Evidence map›Paper›PMID 29940961›Full record

ReviewHealth research policy and systems2018

Looking both ways: a review of methods for assessing research impacts on policy and the policy utilisation of research.

Robyn Newson, Lesley King, Lucie Rychetnik, Andrew Milat, Adrian Bauman

Abstract readReview
In one paragraph

Review in Health research policy and systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
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  10. Review
  11. A research impact model for work and health.American journal of industrial medicine · 2021
    Article
  12. Recent Trends and Future Direction of Dental Research in the Digital Era.International journal of environmental research and public health · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Robyn NewsonSydney School of Public Health, The University of Sydney, Charles Perkins Centre D17, Level 6 Hub, Sydney, NSW, 2006, Australia. rnewson@uni.sydney.edu.au.ORCID http://orcid.org/0000-0001-7226-1726
Lesley KingSydney School of Public Health, The University of Sydney, Charles Perkins Centre D17, Level 6 Hub, Sydney, NSW, 2006, Australia.
Lucie RychetnikSchool of Medicine Sydney, University of Notre Dame Australia, 160 Oxford St, Darlinghurst, 2010, Australia.
Andrew MilatSydney School of Public Health, The University of Sydney, Charles Perkins Centre D17, Level 6 Hub, Sydney, NSW, 2006, Australia.
Adrian BaumanSydney School of Public Health, The University of Sydney, Charles Perkins Centre D17, Level 6 Hub, Sydney, NSW, 2006, Australia.

Funding

National Health and Medical Research Council 1024291
6 · The paper itself

Abstract

backgroundMeasuring the policy and practice impacts of research is becoming increasingly important. Policy impacts can be measured from two directions - tracing forward from research and tracing backwards from a policy outcome. In this review, we compare these approaches and document the characteristics of studies assessing research impacts on policy and the policy utilisation of research.

methodsKeyword searches of electronic databases were conducted in December 2016. Included studies were published between 1995 and 2016 in English and reported methods and findings of studies measuring policy impacts of specified health research, or research use in relation to a specified health policy outcome, and reviews reporting methods of research impact assessment. Using an iterative data extraction process, we developed a framework to define the key elements of empirical studies (assessment reason, assessment direction, assessment starting point, unit of analysis, assessment methods, assessment endpoint and outcomes assessed) and then documented the characteristics of included empirical studies according to this framework.

resultsWe identified 144 empirical studies and 19 literature reviews. Empirical studies were derived from two parallel streams of research of equal size, which we termed 'research impact assessments' and 'research use assessments'. Both streams provided insights about the influence of research on policy and utilised similar assessment methods, but approached measurement from opposite directions. Research impact assessments predominantly utilised forward tracing approaches while the converse was true for research use assessments. Within each stream, assessments focussed on narrow or broader research/policy units of analysis as the starting point for assessment, each with associated strengths and limitations. The two streams differed in terms of their relative focus on the contributions made by specific research (research impact assessments) versus research more generally (research use assessments) and the emphasis placed on research and the activities of researchers in comparison to other factors and actors as influencers of change.

conclusionsThe Framework presented in this paper provides a mechanism for comparing studies within this broad field of research enquiry. Forward and backward tracing approaches, and their different ways of 'looking', tell a different story of research-based policy change. Combining approaches may provide the best way forward in terms of linking outcomes to specific research, as well as providing a realistic picture of research influence.

Indexed as

Biomedical ResearchDelivery of Health CareEvidence-Based MedicineHealth PolicyHumansEvidence-informed policyHealth policyHealth researchPolicy impactResearch impactResearch impact assessmentResearch paybackResearch useResearch utilisation

Identifiers

PMID29940961
PMCPMC6019310

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.