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

Author

Listed:
  • Paul F. M. Krabbe

    (University of Groningen)

  • Elly A. Stolk

    (EuroQol Research Foundation)

  • Nancy J. Devlin

    (Office of Health Economics)

  • Feng Xie

    (McMaster University)

  • Elise H. Quik

    (University of Groningen)

  • A. Simon Pickard

    (University of Illinois at Chicago)

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.

Suggested Citation

  • Paul F. M. Krabbe & Elly A. Stolk & Nancy J. Devlin & Feng Xie & Elise H. Quik & A. Simon Pickard, 2017. "Head-to-head comparison of health-state values derived by a probabilistic choice model and scores on a visual analogue scale," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(8), pages 967-977, November.
  • Handle: RePEc:spr:eujhec:v:18:y:2017:i:8:d:10.1007_s10198-016-0841-y
    DOI: 10.1007/s10198-016-0841-y
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    References listed on IDEAS

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    1. Han Bleichrodt & Magnus Johannesson, 1997. "An Experimental Test of a Theoretical Foundation for Rating-scale Valuations," Medical Decision Making, , vol. 17(2), pages 208-216, April.
    2. McCabe, Christopher & Brazier, John & Gilks, Peter & Tsuchiya, Aki & Roberts, Jennifer & O'Hagan, Anthony & Stevens, Katherine, 2006. "Using rank data to estimate health state utility models," Journal of Health Economics, Elsevier, vol. 25(3), pages 418-431, May.
    3. Eleanor Pullenayegum & Feng Xie, 2013. "Scoring the 5-Level EQ-5D," Medical Decision Making, , vol. 33(4), pages 567-578, May.
    4. Alan Schwartz, 1998. "Rating Scales in Context," Medical Decision Making, , vol. 18(2), pages 236-236.
    5. Paul F. M. Krabbe & Joshua A. Salomon & Christopher J. L. Murray, 2007. "Quantification of Health States with Rank-Based Nonmetric Multidimensional Scaling," Medical Decision Making, , vol. 27(4), pages 395-405, July.
    6. Angela Robinson & Graham Loomes & Michael Jones-Lee, 2001. "Visual Analog Scales, Standard Gambles, and Relative Risk Aversion," Medical Decision Making, , vol. 21(1), pages 17-27, February.
    7. van Agt, Heleen M. E. & Essink-Bot, Marie-Louise & Krabbe, Paul F. M. & Bonsel, Gouke J., 1994. "Test-retest reliability of health state valuations collected with the EuroQol questionnaire," Social Science & Medicine, Elsevier, vol. 39(11), pages 1537-1544, December.
    8. Krabbe, Paul F. M. & Essink-Bot, Marie-Louise & Bonsel, Gouke J., 1997. "The comparability and reliability of five health-state valuation methods," Social Science & Medicine, Elsevier, vol. 45(11), pages 1641-1652, December.
    9. Zafar Hakim & Dev S. Pathak, 1999. "Modelling the EuroQol data: a comparison of discrete choice conjoint and conditional preference modelling," Health Economics, John Wiley & Sons, Ltd., vol. 8(2), pages 103-116, March.
    10. George W. Torrance & David Feeny & William Furlong, 2001. "Visual Analog Scales," Medical Decision Making, , vol. 21(4), pages 329-334, August.
    11. Koonal Shah & Andrew Lloyd & Mark Oppe & Nancy Devlin, 2013. "One-to-one versus group setting for conducting computer-assisted TTO studies: findings from pilot studies in England and the Netherlands," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 65-73, July.
    12. Torrance, George W., 1976. "Social preferences for health states: An empirical evaluation of three measurement techniques," Socio-Economic Planning Sciences, Elsevier, vol. 10(3), pages 129-136.
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    More about this item

    Keywords

    EQ-5D; Health states; Valuation methods; Discrete choice model; Visual analogue scale;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General

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