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Meta-Analysis of Cost-Effectiveness
1Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, Davis, California, USA.
Statistics in Medicine
|March 18, 2026
Summary
This study introduces simple meta-analytic methods for cost-effectiveness analysis, addressing a gap in statistical approaches for combining economic and clinical data from systematic reviews.
Area of Science:
- Health Economics
- Biostatistics
- Evidence Synthesis
Background:
- Systematic reviews and meta-analyses are standard for evaluating treatment effectiveness.
- Cost-effectiveness analysis (CEA) integrates clinical and economic outcomes.
- Existing statistical methods for meta-analysis of CEA are limited and not widely adopted.
Purpose of the Study:
- To propose simple meta-analytic methods for cost-effectiveness.
- To provide a foundation for future statistical developments in this area.
- To address the methodological and statistical complexities hindering meta-analysis of CEA.
Main Methods:
- Development of novel, simplified statistical methods for meta-analysis of cost-effectiveness data.
- Application of proposed methods to two case studies from systematic reviews.
- Illustrative examples focusing on wound interventions and mental illness.
Main Results:
- Demonstration of the feasibility of applying meta-analytic techniques to cost-effectiveness data.
- Provision of practical examples showcasing the proposed methods.
- Highlighting the potential to overcome current limitations in CEA meta-analysis.
Conclusions:
- The proposed simple meta-analytic methods offer a starting point for analyzing cost-effectiveness data.
- These methods can help bridge the gap between clinical effectiveness meta-analysis and economic evaluation.
- Further research and refinement of these statistical approaches are warranted.
Keywords:
bootstrap wedgecost‐effectiveness analysiscost‐effectiveness planehealth economicsincremental cost‐effectiveness ratio (ICER)systematic reviewMore Related Videos
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