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Cost-effectiveness analysis: discount the placebo at your peril
1Oxford Outcomes Ltd., Oxford, UK. neil.hawkins@oxfordoutcomes.com
Summary
Understanding placebo effects in clinical trials is crucial for accurate cost-effectiveness modeling. Different placebo mechanisms, like regression to the mean or true placebo effects, can alter optimal treatment choices and policy decisions.
Area of Science:
- Health Economics
- Clinical Trial Methodology
- Pharmacoeconomics
Background:
- Placebo responses in clinical trials can be explained by multiple mechanisms, including regression to the mean, the Hawthorne effect, and true placebo effects.
- These mechanisms have significant implications for cost-effectiveness (CE) modeling, which aims to generalize trial findings to routine clinical practice.
Purpose of the Study:
- To examine alternative mechanisms of placebo response.
- To evaluate the impact of different placebo mechanisms on cost-effectiveness modeling and generalization of trial data to clinical practice.
Main Methods:
- The study considered three alternative placebo mechanisms: regression to the mean, Hawthorne effect, and true placebo effect.
- An example analysis of adjunct epilepsy treatments was used to illustrate the effects of these mechanisms on CE estimates.
Main Results:
- Different placebo effect scenarios identified distinct optimal treatment alternatives when using a willingness-to-pay threshold of $30,000 per quality-adjusted life year (QALY).
- Cost-effectiveness ratios and policy decisions are sensitive to the assumed underlying mechanism of placebo response.
Conclusions:
- Assumptions about placebo response mechanisms significantly influence cost-effectiveness findings and healthcare policy.
- Investigating placebo mechanisms through data analysis or sensitivity analysis is recommended for robust CE modeling.
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