrated care for adolescents with depression in a pediatric HMO population. This study found weak evidence of integrated care in that the adolescents assigned to receive the psychotherapy, and care management provided by the therapist, had reduced use of antidepressant medication but the same level of improvement as those adolescents in the control group. The nonsignificant difference between the control and intervention arms along with reduced adherence for the intervention group suggests that the patients were substituting psychotherapy for antidepressant treatments. Asarnow et al also demonstrated that psychotherapy was generally preferred to medication.114 There was a significant increase in the use of psychotherapy in the integrated care group but no significant difference between intervention and control groups in medication use. This study, however, found stronger evidence for integrated care improving depression symptoms for adolescents.
When contemplating new ways of providing health services, one should at minimum be concerned that new programs do not add to health disparities. Most studies collected baseline data on ethnic subgroups, 21 for depression,2, 83–85, 87, 88, 97, 98, 100, 103–106, 110, 111, 113, 118, 120, 131, 135, 136 four for anxiety disorders,90, 91, 101, 109 and one for alcohol at-risk behavior.126 However, possibly due to small numbers for many of them, only two studies used the information to conduct subgroup analyses. Both IMPACT137 and Partners in Care6 found in general no differences in outcomes between minority and nonminority populations. There was evidence of differential effects that suggest integrated care interventions may have improved quality of care for minority populations. Latinos were found to have larger use of processes of care137 and lasting long-term effects of psychotherapy,6 while Blacks showed greater improvements in depression scores137 and similar lasting effects of psychotherapy, as compared to Whites.6 While elderly people in poverty may start out with worse scores and take longer to manifest improvements in physical health benefit, they do show similar benefits from integrated care programs to people in middle- and upper-income categories. In addition, while the Asarnow et al. trial did not specifically analyze outcomes by ethnic status, the study population was predominately nonwhite, with the majority being Hispanic/Latino.114 Thus, from the limited evidence, it appears that integrated care programs do not negatively impact minority and vulnerable populations, and may serve them well.
One study found in a preplanned subgroup analysis that the integrated care intervention based on a depression disease management program was effective for urban patients but not effective for rural patients with depression, even though the intervention improved guideline concordant care during the acute phase of treatment.138 This differential finding from the QuEST trial is not entirely consistent with findings from other studies which included rural populations, such as Fortney et al.131 The trials differed in whether or not care managers were used and length of intervention.
There is a concern that integrated care models targeted at specific mental health disorders may not be effective for patients with mental and physical comorbid conditions. One analysis of IMPACT data139 showed that patients with comorbid panic disorder showed similar improvements to those without comorbidities. Patients with post-traumatic stress disorder (PTSD) showed a delayed response to intervention treatment but had caught up to other intervention patients in improvements by 12 months. Patients with reduced cognitive abilities were found to also benefit from integrated care for depression.140
Integrated care models have been found to be less effective for patients with higher pain levels,8 especially for patients with major depression.141 However, integrated care for depression has also been shown to reduce pain associated with arthritis, with a larger effect size for higher pain levels.128
Physical comorbidities do not appear to moderate effects of integrated care for depression.10, 11 Authors of one study inferred that an association between medical comorbidity and treatment outcomes for major depression is determined by the intensity of the depression treatment.11 That is, patients with specific types of comorbidities showed greater improvement with integrated care than patients with the same comorbidities who received usual care. The Pathways trial found that diabetics with a higher number of complications derived the greatest benefit from integrated care.12 Like patients in the Pathways trial, patients with diabetes in the IMPACT trial appeared to also benefit from integrated depression care.142 However, for anxiety patients, higher levels of comorbidity did appear to moderate the effects of integrated care.9
One of the more interesting sets of findings was on the differential impact of integration programs for patients with differing psychological makeup. Integrated care for depression appeared to be more effective than usual care for patients who score high on hopelessness135 or are less likely to establish a trust relationship with providers.143
There were reported gender differences in integrated care programs for depression. A qualitative study of IMPACT patients found that men and women have different views of depression.144 The Partners in Care trial found women more likely to benefit from the medication arm while men were more likely to benefit from the therapy arm.13
Anxiety disorder studies were, expectedly, not as developed in subgroup analysis. One study looked at medical comorbidity and found that more severely medically ill patients in the intervention group showed the most improvement over time, and were more likely to be using guideline-concordant medication for their anxiety disorder.9 Similarly, Zanjani and colleagues looked at predictors of treatment initiation for at-risk alcohol behavior patients in the PRISM-E study.145 They reported that patients identified by stages of change theory as pre-contemplative or actually contemplating change were more likely to initiate treatment if they were assigned to integrated care rather than enhanced referral. This may be related to what many believe is integrated care's ability to overcome stigma barriers.
| Outcome Project or Author | Measurement | Patient Category | Assessment Period | Direction of Effect | Results | Comment |
|---|---|---|---|---|---|---|
| DEPRESSION | ||||||
| Functioning/Disability | ||||||
| IMPACT2,121,130 | SF12 overall functional impairment | 3 months | Intervention | -0.67, 95% CI -0.9; -0.4, p<.001 | ||
| 6 months | Intervention | -0.35, 95% CI -0.6; -0.5, p<.02 | ||||
| 12 months | Intervention | -1.03, 95% CI -1.31; -0.74, p<.0001 | ||||
| 18 months | Intervention | -0.47, 95% CI -0.74; -0.19, p=.0009 | ||||
| 24 months | NS | |||||
| IADLs | 3 months | NS | ||||
| 6 months | NS | |||||
| 12 months | -1.5, 95% CI -0.29; -0.01, p=.04 | |||||
| QuEST5,181 | Patient work productivity (self-rated) | All patients | 2 years | Intervention | P<.05 | Estimated value of $1491 per depressed FTE |
| Consistently employed patients | 2 years | Intervention | P=.02 | Estimated value of $1982 per depressed FTE | ||
| Inconsistently employed patients | 2 years | NS | ||||
| Patient absenteeism | All patients | 2 years | NS | Trending for intervention at P<.06. Absenteeism reduced by 10.6 days over 2 years, value of $539 per depressed FTE | ||
| Consistently employed patients | 2 years | NS | Trending for intervention at p<.08. Absenteeism reduced by 12.3 days over 2 years, value of $619 per depressed FTE | |||
| Inconsistently employed patients | 2 years | NS | ||||
| SF36 Emotional role functioning | 2 years | Intervention | P=.002 | Treatment × time | ||
| SF36 Physical role functioning | 2 years | Intervention | P=.005 | Treatment × time | ||
| Finley, 2003108 | Work and social disability scale | 6 months | NS | |||
| Partners in Care122 | SF12 Role limitations | QI-meds | 6 months | Intervention | P<.05 | |
| 12 months | Intervention | P<.05 | ||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| QI-therapy | 6 months | Intervention, usual care and QI-meds | P<.05 | |||
| 12 months | Intervention, usual care and QI-meds | P<.05 | ||||
| 18 months | Intervention | P<.05 | ||||
| 24 months | NS | |||||
| Hedrick, 200387 | Sheehan disability scale | 3 months | Intervention | -0.53, 95% CI -1.04; -0.02, p<.05 | ||
| 9 months | NS | |||||
| Katon, 19993,182 | Sheehan disability scale | All patients | 1 month | NS | ||
| 3 months | Intervention | P=.05 | ||||
| 6 months | NS | |||||
| 28 months | Intervention | P=.04 | Treatment × time | |||
| Moderate severity | 28 months | NS | ||||
| High severity | 28 months | NS | ||||
| SF36 social functioning | 6 months | NS | ||||
| SF36 role functioning | 6 months | NS | ||||
| Physical Quality of Life | ||||||
| Fortney, 200692 | SF12V PCS | 6 months | No difference | NS | ||
| 12 months | No difference | NS | ||||
| IMPACT2,130 | SF12 general health | 12 months | Intervention | -0.32, 95% CI -0.42; -0.22, p<.0001 | ||
| 18 months | Intervention | -0.19, 95% CI -0.42; -0.22, p=.0002 | ||||
| 24 months | Intervention | -0.17, 95% CI -0.27; -0.06, p=.0015 | ||||
| SF12 PCS | 3 months | Intervention | 1.08, 95% CI 0.36; 1.80, p=.003 | Secondary analysis showed difference in functional status at 1 year accrued to those patients who showed improvement in depression symptoms. | ||
| 6 months | Intervention | 1.57, 95% CI 0.78; 2.34, p<.001 | ||||
| 12 months | Intervention | 1.71, 95% CI 0.96; 2.47, p<.0001 | ||||
| 18 months | Intervention | 1.14, 95% CI 0.34; 1.93, p=.0050 | ||||
| 24 months | Intervention | 0.83, 95% CI 0.01; 1.64, p=.0481 | ||||
| Clarke, 200583 | SF12 PCS | 12 months | NS | |||
| Partners in Care122,123 | SF12 PCS | All interventions | 6 months | NS | ||
| 12 months | NS | |||||
| QI-meds | 6 months | NS | ||||
| 12 months | NS | |||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| QI-therapy | 6 months | NS | ||||
| 12 months | NS | |||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| Hedrick, 200387 | SF36 PCS | 3 months | NS | |||
| 9 months | NS | |||||
| Boudreau, 2002175 | SF12 PCS | 12 months | NS | |||
| Mental Quality of Life | ||||||
| Fortney, 200692 | SF12V MCS | 6 months | NS | |||
| 12 months | Intervention | Effect size 0.46 | ||||
| PRISM-E118 | SF36 MCS | Major depression | 3 month | |||
| 6 month | NS | |||||
| Other depression | 3 month | |||||
| 6 month | NS | |||||
| All depression | 3 month | |||||
| 6 month | NS | |||||
| Clarke, 200583 | SF12 MCS | 12 months | Effect size 0.203 | |||
| Partners in Care122,123 | SF12 MCS | All interventions | 6 months | All interventions | P=.009 | |
| 12 months | All interventions | P=.04 | ||||
| QI-meds | 6 months | NS | ||||
| 12 months | NS | |||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| 5 years | NS | |||||
| QI-therapy | 6 months | Intervention | P<.05 | |||
| 12 months | Intervention | P<.05 | ||||
| 18 months | Intervention | P<.05 | ||||
| 24 months | Intervention | P<.05 | ||||
| 5 years | NS | |||||
| Hedrick, 200387 | SF36 MCS | 3 months | NS | |||
| 9 months | NS | |||||
| Boudreau, 2002175 | SF12 MCS | 12 months | NS | |||
| Hunkeler, 2000110 (reporting telehealth nurse only, not peer support) | SF12 MCS | 6 weeks | Intervention | P=.004 | ||
| 6 months | NS | |||||
| Asarnow, 2005114 | SF12 MCS | 6 months | Intervention | 2.6, 95% CI 0.3, 4.8, p=.03 | ||
| Wellbeing | ||||||
| Fortney, 200692 | Change in Quality of Well Being score | 6 months | Intervention | Effect size 1.43 | ||
| 12 months | NS | |||||
| IMPACT121 | SF12 overall quality of life in past month | 3 months | Intervention | 0.49, 95% CI 0.27; 0.69, p<.001 | ||
| 6 months | Intervention | 0.41, 95% CI 0.17; 0.63, p<.001 | ||||
| 12 months | Intervention | 0.56, 95% CI 0.32; 0.79, p<.001 | ||||
| Patient Self-efficacy | ||||||
| IMPACT2 | Confidence managing depression | 12 months | Intervention | 0.77, 95% CI 0.55; 0.99, p<.0001 | ||
| 24 months | Intervention | 0.39, 95% CI 0.16; 0.62, p=.001 | ||||
| ANXIETY DISORDERS | ||||||
| Functioning/Disability | ||||||
| Roy-Byrne, 2001109 | SF36 Role functioning | 12 months | Intervention | P=.03 | ||
| SF36 Social functioning | 12 months | NS | ||||
| CCAP9 | WHO disability scale | 3 months | Intervention | Effect size 0.29 | ||
| 6 months | Intervention | Effect size 0.31 | ||||
| 9 months | Intervention | Effect size 0.33 | ||||
| 12 months | Intervention | Effect size 0.34 | ||||
| EMPLOYMENT STATUS | ||||||
| Physical Quality of Life | ||||||
| CCAP9 | SF12 PCS | 3 months | NS | |||
| 6 months | NS | |||||
| 9 months | NS | |||||
| 12 months | NS | |||||
| Rollman, 2005101 | SF12 PCS | All patients | 12 months | NS | ||
| Mental Quality of Life | ||||||
| CCAP9 | SF12 MCS | 3 months | Intervention | Effect size 0.33 | ||
| 6 months | Intervention | Effect size 0.27 | ||||
| 9 months | NS | |||||
| 12 months | NS | |||||
| Rollman, 2005101 | SF12 MCS | All patients | 12 months | Intervention | 0.39, 95% CI 0.10; 0.68, p=.03 | Intervention × time |
| Panic disorder | 12 months | Intervention | 0.50, 95% CI 0.11; 0.89, p=.004 | Intervention × time | ||
| General anxiety disorder | 12 months | NS | ||||
| OTHER DISORDERS | ||||||
| Mental Quality of Life | ||||||
| PRISM-E126 | SF-12 MCS | 6 months | NS | |||
Health plans typically do not reimburse for consultation between providers, team meetings, or telephone calls. Similarly, health plans differ widely in how likely they are to reimburse for case management services.149 Moreover, while there are Current Procedural Terminology (CPT) codes for care management services, the amount of reimbursement for the coded service is insufficient to meet salary and benefit needs of professionals. Further, for most services face-to-face clinical assessment/intervention is required for billing, yet much of care management is done telephonically.
Most of the clinical trials reviewed did not confront these financial barriers because they were at least partially funded with research funding. While some organizations involved in these trials (i.e., Project IMPACT), included sites that managed mental health care under carve-outs, the financing of the program did not reflect these arrangements; encounters with the care manager and psychiatrist were provided free to patients in IMPACT.121 RESPECT-D, in contrast, was designed to demonstrate the feasibility of implementing collaborative care in ‘real world’ settings, and included financing through the participating organizations' quality improvement budgets. However, even RESPECT-D faced financial difficulties sustaining care manager functions under this model.153
The best evidence of strategies to overcome these barriers in real world settings comes from projects funded through the Robert Wood Johnson Foundation's Depression in Primary Care: Linking Clinical and System Strategies program.62, 154 The program funded a number of initiatives (under the Incentive Demonstration Projects) focused on addressing the financial integration of mental health and primary care services. While these have not been fully evaluated, they do offer some strategies for overcoming some of the common barriers to financial integration. The experiences of Colorado Access (a Medicaid health plan that provided carved out behavioral health services) and the University of California San Francisco (UCSF) (a partnership between their network of primary care practices, a general medical plan and carved out behavioral health services) demonstrate how integration efforts can be funded even in carved-out environments. Both sites changed reimbursement rules so that primary care physicians could bill for mental health care. Colorado Access, however, had physicians bill the general medical plan for mental health visits, while the initiative at UCSF involved negotiations with the carve-out so that credentialed primary care physicians could bill the MBHO for services.
The University of Michigan demonstration project155offers yet another model of financial integration. The University of Michigan Health System (UMHS) partnered with Ford Motor Company to provide depression care in primary care practices for members enrolled in two regional health plans. The project went to substantial efforts to first price the care management services introduced into primary care and used a combination of existing CPT codes and the new codes to bill based on resource units. Thus, unlike Colorado Access or the UCSF initiative, the UMHS integration effort involved billing for ‘new’ services.154
One of the central difficulties to achieving financial integration is that any given practice is likely to treat patients from multiple insurance plans. Barry and Frank154 estimate a typical medical group is covered by 10 to 15 health plans. Thus, full integration is possible only if each plan is willing to participate, a formidable challenge. Barry and Frank 154 report, for example, that although the UCSF initiative achieved remarkable partnerships between their primary care clinics, the MBHO and the general medical care plan, this covered only a minority of patients for most physicians.
Change. The efforts to achieve integration are substantial, and providers may be reluctant to invest in such efforts. Primary care providers have been trained to provide general medical services and often consider mental health services outside of their responsibility, although views of responsibility varies by specialty.156 A key determinant of successful organizational integration programs is having a key leader (or leaders) who are willing to promote, support, and advocate for the program. While much has been written about the importance of leadership,146, 157, 158 most of the clinical trials reviewed do not directly address this aspect of program implementation. Project IMPACT, RESPECT-D, and PROSPECT, did identify key leaders as part of the implementation of the interventions146 but do not describe how these leaders were identified or how commitment of leaders was sustained.
Time. Asking primary care physicians to take additional responsibility for their patients' mental health problem must be balanced against the myriad of other patient needs. None of the studies directly access the impact of integrating care on physicians' workloads. However, Thomas and colleagues159 report that many of the physicians who participated in the RESPECT-D trial from the Colorado Access initiative felt that the time it took to screen patients was a barrier to sustainability. Similarly, Rost and colleagues report substantial problems implementing an integrated model that included first stage screening to identify patients at risk for depression, followed by a second stage screener to confirm eligibility.111 Approximately one in five patients screened positive at the first stage, more than the staff were able to initially process through the second screener. To adjust, staff relaxed criteria that every patient be screened and subsequently the research team hired further screeners to help with the workload. One possible strategy is to centralize screening (for example, have the health plan conduct the screening).159
The use of physician extenders (or care managers) to provide care management functions should mitigate some time pressures on primary care physicians. In most of the trials, these professionals were responsible for monitoring patients, providing feedback to clinicians, and often acting as a liaison between primary and specialty care. This should, in theory, reduce the time that primary care physicians need to devote to caring for patients with mental health problems such as depression. None of the research reports the effects of such efforts on physician workloads. Moreover, as mentioned previously, there remain substantial financial barriers to adding such roles in practices.
The collaborative care models that rely on care managers are premised on having a sufficient caseload to finance such a position. Project PROSPECT estimated that a feasible caseload for their health specialist (who took on role as liaison with physicians, and provided some psychotherapy services) is approximately 30 patients.160 Other research, however, has found estimates in the 100–150 range, depending on care management role responsibilities and work flow requirements.73, 161 For many practices that are small or that are located in rural areas where access to psychiatry is problematic, training such care managers to practice onsite is not feasible. As Barry and Frank154 point out, most physicians work in relatively small practices (nine or fewer physicians) and thus the cost of supporting a care manager may be prohibitive. One possible solution is to rely more heavily on telemedicine. Fortney and colleagues, for example, tested an integrated model that used off-site professionals (including case managers, psychiatrists, and pharmacists) who worked with the on-site primary care physicians in a rural site.131
The introduction of new roles to support primary care physicians does not guarantee that the roles will function as designed. In the clinical trial reported by Swindle and colleagues, clinical nurse specialists (CNSs) were trained to provide care management functions and liaison with primary care physicians.85 However, many of the CNSs did not agree with the screening method to identify cases with depression, and many failed to develop a treatment plan for patients. The authors speculate that because the CNSs were accountable to the mental health service, not the primary care service, they may been less committed to mental health treatment within the PCP sector and more willing to utilize ‘watchful waiting’ rather than evidence based guidelines for care.
Finally, there are issues around privacy that may be a barrier to organizational integration. The regulations under the Health Insurance Portability and Accountability Act (HIPAA) are sometimes misinterpreted as intended to prohibit the sharing of medical information between providers without the patients' consent. However, HIPAA does not prohibit these practices, although some state and federal laws or practices have privacy laws that are more restrictive and may prevent effective communication.62 None of the trials reviewed reported on how they addressed privacy concerns.
Sustainability. The barriers to integrated care have often made it difficult to sustain the models developed in clinical trials in real world settings. There have been followups of both RESPECT-D and IMPACT that point to some of the important barriers to sustainability.
RESPECT-D investigators conducted a 1 year and 3 year followup of the five health care organizations (two health plans and three medical groups) originally involved in the trials.153 At 1 year, they assessed referrals to care management for each organization. They found that three of the organization (all the medical groups) continued to utilize care management, but that the number of referrals from physicians was substantially lower in the 1-year period after the intervention compared to the prior year when the clinical trial was operating. Moreover, clinicians seemed to be unaware of the available services. Less than half the clinicians reported that their organization made a psychiatrist available for consultation (although four out of five of the organizations did have this service available). Similarly, although all sites had care management available, at 3 years 40 percent of clinicians said that such services were not available.
The method of referral to care management was substantially modified at one of the health plans, with referral to care management primarily done by the plan after identifying patients through administrative data. At the other health plan, care management was transferred to an external disease management company. The authors conclude that although the key components of RESPECT-D were maintained in three sites, the health plans were less successful in maintaining the core elements. The authors speculate that this may have been because the plans are less connected to the clinical care of patients than are medical groups and thus may have been less committed. The authors also report that financial barriers continued to be a problem. The project was designed to be supported by the organization's quality improvement funds. However, at followup, funds were made available to the plans that participated in the study to help with the transition to post-study activity, and that further modifications to the model may have been made had the funds not been available.
Project IMPACT investigators conducted a similar evaluation, including accessing how the intervention was implemented at each of the seven sites and whether the intervention was sustained 1 year following the end of the trial.162 While they found that the major components of IMPACT remained at five of the seven sites, they were substantially adapted. The staffing of the care manager role was substantially changed in four of the five sites that sustained the intervention, typically with other professionals than clinical nurse specialists fulfilling the role. In two of the sites, the care manager role was expanded to address more than depression care (i.e., diabetes). The use of psychiatrists as supports was also substantially changed, and came to more closely resemble ‘usual care’ at some sites. Instead of being available to see patients in the primary care setting, psychiatrists were available for consult or referral. There were also modifications in the use of the PHQ-9 to track clinical status, patient educational tools, and use of psychotherapy. The authors also assessed barriers to sustainability through interviews with key informants at each site. Some of the health care organizations resisted change, either because they felt they had sufficient programs in place (one site) or their practices were geographically dispersed so the position of a care manager at each site was not feasible.
At all of the sites, financial barriers were substantial, particularly those involving funding of the care manager role. The five sites that continued IMPACT varied widely in funding models. Only one site was able to directly bill insurance plans for care management services. The other sites maintained the model by having the organization directly support the position, connecting it to other programs (i.e., an existing disease management program or an existing geriatric research project). The authors argue that demonstrating clinical effectiveness helped secure funding in one site, and may be critical to sustainability.
Of all the models of integration that have been tested, Project IMPACT has gone the farthest in trying to facilitate the implementation of collaborative care in real world settings. The investigators are currently working toward establishing IMPACT in a diverse array of settings, and provide support to sites implementing the intervention.163 However, currently projects implemented under the IMPACT model are not being evaluated for fidelity to the core elements of the models, so it may be difficult to isolate specific features of the models likely to reduce barriers.
The VA is also committed to investigating and implementing integrated care processes across VA settings. More will be provided on the VA's efforts in a later case study in Chapter 4 of the report.
| Outcome Project or Author | Measurement | Patient Category | Assessment Period | Direction of Effect | Results | Comment |
|---|---|---|---|---|---|---|
| DEPRESSION | ||||||
| Adherence/Adequate Dosage | ||||||
| Fortney, 200692 | Full dosage ≥80% of days | 6 months | Intervention | NNT=8 | ||
| 12 months | Intervention | NNT=6 | ||||
| Fortney, 2006131 | Proportion of patients with active prescription, EMR source | 6 months | NS | |||
| 12 months | NS | |||||
| Pathways113 | Any antidepressant refills | 3 months | Intervention | OR 3.20, 95% CI 1.84; 5.58 | ||
| 6 months | Intervention | OR 2.29, 95% CI 1.38; 3.82 | ||||
| 9 months | Intervention | OR 2.78, 95% CI 1.62; 4.76 | ||||
| 12 months | Intervention | OR 2.18, 95% CI 1.32; 3.62 | ||||
| Pharmacy records, based on guidelines | 1–6 months | Intervention | OR 4.15, 95% CI 2.28; 7.55 | |||
| 7–12 months | Intervention | OR 2.9, 95% CI 1.69; 4.98 | ||||
| Adler, 2004106 | Rate of antidepressant use, self-report | 3 months | Intervention | P=.024 | High of 60.6% of patients using antidepressants at 3 months. Impact greatest for those not on antidepressants at baseline | |
| 6 months | Intervention | P=.025 | ||||
| Finley, 2003108 | HEDIS antidepressant adherence rate | 3 months | NS | |||
| 6 months | Intervention | P=.038 | 67% of patients using antidepressants in continuation phase. | |||
| Partners in Care183 | Any antidepressant use in past 6 months | 6 months | PIC-Meds | P=.001 | Compared to usual care. Also significantly greater than PIC-Therapy at 6, 12, and 24 months. | |
| 12 months | PIC-Meds | P=.003 | ||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| Datto, 200397 | Treatment adherence, medication and psychotherapy if receiving care at baseline | 16 weeks | NS | Adherence was not predicted by age, gender, baseline physical and mental health status, or depression severity | ||
| Katon, 19993,103 | Adhere ≥90 days of adequate dosage | All patients | 1–6 months | Intervention | P<.001 | 73% of intervention |
| 7–12 months | NS | |||||
| 11–28 months | NS | |||||
| Moderate severity | 1–6 months | Intervention | P<.05 | 76% of intervention | ||
| 7–12 months | NS | |||||
| 11–28 months | NS | |||||
| High severity | 1–6 months | Intervention | P<.01 | 72% of intervention | ||
| 7–12 months | Intervention | P<.05 | 70% of intervention | |||
| 11–28 months | NS | |||||
| Adequate low-dose for 90 days, AHRQ guideline | 6 months | Intervention | P<.0001 | |||
| Adequate moderate-dose for 90 days, psychiatrist practice | 6 months | Intervention | P=.002 | |||
| Katon, 1995102 | Adhere ≥30 days of adequate dosage | Minor depression | 1–7 months | Intervention | P<.001 | |
| Major depression | 1–7 months | Intervention | P<.001 | |||
| Adhere ≥90 days of adequate dosage | Minor depression | 1–7 months | Intervention | P<.001 | ||
| Major depression | 1–7 months | Intervention | P<.01 | |||
| Katon, 199688 | Adhere ≥30 of adequate dosage | Major depression | 7 months | NS | Pharmacy records | |
| Adhere ≥30 of adequate dosage | Minor depression | 7 months | Intervention | P<.002 | ||
| Katon, 200198 | Any antidepressant refill | 12 months | Intervention | 0.90, 95% CI 1.37; 2.65, p<.001 | ||
| Adequate dosage | 12 months | Intervention | OR 2.08, 95% CI 1.41; 3.06 | |||
| Boudreau, 2002175 | Use of antidepressants for at least 25 of past 30 days | 12 months | NS | |||
| Simon, 200484 | Adequate pharmacotherapy for 90 days | Telephone psychotherapy plus care management | 6 months | NS | ||
| Telephone care management | 6 months | Intervention | P=.01 | 54% received adequate dosage | ||
| Tutty, 200089 | Adequate low-dose for 90 days, AHRQ guideline | 3 months | NS | |||
| 6 months | NS | |||||
| Adequate moderate-dose for 90 days, psychiatrist practice | 3 months | NS | ||||
| 6 months | NS | |||||
| Lin, 1999, followup of Katon, 1995 and 19964 | Adequate pharmacotherapy | 19 months | NS | |||
| Simon, 200099 | Adequate low-dose for 90 days, AHRQ guideline | Care management arm | 6 months | NS | ||
| Adequate moderate-dose for 90 days, psychiatrist practice | Care management arm | 6 months | Intervention | OR 1.99, 95% CI 1.23; 3.22 | ||
| Process of Care/Program Use | ||||||
| Grypma, 200693 | Care manager contacts | Unclear | Post-study | 19.8 to 13.6 contacts, p<.001 | Post-study group used less care manager services than IMPACT RCT. | |
| Use of any PST-PC | Unclear | NS | ||||
| Use of antidepressant | Unclear | NS | ||||
| IMPACT2,121 | Percent self-reported use of antidepressant | 3 months | Intervention | OR 2.02, 95% CI 1.66; 2.44, p<.001 | 12 months showed highest percent using antidepressants in intervention (73%) | |
| 6 months | Intervention | OR 2.02, 95% CI 1.66; 2.47, p<.001 | ||||
| 12 months | Intervention | 18.46, 95% CI 13.53; 23.40), p<.0001 | ||||
| 18 months | Intervention | 14.74 95% CI 9.58; 19.89, p<.0001 | ||||
| 24 months | Intervention | 13.91, 95% CI 8.69; 19.14, p<.0001 | ||||
| Percent self-reported use of any specialty mental health visits or psychotherapy | 3 months | Intervention | OR 3.77, 95% CI 3.02; -4.70, p<.001 | 12 months showed highest percent using mental health in intervention (43%) | ||
| 6 months | Intervention | OR 4.47 95% CI 3.47; 5.77. p<.001 | ||||
| 12 months | Intervention | 28.18, 95% CI 23.79; 32.57), p<.0001 | ||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| Percent self-reported use of any depression treatment | 3 months | Intervention | OR 3.33, 95% CI 2.68; 4.13, p<.001 | 12 months showed highest percent using any treatment in intervention (82%) | ||
| 6 months | Intervention | OR 2.93, 95% CI 2.34; 3.67, p<.001 | ||||
| 12 months | Intervention | 25.69, 95% CI 21.03; 30.35, p<.0001 | ||||
| 18 months | Intervention | 15.19, 95% CI 10.07; 20.31, p<.0001 | ||||
| 24 months | Intervention | 13.78, 95% CI 8.55; 19.00, p<.0001 | ||||
| Pathways113 | 4 or more specialty mental health visits | 12 months | Intervention | 29.31, 95% CI 14.65; 58.66 | 67.7% of intervention patients reported 4 or more visits | |
| PROSPECT125 | Medication and psychotherapy | 4 months | NS | |||
| 8 months | NS | |||||
| 12 months | Increased for control | OR 0.25, 95% CI 0.07; 0.96, p<.001 | ||||
| Medication only | 4 months | Increased for intervention | OR 4.91, 95% CI 2.13; 11.33, p<.001 | |||
| 8 months | Increased for intervention | OR 4.20, 95% CI 1.77; 9.96, p<.001 | ||||
| 12 months | Increased for intervention | OR 7.21, 95% CI 2.86; 18.18, p<.001 | ||||
| Psychotherapy only | 4 months | Increased for intervention | OR 43.93, 95% CI 11.59; 166.42, p<.001 | |||
| 8 months | Increased for intervention | OR 163.48, 95% CI 21.90; 1220.57, p<.001 | ||||
| 12 months | Increased for intervention | OR 41.15, 95% CI 6.22; 272.39, p<.001 | ||||
| No treatment | 4 months | Increased for control | OR 0.003, 95% CI 0; 0.02, p<.001 | |||
| 8 months | Increased for control | OR 0.004, 95% CI 0; 0.02, p<.001 | ||||
| 12 months | Increased for control | OR 0.02, 95% CI 0; 0.07, p<.001 | ||||
| RESPECT-D120 | Percent taking antidepressants | 3 months | NS | |||
| 6 months | NS | |||||
| Percent received counseling in past 3 months | 3 months | NS | ||||
| 6 months | NS | |||||
| Simon, 200484 | Primary care visits for mental health diagnosis | Telephone psychotherapy plus care management | 6 months | Increased for intervention | P=.01 | |
| Telephone care management | 6 months | Increased for intervention | P=.01 | |||
| Primary care visits for other than mental health | Telephone psychotherapy plus care management | 6 months | Decreased for intervention | P=.02 | ||
| Telephone care management | 6 months | NS | ||||
| Mental health specialty visits for medication management | Telephone psychotherapy plus care management | 6 months | NS | |||
| Telephone care management | 6 months | NS | ||||
| Mental health specialty visits for psychotherapy | Telephone psychotherapy plus care management | 6 months | Decrease for intervention | P=.02 | ||
| Telephone care management | 6 months | NS | ||||
| Total primary care and mental health visits | Telephone psychotherapy plus care management | 6 months | NS | |||
| Telephone care management | 6 months | NS | ||||
| ≥4 psychotherapy sessions | Telephone psychotherapy plus care management | 6 months | Increase for intervention | P<.001 | ||
| Telephone care management | 6 months | Increase for intervention | P=.01 | |||
| Partners in Care123,136 | Percent with overall appropriate care | All interventions | 6 months | Intervention | P<.001 | |
| QI-meds | 6 months | Intervention | P<.001 | |||
| QI-therapy | 6 months | Intervention | P=.002 | |||
| All interventions | 12 months | Intervention | P=.006 | |||
| QI-meds | 12 months | Intervention | P<.001 | QI meds also higher than QI therapy, P=.02 | ||
| QI-therapy | 12 months | NS | ||||
| Percent with appropriate antidepressant medication | All interventions | 6 months | Intervention | P=.001 | ||
| QI-meds | 6 months | Intervention | P=.001 | |||
| QI-therapy | 6 months | NS | ||||
| All interventions, if appropriate at baseline | 6 months | NS | ||||
| All interventions, if not appropriate at baseline | 6 months | Intervention | P<.001 | |||
| All interventions | 12 months | Intervention | P=.01 | |||
| QI-meds | 12 months | Intervention | P<.001 | |||
| QI-therapy | 12 months | NR | ||||
| All interventions, if appropriate at baseline | 12 months | Intervention | P=.006 | |||
| All interventions, if not appropriate at baseline | 12 months | NS | ||||
| Percent with any specialty counseling | All interventions | 6 months | Intervention | P<.001 | ||
| QI-meds | 6 months | Intervention | P=.003 | |||
| QI-therapy | 6 months | Intervention | P<.001 | |||
| All interventions, if counseled prior to baseline | 6 months | NS | ||||
| All interventions in not counseled prior to baseline | 6 months | Intervention | P<.001 | |||
| All interventions | 12 months | Intervention | P=.03 | |||
| QI-meds | 12 months | Intervention | P=.003 | |||
| QI-therapy | 12 months | NR | ||||
| All interventions, if counseled prior to baseline | 12 months | NS | ||||
| All interventions in not counseled prior to baseline | 12 months | Intervention | P=.05 | |||
| Measures of use of psychotherapy | QI-med, QI-therapy, usual care | 2 years | QI-therapy showed significantly higher use of high and low doses of psychotherapy, CBT-type therapy, number of session. Major depression was driver of different use patterns. | |||
| Measures of use of medication | QI-med, QI-therapy, usual care | 2 years | QI-med had significantly higher rates of antidepressant use and reduction in long-term minor tranquilizer use compared to QI-therapy or usual care. | |||
| Hedrick, 200387 | Percent receiving antidepressants | 9 months | Intervention | P<.0001 | 80% intervention patients received antidepressants | |
| Katon, 1999103 | Mean PCP visits | 12 weeks | NS | |||
| 6 months | NS | |||||
| Percent with at least one non-study mental health visit | 12 weeks | NS | ||||
| 6 months | NS | |||||
| Mean non-study mental health visits | 12 weeks | NS | ||||
| 6 months | NS | |||||
| QuEST5 | Use of antidepressants | 24 months | Intervention | P<.0001 | Intervention group used 6.5 months vs. 3.4 months for control group | |
| Use of mental health counseling | 6 months | Intervention | P<.0001 | |||
| 12 months | P=.01 | |||||
| 18 months | NS | |||||
| 24 months | NS | |||||
| Asarnow, 2005114 | Any specialty mental health care | 6 months | Intervention | OR 2.8, 95% 1.6, 4.9, p<.001 | ||
| Any psychotherapy or counseling | 6 months | Intervention | OR 2.2, 95% 1.3, 3.9, p=.007 | |||
| Number of counseling visits | 6 months | Intervention | OR 2.4, 94% CI 1.4, 4.1, p=.003 | |||
| Any medication | 6 months | NS | ||||
| Any mental health treatment by primary care clinical | 6 months | NS | ||||
| Satisfaction with Treatment | ||||||
| Fortney, 2006131 | Total behavioral health satisfaction, Experience of Care and Health Outcomes Survey | 6 months | Intervention | NNT=8 | ||
| 12 months | Intervention | NNT=9 | ||||
| PRISM-E184 | Client satisfaction questionnaire | 12 months | Integrated care | Mean score 3.4 vs. 3.2, p<.001 | Driven by referral care indicating lower level of “services received met your needs.” Those with lower SES and higher perceived stigma were less likely to be satisfied. | |
| IMPACT2,121 | Satisfaction with depression care | 3 months | Intervention | OR 3.26, 95% CI 2.52; 4.22, p<.001 | ||
| 12 months | Intervention | 27.95, 95% CI 22.45; 33.45, p<.0001 | ||||
| 18 months | Intervention | 14.11, 95% CI 7.91; 20.30, p<.0001 | ||||
| 24 months | Intervention | 12.96, 95% CI 6.48; 19.44, p=.0001 | ||||
| Clarke, 200583 | Satisfaction with care | 12 months | NS | |||
| Pathways113 | Satisfaction with treatment | 6 months | Intervention | OR 2.01, 95% CI 0.57; 1.40 | ||
| 12 months | Intervention | OR 2.88, 95% CI 1.67; 4.97 | ||||
| RESPECT-D120 | Rating of care as good to excellent | 3 months | Intervention | P=.008 | ||
| 6 months | Intervention | P=.0003 | ||||
| Simon, 200484 | “Very satisfied” with treatment | Telephone psychotherapy plus care management | 6 months | Intervention | P<.001 | |
| Telephone care management | 6 months | Intervention | P=.001 | |||
| Finley, 2003108 | Overall satisfaction with treatment | 6 months | Intervention | P=.023 | Significant for 7 of 11 satisfaction items | |
| Swindle, 200385 | Overall satisfaction | 3 months | NS | |||
| 12 months | NS | |||||
| Katon, 1999103 | Satisfaction with treatment | 3 months | Intervention | P<.00001 | ||
| Katon, 1995102 | Satisfaction with treatment | Minor depression | 4 months | NS | ||
| Major depression | 4 months | Intervention | P<.03 | |||
| Satisfaction with medication | Minor depression | 4 months | Intervention | P<.02 | ||
| Major depression | 4 months | Intervention | P<.01 | |||
| Katon, 199688 | Satisfaction with treatment | Major depression | 4 months | Intervention | P<.009 | |
| Minor depression | 4 months | Intervention | P=.003 | |||
| Hedrick, 200387 | Overall satisfaction with treatment | 9 months | NS | |||
| Boudreau, 2002175 | Satisfaction with depression care | 12 months | NS | |||
| Hunkeler, 2000110 (reporting telehealth nurse only, not peer support) | Satisfaction with treatment | 6 weeks | Intervention | P=.004 | ||
| 6 months | Intervention | P=.001 | ||||
| Asarnow, 2005114 | Satisfaction with mental health care | 6 months | Intervention | 0.3, 95% CI 0.1, 0.5, p=.004 | ||
| Guideline concordance | ||||||
| Datto, 200397 | Clinician adherence with guidelines | All patients | 12 weeks | NS | ||
| Patients who required treatment adjustment | 12 weeks | OR 7.03, 95% CI 1.03; 48.01, p=.05 | ||||
| ANXIETY DISORDERS | ||||||
| Adherence/Adequate Dosage | ||||||
| Roy-Byrne, 2001109 | Adherent more than 25 days | 3 months | Intervention | P<.05 | ||
| 6 months | Intervention | P<.05 | ||||
| 9 months | NS | |||||
| 12 months | NS | |||||
| Roy-Byrne, 2001109 | % received appropriate type of medication | 3 months | Intervention | P<.05 | ||
| 6 months | NS | |||||
| 9 months | NS | |||||
| 12 months | NS | |||||
| % received adequate dosage and duration | 3 months | Intervention | P<.05 | |||
| 6 months | Intervention | P<.05 | ||||
| 9 months | NS | |||||
| 12 months | NS | |||||
| CCAP9 | % received appropriate anti-panic medication | All months (through 12 months) | NS | |||
| Process of Care/Program Use | ||||||
| CCAP9 | % received ≥3 counseling sessions plus at least 4 of 7 CBT techniques | 3 months | Intervention | P<.001 | Highest proportion was 63% of intervention group at 3 months | |
| 6 months | Intervention | P=.005 | ||||
| 9 months | NS | |||||
| 12 months | Intervention | P=.02 | ||||
| % received any anti-panic medication | 3 months | NS | ||||
| 6 months | NS | |||||
| 9 months | NS | |||||
| 12 months | NS | |||||
| % received any counseling | 3 months | Intervention | P<.001 | Highest proportion was 70% of intervention group at 3 months | ||
| 6 months | Intervention | P=.05 | ||||
| 9 months | Intervention | P=.004 | ||||
| 12 months | Intervention | P<.001 | ||||
| Rollman, 2005101 | % on medication | 12 months | Intervention | 23.9, 95% CI 7.1; 41.8, p=.006 | NS at 4, 8, and 12 months | |
| % with mental health specialty visit | 12 months | NS | 18% in intervention vs. 26% in control | |||
| Satisfaction with Treatment | ||||||
| Roy-Byrne, 2001109 | Satisfaction with treatment | 12 months | Intervention | P=.039 | ||
| Price, 200091 | Satisfaction with anxiety treatment | 6 months | Intervention | P<.0001 | 10 of 11 satisfaction items significant | |
| OTHER DISORDERS | ||||||
| Titration Trials | ||||||
| Epstein, 2007112 | Improvement in % physicians using titration trials | 12 months | Intervention | Beta -.283, SE 0.09, p<.01 | Collaborative care physicians increased from 9% to 68%, compared to no increase in control group | |
| Medication Management | ||||||
| Epstein, 2007112 | Improvement in % physicians systematic monitoring medication | 12 months | NS | Both groups increased. 36% of collaborative care group did not monitor | ||
Systematic screening and case identification. Currently, one of the more readily applicable uses of health IT is for systematic screening and case identification. For example, current guidelines recommend screening for depression during primary care visits, especially for practices that have systems in place to ensure that communication of screening results is coordinated with followup and treatment.164 Several depression screening instruments are available, such as PRIME-MD, GHQ, and the PHQ9. Several of the studies of depression care in this review reported utilizing a screening questionnaire to identify subjects with depression, but only a few reported using health IT to communicate a positive screen to providers. For instance, in the study by Fortney et al., the results for depression screening were entered into a common, shared EHR via an electronic progress note and the primary care provider was notified of the positive results by being designated as an additional signer on the electronic progress note.131 Similarly, Rollman et al. screened patients for anxiety disorders using PRIME-MD and positive screens were communicated to the PCP by generating an interactive e-mail alert (flag) through a common, shared EHR system and an electronic letter to the PCP.101
An efficient and powerful tool for health IT is to identify potential cases and develop “electronic registries” of the target population by using existing computerized pharmacy and electronic health record databases. For example, Simon et al. successfully identified patients with depression by electronically searching computerized pharmacy and visiting registration databases for all new episodes of anti-depressant medications.84 Fortney et al. successfully identified cases of depression using administrative data available from annual depression screening results that had been previously entered into the EHR.131
Communication between primary care and specialty mental health providers. With the advent of the electronic health record, it is increasingly possible for primary care and specialty mental health providers to share medical records, which traditionally are separate. The promise of shared medical records is in the ability to foster communication between providers, which in turn would facilitate collaboration, and provide decision support to primary care providers. We identified several studies in which integration programs capitalized on the availability of shared EHRs to facilitate communication between PCPs and mental health specialty providers both on-site and off-site. For example, Hedrick et al. fostered collaborative care in the VA by using electronic progress notes to communicate patient clinical information and treatment recommendations between psychiatrists and PCPs.87 Providers were notified about the progress note by provider alert and co-signature functions that are part of VA EHR system. Adler et al. in a pharmacist driven intervention to improve antidepressant medication utilization, used a standard computerized template that enabled the pharmacist to easily communicate specific information on patient antidepressant use to their PCP.106
Decision support. The uses of health IT to meet the information needs of PCPs and provide support for treatment decisions for psychiatric disorders include simple notification of the diagnosis of a psychiatric disorder, as previously described, as well as provider education, guideline-based treatment recommendations, and formal telepsychiatric consultation. Technologies include interactive video conferencing technology and the internet or intranet. For example, in the TEAM intervention,131 1-hour continuing medical education presentations on managing depression in primary care were delivered to off-site PCPs via interactive video and PCPs were informed about the TEAM website, which contained a link to the MacArthur Foundation Depression Tool Kit. Formal telepsychiatric consultation, using interactive video equipment, was available to off-site PCPs who did not have on-site psychiatrists but was rarely utilized. Rollman et al. developed an intranet website that could be accessed from the EHR that offered detailed advice for treatment of depression based on the AHRQ depression treatment guideline.165 In sum, we identified few studies reporting on use of health IT for decision support, indicating that this area is underdeveloped and understudied. We have minimal knowledge on how best to utilize health IT to provide decision support for psychiatric treatment decisions in primary care.
Monitoring of clinical status and medication adherence. The use of health IT for clinical status monitoring for symptoms such as depression and anxiety appears to be quite effective in providing clinicians and study teams with up-to-date information about patients' clinical status. For example, monitoring PHQ9 scores or similar measures were employed in studies of depression care. Several patient specific tracking methods have been employed and include web-based tracking systems, Microsoft Access based electronic database, hand-held organizers (e.g., PDAs), and simple documentation of clinical status in the EHR so it is easily available to clinicians. A web-based tracking system was used by several of the larger studies of depression care, including the IMPACT intervention.
Few studies appear to be using health IT to improve monitoring for medication adherence. In the literature we observed two methods employed for monitoring medication adherence that involved health IT: (1) use of a telephone care manager who would speak to the patient and obtain the medication use history and, if available, document the medication history in the EHR, and (2) surveillance of automated pharmacy databases for continued refills of medications.
Treatment delivery. The literature was very sparse on the use of health IT for psychiatric treatment delivery and appears to mainly involve telemedicine technologies. Telemedicine improves access to care, especially for patients in rural areas, and allows for patients to receive psychiatric care without an in-person encounter. Types of telemedicine that were reported included telephone psychiatric consultation, telephone case management, and telephone psychotherapy. We did identify one study of computer delivered CBT for anxiety management. In this study, an anxiety specialist and the patient used a stand-alone computer together and the anxiety specialist directed the patient through a computerized CBT session.7 In sum, telemedicine and health IT hold great promise for improving access and for delivering psychiatric treatment, but currently remain, for the most part, untested.
One of the largest challenges to integrated care programs is funding. Reimbursement for provider-to-provider communication, the basis of integrated care, is not allowed under Medicaid law.150 This effect is magnified since a large proportion of patients with mental illness are covered by Medicaid.26 Similarly, the disincentives built into the fee for service, carve-out, and capitation arrangements affect the general insured populations.151 The difficulties with billing and being reimbursed for communication and coordination activities generally performed by care managers or therapists with additional care management responsibilities, and the supervision of the care managers by psychiatrists, in integrated care programs compounds the problem.
Bachman et al. provides an excellent discussion of possible reimbursement structures for depression care management.149 The authors describe seven methods of paying for care management, varying by the location of the care manager (see Figure 13
While there were a number of effectiveness trials for depression that recruited patients from essentially all major provider settings and representing all forms of insured/not insured, no trial reported specifics of reimbursement structures beyond baseline information, nor were results analyzed by type of reimbursement program. Certainly there is currently no evidence to support the effects of one payment strategy over another in terms of outcomes. The literature remains descriptive, providing only occasional brief case reports of individual initiatives that include some information on reimbursement structures.167, 168 169, 170
A new SAMHSA report provides the most comprehensive information to date on public insurance reimbursement structures and the associated barriers to implementing integrated care.14 The report outlined Medicaid and Medicare reimbursement structures and policies that create financial disincentives for integrated care. Medicaid includes such problems as restrictions on same-day billing for primary care and mental health providers, carve-outs for managed care that favor one type of provider over another, reimbursement difficulties for specific components of integrated care programs such as care managers, activities necessary for collaborative care and team approaches such as provider-to-provider communication, and telemedicine for remote and underserved areas. Medicare also has numerous reimbursement issues, such as limiting outpatient mental health treatment to 62.5 percent of costs, unresolved problems with procedure codes, and restrictions imposed by medical review policies. The report concluded with a summary of an expert forum whose task it was to identify additional barriers that affect reimbursement, prioritize the barriers, and suggest future actions. The top barriers related to primary care settings were:
State Medicaid restrictions on payments for same-day billing.
Lack of reimbursement for collaborative care and case management related to mental health services.
Lack of reimbursement of service provided by nonphysicians, alternate practitioners, and contract practitioners.
Medicaid disallowance of reimbursement when primary care providers submit bills listing only a mental health diagnosis and corresponding treatment.
Reimbursement rates in rural and urban settings.
Lack of reimbursement incentives for screening and providing preventive mental health services.
The recommendations for alleviating the barriers for these items were to:
Reduce denials associated with same-day billing, such as mental health and physical health services when services are provided on the same day by two separate practitioners.
Improve reimbursement of evidence-based practices, collaborative care, team approaches to providing care, and reimbursement of care and case management services.
Increase payment for professional services by nonphysician practitioners under Medicaid and Medicare.
Improve primary care provider access to mental health services reimbursed through carve-outs.
Increase reimbursement rates in urban and rural settings.
Improve incentives for screening and prevention.
Recommend a collaborative effort across the Department of Health and Human Services (DHHS) agencies, including CMS, HRSA, SAMHSA, and AHRQ to clarify and coordinate reimbursement policies.
The search of the literature returned only three trials,16, 17, 171 all of which have been included in a previous systematic review of six trials designed to improve general medical care in people with mental addictive disorders.15 As the quality of the narrative review was deemed good and shared a similar aim, we did not re-abstract the three trials. We did not include in the results below the two trials that took place in inpatient settings or the trial with a methadone clinic setting.
Druss and von Esenwein's review found all three outpatient setting trials used “collaborative care” models.15 These models demonstrated intermediate to high levels of involvement by primary care providers, with regular contact between medical and mental health staff. Such staff may or may not be co-located.
Two of the trials showed improvement in primary care linkages16 or substantially higher number of annual primary care visits in the intervention groups.171 Medical quality improved for intervention patients vs. control patients in the two studies that reported quality of care. Druss et al. reported significant improvement in 15 of 17 guideline-recommended preventive activities.16 Weisner et al. found increased diagnosis rates for four common medical conditions.17
Patient outcomes also improved. Druss et al. found improvements in both the SF36 Physical Component Scale and the Mental Component Scale for intervention patients,16 while Willenbring and Olson reported improvements in physical wellbeing.171 Further, Willenbring and Olson reported improvements in mortality rates for the intervention group in bivariate analysis, although a Cox survival analysis was underpowered and nonsignificant.171 Additionally, both studies that addressed alcoholic addiction disorders found improved abstinence rates in the groups receiving integrated care.17, 171
Two of studies reported in the Druss and von Esenwein review formally assessed program costs.16, 17 The studies measured intervention costs based on staff salaries and activities. The programs were found to be cost-neutral as increases in outpatient expenditures were offset by declines in inpatient and emergency room use. The review also reported a significant decline in annual costs for the subsample of patients in the Weisner et al. trial with substance-related mental and medical comorbidities, compared to the control group.18
The trials reported in the Druss and von Esenwein review15 were for adults with serious mental health or substance abuse disorders. The literature is silent on differences in patient outcomes for age, gender, or ethnicity, although the studies were not restricted by gender or ethnicity.
The three trials took place in large, integrated health systems. Two were conducted at the VA while the third was conducted in a large Health Maintenance Organization (HMO) in California. The VA's structure is conducive to integrated care as medical and mental health care are generally co-located in the large VA medical centers. Large HMOs also have an advantage of integrated systems with medical and mental health care available within the system. Integration of primary health care into free-standing community substance use disorder treatment clinics with no immediate access to medical health care facilities would likely present several additional barriers and challenges not encountered in the VA and HMO trials.
More generalizable examples of barriers to providing primary care in specialty mental health care is provided in a report of a performance improvement project at the Health & Education Services, Salem, Massachusetts, of the Northeast Health System, a large community-based health care delivery system, for a population of individuals receiving outpatient mental health services.172 The clinic implemented an integrated care program based on the Druss et al. trial.16 The clinic did not anticipate the complexities involved in setting up and running a functional primary care space within a behavioral health care setting, including the procurement of items such as adequate lighting, privacy screens, and changing areas. Nor did they anticipate the discomfort the presence of items such as gynecological examination tables would induce. There were complaints of losing prime office space to the primary care function. Laboratory personnel forgot items outside of established routine practices, such as hematology samples left by the primary care nurse for pickup. General behavioral medicine staff became more supportive of the change to providing primary care by gaining familiarity with the engaging primary care staff and the positive responses from the patients.
The only reported use of health IT was by Druss and colleagues, who noted the use of common medical records and email for communication.16 Presumably the Willenbring et al. trial also benefited from the same IT available in VA centers.171
As mentioned above, the trials took place in large, integrated health systems. The authors of one study suggested that since positive results were found in the sub-population with substance abuse related medical conditions, high levels of integration may not be necessary or appropriate for all patients.17 Given the minimal cost savings, a sufficiently large caseload to support medical practice may be the most critical concern for providers who are not part of a large system that assesses costs from a health plan perspective. Boardman reported the performance improvement project received grants from Blue Cross Blue Shield of Massachusetts Foundation for calendar years 2004 and 2005 to help meet program costs.172 Funding remains an ongoing issue while the program works to maximize insurance reimbursement.
| Author, Year Project | Screening and Case Identification | Communication | Decision Support | Monitoring for Clinical Status Tracking | Monitoring for Medication Adherence | Treatment Delivery |
|---|---|---|---|---|---|---|
| Depression Disorders | ||||||
| Fortney 200792 Mittal 2006201 Fortney 200692 VA TEAM | -Administrative data from annual depression screening -Depression screening results entered into the EHR | -Shared electronic medical records -EHR used to send progress notes to facilitate communication between on-site and off-site personnel | -Telepsychiatry consultation -Provider education using interactive video conferencing and TEAM website | -Monitoring of PHQ9 scores entered into EHR | -Telephone nurse care management -Telephone pharmacist management -Feedback provided to PCP via electronic medical record | Telemedicine-based collaborative care model adapted for small clinics without on-site psychiatrists |
| Kirkcaldy 2006205 Evaluating a depression screening program of VA | EHR, pharmacy records, referral, records, encounter forms, nursing intake notes, and outpatient and inpatient clinician notes were reviewed for documentation of depression screening | -Shared EHR (VA, CPRS) -use of EHR facilitated communication to providers of a positive depression screen | Text box highlights for annual depression screening, serving as a prompt to intake nurse and providers | Evaluation of a four question depression screening added to the EHR | None reported | -Provider offer of depression medication treatment with electronic prescribing -Computer generated referral to mental health services |
| Unutzer, 2006173 IMPACT | None reported | None reported | None reported | -Internet based clinical information system to record patient contacts -Available to clinicians and investigators in “real-time” | None reported | None reported |
| Simon 200484 Tutty 200089 GHO telemed | Computerized pharmacy and visit registration databases were used to identify all new episodes of antidepressant medications | None reported | All care management activities were organized and supported by an electronic decision support system | None reported | Computer generated recommendations for medication adjustments sent to PCP | Telephone Psychotherapy Program and Telephone Care Management |
| Doolittle 2001206 Home telecare | None reported | None reported | None reported | None reported | None reported | Editorial report on failure of telemedicine for psychiatry in rural areas due to lack of buy-in. |
| John, 2007207 PDA-DDS of depression screening | PDA handheld used by providers to implement depression screening | None reported | PDA-based algorithm | None reported | None reported | None reported |
| Hilty 2007105 | None reported | Televideo conferencing between rural PCP and psychiatrist | -Telepsychiatry consultation -Disease management modules | None reported | None reported | Televideo or telephone psychiatric consultation for rural primary care |
| Callahan, 2006208 | None reported | None reported | None reported | -Web-based tracking system for scheduling contacts, tracked patient progress and current treatments -Tool to communicate patient's clinical status to entire team | None reported | None reported |
| Katon, 200369 | None reported | None reported | None reported | -Hand-held organizer with Pendragon software for tracking patient data -PHQ completed with each patient contact | None reported | None reported |
| Hedrick, 200387 | None reported | -Shared electronic health record -Electronic progress notes used to communicate between psychiatrist and PCP -Provider alert and co-signature functions | None reported | None reported | None reported | None reported |
| Katon, 1995102 | None reported | None reported | None reported | None reported | Monthly surveillance of pharmacy data for continued refills of antidepressant medications | None reported |
| Katon, 1999103 | None reported | None reported | None reported | None reported | Monthly surveillance of pharmacy data for continued refills of antidepressant medications | None reported |
| Bruce, 199995 | Computer scoring of CES-D during telephone interview | None reported | None reported | None reported | None reported | None reported |
| Adler, 2004106 | None reported | Computerized template to transmit information from pharmacist to PCP | None reported | None reported | Telephone pharmacist contact | None reported |
| Anxiety Disorders | ||||||
| Rollman 2005101 Rollman 2003177 Rollman 2001165 Common, shared EMR | -PRIME MD used to screen for anxiety symptoms -IT not used for screening, which was conducted by a research assistant in-person in clinic waiting rooms. | -Common, shared EHR- (EpicCare, Madison, WI) which contains internal email system -Interactive e-mail alert (flag) generated through the EHR system and an electronic letter to the PCP | -Care managers use the EHR to send PCP's guideline-based treatment recommendations for the PCP's consideration -Web-based guidance available on INTRANET | Microsoft Access based electronic registry developed to monitor anxiety symptoms score | Telephone anxiety care management | Telephone based collaborative care for PD and GAD |
| Sullivan, 20077 | -Web-based tracking system -Real-time monitoring of recruitment, enrollment, diagnoses, eligibility, and patient contact information | None reported | None reported | Web-based tracking for continuous symptom assessment | None reported | -Computer assisted CBT -Anxiety specialist and patient used a stand-alone the computer together. -Anxiety specialist directs patient through the computerized session |
| Price, 200091 | -Automated screening - QPD administered on ‘hand-held” box, also makes a diagnosis -6 minutes to complete and printout provided as a report | None reported | None reported | None reported | None reported | None reported |
| Case Study | Alcohol | IT | Sponsorship | Structure | Location | Approach to integration | Patients | |
|---|---|---|---|---|---|---|---|---|
| Public | Private | |||||||
| Group Health Cooperative | x | x | Non-profit Staff HMO | Washington | Condition specific | Depression | ||
| RESPECT-D | x | Medical Groups and Health Plans | National | Condition specific | Adult depression | |||
| Eastern Band of Cherokee Nation Health Services | x | Other | Non-profit Integrated system | Rural North Carolina | Comprehensive | Eastern Band of Cherokee | ||
| Tennessee Cherokee Health | x | x | Non-profit Provider system | Rural Tennessee | Comprehensive | Comprehensive | ||
| Washtenaw Community Health Organization | x | x | Non-profit Provider system | Urban Michigan | Comprehensive | Medicaid; indigent, severe and persistent mental illness | ||
| Haight Ashbury Free Clinics | x | x | Non-profit Provider | Urban California | Comprehensive | Indigent, Medicaid | ||
| Intermountain Healthcare | x | x | x | Non-profit Integrated system | Rural and urban Utah, Idaho | Comprehensive | Rural and urban | |
| MaineHealth | x | Non-profit Provider system | Maine | Comprehensive and condition specific | Rural | |||
| Northern California Kaiser Permanents | x | Non-profit Staff HMO | Northern California | Comprehensive and condition specific | Comprehensive, depression | |||
| DIAMOND Initiative | x | HMOs, Medical Groups with payer participation | Minnesota | Condition specific | Adult depression | |||
| Veterans Administration | x | Non-profit Integrated system | National | Condition specific | Adult depression | |||
| Aetna | x | Insurance | National | Condition specific | Depression, | |||
| CorpHealth | x | Disease management | National | Condition specific | Mental health conditions | |||
The sites selected for the case studies came from recommendations from a broad group of advisers. They were selected to illustrate the range of implementation strategies and the early experience in launching such programs. Each of these case studies illustrates one or more points relevant to implementing and sustaining integrated care.
Group Health Cooperative has long been a home to clinicians and researchers involved in integrated research. With the location and availability of home-grown information, one might think it should have been easy to institute integrated care, but the real world is more complicated than research.
RESPECT-D, a recent trial of integrated depression care, included a follow-up phase during which the health care organizations which had participated in the trial were provided training and instrumental support, including grant money, to implement a plan to disseminate the integrated model across the organization. The researchers described a qualitative follow up of the organizations and the characteristics associated with implementation and dissemination.
Eastern Band of Cherokee Health is an example of a health system with ties to the Indian Health Service.
Tennessee Cherokee Health is the grandfather of integrated health that has sprung from community health organizations.
Washtenaw Community Health Organization represents a model of bottom-up growth which tied together community resources. It represents a reproducible model that others can follow and is developing standardized processes.
Haight-Ashbury Free Clinics, although also a long-lived program providing care to vulnerable populations, has comparatively few economic and system resources. Nonetheless, they are instituting integrated care. Their program includes integrated substance abuse, for which a substantial percent of the substance abuse population is being treated for alcoholism.
Intermountain Healthcare is a large health system that built on an existing infrastructure to provide integrated care. It relied heavily on a continuous quality improvement (CQI) strategy to implement the change.
MaineHealth, a rural integrated health system, provides an example of an organization that has moved from a disease-specific focus for integrated care, based on the RESPECT-D model, to comprehensive integrated care based on the Intermountain Healthcare model.
Northern California Kaiser Permanente illustrates a primary care redesign that incorporated generalist behavioral health care adapting to the addition of standardized care processes for specific disease populations. They are also an example of an IMPACT-derived national dissemination.
The DIAMOND project addressed a problem that haunts many integrated care efforts; namely, the issue of multiple health plan sponsors, each with its own requirements and payment systems. DIAMOND points to one way to promote integrated care by getting all plans to agree to a single form and payment approach.
The Veterans Administration is implementing a national roll out of integrated care that, likewise, built on a strong existing infrastructure, including electronic health records (although the usefulness of the EHR in integrating care is still being debated). It too relied on a QI approach, which included several critical elements: leadership involvement from the top, local buy-in and adaptation, incentives and rewards, feedback, and continuous stimulation.
Two programs included here do not meet the strict definitions of integrated care used in this report, but they represent large scale efforts to integrate such care in health plans. They are driven by concerns about high cost enrollees; they are expected to show a substantial return on investment (ROI).
Aetna works with PCPs to have them screen patients for depression. Confirmed depression cases are managed by offsite case managers, with referrals made to behavioral health specialist as need. Implementation is hampered by the fact that for most PCPs Aetna is just one of many payers.
Corphealth, working for Humana, uses case managers to address needs of clients identified through administrative data and enrollment screening. PCPs are almost bypassed. In some instances multiple case managers are involved, some as disease managers and some specifically for depression.
Each organization used as a case study is in its entirety a complex story which involves multiple facets of the integrated care provided. Specific case studies were chosen to highlight specific elements, and the case studies themselves are brief in nature. It should not be construed that because an element was not highlighted in a case study that it was necessarily missing from the organization's larger story.
A tipping point is being reached as more and more programs are implemented. Networks of health care organizations developing and implementing various integrated care models are being seen as communities of organizations learn together and share information and lessons learned as integrated care gathers momentum. This can be seen in the efforts of the IMPACT project (www.impact-uw.org), the VA, the MacArthur initiative using the Three Component Model, the National Council for Community Behavioral Health and its learning communities, and Intermountain Healthcare, among others, to advance and support implementation on a national level. Advancement of both condition specific programs, such as depression using specialized care management, and comprehensive programs with generalist behavioral health consultants and care managers are in evidence.
There appears to be a growing trend of incorporating both comprehensive integrated mental health with condition specific systematic protocols for care management to capture the best that both have to offer. While not wishing to oversimplify, the case studies suggest the comprehensive behavioral health model has grown in tandem with the concepts like the medical home which couples the aim to provide effective and efficient care from the provider's side with the aim to provide seamless, patient-centered care from the consumer's side, and has been seen most commonly in organizations where a large portion of the patient population would be considered complex patients, or in organizations that have a strong incentive to apply a public health population management focus. Disease specific integrated models with systematic processes have often been associated with organizations committed to quality improvement processes. Both the medical home ethos and improving the quality of care through systematic processes appear to have merit for individual organizations.
This last point suggests an interesting line of questions. For an organization new to both comprehensive and condition-specific integrated care, is there a best entry point, and if so, what would it be? For example, the Three Component Model (TCM) supports practice change for only one chronic condition or only one mental health condition, depending on one's perspective. How would adoption of a systematized depression care program differ for organizations that had a history of chronic care management clinical improvements a la Wagner's CCM, or a history of collaboration with behavioral medicine as team members? Both offer a larger organizational structure and culture within which a depression care program could be incorporated. The Kaiser case study includes both elements of a clinical improvement culture and behavioral and medical collaborative teams and sees a benefit from both, but it is too early in the process, and possibly too difficult, to tease out the differential contribution. The lead investigator of the RESPECT-D trial suggested that incremental change, laying a foundation of either care improvement for chronic care management or collaborative care with behavioral medicine before attempting a program that utilizes lessons from both is the way to go.
Then there is the question of whether care management is best accomplished as a generalist or specialist function. The case studies offer examples of both, with a certain weighting of the those organizations aligning along medical home lines tending to use comprehensive behavioral therapists and care managers, and those organizations aligning along quality improvement lines tending to use specialist care management. Arguing the benefits and costs of generalist versus specialist approaches is a long and venerable tradition, and it is far too early in the process of integrated care to for one approach to necessarily be favored over another. It seems likely that different approaches are suggested by the level of patient complexity, as the Intermountain experience suggests.
Whether generalist or specialist approaches are used, what is clear from all the case studies is that the success of a program relies directly on successful relationship management. Program implementation, whether from an organic bottom-up or hierarchical top-down development approach, requires attention to relationships at all levels. Tension is a natural consequence of change, as one case study participant noted. Programs new to organization staff, staff new to an organization with a functioning integrated care model, care models new to providers and staff trained under traditional care models, new ways of organizing delivery of services cobbled together from coalition of networked medical, mental health, and social services organizations, patients new to receiving services through care management, all are experiencing change. Every case study providing an integrated model of care noted that the right person in the right place—the right care manager, the right behavioral therapist, the right psychologist, the right clinic champion, the right organizational leader—was critical to success.
If the integrated care approach is going to sustain, it will have to show a return on investment to encourage payers to cover it. Funding can be a big problem, especially when multiple funders are involved. A common approach for both operations and payment is a major incentive to developing this approach; likewise, the indicators of good performance must align with the goals of integrated care and be consistent across payers. For these reasons, it is easier to establish integrated care in the context of large health care delivery corporations, especially where clinicians are salaried. Comprehensive EHRs can help, but only if they readily integrate with the data critical for integrated care. Nor, as the Haight Ashbury case study suggests, should the lack of a comprehensive EHR be considered an impenetrable barrier to providing integrated care.
Group Health Cooperative (GHC) is a large nonprofit health care system that provides both medical coverage and care in Washington State and Northern Idaho, with approximately 568,000 enrollees. Overall, a staff model is used in more densely populated areas with deeper penetration, while network arrangements are used in less dense areas. The staff model serves about 70 percent of the members. GHC is organized as a community of businesses within the integrated health system with a shared purpose of providing high quality and affordable health care. The organization is governed by an 11 member board of trustees, all of whom are GHC members elected by other members.
Within GHC, Behavioral Health Services (BHS) have tended to run with mixed staff and network models even in dense areas because of the seasonal rhythm to referrals, e.g. Seasonal Affective Disorder. BHS has been involved in a transformational process over the last two decades, responding to the problems of improving access to behavioral health care and improving quality of care, both behavioral and medical. In the early years, throughout the country, behavioral health care was essentially a cottage industry. The advent of managed behavioral care changed standard operating procedures within BHS over time, knitting services together to form a system, and ultimately a business. This transformational process has transpired in several phases and is ongoing.
Integrated care was launched to improve access and quality of care within an organization with a fundamental set of organizing principles committed to systematic care. The fact that BHS was already embedded in a medical care organization was seen as an advantage. Integration was also a response to the threat of carve outs, which had been significantly successful in gaining market share. Historically, carve outs, by definition, tended to reify behavioral health specialty as separate from the population-based care perspective. An over-focus on such a division of labor restricted access, particularly at the point of contact most frequented by people with behavioral health issues, which is primary care.
BHS also had the advantage of being part of a system that has been seminal in integrated care research. The primary investigators of the research also functioned as clinicians in medical and behavioral health. In theory, BHS would have been best placed to implement what was learned from the research. GHC's Center for Health Studies has also investigated effectiveness of treatments in naturalistic settings by embedding intervention in GHC patient services. But the real world is more complicated than even is found in effectiveness studies.
In the early days, preparing the organization for the idea of integrated care required a considerable amount of raising consciousness with regard to mental illnesses. The concept of epidemiological intelligence, influenced by research in the UK, gradually led to the understanding that a population perspective for behavioral health is legitimate and useful. The vast majority of people with mental illness are actually seen in primary care. Also during this time, the managed care environment in the US generated the National Committee for Quality Assurance (NCQA), which included depression care medication management as a quality indicator. This helped spur support for organizing a “roadmap for depression”, which used electronic charting to improve depression care follow through. GHC's improvements have held over time, with 75th to 90th percentile marks for the depression Healthcare Effectiveness Data and Information Set (HEDIS) indicators.
BHS was involved in a second initiative as well, this one without formal department sponsorship. BHS established a business relationship with primary care to co-locate clinical staff in area medical centers on a part time basis to be available for general consultation. Specifically, a psychotherapist would spend 20 percent time in a medical center for 30 minute consultations with patients with psychiatric problems that were unlikely to be referred for specialty care. The purpose of the initiative was to improve access to behavioral health care and take advantage of efficiencies for patient convenience and to intervene at the initial site of concern, primary care. Within a utilization corridor, if behavioral health penetration, base of utilization, increased by 10 percent, primary care would reimburse BHS with a per member per month fee. If penetration did not increase, or declined, BHS would reimburse primary care.
The major effort for the primary care general consulting program focused on training behavioral health clinicians to function more like primary care providers; the 15 minute primary care clinic visit versus the 50 minute hour behavioral therapist visit. The BHS therapists involved in the initiative reported enjoying the new environment, and the program was popular. Given that primary care general consultation visit was usually a 30 minute visit, the BHS therapists were making themselves available for more patients within a work day. This was part of the basis for the informal reimbursement agreement between primary care and BHS.
In fact, penetration did increase by more than the required 10 percent in the Seattle area, but the late 1990s was a financially challenging time for the organization in general, and primary care was unable to afford the within-company reimbursement. So, even though the BHS initiative was available within a staff model HMO and single payer, finances still brought the initiative down.
Overall, these experiences taught BHS that, in order to compete with carve out competitors, they would need to take on business properties such as knowing the competition, understanding cost structures, and having solid assessments of good performance. BHS was trying to balance collaboration and consultation on the one hand and performing to industry specifications as represented by carve outs and HEDIS on the other. It was a classic case of needing to focus on what are deemed important business indicators as represented by the carve outs and HEDIS, which was a limiting factor in allowing the necessary increased resources to meet the integration opportunity.
From the 1990's, BHS's focus increasingly turned to running a business model and hitting the quality indicators. Depression care, a la HEDIS, was an area that was doing well, but the primary care general consultation program was discontinued and primary care and behavioral care returned to traditional models.
The next growth phase for integrating care came with the implementation of a new electronic medical system which included both medical and behavioral health information. Considerable effort was spent on designing the system, and there were adaptive issues around how to balance sharing information between providers with confidentiality requirements. A split clinical note was developed that had one section for the behavioral clinician to record confidential patient information. A second section with assessments and treatment plans which could be shared with medical providers when there is a clinical need to access such information.
Even with the upfront time commitment to developing the EHR, though, the launching was met with mixed success with the medical staff. There was a conflict of cultures over how the therapists documented cases and what the physicians felt they needed in order to help and follow through with patients under treatment. There was also still an unmet need of improved integration that could be accomplished by sharing some information with nurses, pharmacists, and social workers. The EHR was changed to allow access to these other disciplines. A warning system was installed that required the user to input a log-in password and a reason for accessing the record for each and every encounter. This was viewed as over-burdening by the medical staff as well, and future changes will be coming.
In the current business environment, BHS has been seeing a synergy developing between integrated care processes and business indicators. For example, the National Business Coalition for Health (NBCH), and the affiliate group, the Puget Sound Health Alliance, have been monitoring the HEDIS indicators for ADHD, alcohol, and depression. Good systematic tracking and follow through by health organizations is required to achieve high marks on these indicators.
Further, the Puget Sound Health Alliance has developed an accreditation process, EVALUE8, which is a set of questions, like accreditation standards with measurements somewhat like HEDIS, including those that are pertinent to integrated care. NBCH is looking for evidence of processes such as case identification (PHQ-9 for depression or AUDIT for alcohol), conventional and non-face-to-face outreach efforts (telephone and internet), and the care organization's ability to report follow through with the processes. If EVALUE8 is successfully implemented, it has the potential to demystify integrated care and send a clear signal about what is involved in the follow through of clinical processes.
GHC is also investigating the Toyota system LEAN which focuses on processes and uses outcomes to perfect the business's clinical functions. GHC is very committed to using LEAN to provide clinical care, including integrated care.
BHS has also been moved into the primary care business structure within the GHC organization, which places them even more centrally to follow through with integrated care. They are continuing to pursue NCQA accreditation with the QI 11 standards and guidelines focused on continuity and coordination of care between medical and behavioral health services. Attention is being placed on information exchange, psychiatric involvement in formulary choices, and adherence monitoring. General consultation is available in the form of Mind Phone, a psychiatry telephone consultation line. Psychiatrists divvy the work time, manning the phone during the work week to assure someone is always available to all GHC clinics for questions. There is also a focus on prevention and monitoring of medical risks for patients using psychopharmacology, for example, elderly patients on tricyclics for sleep problems when they face other increased health risks.
Providing integrated care is an ongoing process. Be prepared for achieving success in some areas and being humbled in others.
Health care functions in a real, capitalistic world. It is a multivariable equation, realizing the promise of what's possible from integration.
Medical cost offsets can take years to show up. But the business model runs on today's budget.
RESPECT-D was designed not just to test an integration model, but also the ability of a model to be disseminated across organizations. The RESPECT-D research team conducted an extensive qualitative investigation into the factors contributing to successful implementation and dissemination, or the barriers to implementation, after the research trial concluded. 211 Two of the five HCOs involved in the trial, both of them medical groups, continued with the TCM and expanded it to all clinics. The following lists the major lessons from the article.
TCM strategies. The PHQ-9 was widely seen as the most useful of the TCM components. Many physicians continued to use it for confirming diagnoses and monitoring patients, even after all other program components were discontinued.
Psychiatric oversight of care managers was widely valued by clinicians, care managers, and the mental health specialists who appreciated the ability to provide expanded support to a larger number of patients.
The large majority of communications involved medication management and psychiatric comorbidities.
There was a nearly universal failure of the clinicians to distinguish between self-management support and general patient education. The care managers, who were responsible for providing the self-management support, were more likely to understand the difference and view self-management support as an important component of care.
Care managers were also valued by clinicians, although this opinion was tempered by the time required for communication and the cost of additional staff. The locations and way care managers were used changed post-trial for continuing HCOs. Care managers tended to be located onsite, and there was wider variation on patient characteristics PCPs relied on to select which patients they felt would benefit from referral to care management.
General clinician perceptions. Changing a practice is very difficult and not worth the effort unless it makes a big difference; change that only improves care for a single disease is often not seen as efficient.
While care managers were valued, physicians felt burdened by the time spent in communication with care managers, or attending to care management forms, even if only “a few minutes here, a few minutes there.”
Most physicians were loath to link services to a health plan, providing improved care to only those patients with the proper coverage.
Organizational characteristics associated with sustaining and disseminating TCM. HCOs that successfully disseminated the TCM to all clinics had “a mission and vision of improved care that was widely shared among leadership of the organizations and clinicians at the practice level.” This commitment extended beyond depression care to include chronic care in general.
The HCOs were committed to a clearly defined and widely-understood institutional change strategy in place before the trial began. The HCOs had a history and culture of improvement change, including systematic change.
Leadership was clearly associated with successfully sustaining and spreading the program.
The ability to rationalize the cost of the program was also key to implementing and spreading the program. The rationalization may be clinical—“it's good patient care”—rather than directly economic.
Implementation was easier the more the clinics followed staff models and organization provided an integrated system of care.
Adoption of the TCM in the two medical group HCOs was part of a larger vision and more comprehensive initiative to improve chronic care.
Organizational characteristics associated with decision not to disseminate TCM. Many PCPs who participated in the trial through two health plans disliked providing improved care to only those patients with the proper coverage. The PCPs did not wish to limit improved care to only a select group of patients. They also saw a loss in efficiency when administrative practices are applicable to only a subset of patients.
The loss of leadership is just as strongly associated with the inability to sustain the program. Two of the three HCOs not continuing had experienced loss of visionary leadership during the trial.
Staff model relationships between the clinics and HCOs are not enough in the face of the lack of an economic model; nor is a staff model a guarantee that a noneconomic justification for the program will be successfully adopted.
Health plans had the most difficult time implementing, sustaining, and spreading the TCM. Neither health plan participating in the trial had more than indirect influence through reimbursement policies over the participating clinics, nor were they able to change their reimbursement policies within the context of the TCM.
The Eastern Band of Cherokee Nation (also known as the Eastern Band of Cherokee Indians, or EBCI) Health Service is a largely rural network of health services. Any person identified as a member of a federally recognized tribe is eligible for services. Approximately 10,000 of the 14,000 EBCI members are users of the tribes' health care system, which is governed by many tribal and federal government rules. Under self-governance, the EBCI runs one 16-bed hospital with one onsite and one offsite outpatient clinic and five tribal outpatient clinics offering primary health care services. Funding for the system is from four primary sources: the Indian Health Service (IHS), tribal funds, reimbursements from other health payers, and grants. Tribal funding, particularly from Indian gaming, has become a significant proportion of total funding; it has been demonstrated nationally that federal funding through the IHS is insufficient and lower than that provided for prisoner health care. Patients who require specialized services or tertiary care not available within the network are referred out to receive contracted services from providers in surrounding areas. From the patient perspective, EBCI functions as a single payer health system. EBCI will bill any eligible third party payer, such as private insurance, Medicare, and Medicaid, conserving its funds as a payer of last resort.
The EBCI integrated care program targets a specific population, the Indian members, rather than a clinical problem, such as depression. The program began as a bottom-up initiative introduced by mental health staff. A child psychologist offered to locate part-time in primary care clinics and school