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Using multicriteria decision analysis to support research priority setting in biomedical translational research
Gimon de Graaf1, Douwe Postmus1, Erik Buskens1
1Department of Epidemiology, University of Groningen, University Medical Center Groningen, 9700 RB Groningen, Netherlands.
Biomed Research International
|October 24, 2015
Summary
Multicriteria decision analysis aids translational research investment. Stochastic multicriteria acceptability analysis found secondary prevention novel techniques a poor investment for type 2 diabetes research.
Area of Science:
- Health Services Research
- Decision Science
- Translational Research
Background:
- Translational research requires strategic investment to meet economic and societal goals.
- Prioritizing research investments is crucial for maximizing impact, particularly in chronic disease management.
- Type 2 diabetes poses a significant disease burden, necessitating efficient research funding allocation.
Purpose of the Study:
- To apply multicriteria decision analysis (MCDA) for prioritizing translational research investments.
- To support decision-making within a translational research consortium focused on type 2 diabetes.
- To evaluate the utility of MCDA in integrating diverse data and expert opinions for research priority setting.
Main Methods:
- Described the application of MCDA for defining decision contexts and incorporating relevant aspects.
- Conducted a case study for priority setting in type 2 diabetes translational research.
- Utilized stochastic multicriteria acceptability analysis (SMAA) with expert judgment and existing data for scoring research alternatives.
Main Results:
- Identified four research alternatives: primary, secondary, tertiary microvascular, and tertiary macrovascular prevention.
- Scored alternatives against six decision criteria using expert judgment and published data.
- Found that developing novel techniques for secondary prevention is an unfavorable research investment.
Conclusions:
- MCDA is a valuable tool for structuring complex research investment decisions.
- The ranking of research alternatives for type 2 diabetes prevention is sensitive to decision-maker preferences.
- SMAA effectively integrates quantitative and qualitative data for robust priority setting in translational research.
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