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Avoiding double-counting in pharmacoeconomic studies
1Centre for Health Economics, Stockholm School of Economics, Sweden. hemj@hhs.se
Cost-utility analyses can double-count consequences by including them in both costs and quality adjustments. This study explains the double-counting problem and offers solutions for accurate quality-adjusted life year (QALY) assessments.
Area of Science:
- Health Economics
- Pharmacoeconomics
- Decision Analysis
Background:
- Cost-utility analysis (CUA) is a key method for evaluating pharmaceutical treatments.
- CUAs measure costs in monetary terms and effects as quality-adjusted life years (QALYs).
- QALYs incorporate health-related quality of life using weights from 0 (death) to 1 (perfect health).
Purpose of the Study:
- To outline the potential for double-counting in cost-utility analyses.
- To identify factors influencing the risk of double-counting.
- To propose methods for avoiding double-counting in QALY assessments.
Main Methods:
- The study reviews the principles of cost-utility analysis and QALY construction.
- It analyzes how financing of healthcare and income losses impacts double-counting.
- It examines the effect of question phrasing in quality weight assessments.
Main Results:
- Double-counting can occur when consequences are considered in both cost and QALY calculations.
- The risk of double-counting is influenced by the financing of healthcare costs and income losses.
- The phrasing of questions used to assess quality weights is critical.
Conclusions:
- Double-counting in CUAs can be avoided by instructing respondents to assume full reimbursement for healthcare costs and income losses.
- This approach ensures quality weights reflect only health and leisure changes.
- Other consequences can then be accurately incorporated into the cost estimation.
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