ArticleHealth research policy and systems2015
Using conjoint analysis to develop a system of scoring policymakers' use of research in policy and program development.
Article in Health research policy and systems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Individual and institutional capacity-building for evidence-informed health policy-making in Iran: a mix of local and global evidence.Health research policy and systems · 2022Pooled it
- Increasing the capacity of policy agencies to use research findings: a stepped-wedge trial.Health research policy and systems · 2019Trial
- Integrating animal welfare into the WHO pandemic treaty: a thematic analysis of civil society perspectives and comparison with treaty drafting.Frontiers in veterinary science · 2024Article
- Connections between health research systems and decision-making spaces: lessons from the COVID-19 pandemic in the province of Québec, Canada.Health research policy and systems · 2023Article
- Using Conjoint Analysis to Investigate Hospital Directors' Preference in Adoption of an Evidence-based Intervention.International journal of healthcare management · 2021Article
- How was research engaged with and used in the development of 131 policy documents? Findings and measurement implications from a mixed methods study.Implementation science : IS · 2019Article
- Organisational capacity and its relationship to research use in six Australian health policy agencies.PloS one · 2018Article
- Promoting evidence informed policymaking for maternal and child health in Nigeria: lessons from a knowledge translation workshop.Health promotion perspectives · 2018Article
- Preliminary testing of the reliability and feasibility of SAGE: a system to measure and score engagement with and use of research in health policies and programs.Implementation science : IS · 2017Article
- Policymakers' experience of a capacity-building intervention designed to increase their use of research: a realist process evaluation.Health research policy and systems · 2017Article
- The development of ORACLe: a measure of an organisation's capacity to engage in evidence-informed health policy.Health research policy and systems · 2016Article
- Situation Analysis of Healthcare Standards and Criteria That Contribute to the Care of Residents in Homes for Older People in Tanzania.Gerontology & geriatric medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe importance of utilising the best available research evidence in the development of health policies, services, and programs is increasingly recognised, yet few standardised systems for quantifying policymakers' research use are available. We developed a comprehensive measurement and scoring tool that assesses four domains of research use (i.e. instrumental, conceptual, tactical, and imposed). The scoring tool breaks down each domain into its key subactions like a checklist. Our aim was to develop a tool that assigned appropriate scores to each subaction based on its relative importance to undertaking evidence-informed health policymaking. In order to establish the relative importance of each research use subaction and generate this scoring system, we conducted conjoint analysis with a sample of knowledge translation experts.
methodsFifty-four experts were recruited to undertake four choice surveys. Respondents were shown combinations of research use subactions called profiles, and rated on a 1 to 9 scale whether each profile represented a limited (1-3), moderate (4-6), or extensive (7-9) example of research use. Generalised Estimating Equations were used to analyse respondents' choice data, which calculated a utility coefficient for each subaction. A large utility coefficient indicated that a subaction was particularly influential in guiding experts' ratings of extensive research use.
resultsUtility coefficients were calculated for each subaction, which became the points assigned to the subactions in the scoring system. The following subactions yielded the largest utilities and were regarded as the most important components of each research use domain: using research to directly influence the core of the policy decision; using research to inform alternative perspectives to deal with the policy issue; using research to persuade targeted stakeholders to support a predetermined decision; and using research because it was a mandated requirement by the policymaker's organisation.
conclusionsWe have generated an empirically derived and context-sensitive means of measuring and scoring the extent to which policymakers used research to inform the development of a policy document. The scoring system can be used by organisations to not only quantify the extent of their research use, but also to provide them with insights into potential strategies to improve subsequent research use.
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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.