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High-Stakes Systematic Reviews

Author

Listed:
  • Brian Goesling
  • Sarah Oberlander
  • Lisa Trivits

Abstract

Background: Systematic reviews help policy makers and practitioners make sense of research findings in a particular program, policy, or practice area by synthesizing evidence across multiple studies. However, the link between review findings and practical decision-making is rarely one-to-one. Policy makers and practitioners may use systematic review findings to help guide their decisions, but they may also rely on other information sources or personal judgment. Objectives: To describe a recent effort by the U.S. federal government to narrow the gap between review findings and practical decision-making. The Teen Pregnancy Prevention (TPP) Evidence Review was launched by the U.S. Department of Health and Human Services (HHS) in 2009 as a systematic review of the TPP literature. HHS has used the review findings to determine eligibility for federal funding for TPP programs, marking one of the first attempts to directly link systematic review findings with federal funding decisions. Conclusions: The high stakes attached to the review findings required special considerations in designing and conducting the review. To provide a sound basis for federal funding decisions, the review had to meet accepted methodological standards. However, the review team also had to account for practical constraints of the funding legislation and needs of the federal agencies responsible for administering the grant programs. The review team also had to develop a transparent process for both releasing the review findings and updating them over time. Prospective review authors and sponsors must recognize both the strengths and limitations of this approach before applying it in other areas.

Suggested Citation

  • Brian Goesling & Sarah Oberlander & Lisa Trivits, 2017. "High-Stakes Systematic Reviews," Evaluation Review, , vol. 41(1), pages 27-49, February.
  • Handle: RePEc:sae:evarev:v:41:y:2017:i:1:p:27-49
    DOI: 10.1177/0193841X16664658
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    References listed on IDEAS

    as
    1. Diane Paulsell & Jaime Thomas & Shannon Monahan & Neil S. Seftor, "undated". "A Trusted Source of Information: How Systematic Reviews Can Support User Decisions About Adopting Evidence-Based Programs," Mathematica Policy Research Reports d637ad38ce7649ae84a7ddf06, Mathematica Policy Research.
    2. Emily Sama-Miller & Lauren Akers & Andrea Mraz-Esposito & Marykate Zukiewicz & Sarah Avellar & Diane Paulsell & Patricia Del Grosso, "undated". "Home Visiting Evidence of Effectiveness Review: Executive Summary," Mathematica Policy Research Reports 87df04cf10f344939c4ffce2e, Mathematica Policy Research.
    3. Susan Zief & Rachel Shapiro & Debra Strong, "undated". "The Personal Responsibility Education Program (PREP): Launching a Nationwide Adolescent Pregnancy Prevention Effort," Mathematica Policy Research Reports 3bdcf9d877d5485898e805bf3, Mathematica Policy Research.
    4. Emily Sama-Miller & Lauren Akers & Andrea Mraz-Esposito & Sarah Avellar & Diane Paulsell & Patricia Del Grosso, "undated". "Home Visiting Evidence of Effectiveness Review (Executive Summary)," Mathematica Policy Research Reports e7ca642d212341c19d252df0b, Mathematica Policy Research.
    5. repec:mpr:mprres:7653 is not listed on IDEAS
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    7. Brian Goesling & Silvie Colman & Christopher Trenholm & Mary Terzian & Kristin Moore, "undated". "Programs to Reduce Teen Pregnancy, Sexually Transmitted Infections, and Associated Sexual Risk Behaviors: A Systematic Review," Mathematica Policy Research Reports 79abd8a5ae924d15a82e0ee44, Mathematica Policy Research.
    8. Brian Goesling, "undated". "Making Sense of Replication Studies: Guidance for Teen Pregnancy Prevention Researchers," Mathematica Policy Research Reports 02bb275446464c37a4fddbcdf, Mathematica Policy Research.
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    10. Emily Sama-Miller & Lauren Akers & Andrea Mraz-Esposito & Rebecca Coughlin & Marykate Zukiewicz, "undated". "Home Visiting Evidence of Effectiveness Review: Executive Summary," Mathematica Policy Research Reports ab92c1547bc142a6815d64f33, Mathematica Policy Research.
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