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Selecting Cost-Effectiveness Methods for Health Benefits Package Design: A Systematic Approach
Cassandra Nemzoff1,2, Sedona Sweeney1, Rob Baltussen3
1London School of Hygiene and Tropical Medicine, London, UK.
International Journal of Health Policy and Management
|August 6, 2025
Summary
Selecting cost-effectiveness analysis methods for health benefits packages can be structured using adaptive health technology assessment principles. This approach balances time, data, and capacity needs for accurate, transparent HBP design.
Area of Science:
- Health economics and outcomes research
- Health policy and systems research
Background:
- Cost-effectiveness (CE) is crucial for health benefits package (HBP) design, but CE assessment is resource-intensive.
- Most HBP exercises rely on global evidence due to the demands of local CE assessment.
- A structured national process for selecting CE assessment methods is needed for accuracy, ownership, and transparency.
Purpose of the Study:
- To apply adaptive health technology assessment (aHTA) principles to the selection of CE analysis methods for HBPs.
- To provide recommendations for systematically selecting CE methods in national HBP design.
Main Methods:
- Reviewed definitions and categorizations of aHTA methods.
- Conducted a scoping review of previous HBP assessments to map CEA methods within the aHTA framework.
- Performed a survey of authors to address gaps in the literature.
Main Results:
- Four aHTA methods were identified in previous HBP assessments: expert opinion, review, model adaptation, and new model.
- aHTA methods for HBPs range from 1-13 months, requiring varied data and capacity in health economics, medicine, and public health.
- Key considerations for methods selection were discussed.
Conclusions:
- Balancing time, data, and capacity is essential for selecting appropriate CE assessment methods.
- Structured, local design of HBP assessments can be supported by adaptive methods selection.
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