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Allowing for uncertainty in economic evaluations: qualitative sensitivity analysis.
1Health Policy Unit, London School of Hygiene and Tropical Medicine, London, UK. damian.walker@lshtm.ac.uk
Health Policy and Planning
|December 12, 2001
Summary
Sensitivity analysis is crucial for economic evaluations, assessing uncertainty
Area of Science:
- Health Economics
- Decision Science
Background:
- Economic evaluations are vital for decision-making.
- Uncertainty is inherent in economic evaluations.
- Sensitivity analysis is essential for assessing the robustness of findings.
Purpose of the Study:
- To discuss the types of uncertainty in economic evaluations.
- To provide guidance on planning and conducting sensitivity analysis.
- To explore various sensitivity analysis techniques and their applications.
Main Methods:
- Review of uncertainty types in economic evaluations.
- Explanation of one-way and multi-way sensitivity analyses.
- Examples and discussion of specific techniques and their appropriate use.
Main Results:
- Sensitivity analysis enhances the reliability and generalizability of economic evaluation findings.
- A lack of sensitivity analysis indicates a poor-quality study.
- Key challenges include analyst control over variable selection, variation magnitude, and interpretation of results.
Conclusions:
- Clear and justified approaches to sensitivity analysis are essential.
- Increased use of diverse sensitivity analyses can improve evidence quality.
- Future developments in statistical analysis and training are anticipated.
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