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Published on: February 11, 2019
Cost-utility in CNS drug trials
Summary
Conducting cost-utility analyses in clinical trials presents significant theoretical and practical challenges. Researchers should prioritize cost-effectiveness, cost-benefit, and quality-of-life assessments over utility measurements.
Area of Science:
- Health Economics
- Clinical Trial Methodology
- Decision Science
Background:
- Cost-utility analysis (CUA) is increasingly used in healthcare decision-making.
- Integrating CUA into clinical trials requires measuring health state utilities.
- Existing utility measurement methods face theoretical and practical limitations.
Purpose of the Study:
- To critically evaluate the theoretical and practical challenges of conducting cost-utility analyses alongside clinical trials.
- To assess the validity and feasibility of different utility measurement instruments.
- To provide recommendations for economic evaluations in clinical settings.
Main Methods:
- Review of theoretical assumptions underlying utility measurement.
- Discussion of practical challenges in administering utility instruments within clinical trials.
- Comparative analysis of the standard gamble and other utility measurement techniques.
Main Results:
- Utility measurement in clinical trials relies on questionable theoretical assumptions and empirically invalid premises.
- The standard gamble, while the most validated method, is assumption-heavy, costly, and difficult to implement.
- Alternative utility instruments demonstrate lower validity compared to the standard gamble.
Conclusions:
- The theoretical and practical difficulties render utility measurement in clinical trials problematic.
- Investigators are advised against using utility assessments in CUA within clinical trials.
- Alternative economic endpoints such as cost-effectiveness, cost-benefit, and quality of life are recommended.
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