1. Embedding stakeholder preferences in setting priorities for health research: Using a discrete choice experiment to develop a multi-criteria tool for evaluating research proposals.
- Author
-
Taylor WJ, Tuffaha H, Hawley CM, Peyton P, Higgins AM, Scuffham PA, Nemeh F, Balagurunathan A, Hansen P, Jacques A, and Morton RL
- Subjects
- Cross-Sectional Studies, Australia, Surveys and Questionnaires, Health Priorities, Research Design, Health Services Research
- Abstract
We determined weights for a multi-criteria tool for assessing the relative merits of clinical-trial research proposals, and investigated whether the weights vary across relevant stakeholder groups. A cross-sectional, adaptive discrete choice experiment using 1000minds online software was administered to consumers, researchers and funders affiliated with the Australian Clinical Trials Alliance (ACTA). We identified weights for four criteria-Appropriateness, Significance, Relevance, Feasibility-and their levels, representing their relative importance, so that research proposals can be scored between 0% (nil or very low merit) and 100% (very high merit). From 220 complete survey responses, the most important criterion was Appropriateness (adjusted for differences between stakeholder groups, mean weight 28.9%) and the least important was Feasibility (adjusted mean weight 19.5%). Consumers tended to weight Relevance more highly (2.7% points difference) and Feasibility less highly (3.1% points difference) than researchers. The research or grant writing experience of researchers or consumers was not associated with the weights. A multi-criteria tool for evaluating research proposals that reflects stakeholders' preferences was created. The tool can be used to assess the relative merits of clinical trial research proposals and rank them, to help identify the best proposals for funding., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Taylor et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2023
- Full Text
- View/download PDF