Head-to-head comparison of health-state values derived by a probabilistic choice model and scores on a visual analogue scale

Paul F. M. Krabbe (), Elly A. Stolk (), Nancy Devlin (), Feng Xie (), Elise H. Quik () and A. Simon Pickard ()
Additional contact information
Paul F. M. Krabbe: University of Groningen
Elly A. Stolk: EuroQol Research Foundation
Feng Xie: McMaster University
Elise H. Quik: University of Groningen
A. Simon Pickard: University of Illinois at Chicago

The European Journal of Health Economics, 2017, vol. 18, issue 8, No 3, 967-977

Abstract: Abstract Background Health states were quantified based on discrete choice (DC) modeling and visual analogue scale (VAS) values using the five-level version of the EQ-5D (EQ-5D-5L). The aim of this study was to determine the extent of the relationship between DC derived values (indirect method) and VAS values (direct method). Methods Data were collected in Canada, the United Kingdom, the Netherlands, and the United States. Respondents were asked to perform paired comparisons between two EQ-5D-5L health states for DC. In total, 400 different EQ-5D-5L states were included. After each DC task, respondents were prompted to score the two states one after another on a VAS. Intraclass correlation coefficients were calculated between DC and VAS values and illuminating graphs were designed. Results Approximately 400 respondents participated from each country. High similarity [individual intraclass correlation coefficients (ICC) >0.85] of DC and moderate correspondence of VAS values were observed for the four countries. Cross-country comparison of DC values shows a nonlinear relationship to the VAS values. Conclusion EQ-5D-5L derived DC and VAS values show a close but nonlinear relationship. Given the obvious biases associated with the VAS, DC methods based on ordinal responses may be a better alternative.

Keywords: EQ-5D; Health states; Valuation methods; Discrete choice model; Visual analogue scale (search for similar items in EconPapers)
JEL-codes: I10 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10198-016-0841-y

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