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Improving the utility of evidence synthesis for decision makers in the face of insufficient evidence

Authors :
Carolyn M. Rutter
M. Hassan Murad
Andrew R. Zullo
Meera Viswanathan
Amy Y. Tsou
Shazia Mehmood Siddique
Ethan M Balk
Jennifer S Lin
Mark Helfand
Timothy J Wilt
Celia Fiordalisi
Stephanie Chang
Brian Leas
Olivia S. Costa
Craig I Coleman
Elizabeth Stoeger
Karen A. Robinson
Source :
Journal of Clinical Epidemiology. 135:170-175
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Objective : To identify and suggest strategies to make insufficient evidence ratings in systematic reviews more actionable. Study Design and Setting : A workgroup comprising members from the Evidence-Based Practice (EPC) Program of the Agency for Healthcare Research and Quality convened throughout 2020. We conducted iterative discussions considering information from three data sources: a literature review for relevant publications and frameworks, a review of a convenience sample of past systematic reviews conducted by the EPCs, and an audit of methods used in past EPC technical briefs. Results : We identified five strategies for supplementing systematic review findings when evidence on benefits or harms is expected to be, or found to be, insufficient: 1) reconsider eligible study designs, 2) summarize indirect evidence, 3) summarize contextual and implementation evidence, 4) consider modelling, and 5) incorporate unpublished health system data in the evidence synthesis. While these strategies may not increase the strength of evidence, they may improve the utility of reports for decisionmakers. Adopting these strategies depends on feasibility, timeline, funding, and expertise of the systematic reviewers. Conclusion : Throughout the process of evidence synthesis of early scoping, protocol development, review conduct, and review presentation, authors can consider these five strategies to supplement evidence with insufficient rating to make it more actionable for end-users.

Details

ISSN :
08954356
Volume :
135
Database :
OpenAIRE
Journal :
Journal of Clinical Epidemiology
Accession number :
edsair.doi.dedup.....73575254d1b255826b0a653b5e5bf092