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Structured Abstract
Objectives:
Linking national, State, and community data systems, such as those used for medical service billing, to existing data from suicide prevention efforts could facilitate the assessment of longer term outcomes. Our objective was to identify and describe data systems that can be linked to data from studies of youth suicide prevention interventions and to identify analytic approaches to advance youth suicide prevention research.
Data sources:
We conducted a systematic review to identify studies of suicide prevention interventions and three types of searches to identify data systems providing suicide-related outcomes: (1) a literature search, (2) an environmental scan of gray literature, and (3) a targeted search, through contact with relevant individuals, in six States, two cities, and one tribal community.
Review methods:
Two independent reviewers screened all results. Studies and data systems had to be based in the United States; include individuals between 0 and 25 years of age; and include suicide, suicide attempt, or suicide ideation as an outcome.
Results:
Of the 47 studies (described in 59 articles) of suicide prevention interventions identified in our systematic review, only 6 studied outcomes by linking to external data systems and only 12 explored treatment heterogeneity through the effects of moderators such as gender or race/ethnicity. We identified 153 unique and potentially linkable external data systems, 66 of which we classified as “fairly accessible” with data dictionaries available.
Conclusions:
There is potential for linking existing data systems with suicide prevention efforts to assess the broader and extended impact of suicide prevention interventions. However, sparse availability of data dictionaries and lack of adherence to standard data elements limit the potential utility of linking prevention efforts with data systems.
Contents
- Preface
- Acknowledgments
- Technical Expert Panel
- Peer Reviewers
- Introduction
- Methods
- Results
- Suicide Prevention Studies
- Data Systems
- Key Question 1. What national, State, and community data systems can be linked to existing data from suicide prevention interventions in order to add possible value for stakeholders, and what methods are available to link the data systems?
- Key Question 2. Which statistical methods are reliable and valid for analyzing linked national, State, and community data systems and suicide prevention data to avoid misleading conclusions?
- Key Question 3. Which statistical methods are reliable and valid for understanding possible moderators in suicide prevention programs to improve targeting interventions to populations?
- Discussion
- References
- Appendix A. Acronyms
- Appendix B. Search Strategies
- Appendix C. Environmental Scan Coding Scheme
- Appendix D. Results of the Literature Search
- Appendix E. Evidence Tables
- Appendix F. Included Data Systems
Suggested citation:
Wilcox HC, Wissow L, Kharrazi H, Wilson RF, Musci RJ, Zhang A, Robinson KA. Data Linkage Strategies To Advance Youth Suicide Prevention. Evidence Report/Technology Assessment No. 222. (Prepared by the Johns Hopkins University Evidence-based Practice Center under Contract No. 290-2012-00007-I.) AHRQ Publication No. 16(17)-E001-EF. Rockville, MD: Agency for Healthcare Research and Quality; September 2016. www.effectivehealthcare.ahrq.gov/reports/final.cfm. DOI: https://doi.org/10.23970/AHRQEPCERTA222.
This report is based on research conducted by the Johns Hopkins University Evidence-based Practice Center (EPC) under contract to the Agency for Healthcare Research and Quality (AHRQ), Rockville, MD (Contract No. 290-2012-00007-I). 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 conflicts with the material presented in this report.
The information in this report is intended to help health care decisionmakers—patients and clinicians, health system leaders, and policymakers, among others—make well informed decisions and thereby improve the quality of health care 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.
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.
This report may periodically be assessed for the currency of conclusions. If an assessment is done, the resulting surveillance report describing the methodology and findings will be found on the Effective Health Care Program Web site at www.effectivehealthcare.ahrq.gov. Search on the title of the report.
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