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Making Healthcare Safer IV: A Continuous Updating of Patient Safety Harms and Practices [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2023 Jul-.
Making Healthcare Safer IV: A Continuous Updating of Patient Safety Harms and Practices [Internet].
Show detailsStructured Abstract
Objectives:
To review the evidence from the past 10 years on the effectiveness of structured protocols for the handoff between clinicians of responsibility for a patient’s care on clinical safety outcomes.
Methods:
We searched PubMed, EMBASE, PSNet, CINAHL, and a narrowly focused search for unpublished reports from January 2013 to June/July 2024 for systematic reviews and primary studies of structured protocols for handoffs within the same inpatient unit (i.e., not transferring to a different level of care or a different institution) that reported patient clinical outcomes, such as medical errors, adverse events, medication errors, mortality, length of stay. Risk of bias was assessed with the Cochrane Risk of Bias Tool or a modification of the National Institutes of Health pre-post study tool, a narrative synthesis was performed, and certainty of evidence was assessed using criteria used by Making Healthcare Safer II and the National Academy of Medicine.
Findings:
We retrieved 789 citations, of which 16 articles were eligible for review (2 systematic reviews and 14 articles of 13 primary studies). Four studies were randomized controlled trials and the remainder were pre-post studies. Two studies were performed in Argentina, one each was performed in Taiwan, Canada and Germany, and the rest were performed in the United States. Six studies were single site studies, and the remainder were multisite. Almost all studies were conducted in academic teaching hospitals and assessed physician-to-physician handoffs. Two systematic reviews and two new original research studies (one a randomized controlled trial) provided low-certainty evidence that use of the SBAR tool (situation, background, assessment, recommendation) can improve patient safety clinical outcomes. Ten studies (of 9 implementations; 2 studies were randomized controlled trials) provided moderate-certainty evidence that the I-PASS tool (illness severity, patient summary, action list, situation awareness and contingency plans, and synthesis to receiver) can improve patient safety clinical outcomes. Many co-interventions and implementation strategies are used in conjunction with the I-PASS mnemonic. No multisite evidence was found for any other structured handoff tool.
Conclusions:
Use of the structured handoff tool I-PASS probably improves patient clinical outcomes and use of the SBAR tool may improve patient clinical outcomes, with I-PASS having a stronger certainty of evidence. Data come primarily from academic teaching hospitals, and the usefulness of any tool in nonacademic teaching settings is understudied.
1. Background and Purpose
The Agency for Healthcare Research and Quality (AHRQ) Making Healthcare Safer (MHS) reports consolidate information for healthcare providers, health system administrators, researchers, and government agencies about patient safety practices (PSPs) that can improve patient safety across the healthcare system—from hospitals to primary care practices, long-term care facilities, and other healthcare settings. In spring 2023, AHRQ launched its fourth iteration of the MHS Report (MHS IV).
The topic of handoff protocols was identified as high priority for inclusion in the MHS IV reports using a modified Delphi technique by a Technical Expert Panel (TEP) that met in December 2022. The TEP included 15 experts in patient safety with representatives of governmental agencies, healthcare stakeholders, clinical specialists, experts in patient safety issues, and a patient/consumer perspective. See the MHS IV Prioritization Report for additional details. In the prioritization process, the MHS IV TEP defined the scope of handoffs to “intrahospital transitions.”
1.1. Overview of the Patient Safety Practice
The handoff (sometimes called handover) of patient care from one clinician to another has been defined as “a standardized method for transferring information, along with authority and responsibility, during transitions in patient care.”1 There is no single patient safety outcome metric used to assess the effectiveness of handoffs. As noted by Robertson and colleagues, “handover failures typically contribute to a cascade of failures involved in adverse outcomes, rather than being sole causes, making the estimation and investigation of handover-derived harms difficult.”2 Nevertheless, poor communication, including poor communication during a handoff, is one of the most common contributors to causes of medical errors, according to The Joint Commission (TJC). TJC reports that communication failures in U.S. hospitals were responsible at least in part for 30 percent of all malpractice claims and more than 1,700 deaths over 5 years.3 Improving handoffs has been a TJC National Patient Safety Goal since 2006. TJChas advocated the use of structured protocols to improve handoffs.
It is postulated that handoff protocols prevent or mitigate harms by improving the communication about important aspects of a patient’s care between the clinician turning over responsibility for the patient to the clinician accepting responsibility. Every article included in this review stated that the problem the handoff protocol was meant to address was communication, miscommunication, poor communication, etc.
The earliest editions of Making Healthcare Safer did not focus on handoffs but discussed them as a component of other patient safety topics. In Making Healthcare Safer II, handoffs were discussed in Team Training and Limiting Provider’s Hours of Service.4 In Making Healthcare Safer III, handoffs were discussed in “Cross-cutting PSPs”:5 Three studies of handoff protocols were reviewed, two of which reported on provider satisfaction, knowledge, skills and attitudes but not on patient safety outcomes. The one study that reported patient outcomes found statistically insignificant differences (measured in seconds) in the time to place patients on a ventilator or a monitor when a standardized handoff tool was used during patient transfers from the operating room to the surgical ICU.
1.1.1. Differences in Types of Transitions
Transitions in care, such as from the emergency room to the inpatient setting, or from the Intensive Care Unit to the general medical-surgical floor, or from the post-anesthesia recovery area to the general floor, have long been recognized as handoffs in need of structure and protocols, with original research studies and systematic reviews of original research studies available.6–13 These “between unit” handoffs have been recognized as having features distinct from “within unit” handoffs.14 For example, what triggers the transition in the former is a change or evolution in patient illness trajectory such that the patient needs a different type of care, whereas in the latter the handoff is regularly triggered by change of shift. Additionally, between-unit handoffs involve an entirely new team and different modes of care, whereas within-unit handoffs are about temporal boundaries in a shift. Thus, there are conceptual differences between the two kinds of handoffs. There are more published reviews for between-unit handoffs than within-unit handoffs, making the latter a prime opportunity for a rapid review to add to the knowledge about structured handoffs. Adding to the need for such a review is that the frequency of within-unit handoffs is increasing due to duty hour restrictions.15
We started with two recent review articles on healthcare handoffs.16, 17 We also reviewed information from TJC3 and a list of handoff tools from Pediatrics vol 135.18 To this we added our own search for structured handoff protocols on AHRQ’s Patient Safety Network (PSNet). From these 4 sources we identified these 12 structured handoff tools as appearing on the most lists or having published research on PSNet and therefore chose these as targets for this review:
- IMIST-AMBO (identification/introduction, mechanism of injury/medical complaint, injuries/information related to complaint, signs and symptoms, treatment given/trends noted, allergies, medications, background history, other information)
- I-PASS (illness severity, patient summary, action list, situational awareness, synthesis by receiver)
- ICATCH (identify patient, characterize situation, action—what was done overnight, to do for the team in the morning, confirm the handoff)
- Prep 4 C’s (preparation, contact, communicate, closing the loop, conclusion)
- SBAR (situation, background, assessment, recommendation)—note there are several variants of this, such as ISBAR and SBARR)
- Safer Sign Out
- Patient Handoff Toolkit
- Targeted Solutions Tool—The Joint Commission Center for Transforming Healthcare’s targeted solution tool
- PSYCH (patient information, situation leading to hospitalization, your assessment, critical information, and hindrance to discharge)
- ABC of Handover
- HANDOFFS (hospital location, allergies/adverse reactions, name, do not resuscitate (DNR), ongoing problems, facts about this hospitalization, follow up on. . ., scenarios)
- SIGNOUT? (sick or DNR, identifying data, general hospital course, new events of the day, overall health status, upcoming possibilities with plan/rationale, tasks to complete overnight with plan/rationale, any questions)
One of these tools, SBAR has an existing systematic review published in 2018.19 No systematic reviews specific to the other tools were identified. A review protocol was published in 2018 on the I-PASS tool,20 but no review has been published in the intervening 6 years.
In the prioritization process, the MHS IV TEP did not offer any additional comments.
1.2. Purpose of the Rapid Review
The purpose of this rapid review is to assess the effectiveness of “within-unit” structured handoff protocols on patient safety outcomes for inpatients.
1.3. Review Question
Based on the evidence published during the included dates, how effective are handoff protocols, and what are the unintended effects?
1.4. Contextual Questions
- What are common barriers and facilitators to implementation of handoff protocols?
- What resources (e.g., cost, staff, time) are required for implementation of handoff protocols?
- What toolkits are available to support implementation of handoff protocols?
2. Methods
We followed rapid review processes of the Agency for Healthcare Research and Quality (AHRQ) Evidence-based Practice Center (EPC) Program.21 We registered the protocol for this rapid review in PROSPERO (registration number CRD42024576324).
For this rapid review, strategic adjustments were made to streamline traditional systematic review processes and deliver an evidence product in the allotted time. Adjustments included being as specific as possible about the questions, limiting the number of databases searched, modifying search strategies to focus on finding the most valuable studies (i.e., being flexible on sensitivity to increase the specificity of the search), and restricting the search to studies published in the last 10 years (2013 to June/July 2024) in English, and having each study assessed by a single reviewer. For this report, we used the artificial intelligence (AI) feature of DistillerSR (AI Classifier Manager) as a second reviewer at the title and abstract screening stage.
We searched for recent high quality systematic reviews as defined by the U.S. Preventive Services Task Force and relied primarily on the content of any such systematic reviews that were found. We did not perform an independent assessment of original studies cited in any such systematic review.
For a recent eligible systematic review, the primary reviewer used the criteria developed by the U.S. Preventive Services Task Force Methods Workgroup22 for assessing the quality of systematic reviews:
- Good—Recent relevant review with comprehensive sources and search strategies, explicit and relevant selection criteria, standard appraisal of included studies, and valid conclusions.
- Fair—Recent relevant review that is not clearly biased but lacks comprehensive sources and search strategies.
- Poor—Outdated, irrelevant, or biased review without systematic search for studies, explicit selection criteria, or standard appraisal of studies.
For Contextual Questions 1 (rationale), 2 (barriers and facilitators), and 3 (resources), we extracted information reported in the studies addressing the main Review Question. For contextual question 4, we searched publicly available patient safety toolkits developed by AHRQ or other organizations that could help to support implementation of the PSPs. To accomplish that task, we reviewed PSNet (https:/psnet.ahrq.gov) and AHRQ’s listing of patient safety related toolkits (https://www.ahrq.gov/tools/index.html?search_api_views_fulltext=&field_toolkit_topics=14170&sort_by=title&sort_order=ASC), and we included any toolkits mentioned in the studies we found for the Review Question. We identified toolkits without assessing or endorsing them.
The draft report will undergo a peer review process. The report will then be revised to address any comments before being finalized.
2.1. Eligibility Criteria
We searched for original studies and systematic reviews on the Review Question according to the inclusion and exclusion criteria presented in Table 1.
Table 1
Inclusion and Exclusion Criteria.
2.2. Literature Searches
We searched PubMed, EMBASE, PSNet, and CINAHL, supplemented by a narrowly focused search for unpublished reports that are publicly available from governmental agencies or professional societies having a strong interest in the topic. As this topic has not been discussed in detail in prior editions of MHS, we expanded our search to the past 10 years (Jan. 2013 to June/July 2024). For details of the search strategy, see Appendix A.
2.3. Data Extraction
We used the AI feature of DistillerSR (AI Classifier Manager) as a semi-automated screening tool to conduct the review efficiently at the title and abstract screening stage. A single team member screened the title and abstract of each citation based on predefined eligibility criteria (Table 1), and then the AI Classifier Manager served as a second reviewer of each citation. The threshold for the AI Classifier to include citations was set at a ranking score of 0.5 or above. The ranking score is generated by the AI algorithm to determine the likelihood of inclusion based on a training set of titles and abstracts screened by the team member first. All titles and abstracts with lower predicted probability were rejected, but a 10 percent sample was manually reviewed to confirm this.
A reviewer extracted available information and included author, year, study design, frequency and severity of the harms, measures of harm, characteristics of the PSP, rationale for the PSP, outcomes, unintended consequences, implementation barriers and facilitators, required resources, and description of toolkits. To streamline data extraction, we sorted eligible studies by handoff protocol (for example, if the same tool is the subject of more than one study), and focused on extracting information about characteristics, outcomes, and barriers/facilitators most pertinent to a specific tool. Dual data extraction was not done.
2.4. Risk of Bias Assessment
For studies that addressed the Review Question about the effectiveness of PSPs, the primary reviewer used the Cochrane Collaboration’s tool for assessing the risk of bias of randomized controlled trials (RCTs). There are seven items in the Cochrane Collaboration’s tool that cover the domains of selection bias, performance bias, detection bias, attrition bias, reporting bias, and other bias.23 For nonrandomized studies, we had planned to use specific items in the ROBINS-I tool that assess bias due to confounding, bias in selection of participants into the study, bias in classification of interventions, bias due to deviations from intended interventions, bias due to missing data, bias in measurement of outcomes, and bias in selection of the reported results.24 As it turned out, we did not identify any eligible studies for which the ROBINS-I tool was appropriate. For pre-post studies we used a modification of the NIH tool for such studies.25 The risk of bias assessments focused on the main outcome of interest in each study.
2.5. Data Synthesis
All eligible primary studies of effectiveness were entered into an evidence table. We narratively summarized findings across systematic reviews and across primary studies. We did not conduct a meta-analysis. To be included in the synthesis, a structured handoff tool needs to be assessed in more than one study or setting (i.e., a single study with multiple sites of different type would be included). As these kinds of organizational changes are known to be context-dependent, if there is only one study in one context, it is impossible to assess the effect of the tool across contexts.
For the Review Question about the effectiveness of PSPs, we recorded information about the context of each study and whether the effectiveness of the PSP differs across patient subgroups. If any of the PSPs had more than one study of effectiveness, we graded the strength of evidence for those PSPs using the methods outlined in the AHRQ Effective Health Care Program (EHC) Methods Guide for Effectiveness and Comparative Effectiveness Reviews,26 as modified using criteria from Making Health Care Safer II27 and from the National Academy of report on Public Health Emergency Preparedness.28, 29 Evidence grading would not add value for PSPs that do not have more than one available study. We reported if the effectiveness of the PSP differed across patient subgroups or settings, but did not conduct subgroup analyses.
3. Evidence Base
3.1. Included Studies
Our search retrieved 789 unique titles and abstracts from which we reviewed 108 full-text articles. We found 16 articles (2 systematic reviews and 13 primary studies published in 14 publications) that met our eligibility criteria (Figure 1).19, 30–44 A listing of studies excluded during full-text review is included in Appendix B. Information abstracted from each included primary study is provided in Table 1.

Figure 1
Results of the search and screening.
3.2. Findings
Our literature search identified 19 systematic reviews. However, seven reviews are outdated (i.e., greater than 10 years from publication),2, 45–50 two are more narrowly focused than our scope,11, 51 eight are more broadly focused than our scope in terms of interventions or methods (such as integrative reviews),12, 52–58 and/or reached inconclusive results.
The two most relevant to our scope, Muller et al., 2018 and Lo et al., 2021, are discussed in the section about SBAR.19, 44
3.2.1. Review Question: Based on the Evidence Published During the Included Dates, How Effective are Handoff Protocols, and What Are the Unintended Effects?
This review identified 13 studies published in 14 publications.30–43 Four of the included studies were randomized trials32, 35, 41, 43 while the remainder were pre-post studies; two studies were performed in Argentina,31, 32 one each were performed in Taiwan,42 Canada,41 and Germany,43 and the rest were performed in the United States. Six studies were performed at multiple sites, and the rest were single site studies. The most commonly studied handoff tool was I-PASS, in either its original or modified form (or precursor), which was the subject of 10 studies, with 2 studies of SBAR or its derivatives,42, 43 and 1 study of iHAND and SIGNOUT?.41 Most studies were conducted in academic teaching hospitals, and almost all studies assessed physician-to-physician handoffs. Most studies had numerous cointerventions/implementation strategies.
3.2.1.1. Risk of Bias
Four of the included studies were randomized trials.32, 35, 41, 43 No trial was judged to be at low risk of bias in all domains. However, the domain of blinding participants is very challenging to satisfy for this kind of intervention. Although studies are scored as high risk of bias for this domain, we did not place much weight on this assessment when considering the internal validity of the randomized trials. The remaining studies used a pre-post design. In assessing these studies, for the domain of delivering the intervention consistently across the study population, we considered any deviations to be a measure of real-world implementation and not a measure of internal validity. Thus all studies scored well on this domain. Although the pre-post studies all scored well using the modified NIH Tool (except for 2 studies with very small sample sizes), our assessment of their risk of bias remains high due to the inherent limitations of the study design. The risk of bias ratings for each study are listed in Appendix C.
3.2.1.2. Results for Specific Handoff Tools
3.2.1.2.1. SBAR (Situation, Background, Assessment, Recommendation) and Its Derivatives
We identified one good-quality systematic review about the impact of the use of SBAR for patient handoffs on patient safety.19 This review searched through January 2017 for studies focused on SBAR implementation into the clinical routine (and not a multidimensional QI intervention of which SBAR was just 1 component) with at least one clinical outcome reported. The systematic review identified 11 records: 8 pre-post studies and 1 RCT. Seven studies were conducted in hospitals. Nurses were the clinicians in all included studies, while in 5 studies additional other staff also were trained in SBAR use. Some studies used SBAR specifically in handoffs, and some studies used SBAR for communication in general. In 3 of the 7 studies performed in hospitals, SBAR was used only in a single unit. All studies assessed use of SBAR by nurses, but 5 studies included other clinicians such as physicians. The outcomes assessed were a heterogenous mixture of specific events like falls or patient mortality and composite outcomes such as “sentinel events” or “adverse patient events.” The synthesis of results was narrative. The authors stated that “five of the studies found significantly improved patient safety outcomes” and “four other studies reported descriptive improved patient outcomes,” and concluded that there is the potential for SBAR to “improve telephone communication from nurse to doctors in critical situations, general patient handoff, [and] team communication in general.” But the authors noted that the quality of evidence was low and no benefit was observed in one-third of studies.
We identified a related good quality systematic review about SBAR.44 Although the review is not focused on clinical efficacy, we discuss it here for the purpose of continuity. The systematic review assessed the degree to which SBAR can be implemented with high fidelity. It searched through October 2020 for studies where SBAR was taught to structure verbal communication between healthcare providers or trainees, used a controlled trial design, and reported any of the outcomes of fidelity to SBAR, clarity of communication, clinical outcomes, or measures such as teamwork and patient safety climate. The authors identified 28 eligible studies. Most studies were conducted in hospital general or surgical wards or post-anesthesia care units, 15 were studies where SBAR was used for handoffs, and almost 75 percent involved nurses. Ten studies reported on a heterogenous mix of clinical outcomes such as mortality, unplanned ICU admissions, adverse events, readmissions, and urinary catheter removal. As the authors state, “Unfortunately, none of these studies also assessed communication clarity or fidelity.” The authors found that studies of SBAR implementation reporting large improvements in fidelity all occurred in classroom settings, and studies in clinical settings reported only small-to-moderate improvements. The authors concluded that “if organizations want to achieve the intended impact of SBAR, they need to attend to its implementation and ongoing monitoring.”
Two new research studies of SBAR or its variants were identified. One study was a pre-post study of nurse-to-physician communication in an obstetric ward in Taiwan,42 and thus of only limited relevance to this review’s focus on within-unit handoffs. The other study was an RCT in Germany that assessed the SBAR variant ISBAR3 (Identification, Situation, Background, Assessment, Recommendation, Read-back, Risk)43 in 7 ICU wards. The ISBAR3 checklist was delivered as an iPad Mini application. Physicians received “brief instructions for using the tablets” and were instructed to use the checklists as an aid during shift-to-shift transfers, which took place twice a day. Control time periods involved use of the iPad but with a different checklist—VICUR (vaccination status, insurance status, contact person, utilization, rehabilitation)—to help minimize Hawthorne effects. During the time periods of the study, there were 1,038 admissions to the ICU that met the inclusion criteria, and they were cared for by 61 physicians (61% of these were residents). Compared to control, there was no statistically significant difference in the 3 clinical outcomes: mortality, length of stay, and reuptake (readmission) to the ICU. Patients cared for during the ISBAR3 time period had better sepsis-related organ failure assessments during the first 24 hours. The authors concluded that “medical handovers are a burning issue. . . the present pilot study illustrates the complexity of the topic and shows both the potential and pitfalls concerning outcome parameters. . .”
3.2.1.2.2. I-PASS (Illness Severity, Patient Summary, Action List, Situation Awareness and Contingency Plans, and Synthesis to Receiver)
We identified 10 studies about 9 implementations of I-PASS or modifications.30–36, 38–40 We also include one study37 here based on SIGNOUT? as it was the precursor study to I-PASS. The I-PASS Handoff Bundle as described in its landmark study39 consisted of the mnemonic, which serves as the anchoring component for all else and a number of implementation techniques and strategies. These included a 2-hour workshop (part of which was devoted to Team Strategies, and Tools to Enhance Performance and Safety (TeamSTEPPS)), a 1-hour role-playing and simulation session, a computer module for use in independent learning, a faculty development program, direct-observation tools for use by faculty to provide feedback, and a culture-change campaign. In the precursor study,37 the mnemonic used was SIGNOUT? (SIGNOUT? is a mnemonic for Sick or DNR?, Identifying data, General hospital course, New events of day, Overall health status, Upcoming possibilities with plan, Tasks to complete overnight with plan, ? Any questions). The precursor bundle included relocation of the handoff to a private and quiet space and the restructuring of separate house staff handoffs into a unified team handoff, but did not include a faculty development program, tools, or the culture change campaign.
The precursor intervention was implemented in a pre-post study in two general pediatric wards in a pediatric residency program teaching hospital.37 (Starmer 2013). The handoffs were shift-to-shift changes of physicians, both interns and residents. The outcomes were medical errors (defined as a failure in process of care) and adverse events (defined as preventable and nonpreventable unintended consequences of care that lead to patient harm). Error reports from clinicians and formal incident reports were solicited daily. Each suspected incident was reviewed by physician investigators blinded to intervention status. Among 1,255 patient admissions (almost evenly balanced between the pre- and post-intervention periods), the overall medical error rate reduced from 33.8 errors per 100 admissions to 18.3 errors per 100 admissions (p<0.001). Preventable adverse events decreased from 3.3 per 100 admissions to 1.5 per 100 admissions (p=0.04). Other measures of harmful and nonharmful errors also decreased. Written handoff documentation increased markedly overall, but one unit, which used a computerized handoff tool, substantially outperformed the other unit.
The same investigators (Starmer 2014) then revised their mnemonic to I-PASS, added the faculty components and culture change campaign, and conducted a pre-post study in 9 pediatric residency training programs.39 Outcomes were medical errors and adverse events. Among 5,516 preintervention and 5,224 postintervention admissions medical errors reduced from 24.5 per 100 admissions preintervention to 18.8 per 100 admissions post intervention (p<0.001). Preventable adverse events decreased from 4.7 per 100 admissions to 3.3 per 100 admissions (p<0.001). Other measures of harm declined, but the rate of falls, medication errors, procedure-related errors, or nosocomial infections did not change. Three sites did not find statistically significant reductions in errors, and one site found more errors after implementation. Written handoff documentation greatly increased in almost all domains.
Eight additional I-PASS studies were subsequently conducted, adapting it for use in orthopedics,40 in palliative care,31 in the intensive care unit,32, 35 to include a daily “rounds report” for families,33, 34 to be implemented as part of the EHR and/or in family medicine residency inpatient units,30, 36 and a broader study of implementation conducted by the original I-PASS investigator.38 Not all of these studies reported statistically significant effects of the intervention on clinical safety outcomes. Some studies did not use the same outcome measures as the original I-PASS study, and other clinical safety outcomes (e.g., 30-day readmission, surgical site infection, reintubations within 24 hours) may not be as sensitive as the outcomes used in the original I-PASS studies. The benefits of I-PASS have not been as convincingly demonstrated in implementation studies outside the original development team.59
3.2.1.2.3. Other Handoff Tools
We identified one study on the iHAND handoff tool,41 but since it was the only study of this tool and it was a single-site study, we do not discuss it in detail here, as it is not possible to consider tool intervention effects separate from context effects. Data about the study are in the Evidence Table (Table 2). We did not find any studies of any of the other structured tools.
3.2.1.2.4. Certainty of Evidence
We judged the certainty of evidence that the use of I-PASS reduces medical errors and adverse events as moderate, uprated from low (based on study design) due to use of theory/logic models, the beneficial effect of similar interventions in other areas of public safety (such as air travel), assessments of context, and reporting of implementation process (see Appendix Table C-3). We agreed with the systematic review on SBAR that the certainty/quality of evidence for the effect of SBAR on those same outcomes is low. No other tool had sufficient evidence to assess.
Table 2
Evidence table of primary studies included.
3.2.1.3. Common Barriers and Facilitators to Implementation of Handoff Protocols
Most of the included studies did not specifically comment on barriers and facilitators. Two studies cited resistance to change as a barrier,32 and education and monitoring, prompt responses to questions, and use of a resident champion in leadership as facilitators.40 The amount of time needed for the handoff (using as compared to not using the handoff tool) may also be a potential barrier, as several studies also measured this as an outcome (studies showed negligible or even no differences in time).
3.2.1.4. Resources (Such as Cost, Staff, Time) Required for Implementation of Handoff Protocols
No studies reported specific information about resources required for implementation. However, several studies report in great detail the other co-intervention or implementation strategies used when implementing the handoff protocol,32–34, 37–39 and these are recorded in the evidence table. These are best described for the I-PASS tool, such that they are considered part of the intervention and include multiple and repeated trainings, role play, medical faculty education, direct observation, culture-change campaign, and use of clinical champions.
3.2.1.5. Toolkits To Support Implementation of Handoff Protocols
We found several published studies on I-PASS toolkits.30–33, 35–40 In addition, there is the I-PASS Institute (www.ipassinstitute.com) that contains links to tools.
Table 3 lists our internet search results on the other 11 patient handoff communication tools specified in the inclusion criteria.
Table 3
Toolkits results.
4. Discussion
4.1. Summary and Interpretation of Findings
This review found that while there are numerous structured handoff tools that have been proposed for use, there are only two tools that have been the subject of more than one study assessing its effectiveness at improving patient safety for within-unit handoffs. Those two tools are SBAR and I-PASS. Based on the evidence from the two systematic reviews and additional new research studies of SBAR, we agree with the SR conclusions that “there is some evidence of the effectiveness of SBAR implementation on patient outcome” but that implementing SBAR with fidelity is hard, and the certainty/quality of evidence is low. We judged the certainty of evidence supporting the effectiveness of I-PASS as stronger than the evidence supporting SBAR, primarily due to the large, multicenter studies of use of I-PASS. The evidence supporting the effect of I-PASS use on clinical outcomes comes almost entirely from the developers, but implementation studies conducted in other settings and using study designs of stronger internal validity more often showed no benefits in clinical outcomes.59 However, the clinical outcomes assessed in these studies were likely much less sensitive than the medical errors outcomes used in the I-PASS developers’ studies, and not all the implementation tools, such as teaching TeamSTEPPS, may have been included. That, combined with the very strong theoretic rationale for why a structured handoff tool should be effective, the repeated demonstration that the use of I-PASS increases the quality of information handed off (data presented in some included clinical outcome studies), and the studies of implementation in numerous contexts leads to our assessment that the certainty of evidence for use of I-PASS is moderate.
Structured tools for within-unit handoffs were not discussed in isolation in prior versions of MHS.
4.2. Limitations
This review is subject to the usual limitations of all such reviews: limitations in the source material and limitations in how we performed the review. The biggest limitation in the source material is the reliance on pre-post studies (meaning many at high risk of bias) for most of the evidence. Randomized trials are few. For I-PASS there were only two randomized trials, and neither found a statistically significant effect on patient clinical outcomes, albeit many of these were relatively insensitive (e.g., length of stay, preventable deaths). Another limitation is that nearly all studies are conducted in academic training programs and thus could impact generalizability of these results to nonacademic settings.
Limitations to the rapid review format also require streamlining certain steps, so we searched only a limited number of databases and used a single reviewer. However, we used the AI function of Distiller as a check on the selection of titles for further review, and the single reviewer who performed the work has more than 30 years’ experience in systematic reviews.
4.3. Implications for Clinical Practice and Future Research
Handoffs are a weak link in the chain of clinical care of inpatients. Within-unit handoffs are increasing in frequency due to changes in duty hours. There are strong rationales for standardizing the reporting of critical information between providers, and such practices have been adopted by other industries, like airline safety, for communication between pilots, cockpit crew, and air traffic control. Of the plethora of structured handoff tools proposed, I-PASS is the tool that has the strongest certainty of evidence in reducing medical errors and also has the most developed set of implementation strategies and tools. Future studies should focus on improving the content in handoff tools and use in other mediums such as mobile devices. Future studies should assess multisite implementation, stronger study designs and/or methods, and understanding its use in other setting types. Lastly, this is an area ripe for studies of artificial intelligence and machine learning predictive analytics to identify the sicker patients who many need more support and better handoffs.
5. References
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Acknowledgments
The authors would like to thank Ellen S. Deutsch, M.D., M.S., FACS, FAAP, FSSH, and Karen Cosby, M.D., FACEP, CPPS, for their review and input on the report.
Peer Reviewers
The list of peer reviewers follows:
- Vineet Arora, M.D., M.A.P.P.Herbert T. Abelson Professor of MedicineDean for Medical Education, The Pritzker School of MedicineUniversity of ChicagoChicago, IL
- Lekshmi Santhosh, M.D., M.A.Ed.Department of Medicine Associate Chair for People Development and MentorshipAssociate Professor of Clinical Medicine, Pulmonary and Critical Care and Hospital MedicineAssociate Program Director, Pulmonary and Critical Care FellowshipAssociate Program Director, Internal Medicine ResidencyDirector, Department of Medicine Medical Grand RoundsGold-Headed Cane Endowed Education Chair in Internal MedicineUniversity of California, San FranciscoSan Francisco, CA
- Sallie Weaver, Ph.D., M.H.S.Senior Scientist and Program DirectorHealth Systems and Interventions Research BranchNational Cancer InstituteBethesda, MD
Afterword
Recognized for excellence in conducting comprehensive systematic reviews, the Agency for Healthcare Research and Quality (AHRQ) Evidence-based Practice Center (EPC) Program is developing a range of rapid evidence products to assist end users in making specific decisions in a limited timeframe. AHRQ recognizes that people are struggling with urgent questions on how to make healthcare safer. AHRQ is using this rapid format for the fourth edition of its Making Healthcare Safer series of reports, produced by the EPC Program and the General Patient Safety Program. To shorten timelines, reviewers make strategic choices about which processes to abridge. However, the adaptations made for expediency may limit the certainty and generalizability of the findings from the review, particularly in areas with a large literature base. Transparent reporting of the methods used and the resulting limitations of the evidence synthesis are extremely important.
AHRQ expects that these rapid evidence products will be helpful to health plans, providers, purchasers, government programs, and the healthcare system as a whole. Transparency and stakeholder input are essential to AHRQ. If you have comments related to this report, they may be sent by mail to the Task Order Officer named below at: Agency for Healthcare Research and Quality, 5600 Fishers Lane, Rockville, MD 20857, or by email to vog.shh.qrha@SHM.
- Robert Otto Valdez, Ph.D., M.H.S.A.DirectorAgency for Healthcare Research and Quality
- Therese Miller, D.P.H.DirectorCenter for Evidence and Practice ImprovementAgency for Healthcare Research and Quality
- Christine Chang, M.D., M.P.H.DirectorEvidence-based Practice Center DivisionCenter for Evidence and Practice ImprovementAgency for Healthcare Research and Quality
- David W. Niebuhr, M.D., M.P.H., M.Sc.Evidence-based Practice Center Division LiaisonCenter for Evidence and Practice ImprovementAgency for Healthcare Research and Quality
- Craig A. Umscheid, M.D., M.S.DirectorCenter for Quality Improvement and Patient SafetyAgency for Healthcare Research and Quality
- Margie Shofer, B.S.N., M.B.A.Director, General Patient Safety ProgramCenter for Quality Improvement and Patient SafetyAgency for Healthcare Research and Quality
- Farzana Samad, Pharm.D., FISMP, CPPSHealth Scientist AdministratorCenter for Quality Improvement and Patient SafetyAgency for Healthcare Research and Quality
Appendix A. Methods
Search Strategy
Databases:
- ▪
PubMed (NLM/NIH)
- ▪
Embase (Clarivate)
- ▪
CINAHL Plus with Full Text (EBSCOhost)
Limits:
- ▪
Years: 2013–2024
- ▪
Language: English
- ▪
Geographic: US + International
- ▪
Publication Type: Peer-reviewed literature
Table A-1PubMed search strategy
| Set # | Search | # of Results |
|---|---|---|
| 1 | (physician*[tiab] OR doctor*[tiab] OR clinician*[tiab] OR “medical staff*”[tiab] OR “clinical staff*”[tiab] OR practitioner*[tiab] OR “physician nurse”[tiab:∼1] OR hospitalist*[tiab] OR “shift to shift*”[tiab] OR “Physicians”[Mesh] OR “Patient Care Team”[Mesh:NoExp] OR “Medical Staff, Hospital”[Mesh]) | 1,221,118 |
| 2 | (handover*[tiab] OR “hand over*”[tiab] OR handoff*[tiab] OR “hand off*”[tiab] OR signout*[tiab] OR “sign out*”[tiab] OR “signover*”[tiab] OR “sign over*”[tiab] OR “shift report*”[tiab] OR “bedside report*”[tiab] OR “Patient Handoff”[Mesh]) | 6,486 |
| 3 | “patient safety”[tiab] OR safe*[ti] OR “patient harm*”[tiab] OR “Patient Safety”[Mesh] OR “Patient Harm”[Mesh] | 263,780 |
| 4 | checklist*[tiab] OR “check list*”[tiab] OR guideline*[tiab] OR intervention*[tiab] OR practice[tiab] OR practices[tiab] OR protocol*[tiab] OR policy[tiab] OR policies[tiab] OR path*[tiab] OR standard[tiab] OR standards[tiab] OR standardization[tiab] OR standardisation[tiab] OR “structured approach*”[tiab] OR tool*[tiab] OR “tool kit*”[tiab] OR “Communication Barriers”[Mesh:NoExp] OR “Checklist”[Mesh] OR “Practice Guidelines as Topic”[Mesh] OR “Practice Guideline”[pt] OR (IPASS*[tiab] NOT Iressa[tiab]) OR “I PASS*”[tiab] OR ICATCH*[tiab] OR SBAR*[tiab] OR ISBAR*[tiab] OR SHARQ[tiab] OR PATH[tiab] OR “handover algorithm”[tiab:∼2] OR “handover algorithms”[tiab:∼2] OR “hand over algorithm”[tiab:∼2] OR “hand over algorithms”[tiab:∼2] OR “handoff algorithm” [tiab:∼2] OR “handoff algorithms”[tiab:∼2] OR “hand off algorithm”[tiab:∼2] OR “hand off algorithms”[tiab:∼2] OR “Safer Sign Out”[tiab] | 8,721,274 |
| 5 | #1 AND #2 AND #3 AND #4 | 460 |
| 6 | Address[pt] OR Autobiography[pt] OR Bibliography[pt] OR Biography[pt] OR “Clinical Trial Protocol”[pt] OR “Clinical Trial, Veterinary”[pt] OR “Collected Work”[pt] OR Comment[pt] OR Congress[pt] OR “Consensus Development Conference”[pt] OR “Consensus Development Conference, NIH”[pt] OR Dataset[pt] OR Dictionary[pt] OR Directory[pt] OR “Duplicate Publication”[pt] OR Editorial[pt] OR “Electronic Supplementary Materials”[pt] OR “Equivalence Trial”[pt] OR “Expression of Concern”[pt] OR Festschrift[pt] OR “Historical Article”[pt] OR “Interactive Tutorial”[pt] OR Interview[pt] OR “Introductory Journal Article”[pt] OR Lecture[pt] OR “Legal Case”[pt] OR Legislation[pt] OR Letter[pt] OR News[pt] OR “Newspaper Article”[pt] OR “Observational Study, Veterinary”[pt] OR Overall[pt] OR “Patient Education Handout”[pt] OR “Periodical Index”[pt] OR “Personal Narrative”[pt] OR Portrait[pt] OR Preprint[pt] OR “Published Erratum”[pt] OR “Randomized Controlled Trial, Veterinary”[pt] OR “Retracted Publication”[pt] OR “Retraction of Publication”[pt] OR “Twin Study”[pt] OR “Video-Audio Media”[pt] OR Webcast[pt] OR Proceedings[ti] | 3,340,312 |
| 7 | #5 NOT #6 | 455 |
| 8 | #7 AND (2013/1/1:2024/12/31[pdat]) AND (english[Filter]) | 353 |
| 9 | “systematic review”[ti:∼3] OR “systematic reviews”[ti:∼3] OR ((systematic[tiab] OR scoping[tiab]) AND review[pt]) OR “systemic review*”[ti] OR “systematical review*”[ti] OR “meta analy*”[tiab] OR metaanaly*[tiab] OR metasynthes*[tiab] OR “meta synthes*”[tiab] OR ((systematic[ti] OR scoping[ti] OR metanaly*[ti] OR metasynth*[ti] OR “meta analy*”[ti] OR “meta synth*”[ti] OR evidence[ti] OR Cochrane[ti] OR literature[ti]) AND (review*[ti] OR synthes*[ti] OR map[ti] OR mapping[ti])) OR “systematic review”[pt] OR “systematic review”[sb] OR meta-analysis[pt] OR “literature review”[ti:∼2] OR “rapid review”[ti:∼2] OR “umbrella review”[ti:∼2] OR “evidence review*”[ti] OR “scoping review*”[ti] OR “literature scan*”[ti] OR “Systematic Reviews as Topic”[Mesh] OR “Meta-Analysis as Topic”[MeSH] OR “Review Literature as Topic”[MeSH] | 735,436 |
| 10 | #8 AND #9 | 18 |
Table A-2Embase search strategy (Limited to Embase records only, MEDLINE records excluded)
| Set # | Search | # of Results |
|---|---|---|
| 1 | (physician*:ti,ab OR doctor*:ti,ab OR clinician*:ti,ab OR ‘medical staff*’:ti,ab OR ‘clinical staff*’:ti,ab OR practitioner*:ti,ab OR ‘physician NEAR/1 nurse’:ti,ab OR hospitalist*:ti,ab OR ‘shift to shift*’:ti,ab OR physician/exp OR ‘patient care team’/de OR ‘medical staff’/de) AND [embase]/lim | 1,713,743 |
| 2 | (handover*:ti,ab OR ‘hand over*’:ti,ab OR handoff*:ti,ab OR ‘hand off*’:ti,ab OR signout*:ti,ab OR ‘sign out*’:ti,ab OR signover*:ti,ab OR ‘sign over*’:ti,ab OR ‘shift report*’:ti,ab OR ‘bedside report*’:ti,ab OR ‘clinical handover’/de) AND [embase]/lim | 8,694 |
| 3 | (‘patient safety’:ti,ab OR safe*:ti OR ‘patient harm*’:ti,ab OR ‘patient safety’/exp OR ‘patient harm’/exp) AND [embase]/lim | 417,135 |
| 4 | (checklist*:ti,ab OR ‘check list*’:ti,ab OR guideline*:ti,ab OR intervention*:ti,ab OR practice:ti,ab OR practices:ti,ab OR protocol*:ti,ab OR policy:ti,ab OR policies:ti,ab OR path*:ti,ab OR standard:ti,ab OR standards:ti,ab OR standardization:ti,ab OR standardisation:ti,ab OR ‘structured approach*’:ti,ab OR tool*:ti,ab OR ‘tool kit*’:ti,ab OR ‘communication barrier’/de OR ‘checklist’/de OR ‘practice guideline’/de OR ipass:ti,ab OR ‘i pass*’:ti,ab OR icatch*:ti,ab OR sbar*:ti,ab OR isbar*:ti,ab OR sharq:ti,ab OR path:ti,ab OR ((handover* OR ‘hand over*’ OR handoff* OR ‘hand off*’) NEAR/2 algorithm*) OR ‘safer sign out’:ti,ab) AND [embase]/lim | 9,422,195 |
| 5 | #1 AND #2 AND #3 AND #4 | 746 |
| 6 | #1 AND #2 AND #3 AND #4 AND ([article]/lim OR [article in press]/lim OR [review]/lim) AND [english]/lim AND [2013–2024]/py | 174 |
| 7 | #1 AND #2 AND #3 AND #4 AND ([article]/lim OR [article in press]/lim OR [review]/lim) AND [english]/lim AND [2013–2024]/py AND ([cochrane review]/lim OR [systematic review]/lim OR [meta analysis]/lim) | 7 |
Individual Model Searches
Table A-3I-PASS search strategy (06/12/24)
| Database | Search Strategy | # of Results |
|---|---|---|
| PubMed | (“IPASS”[tiab] OR “I PASS”[tiab]) AND ((2013/1/1:2024/12/31[pdat]) AND (english[Filter])) | 86 |
| Embase | (ipass:ti,ab OR ‘i pass’:ti,ab) AND ([article]/lim OR [article in press]/lim OR [review]/lim) AND [english]/lim AND [embase]/lim AND [2013–2024]/py | 10 |
| Total # of de-duplicated results | 96 | |
Table A-4Other Models searches (07/05/23)
| Database | Search Strategy | # of Results |
|---|---|---|
| PubMed | (iMIST[tiab] OR “iMIST-AMBO”[tiab] OR DeMIST[tiab] OR “TeamSTEPPS”[tiab] OR “Team STEPPS”[tiab] OR “Targeted Solutions Tool”[tiab]) AND (2013/1/1:2024/12/31[pdat]) AND (english[Filter]) | 51 |
| Embase | (iMIST:ti,ab OR iMIST-AMBO:ti,ab OR DeMIST:ti,ab OR ‘TeamSTEPPS’:ti,ab OR ‘Team STEPPS’:ti,ab OR ‘Targeted Solutions Tool’:ti,ab) | 27 |
| Total # of de-duplicated results | 78 | |
Table A-5Remaining Models Search (07/12/24)
| Database | Search Strategy | # of Results |
|---|---|---|
| PubMed | (“PSYCH”[tiab] OR “PSYCH-PASS”[tiab] OR “ABC”[tiab]) AND (“handoff*” OR “handover*”[tiab] OR “hand off*” OR “hand over*”[tiab]) AND (2013/1/1:2024/12/31[pdat]) AND (english[Filter]) | 6 |
| Embase | (PSYCH:ti,ab OR PSYCH-PASS:ti,ab OR ABC:ti,ab) AND (handoff* OR handover*:ti,ab OR ‘hand off*’ OR ‘hand over*’:ti,ab) | 5 |
| Total # of de-duplicated results | 4 | |
Appendix B. List of Studies Excluded Upon Full-Text Review
- 1.
- Study: new approach to handoffs slashes errors, preventable adverse events; other medical centers move to implement the protocol. ED Manag. 2015 Jan;27(1):6–8. PMID: 25564696. Design [PubMed: 25564696]
- 2.
- Abraham J, Duffy C, Kandasamy M, et al An evidence synthesis on perioperative Handoffs: A call for balanced sociotechnical solutions. Int J Med Inform. 2023 Jun;174:105038. doi: 10.1016/j.ijmedinf.2023.105038. PMID: 36948060. Background [PubMed: 36948060] [CrossRef]
- 3.
- Abraham J, Pfeifer E, Doering M, et al Systematic review of intraoperative anesthesia handoff tools. Anesth Analg. 2021 Jun 1;132(6):1563–75. doi: 10.1213/ane.0000000000005367. PMID: 34032660. Anesthesia handoffs [PubMed: 34032660] [CrossRef]
- 4.
- Agency for Healthcare Research and Quality. TeamSTEPPS Updates. Rockville, MD; February 2024. https://www
.ahrq.gov /teamsteppsprogram/updated/index.html. Accessed on June 4, 2024. Does not measure clinical safety outcome - 5.
- Agency for Healthcare Research and Quality. Tool: Handoff. Rockville, MD; May 2023. https://www
.ahrq.gov /teamsteppsprogram/curriculum /communication/tools/handoff .html. Accessed on June 4, 2024. Does not measure clinical safety outcome - 6.
- Alimenti D, Buydos S, Cunliffe L, et al Improving perceptions of patient safety through standardizing handoffs from the emergency department to the inpatient setting: a systematic review. J Am Assoc Nurse Pract. 2019 Jun 5;31(6):354–63. doi: 10.1097/jxx.0000000000000160. PMID: 30829973. Between unit handoffs [PubMed: 30829973] [CrossRef]
- 7.
- Anderson J, Malone L, Shanahan K, et al Nursing bedside clinical handover - an integrated review of issues and tools. J Clin Nurs. 2015 Mar;24(5–6):662–71. doi: 10.1111/jocn.12706. PMID: 25319724. SR outdated [PubMed: 25319724] [CrossRef]
- 8.
- Appelbaum R, Martin S, Tinkoff G, et al Eastern association for the surgery of trauma -quality, patient safety, and outcomes committee - transitions of care: healthcare handoffs in trauma. Am J Surg. 2021 Sep;222(3):521–8. doi: 10.1016/j.amjsurg.2021.01.034. PMID: 33558061. Between unit handoffs [PubMed: 33558061] [CrossRef]
- 9.
- Appelbaum RD, Puzio TJ, Bauman Z, et al Handoffs and transitions of care: a systematic review, meta-analysis, and practice management guideline from the Eastern Association for the Surgery of Trauma. J Trauma Acute Care Surg. 2024 Feb 26. doi: 10.1097/ta.0000000000004285. PMID: 38407300. SR broadly focused [PubMed: 38407300] [CrossRef]
- 10.
- Bakon S, Wirihana L, Christensen M, et al Nursing handovers: an integrative review of the different models and processes available. Int J Nurs Pract. 2017 Apr;23(2). doi: 10.1111/ijn.12520. PMID: 28176414. SR broadly focused [PubMed: 28176414] [CrossRef]
- 11.
- Becker's Clinical Leadership. 12 patient handoff communication tools to know. Clinical Leadership & Infection Control. June 29, 2016. Does not measure clinical safety outcome
- 12.
- Benjamin MF, Hargrave S, Nether K. Using the Targeted Solutions Tool® to improve emergency department handoffs in a community hospital. Jt Comm J Qual Patient Saf. 2016 Mar;42(3):107–18. doi: 10.1016/s1553-7250(16)42013-1. PMID: 26892699. Outpatient [PubMed: 26892699] [CrossRef]
- 13.
- Blazin LJ, Sitthi-Amorn J, Hoffman JM, et al Improving patient handoffs and transitions through adaptation and implementation of I-PASS across multiple handoff settings. Pediatr Qual Saf. 2020 Jul-Aug;5(4):e323. doi: 10.1097/pq9.0000000000000323. PMID: 32766496. Does not measure clinical safety outcomes [PMC free article: PMC7382547] [PubMed: 32766496] [CrossRef]
- 14.
- Boet S, Djokhdem H, Leir SA, et al Association of intraoperative anaesthesia handovers with patient morbidity and mortality: a systematic review and meta-analysis. Br J Anaesth. 2020 Oct;125(4):605–13. doi: 10.1016/j.bja.2020.05.062. PMID: 32682560. Anesthesia handoffs [PMC free article: PMC9520752] [PubMed: 32682560] [CrossRef]
- 15.
- Bowes MR, Santiago PN, Hepps JH, et al Using I-PASS in psychiatry residency transitions of care. Acad Psychiatry. 2018 Aug;42(4):534–7. doi: 10.1007/s40596-017-0822-1. PMID: 29086242. Design [PubMed: 29086242] [CrossRef]
- 16.
- Boyd J, Wu G, Stelfox H. The Impact of checklists on inpatient safety outcomes: a systematic review of randomized controlled trials. J Hosp Med. 2017 Aug;12(8):675–82. doi: 10.12788/jhm.2788. PMID: 28786436. SR broadly focused [PubMed: 28786436] [CrossRef]
- 17.
- Bressan V, Mio M, Palese A. Nursing handovers and patient safety: findings from an umbrella review. J Adv Nurs. 2020 Apr;76(4):927–38. doi: 10.1111/jan.14288. PMID: 31815307. Background [PubMed: 31815307] [CrossRef]
- 18.
- Bukoh MX, Siah CR. A systematic review on the structured handover interventions between nurses in improving patient safety outcomes. J Nurs Manag. 2020 Apr;28(3):744–55. doi: 10.1111/jonm.12936. PMID: 31859377. SR narrowly focused [PubMed: 31859377] [CrossRef]
- 19.
- Caruso TJ, Su F, Wang E. Introduction of the EMR-integrated I-PASS ICU handoff tool. Pediatr Qual Saf. 2020 Jul-Aug;5(4):e334. doi: 10.1097/pq9.0000000000000334. PMID: 32766505. Design [PMC free article: PMC7382550] [PubMed: 32766505] [CrossRef]
- 20.
- Chladek MS, Doughty C, Patel B, et al The standardisation of handoffs in a large academic paediatric emergency department using I-PASS. BMJ Open Qual. 2021 Jul;10(3). doi: 10.1136/bmjoq-2020-001254. PMID: 34244172. Does not measure clinical safety outcomes [PMC free article: PMC8273485] [PubMed: 34244172] [CrossRef]
- 21.
- Cho S, Lee JL, Kim KS, et al Systematic review of quality improvement projects related to intershift nursing handover. J Nurs Care Qual. 2022 Jan-Mar 01;37(1):E8–e14. doi: 10.1097/ncq.0000000000000576. PMID: 34231504. SR broadly focused [PubMed: 34231504] [CrossRef]
- 22.
- Clements K. High-reliability and the I-PASS communication tool. Nurs Manage. 2017 Mar;48(3):12–3. doi: 10.1097/01.NUMA.0000512897.68425.e5. PMID: 28234760. Design [PubMed: 28234760] [CrossRef]
- 23.
- Cohen MD, Hilligoss PB. The published literature on handoffs in hospitals: deficiencies identified in an extensive review. Qual Saf Health Care. 2010 Dec;19(6):493–7. doi: 10.1136/qshc.2009.033480. PMID: 20378628. SR outdated [PubMed: 20378628] [CrossRef]
- 24.
- Devlin MK, Kozij NK, Kiss A, et al Morning handover of on-call issues: opportunities for improvement. JAMA Intern Med. 2014 Sep;174(9):1479–85. doi: 10.1001/jamainternmed.2014.3033. PMID: 25047049. No intervention of interest [PubMed: 25047049] [CrossRef]
- 25.
- Dewar ZE, Yurkonis T, Attia M. Hand-off bundle implementation associated with decreased medical errors and preventable adverse events on an academic family medicine inpatient unit: A pre-post study. Medicine (Baltimore). 2019 Oct;98(40):e17459. doi: 10.1097/md.0000000000017459. PMID: 31577774. Duplicate [PMC free article: PMC6783144] [PubMed: 31577774] [CrossRef]
- 26.
- Farhan M, Brown R, Vincent C, et al The ABC of handover: impact on shift handover in the emergency department. Emerg Med J. 2012 Dec;29(12):947–53. doi: 10.1136/emermed-2011-200201. PMID: 22205783. Does not measure clinical safety outcomes [PubMed: 22205783] [CrossRef]
- 27.
- Farhan M, Brown R, Woloshynowych M, et al The ABC of handover: a qualitative study to develop a new tool for handover in the emergency department. Emerg Med J. 2012 Dec;29(12):941–6. doi: 10.1136/emermed-2011-200199. PMID: 22215174. Design [PMC free article: PMC3512350] [PubMed: 22215174] [CrossRef]
- 28.
- Feraco AM, Starmer AJ, Sectish TC, et al Reliability of verbal handoff assessment and handoff quality before and after implementation of a resident handoff bundle. Acad Pediatr. 2016 Aug;16(6):524–31. doi: 10.1016/j.acap.2016.04.002. PMID: 27090858. Does not measure clinical safety outcomes [PMC free article: PMC5504880] [PubMed: 27090858] [CrossRef]
- 29.
- Feraco AM, Starmer AJ, Sectish TC, et al Reliability of verbal handoff assessment and handoff quality before and after implementation of a resident handoff bundle. Acad Pediatr. 2016 Aug;16(6):524–31. doi: 10.1016/j.acap.2016.04.002. PMID: 27090858. Duplicate [PMC free article: PMC5504880] [PubMed: 27090858] [CrossRef]
- 30.
- Fitzgerald KM, Banerjee TR, Starmer AJ, et al Effect of a multispecialty faculty handoff initiative on safety culture and handoff quality. Pediatr Qual Saf. 2022 Mar-Apr;7(2):e539. doi: 10.1097/pq9.0000000000000539. PMID: 35369417. Does not measure clinical safety outcome [PMC free article: PMC8970093] [PubMed: 35369417] [CrossRef]
- 31.
- Franco Vega MC, Ait Aiss M, George M, et al Enhancing implementation of the I-PASS handoff tool using a provider handoff task force at a comprehensive cancer center. Jt Comm J Qual Patient Saf. 2024 Mar 8. doi: 10.1016/j.jcjq.2024.03.004. PMID: 38584053. Does not measure clinical safety outcome [PubMed: 38584053] [CrossRef]
- 32.
- Fryman C, Hamo C, Raghavan S, et al A quality improvement approach to standardization and sustainability of the hand-off process. BMJ Qual Improv Rep. 2017;6(1). doi: 10.1136/bmjquality.u222156.w8291. PMID: 28469889. Does not measure clinical safety outcome [PMC free article: PMC5387931] [PubMed: 28469889] [CrossRef]
- 33.
- Hada A, Coyer F. Shift-to-shift nursing handover interventions associated with improved inpatient outcomes-falls, pressure injuries and medication administration errors: an integrative review. Nurs Health Sci. 2021 Jun;23(2):337–51. doi: 10.1111/nhs.12825. PMID: 33665950. SR broadly focused [PubMed: 33665950] [CrossRef]
- 34.
- Holly C, Poletick EB. A systematic review on the transfer of information during nurse transitions in care. J Clin Nurs. 2013 Sep;23(17–18):2387–95. doi: 10.1111/jocn.12365. PMID: 23786673. SR outdated [PubMed: 23786673] [CrossRef]
- 35.
- Huth K, Hart F, Moreau K, et al Real-world implementation of a standardized handover program (I-PASS) on a pediatric clinical teaching unit. Acad Pediatr. 2016 Aug;16(6):532–9. doi: 10.1016/j.acap.2016.05.143. PMID: 27188521. Does not measure clinical safety outcomes [PubMed: 27188521] [CrossRef]
- 36.
- Iedema R, Ball C, Daly B, et al Design and trial of a new ambulance-to-emergency department handover protocol: 'IMIST-AMBO'. BMJ Qual Saf. 2012 Aug;21(8):627–33. doi: 10.1136/bmjqs-2011-000766. PMID: 22626739. Between unit handoffs [PubMed: 22626739] [CrossRef]
- 37.
- Jewell JA. Standardization of inpatient handoff communication. Pediatrics. 2016 Nov;138(5). doi: 10.1542/peds.2016-2681. PMID: 27940799. Design [PubMed: 27940799] [CrossRef]
- 38.
- Jiang SY, Murphy A, Heitkemper EM, et al Impact of an electronic handoff documentation tool on team shared mental models in pediatric critical care. J Biomed Inform. 2017 May;69:24–32. doi: 10.1016/j.jbi.2017.03.004. PMID: 28286030. Does not measure clinical safety outcomes [PMC free article: PMC5471109] [PubMed: 28286030] [CrossRef]
- 39.
- Keebler JR, Lazzara EH, Patzer BS, et al Meta-analyses of the effects of standardized handoff protocols on patient, provider, and organizational outcomes. Hum Factors. 2016 Dec;58(8):1187–205. doi: 10.1177/0018720816672309. PMID: 27821676. Design [PubMed: 27821676] [CrossRef]
- 40.
- Lam KC, Mok TS. Comparison is beyond IPASS and OPTIMAL. Hong Kong Med J. 2014 Jun;20(3):176–7. doi: 10.12809/hkmj144267. PMID: 24914076. No intervention of interest [PubMed: 24914076] [CrossRef]
- 41.
- Lazzara EH, Simonson RJ, Gisick LM, et al Does standardisation improve post-operative anaesthesia handoffs? Meta-analyses on provider, patient, organisational, and handoff outcomes. Ergonomics. 2022 Aug;65(8):1138–53. doi: 10.1080/00140139.2021.2020341. PMID: 35438045. Anesthesia handoffs [PubMed: 35438045] [CrossRef]
- 42.
- Li P, Ali S, Tang C, et al Review of computerized physician handoff tools for improving the quality of patient care. Journal of Hospital Medicine. 2013;8(8):456–63. doi: 10.1002/jhm.1988. SR outdated [PubMed: 23169534] [CrossRef]
- 43.
- Mardis M, Davis J, Benningfield B, et al Shift-to-shift handoff effects on patient safety and outcomes. Am J Med Qual. 2017 Jan/Feb;32(1):34–42. doi: 10.1177/1062860615612923. PMID: 26518882. SR inconclusive results [PubMed: 26518882] [CrossRef]
- 44.
- Mariano MT, Brooks V, DiGiacomo M. PSYCH: a mnemonic to help psychiatric residents decrease patient handoff communication errors. Jt Comm J Qual Patient Saf. 2016 Jul;42(7):316–20. doi: 10.1016/s1553-7250(16)42043-x. PMID: 27301835. Does not measure clinical safety outcomes [PubMed: 27301835] [CrossRef]
- 45.
- Mathias JM. Targeted solutions tool helps banish communication barriers during surgery. OR Manager. 2014 Jan;30(1):14–6. PMID: 24520680. Design [PubMed: 24520680]
- 46.
- Merten H, van Galen LS, Wagner C. Safe handover. BMJ. 2017 Oct 9;359:j4328. doi: 10.1136/bmj.j4328. PMID: 28993308. Design [PubMed: 28993308] [CrossRef]
- 47.
- Methangkool E, Tollinche L, Sparling J, et al Communication: is there a standard handover technique to transfer patient care? Int Anesthesiol Clin. 2019 Summer;57(3):35–47. doi: 10.1097/aia.0000000000000241. PMID: 31577236. Design [PMC free article: PMC6777853] [PubMed: 31577236] [CrossRef]
- 48.
- Møller TP, Madsen MD, Fuhrmann L, et al Postoperative handover: characteristics and considerations on improvement: a systematic review. Eur J Anaesthesiol. 2013 May;30(5):229–42. doi: 10.1097/EJA.0b013e32835d8520. PMID: 23492933. Not a handoff of interest [PubMed: 23492933] [CrossRef]
- 49.
- Mueller SK, Yoon C, Schnipper JL. Association of a web-based handoff tool with rates of medical errors. JAMA Intern Med. 2016 Sep 1;176(9):1400–2. doi: 10.1001/jamainternmed.2016.4258. PMID: 27479693. Not a handoff of interest [PMC free article: PMC11104429] [PubMed: 27479693] [CrossRef]
- 50.
- Nanchal R, Aebly B, Graves G, et al Controlled trial to improve resident sign-out in a medical intensive care unit. BMJ Qual Saf. 2017 Dec;26(12):987–92. doi: 10.1136/bmjqs-2017-006657. PMID: 28784841. Not a handoff of interest [PubMed: 28784841] [CrossRef]
- 51.
- Nasarwanji MF, Badir A, Gurses AP. Standardizing handoff communication: content analysis of 27 handoff mnemonics. J Nurs Care Qual. 2016 Jul-Sep;31(3):238–44. doi: 10.1097/ncq.0000000000000174. PMID: 26845420. Background [PubMed: 26845420] [CrossRef]
- 52.
- O'Toole JK, Hepps J, Starmer AJ, et al I-PASS mentored implementation handoff curriculum: frontline provider training materials. MedEdPORTAL. 2020;16:10912. doi: doi:10.15766/mep_2374-8265.10912. Does not measure clinical safety outcome [PMC free article: PMC7375701] [PubMed: 32715086] [CrossRef]
- 53.
- O'Toole JK, Starmer AJ, Calaman S, et al I-PASS mentored implementation handoff curriculum: implementation guide and resources. MedEdPORTAL. 2018 Aug 3;14:10736. doi: 10.15766/mep_2374-8265.10736. PMID: 30800936. Does not measure clinical safety outcome [PMC free article: PMC6342372] [PubMed: 30800936] [CrossRef]
- 54.
- O'Toole JK, Starmer AJ, Calaman S, et al I-PASS mentored implementation handoff curriculum: champion training resources. MedEdPORTAL. 2019 Jan 10;15:10794. doi: 10.15766/mep_2374-8265.10794. PMID: 30800994. Does not measure clinical safety outcome [PMC free article: PMC6354793] [PubMed: 30800994] [CrossRef]
- 55.
- O'Toole JK, West DC, Starmer AJ, et al Placing faculty development front and center in a multisite educational initiative: lessons from the I-PASS handoff study. Academic Pediatrics. 2014;14(3):221–4. doi: 10.1016/j.acap.2014.02.013. Does not measure clinical safety outcome [PubMed: 24767774] [CrossRef]
- 56.
- Odone A, Bossi E, Scardoni A, et al Physician-to-nurse handover: a systematic review on the effectiveness of different models. J Patient Saf. 2022 Jan 1;18(1):e73–e84. doi: 10.1097/pts.0000000000000701. PMID: 32433435. SR inconclusive results [PubMed: 32433435] [CrossRef]
- 57.
- Parikh NR, Francisco LS, Balikai SC, et al Development and evaluation of I-PASS to PICU: a standard electronic template to improve referral communication for interfacility transfers to the pediatric ICU. Jt Comm J Qual Patient Saf. 2024 May;50(5):338–47. doi: 10.1016/j.jcjq.2024.01.010. PMID: 38418317. Between unit handoffs [PubMed: 38418317] [CrossRef]
- 58.
- Price DW. Viewing resident experience with I-PASS implementation through different implementation, diffusion, and sustainability frameworks. J Grad Med Educ. 2017 Jun;9(3):321–3. doi: 10.4300/jgme-d-17-00217.1. PMID: 28638510. Design [PMC free article: PMC5476381] [PubMed: 28638510] [CrossRef]
- 59.
- Pucher PH, Johnston MJ, Aggarwal R, et al Effectiveness of interventions to improve patient handover in surgery: a systematic review. Surgery. 2015 Jul;158(1):85–95. doi: 10.1016/j.surg.2015.02.017. PMID: 25999255. SR narrowly focused [PubMed: 25999255] [CrossRef]
- 60.
- Riesenberg LA, Leitzsch J, Cunningham JM. Nursing handoffs: a systematic review of the literature. Am J Nurs. 2010 Apr;110(4):24–34; quiz 5–6. doi: 10.1097/01.NAJ.0000370154.79857.09. PMID: 20335686. SR outdated [PubMed: 20335686] [CrossRef]
- 61.
- Riesenberg LA, Leitzsch J, Little BW. Systematic review of handoff mnemonics literature. Am J Med Qual. 2019 Sep/Oct;34(5):446–54. doi: 10.1177/1062860619873200. PMID: 31479296. SR outdated [PubMed: 31479296] [CrossRef]
- 62.
- Robertson ER, Morgan L, Bird S, et al Interventions employed to improve intrahospital handover: a systematic review. BMJ Qual Saf. 2014 Jul;23(7):600–7. doi: 10.1136/bmjqs-2013-002309. PMID: 24811239. SR outdated [PubMed: 24811239] [CrossRef]
- 63.
- Rosenbluth G, Destino LA, Starmer AJ, et al I-PASS handoff program: use of a campaign to effect transformational change. Pediatr Qual Saf. 2018 Jul-Aug;3(4):e088. doi: 10.1097/pq9.0000000000000088. PMID: 30229199. Does not measure clinical safety outcome [PMC free article: PMC6135553] [PubMed: 30229199] [CrossRef]
- 64.
- Rosenthal JL, Doiron R, Haynes SC, et al The effectiveness of standardized handoff tool interventions during inter- and intra-facility care transitions on patient-related outcomes: a systematic review. Am J Med Qual. 2018 Mar/Apr;33(2):193–206. doi: 10.1177/1062860617708244. PMID: 28467104. SR broadly focused [PubMed: 28467104] [CrossRef]
- 65.
- Ryan JM, Simiceva A, Eppich W, et al End-of-shift surgical handover: mixed-methods, multicentre evaluation and recommendations for improvement. BJS Open. 2024 Mar 1;8(2). doi: 10.1093/bjsopen/zrae023. PMID: 38568851. Background [PMC free article: PMC10989866] [PubMed: 38568851] [CrossRef]
- 66.
- Ryan SL, Logan M, Liu X, et al Long-term sustainability and adaptation of I-PASS handovers. Jt Comm J Qual Patient Saf. 2023 Dec;49(12):689–97. doi: 10.1016/j.jcjq.2023.07.007. PMID: 37648628. Does not measure clinical safety outcome [PubMed: 37648628] [CrossRef]
- 67.
- Sadri A, Dacombe P, Ieong E, et al Handover in plastic surgical practice: the ABCD principle. European Journal of Plastic Surgery. 2014;37(1):37–42. doi: 10.1007/s00238-013-0892-6. Does not measure clinical safety outcomes [CrossRef]
- 68.
- Schmidt T, Kocher DR, Mahendran P, et al Dynamic pocket card for implementing ISBAR in shift handover communication. Stud Health Technol Inform. 2019 Sep 3;267:224–9. doi: 10.3233/shti190831. PMID: 31483276. Does not measure clinical safety outcomes [PubMed: 31483276] [CrossRef]
- 69.
- Scott AM, Li J, Oyewole-Eletu S, et al Understanding facilitators and barriers to care transitions: insights from project ACHIEVE site visits. Jt Comm J Qual Patient Saf. 2017 Sep;43(9):433–47. doi: 10.1016/j.jcjq.2017.02.012. PMID: 28844229. No intervention of interest [PubMed: 28844229] [CrossRef]
- 70.
- Shahian D. I-PASS handover system: a decade of evidence demands action. BMJ Qual Saf. 2021 Oct;30(10):769–74. doi: 10.1136/bmjqs-2021-013314. PMID: 33893212. Background [PubMed: 33893212] [CrossRef]
- 71.
- Shahian DM, McEachern K, Rossi L, et al Large-scale implementation of the I-PASS handover system at an academic medical centre. BMJ Qual Saf. 2017 Sep;26(9):760–70. doi: 10.1136/bmjqs-2016-006195. PMID: 28280074. Does not measure clinical safety outcomes [PubMed: 28280074] [CrossRef]
- 72.
- Sheth S, McCarthy E, Kipps AK, et al Changes in efficiency and safety culture after integration of an I-PASS-supported handoff process. Pediatrics. 2016;137(2):e20150166. doi: 10.1542/peds.2015-0166. Between unit handoffs [PubMed: 26743818] [CrossRef]
- 73.
- Sheth S, McCarthy E, Kipps AK, et al Changes in efficiency and safety culture after integration of an I-PASS-supported handoff process. Pediatrics. 2016 Feb;137(2):e20150166. doi: 10.1542/peds.2015-0166. PMID: 26743818. Duplicate [PubMed: 26743818] [CrossRef]
- 74.
- Singh N, Yun C, Likhtshteyn M, et al Systematic handoffs to improve patient outcomes and resident satisfaction: a single center observational study. J Gen Intern Med. 2019 Jul;34(7):1092–3. doi: 10.1007/s11606-019-04842-w. PMID: 30734191. Not a handoff of interest [PMC free article: PMC6614243] [PubMed: 30734191] [CrossRef]
- 75.
- Skaret MM, Weaver TD, Humes RJ, et al Automation of the I-PASS tool to improve transitions of care. J Healthc Qual. 2019 Sep/Oct;41(5):274–80. doi: 10.1097/jhq.0000000000000174. PMID: 31483392. Does not measure clinical safety outcome [PubMed: 31483392] [CrossRef]
- 76.
- Solet DJ, Norvell JM, Rutan GH, et al Lost in translation: challenges and opportunities in physician-to-physician communication during patient handoffs. Acad Med. 2005 Dec;80(12):1094–9. doi: 10.1097/00001888-200512000-00005. PMID: 16306279. Design [PubMed: 16306279] [CrossRef]
- 77.
- Starmer AJ, O'Toole JK, Rosenbluth G, et al Development, implementation, and dissemination of the I-PASS handoff curriculum: a multisite educational intervention to improve patient handoffs. Acad Med. 2014 Jun;89(6):876–84. doi: 10.1097/acm.0000000000000264. PMID: 24871238. Does not measure clinical safety outcomes [PubMed: 24871238] [CrossRef]
- 78.
- Starmer AJ, Schnock KO, Lyons A, et al Effects of the I-PASS Nursing Handoff Bundle on communication quality and workflow. BMJ Qual Saf. 2017 Dec;26(12):949–57. doi: 10.1136/bmjqs-2016-006224. PMID: 28679836. Does not measure clinical safety outcomes [PubMed: 28679836] [CrossRef]
- 79.
- Starmer AJ, Spector ND, O'Toole JK, et al Implementation of the I-PASS handoff program in diverse clinical environments: a multicenter prospective effectiveness implementation study. J Hosp Med. 2023 Jan;18(1):5–14. doi: 10.1002/jhm.12979. PMID: 36326255. Duplicate [PMC free article: PMC10964397] [PubMed: 36326255] [CrossRef]
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Appendix C. Risk of Bias Tables
Table C-1Risk of Bias for RCTs (Cochrane Risk of Bias)
| Author, Year | Random | Allocation Concealment | Blinding Participants | Blinding Outcome Assessment | Selective Reporting | Attrition |
|---|---|---|---|---|---|---|
| Jorro-Barón, 202132 | Low risk | Low risk | High risk | Uncertain risk | Low risk | Low risk |
| Parent, 201835 | Uncertain risk | Uncertain risk | High risk | Uncertain risk | Low risk | Low risk |
| Tam, 201841 | Low risk | Uncertain risk | High risk | Low risk | Low risk | Low risk |
| Verholen, 202143 | Low risk | Uncertain risk | Low risk | Uncertain risk | Low risk | Low risk |
Table C-2Risk of Bias in Pre-Post Studies
| Author, Year | Were eligibility/selection criteria for the study population prespecified and clearly described? | Was the sample size sufficiently large to provide confidence in the findings? | Was the test/service/intervention clearly described and delivered consistently across the study population? | Were the outcome measures prespecified, clearly defined, valid, reliable, and assessed consistently across all study participants? | Was the loss to followup after baseline 20% or less? Were those lost to followup accounted for in the analysis? |
|---|---|---|---|---|---|
| Dewar, 201930 | Yes | Yes | Yes | Yes | Yes |
| Goldraij, 202131 | Yes | No | Yes | Yes | Yes |
|
Kuzma, 202334 Khan, 201833 | Yes | Yes | Yes | Yes | Yes |
| Sonoda, 202136 | Yes | No | Yes | Yes | Yes |
| Starmer, 201337 | Yes | Yes | Yes | Yes | Yes |
| Starmer, 201439 | Yes | Yes | Yes | Yes | Yes |
| Starmer, 202338 | Yes | Yes | Yes | Yes | Yes |
| Stenquist, 202240 | Yes | Yes | Yes | Yes | Yes |
| Ting, 201742 | Yes | Yes | Yes | Yes | Yes |
Table C-3Certainty of Evidence
| GRADE Domains | Other Sources of Evidence | |||||||
|---|---|---|---|---|---|---|---|---|
| Finding | Study Limitations | Consistency | Directness | Precision | Mechanistic/Theoretical Evidence | Parallel Evidence | Final Certainty of Evidence | Change in Certainty of Evidence due to Other Supporting Evidence |
| Use of I-PASS for shift-to-shift handoffs reduces medical errors and adverse events | Serious limitations | Serious limitations | No serious limitations | No serious limitations | Supportive | Supportive | Moderate | +1 |
- Disclaimers: This report is based on research conducted by the Southern California Evidence-based Practice Center under contract to the Agency for Healthcare Research and Quality (AHRQ), Rockville, MD (Contract No. 75Q80120D00003). The findings and conclusions in this document are those of the authors, who are responsible for its contents; the findings and conclusions do not necessarily represent the views of AHRQ. Therefore, no statement in this report should be construed as an official position of AHRQ or of the U.S. Department of Health and Human Services.None of the investigators have any affiliations or financial involvement that conflict with the material presented in this report.The information in this report is intended to help healthcare decision makers—patients and clinicians, health system leaders, and policymakers, among others—make well-informed decisions and thereby improve the quality of healthcare services. This report is not intended to be a substitute for the application of clinical judgment. Anyone who makes decisions concerning the provision of clinical care should consider this report in the same way as any medical reference and in conjunction with all other pertinent information, i.e., in the context of available resources and circumstances presented by individual patients.This report is made available to the public under the terms of a licensing agreement between the author and the Agency for Healthcare Research and Quality. Most AHRQ documents are publicly available to use for noncommercial purposes (research, clinical or patient education, quality improvement projects) in the United States and do not need specific permission to be reprinted and used unless they contain material that is copyrighted by others. Specific written permission is needed for commercial use (reprinting for sale, incorporation into software, incorporation into for-profit training courses) or for use outside of the United States. If organizational policies require permission to adapt or use these materials, AHRQ will provide such permission in writing.AHRQ or U.S. Department of Health and Human Services endorsement of any derivative products that may be developed from this report, such as clinical practice guidelines, other quality enhancement tools, or reimbursement or coverage policies, may not be stated or implied.A representative from AHRQ served as a Contracting Officer’s Representative and reviewed the contract deliverables for adherence to contract requirements and quality. AHRQ did not directly participate in the literature search, determination of study eligibility criteria, data analysis, interpretation of data, or preparation or drafting of this report.AHRQ appreciates appropriate acknowledgment and citation of its work. Suggested language for acknowledgment:This work was based on an evidence report, Use of Structured Handoff Protocols for Intrahospital Within Unit Transitions, by the Evidence-based Practice Center Program at the Agency for Healthcare Research and Quality (AHRQ).
- Shekelle PG, Motala A, Lawson E. Use of Structured Handoff Protocols for Intrahospital Within-Unit Transitions. Making Healthcare Safer IV Rapid Review. (Prepared by the Southern California Evidence-based Practice Center under Contract No. 75Q80120D00003). AHRQ Publication No. 25-EHC008-2. Rockville, MD: Agency for Healthcare Research and Quality. January 2025. DOI: https://doi.org/10.23970/AHRQEPC_MHS4HANDOFF. Posted final reports are located on the Effective Health Care Program search page.
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