The fifth section of our Special Task Force report identifies and discusses two aggregation issues: 1) aggregation of cost and benefit information across individuals to a population level for benefit plan decision making and 2) combining multiple elements of value into a single value metric for individuals. First, we argue that additional elements could be included in measures of value, but such elements have not generally been included in measures of quality-adjusted life-years. For example, we describe a recently developed extended cost-effectiveness analysis (ECEA) that provides a good example of how to use a broader concept of utility. ECEA adds two features—measures of financial risk protection and income distributional consequences. We then discuss a further option for expanding this approach—augmented CEA, which can introduce many value measures. Neither of these approaches, however, provide a comprehensive measure of value. To resolve this issue, we review a technique called multicriteria decision analysis that can provide a comprehensive measure of value. We then discuss budget-setting and prioritization using multicriteria decision analysis, issues not yet fully resolved. Next, we discuss deliberative processes, which represent another important approach for population- or plan-level decisions used by many health technology assessment bodies. These use quantitative information on CEA and other elements, but the group decisions are reached by a deliberative voting process. Finally, we briefly discuss the use of stated preference methods for developing “hedonic” value frameworks, and conclude with some recommendations in this area.
Approaches to Aggregation and Decision Making—A Health Economics Approach: An ISPOR Special Task Force Report [5]
C. Phelps,D. Lakdawalla,A. Basu,M. Drummond,A. Towse,P. Danzon
Published 2018 in Value in Health
ABSTRACT
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- Publication year
2018
- Venue
Value in Health
- Publication date
2018-02-01
- Fields of study
Medicine, Computer Science, Economics
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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