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What is it going to be, TTO or SG? A direct test of the validity of health state valuation

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  • Stefan A. Lipman
  • Werner B. F. Brouwer
  • Arthur E. Attema

Abstract

Standard gamble (SG) typically yields higher health state valuations than time trade‐off (TTO), which may be caused by biases affecting both methods. It has been suggested that TTO yields more accurate health state valuations, because TTO is subject to both upward and downward biases that may cancel out. Verifying this claim, however, would require a golden standard to test validity against. In this study, we attempted to provide a first direct test of the validity of health state valuation. A total of 119 students completed five TTO and SG tasks. Afterwards, their health state valuations elicited with TTO and SG were shown to them in an interactive graph. Respondents were asked to indicate which of the methods represented their valuation of a health state best. They could also adjust their valuation. Overall, we found that respondents indicated that TTO valuations better reflected health state valuations, a result that was more pronounced for more severe health states. When offered the opportunity, on average, respondents adjusted health state valuations downwards. These findings may have implications for future work on (bias correction in) health state valuations.

Suggested Citation

  • Stefan A. Lipman & Werner B. F. Brouwer & Arthur E. Attema, 2020. "What is it going to be, TTO or SG? A direct test of the validity of health state valuation," Health Economics, John Wiley & Sons, Ltd., vol. 29(11), pages 1475-1481, November.
    • Handle: RePEc:wly:hlthec:v:29:y:2020:i:11:p:1475-1481
    DOI: 10.1002/hec.4131
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    1. Chris Sampson’s journal round-up for 2nd November 2020
      by Chris Sampson in The Academic Health Economists' Blog on 2020-11-02 12:00:08
    2. Thesis Thursday: Stefan Lipman
      by Chris Sampson in The Academic Health Economists' Blog on 2021-01-21 07:00:04

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    2. Jose-Maria Abellan-Perpiñan & Jorge-Eduardo Martinez-Perez & Jose-Luis Pinto-Prades & Fernando-Ignacio Sanchez-Martinez, 2024. "Testing Nonmonotonicity in Health Preferences," Medical Decision Making, , vol. 44(1), pages 42-52, January.
    3. David J. Mott & Nancy J. Devlin & Simone Kreimeier & Richard Norman & Koonal K. Shah & Oliver Rivero-Arias, 2022. "Analytical Considerations When Anchoring Discrete Choice Experiment Values Using Composite Time Trade-Off Data: The Case of EQ-5D-Y-3L," PharmacoEconomics, Springer, vol. 40(2), pages 129-137, December.

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