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An Australian Discrete Choice Experiment To Value Eq‐5d Health States

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  • Rosalie Viney
  • Richard Norman
  • John Brazier
  • Paula Cronin
  • Madeleine T. King
  • Julie Ratcliffe
  • Deborah Street

Abstract

Conventionally, generic quality‐of‐life health states, defined within multi‐attribute utility instruments, have been valued using a Standard Gamble or a Time Trade‐Off. Both are grounded in expected utility theory but impose strong assumptions about the form of the utility function. Preference elicitation tasks for both are complicated, limiting the number of health states that each respondent can value and, therefore, that can be valued overall. The usual approach has been to value a set of the possible health states and impute values for the remainder. Discrete Choice Experiments (DCEs) offer an attractive alternative, allowing investigation of more flexible specifications of the utility function and greater coverage of the response surface. We designed a DCE to obtain values for EQ‐5D health states and implemented it in an Australia‐representative online panel (n = 1,031). A range of specifications investigating non‐linear preferences with respect to time and interactions between EQ‐5D levels were estimated using a random‐effects probit model. The results provide empirical support for a flexible utility function, including at least some two‐factor interactions. We then constructed a preference index such that full health and death were valued at 1 and 0, respectively, to provide a DCE‐based algorithm for Australian cost–utility analyses. Copyright © 2013 John Wiley & Sons, Ltd.

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  • Rosalie Viney & Richard Norman & John Brazier & Paula Cronin & Madeleine T. King & Julie Ratcliffe & Deborah Street, 2014. "An Australian Discrete Choice Experiment To Value Eq‐5d Health States," Health Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 729-742, June.
  • Handle: RePEc:wly:hlthec:v:23:y:2014:i:6:p:729-742
    DOI: 10.1002/hec.2953
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    Cited by:

    1. Brendan Mulhern & Richard Norman & Paula Lorgelly & Emily Lancsar & Julie Ratcliffe & John Brazier & Rosalie Viney, 2017. "Is Dimension Order Important when Valuing Health States Using Discrete Choice Experiments Including Duration?," PharmacoEconomics, Springer, vol. 35(4), pages 439-451, April.
    2. Marcel F. Jonker & Bas Donkers & Esther de Bekker‐Grob & Elly A. Stolk, 2019. "Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 350-363, March.
    3. R. Hoorn & A. Donders & M. Oppe & P. Stalmeier, 2014. "The Better than Dead Method: Feasibility and Interpretation of a Valuation Study," PharmacoEconomics, Springer, vol. 32(8), pages 789-799, August.
    4. 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.
    5. Arne Risa Hole & Richard Norman & Rosalie Viney, 2016. "Response Patterns in Health State Valuation Using Endogenous Attribute Attendance and Latent Class Analysis," Health Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 212-224, February.
    6. 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.
    7. John Brazier & Roberta Ara & Donna Rowen & Helene Chevrou-Severac, 2017. "A Review of Generic Preference-Based Measures for Use in Cost-Effectiveness Models," PharmacoEconomics, Springer, vol. 35(1), pages 21-31, December.
    8. Richard Norman & Rosalie Viney & John Brazier & Leonie Burgess & Paula Cronin & Madeleine King & Julie Ratcliffe & Deborah Street, 2014. "Valuing SF-6D Health States Using a Discrete Choice Experiment," Medical Decision Making, , vol. 34(6), pages 773-786, August.
    9. Kaambwa, Billingsley & Lancsar, Emily & McCaffrey, Nicola & Chen, Gang & Gill, Liz & Cameron, Ian D. & Crotty, Maria & Ratcliffe, Julie, 2015. "Investigating consumers' and informal carers' views and preferences for consumer directed care: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 140(C), pages 81-94.
    10. Edel Doherty & Anna Hobbins & David G. T. Whitehurst & Ciaran O’Neill, 2021. "An Exploration on Attribute Non-attendance Using Discrete Choice Experiment Data from the Irish EQ-5D-5L National Valuation Study," PharmacoEconomics - Open, Springer, vol. 5(2), pages 237-244, June.
    11. Richard Norman & Rebecca Mercieca‐Bebber & Donna Rowen & John E. Brazier & David Cella & A. Simon Pickard & Deborah J. Street & Rosalie Viney & Dennis Revicki & Madeleine T. King & On behalf of the Eu, 2019. "U.K. utility weights for the EORTC QLU‐C10D," Health Economics, John Wiley & Sons, Ltd., vol. 28(12), pages 1385-1401, December.
    12. Nicolas Krucien & Verity Watson & Mandy Ryan, 2017. "Is Best–Worst Scaling Suitable for Health State Valuation? A Comparison with Discrete Choice Experiments," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1-16, December.
    13. Jing Wu & Shitong Xie & Xiaoning He & Gang Chen & Gengliang Bai & Da Feng & Ming Hu & Jie Jiang & Xiaohui Wang & Hongyan Wu & Qunhong Wu & John E. Brazier, 2021. "Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension," PharmacoEconomics, Springer, vol. 39(5), pages 521-535, May.
    14. Brendan Mulhern & Nick Bansback & Arne Risa Hole & Aki Tsuchiya, 2017. "Using Discrete Choice Experiments with Duration to Model EQ-5D-5L Health State Preferences," Medical Decision Making, , vol. 37(3), pages 285-297, April.
    15. Anna Selivanova & Erik Buskens & Paul F. M. Krabbe, 2018. "Head-to-Head Comparison of EQ‐5D‐3L and EQ‐5D‐5L Health Values," PharmacoEconomics, Springer, vol. 36(6), pages 715-725, June.
    16. Edward J. D. Webb & John O’Dwyer & David Meads & Paul Kind & Penny Wright, 2020. "Transforming discrete choice experiment latent scale values for EQ-5D-3L using the visual analogue scale," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 787-800, July.
    17. Bansback, Nick & Hole, Arne Risa & Mulhern, Brendan & Tsuchiya, Aki, 2014. "Testing a discrete choice experiment including duration to value health states for large descriptive systems: Addressing design and sampling issues," Social Science & Medicine, Elsevier, vol. 114(C), pages 38-48.
    18. Koji Makino & Dominic Tilden & Carmel Guarnieri & Mia Mudge & Ian J. Baguley, 2019. "Cost Effectiveness of Long-Term Incobotulinumtoxin-A Treatment in the Management of Post-stroke Spasticity of the Upper Limb from the Australian Payer Perspective," PharmacoEconomics - Open, Springer, vol. 3(1), pages 93-102, March.
    19. Dennis A. Revicki & Madeleine T. King & Rosalie Viney & A. Simon Pickard & Rebecca Mercieca-Bebber & James W. Shaw & Fabiola Müller & Richard Norman, 2021. "United States Utility Algorithm for the EORTC QLU-C10D, a Multiattribute Utility Instrument Based on a Cancer-Specific Quality-of-Life Instrument," Medical Decision Making, , vol. 41(4), pages 485-501, May.
    20. Richard Norman & Paula Cronin & Rosalie Viney, 2012. "Deriving utility weights for the EQ-5D-5L using a discrete choice experiment. CHERE Working Paper 2012/01," Working Papers 2012/01, CHERE, University of Technology, Sydney.
    21. Sullivan, Trudy & Hansen, Paul & Ombler, Franz & Derrett, Sarah & Devlin, Nancy, 2020. "A new tool for creating personal and social EQ-5D-5L value sets, including valuing ‘dead’," Social Science & Medicine, Elsevier, vol. 246(C).
    22. Sanjeewa Kularatna & Jennifer A. Whitty & Newell W. Johnson & Ruwan Jayasinghe & Paul A. Scuffham, 2015. "Development of an EORTC-8D Utility Algorithm for Sri Lanka," Medical Decision Making, , vol. 35(3), pages 361-370, April.
    23. Ole Marten & Brendan Mulhern & Nick Bansback & Aki Tsuchiya, 2020. "Implausible States: Prevalence of EQ-5D-5L States in the General Population and Its Effect on Health State Valuation," Medical Decision Making, , vol. 40(6), pages 735-745, August.

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