Evidence map›Paper›PMID 28095915›Full record

ArticleHealth research policy and systems2017

Development and validation of SEER (Seeking, Engaging with and Evaluating Research): a measure of policymakers' capacity to engage with and use research.

Sue E Brennan, Joanne E McKenzie, Tari Turner, Sally Redman, Steve Makkar, Anna Williamson, Abby Haynes, Sally E Green

Abstract readValidation Study
In one paragraph

Article in Health research policy and systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  8. Development and testing of the capacity of organisations for system practices scale.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
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  10. The development, validity, and reliability of the Researcher Investment Tool.Journal of clinical and translational science · 2025
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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

8 authors.

Sue E BrennanSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. sue.brennan@monash.edu.
Joanne E McKenzieSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Tari TurnerSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Sally RedmanSax Institute, Sydney, Australia.
Steve MakkarSax Institute, Sydney, Australia.
Anna WilliamsonSax Institute, Sydney, Australia.
Abby HaynesSax Institute, Sydney, Australia.
Sally E GreenSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCapacity building strategies are widely used to increase the use of research in policy development. However, a lack of well-validated measures for policy contexts has hampered efforts to identify priorities for capacity building and to evaluate the impact of strategies. We aimed to address this gap by developing SEER (Seeking, Engaging with and Evaluating Research), a self-report measure of individual policymakers' capacity to engage with and use research.

methodsWe used the SPIRIT Action Framework to identify pertinent domains and guide development of items for measuring each domain. Scales covered (1) individual capacity to use research (confidence in using research, value placed on research, individual perceptions of the value their organisation places on research, supporting tools and systems), (2) actions taken to engage with research and researchers, and (3) use of research to inform policy (extent and type of research use). A sample of policymakers engaged in health policy development provided data to examine scale reliability (internal consistency, test-retest) and validity (relation to measures of similar concepts, relation to a measure of intention to use research, internal structure of the individual capacity scales).

resultsResponse rates were 55% (150/272 people, 12 agencies) for the validity and internal consistency analyses, and 54% (57/105 people, 9 agencies) for test-retest reliability. The individual capacity scales demonstrated adequate internal consistency reliability (alpha coefficients > 0.7, all four scales) and test-retest reliability (intra-class correlation coefficients > 0.7 for three scales and 0.59 for fourth scale). Scores on individual capacity scales converged as predicted with measures of similar concepts (moderate correlations of > 0.4), and confirmatory factor analysis provided evidence that the scales measured related but distinct concepts. Items in each of these four scales related as predicted to concepts in the measurement model derived from the SPIRIT Action Framework. Evidence about the reliability and validity of the research engagement actions and research use scales was equivocal.

conclusionsInitial testing of SEER suggests that the four individual capacity scales may be used in policy settings to examine current capacity and identify areas for capacity building. The relation between capacity, research engagement actions and research use requires further investigation.

Indexed as

Administrative PersonnelHealth PolicyEvidence-Based PracticeFeasibility StudiesHumansPilot ProjectsPolicy MakingProfessional PracticeResearchSelf ReportSurveys and QuestionnairesTranslational Research, BiomedicalCapacity buildingCapacity to use researchConceptual frameworkEvidence-informed policyHealth policyKnowledge exchangeKnowledge translationMeasurement instrumentQuestionnaireResearch utilisation

Identifiers

PMID28095915
PMCPMC5240393

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.