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The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Using conjoint analysis to develop a system to score research engagement actions by health decision makers
Steve R Makkar1, Anna Williamson2, Tari Turner3
1The Sax Institute, Level 13, Building 10, 235 Jones Street, Ultimo, New South Wales, 2007, Australia. steve.makkar@saxinstitute.org.au.
A new scoring tool measures how policymakers use research for policy development. Key actions include searching literature, appraising relevance and quality, and collaborating with researchers to enhance evidence-informed policymaking.
Area of Science:
- Policy analysis
- Knowledge translation
- Evidence-informed policymaking
Background:
- Effective policymaking relies on research engagement by policymakers.
- A scoring tool was developed to measure research engagement actions in policy development.
- The tool breaks down actions into subactions for detailed assessment.
Purpose of the Study:
- To refine a scoring tool for measuring policymaker research engagement.
- To assign scores to subactions based on their effectiveness in evidence-informed policymaking.
- To establish the relative importance of research engagement subactions using expert input.
Main Methods:
- Conjoint analysis was employed with 54 knowledge translation experts.
- Experts rated combinations of research engagement subactions on a 1-9 scale.
- Generalised estimating equations analyzed choice data to calculate utility coefficients for each subaction.
Main Results:
- Utility coefficients quantified the influence of each subaction on research engagement.
- Subactions with the highest utilities were identified as most critical.
- Key impactful subactions include literature searching, obtaining systematic reviews, appraising relevance and quality, and collaborating with researchers.
Conclusions:
- An empirically-derived scoring system measures policymaker research engagement.
- The system provides insights for improving staff research use capacity.
- Organizations can use this tool to identify training and system needs for better evidence-informed policy development.
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