Improving utility of evidence synthesis for healthy public policy: The three Rs (relevance, rigor, and readability [and resources])
H. Thomson
American Journal of Public Health, 2013, vol. 103, issue 8, e17-e23
Abstract:
Systematic reviews have the potential to promote knowledge exchange between researchers and decision-makers. Review planning requires engagement with evidence users to ensure preparation of relevant reviews, and well-conducted reviews should provide accessible and reliable synthesis to support decision-making. Yet, systematic reviews are not routinely referred to by decision-makers, and innovative approaches to improve the utility of reviews is needed. Evidence synthesis for healthy public policy is typically complex and methodologically challenging. Although not lessening the value of reviews, these challenges can be overwhelming and threaten their utility. Using the interrelated principles of relevance, rigor, and readability, and in light of available resources, this article considers how utility of evidence synthesis for healthy public policy might be improved. © 2013 American Journal of Public Health.
Keywords: article; evidence based medicine; human; literature; management; methodology; policy, Evidence-Based Medicine; Humans; Policy Making; Public Policy; Research Design; Review Literature as Topic (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.2105/AJPH.2013.301400
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aph:ajpbhl:10.2105/ajph.2013.301400_0
DOI: 10.2105/AJPH.2013.301400
Access Statistics for this article
American Journal of Public Health is currently edited by Alfredo Morabia
More articles in American Journal of Public Health from American Public Health Association
Bibliographic data for series maintained by Christopher F Baum ().