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An opportunity cost approach to sample size calculation in cost-effectiveness analysis
1Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada. gafni@mcmaster.ca
Calculating sample size for clinical trial economic evaluations is crucial. This study introduces an opportunity cost approach, offering a valid alternative to incremental cost-effectiveness ratio (ICER)-based methods for determining healthcare intervention efficiency.
Area of Science:
- Health Economics
- Clinical Trial Design
- Biostatistics
Background:
- Economic evaluations in clinical trials necessitate adequate sample sizes.
- Incremental cost-effectiveness ratio (ICER) and threshold (lambda) are common efficiency metrics.
- ICER-based sample size calculations may conflict with economic opportunity cost principles.
Purpose of the Study:
- To develop and illustrate an opportunity cost approach for sample size calculations in economic evaluations alongside clinical trials.
- To compare the opportunity cost method with the ICER threshold method for sample size requirements.
- To address concerns regarding the validity of ICER-based sample size calculations.
Main Methods:
- Development of an opportunity cost framework for sample size determination.
- Illustration of the proposed method with a numerical example.
- Comparative analysis of sample size requirements between the opportunity cost and ICER threshold methods.
Main Results:
- The opportunity cost approach provides an alternative to ICER-based sample size calculations.
- Both methods may result in larger sample size requirements depending on the scenario.
- The opportunity cost method requires additional data but aligns with economic theory.
Conclusions:
- The opportunity cost approach offers a conceptually sound method for sample size calculation in economic evaluations.
- While requiring more data, this approach enhances the validity of efficiency analyses.
- Decision-makers benefit from analyses consistent with opportunity cost principles.
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