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Developing a decision aid to guide public sector health policy decisions: a study protocol
Peggy Tso1, Anthony J Culyer, Melissa Brouwers
1Department of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada. peggy.tso@utoronto.ca
This study develops a decision aid for health policymakers to systematically incorporate research and non-research evidence into population-based health policy decisions, promoting transparency.
Area of Science:
- Health Policy Research
- Decision Science
- Evidence-Informed Policy Making
Background:
- Existing decision aids are primarily for clinical contexts, not the complex policy environment.
- Health policy decision-making requires integrating diverse evidence types, including non-research-based factors.
- There is a gap in structured guidance for health policymakers to make evidence-informed decisions.
Purpose of the Study:
- To develop a decision aid for public sector health policy makers.
- To facilitate the systematic incorporation of research evidence and other factors into policy decisions.
- To support transparent policy decisions that balance all relevant considerations for population health.
Main Methods:
- A three-phase approach: modified meta-narrative review, focus groups, and Delphi method.
- Meta-narrative review to identify policy decision factors and desirable methodological features.
- Focus groups and Delphi method to refine the decision aid with end-user input.
Main Results:
- A working version of a decision aid for population-based health policy decisions.
- Identification of key factors and methodological guidance for policy decision-making.
- Refinement of the decision aid through iterative feedback from potential users.
Conclusions:
- The developed decision aid provides a structured approach for health policymakers.
- It addresses the need for systematic integration of diverse evidentiary sources.
- The aid aims to enhance the transparency and evidence base of population health policy.
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