The Use of Research Evidence in Public Health Decision Making Processes: Systematic Review
Clicks: 373
ID: 114918
2011
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Star Article
64.3
/100
373 views
248 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
StarRanked #354 of 2,056 articles by views in PloS one
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 2,056 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Background The use of research evidence to underpin public health policy is strongly promoted. However, its implementation has not been straightforward. The objectives of this systematic review were to synthesise empirical evidence on the use of research evidence by public health decision makers in settings with universal health care systems. Methods To locate eligible studies, 13 bibliographic databases were screened, organisational websites were scanned, key informants were contacted and bibliographies of included studies were scrutinised. Two reviewers independently assessed studies for inclusion, extracted data and assessed methodological quality. Data were synthesised as a narrative review. Findings 18 studies were included: 15 qualitative studies, and three surveys. Their methodological quality was mixed. They were set in a range of country and decision making settings. Study participants included 1063 public health decision makers, 72 researchers, and 174 with overlapping roles. Decision making processes varied widely between settings, and were viewed differently by key players. A range of research evidence was accessed. However, there was no reliable evidence on the extent of its use. Its impact was often indirect, competing with other influences. Barriers to the use of research evidence included: decision makers' perceptions of research evidence; the gulf between researchers and decision makers; the culture of decision making; competing influences on decision making; and practical constraints. Suggested (but largely untested) ways of overcoming these barriers included: research targeted at the needs of decision makers; research clearly highlighting key messages; and capacity building. There was little evidence on the role of research evidence in decision making to reduce inequalities. Conclusions To more effectively implement research informed public health policy, action is required by decision makers and researchers to address the barriers identified in this systematic review. There is an urgent need for evidence to support the use of research evidence to inform public health decision making to reduce inequalities.
| Reference Key |
orton2011plosthe
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Lois Orton;Ffion Lloyd-Williams;David Taylor-Robinson;Martin O'Flaherty;Simon Capewell; |
| Journal | PloS one |
| Year | 2011 |
| DOI |
10.1371/journal.pone.0021704
|
| URL | |
| Keywords |
decision making
systematic reviews
public policy
science policy
qualitative studies
health care policy
database searching
public and occupational health
systematic review
qualitative research
meta-analysis
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
review
humans
pubmed abstract
nih
national institutes of health
national library of medicine
research support
non-u.s. gov't
public health*
decision making*
evidence-based medicine*
research*
pmid:21818262
pmc3144216
doi:10.1371/journal.pone.0021704
lois orton
ffion lloyd-williams
simon capewell
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.