Publication

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

Krabbe, P. F. M., Stolk, E. A., Devlin, N. J., Xie, F., Quik, E. H. & Pickard, A. S., Nov-2017, In : European Journal of Health Economics. 18, 8, p. 967-977 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

  • Paul F M Krabbe
  • Elly A Stolk
  • Nancy J Devlin
  • Feng Xie
  • Elise H Quik
  • A Simon Pickard

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).

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.

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.

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.

Original languageEnglish
Pages (from-to)967-977
Number of pages11
JournalEuropean Journal of Health Economics
Volume18
Issue number8
Early online date2-Nov-2016
Publication statusPublished - Nov-2017

    Keywords

  • EQ-5D, Health states, Valuation methods, Discrete choice model, Visual analogue scale, VALUATION METHODS, RELIABILITY, QUANTIFICATION, PREFERENCES

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