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Standard health valuation methods, such as time trade-off or discrete choice experiments, are inefficient: little information is obtained from each participant. As a result, data from hundreds if not thousands of participants is required to derive health state values (=QALY-weights).
In this presentation, Paul Schneider (University of Sheffield) will report on the development of the OPUF tool; a new approach for estimating value sets for the EQ-5D-5L, or any other health descriptive system. He will share his experience building the tool, and present findings from a recent UK study, to demonstrate how it can be used to construct value sets on the individual person level.
A demo version of the OPUF tool is available at: eq5d5l.me
