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Valuing EQ-5D-5L health states ‘in context’ using a discrete choice experiment

Author

Listed:
  • Amanda Cole

    (Office of Health Economics)

  • Koonal Shah

    (Office of Health Economics)

  • Brendan Mulhern

    (University of Technology Sydney)

  • Yan Feng

    (Office of Health Economics)

  • Nancy Devlin

    (Office of Health Economics)

Abstract

Background In health state valuation studies, health states are typically presented as a series of sentences, each describing a health dimension and severity ‘level’. Differences in the severity levels can be subtle, and confusion about which is ‘worse’ can lead to logically inconsistent valuation data. A solution could be to mimic the way patients self-report health, where the ordinal structure of levels is clear. We develop and test the feasibility of presenting EQ-5D-5L health states in the ‘context’ of the entire EQ-5D-5L descriptive system. Methods An online two-arm discrete choice experiment was conducted in the UK (n = 993). Respondents were randomly allocated to a control (standard presentation) or ‘context’ arm. Each respondent completed 16 paired comparison tasks and feedback questions about the tasks. Differences across arms were assessed using regression analyses. Results Presenting health states ‘in context’ can significantly reduce the selection of logically dominated health states, particularly for labels ‘severe’ and ‘extreme’ (χ2 = 46.02, p

Suggested Citation

  • Amanda Cole & Koonal Shah & Brendan Mulhern & Yan Feng & Nancy Devlin, 2018. "Valuing EQ-5D-5L health states ‘in context’ using a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(4), pages 595-605, May.
  • Handle: RePEc:spr:eujhec:v:19:y:2018:i:4:d:10.1007_s10198-017-0905-7
    DOI: 10.1007/s10198-017-0905-7
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    References listed on IDEAS

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    1. Bansback, Nick & Brazier, John & Tsuchiya, Aki & Anis, Aslam, 2012. "Using a discrete choice experiment to estimate health state utility values," Journal of Health Economics, Elsevier, vol. 31(1), pages 306-318.
    2. Richard Norman & Paula Cronin & Rosalie Viney, 2013. "A Pilot Discrete Choice Experiment to Explore Preferences for EQ-5D-5L Health States," Applied Health Economics and Health Policy, Springer, vol. 11(3), pages 287-298, June.
    3. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    4. Arne Risa Hole, 2006. "Small-sample properties of tests for heteroscedasticity in the conditional logit model," Economics Bulletin, AccessEcon, vol. 3(18), pages 1-14.
    5. Nancy J. Devlin & Koonal K. Shah & Yan Feng & Brendan Mulhern & Ben van Hout, 2018. "Valuing health‐related quality of life: An EQ‐5D‐5L value set for England," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 7-22, January.
    6. Mark Oppe & Kim Rand-Hendriksen & Koonal Shah & Juan M. Ramos‐Goñi & Nan Luo, 2016. "EuroQol Protocols for Time Trade-Off Valuation of Health Outcomes," PharmacoEconomics, Springer, vol. 34(10), pages 993-1004, October.
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    Cited by:

    1. Nancy J. Devlin & Koonal K. Shah & Brendan J. Mulhern & Krystallia Pantiri & Ben van Hout, 2019. "A new method for valuing health: directly eliciting personal utility functions," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(2), pages 257-270, March.
    2. Brendan Mulhern & Richard Norman & Koonal Shah & Nick Bansback & Louise Longworth & Rosalie Viney, 2018. "How Should Discrete Choice Experiments with Duration Choice Sets Be Presented for the Valuation of Health States?," Medical Decision Making, , vol. 38(3), pages 306-318, April.
    3. Brendan Mulhern & Richard Norman & Deborah J. Street & Rosalie Viney, 2019. "One Method, Many Methodological Choices: A Structured Review of Discrete-Choice Experiments for Health State Valuation," PharmacoEconomics, Springer, vol. 37(1), pages 29-43, January.
    4. Devlin, N. & Lorgelly, P. & Herdman, M., 2019. "Can We Really Compare and Aggregate PRO Data Between People and Settings? Implications for Multi-Country Clinical Trials and HTA," Research Papers 002094, Office of Health Economics.

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    More about this item

    Keywords

    EQ-5D; Health states; Valuation methods; Discrete choice experiment; Stated preferences;
    All these keywords.

    JEL classification:

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

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