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A Comparison of Methods for Converting DCE Values onto the Full Health-Dead QALY Scale

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  • Donna Rowen
  • John Brazier
  • Ben Van Hout

Abstract

Background. Preference elicitation techniques such as time trade-off (TTO) and standard gamble (SG) receive criticism for their complexity and difficulties of use. Ordinal techniques such as discrete choice experiment (DCE) are arguably easier to understand but generate values that are not anchored onto the full health-dead 1-0 quality-adjusted life-year (QALY) scale required for use in economic evaluation. Methods. This article compares existing methods for converting modeled DCE latent values onto the full health-dead QALY scale: 1) anchoring DCE values using dead as valued in the DCE and 2) anchoring DCE values using TTO value for worst state to 2 new methods: 3) mapping DCE values onto TTO and 4) combining DCE and TTO data in a hybrid model. Models are compared using their ability to predict mean TTO health state values. Data. We use postal DCE data ( n = 263) and TTO data ( n = 307) collected by interview in a general population valuation study of an asthma condition-specific measure (AQL-5D). Results. New methods 3 and 4 using mapping and hybrid models are better able to predict mean TTO health state values (mean absolute difference [MAD], 0.052–0.084) than the anchor-based methods (MAD, 0.075–0.093) and were better able to predict mean TTO health state values even when using in their estimation a subsample of the available TTO data. Conclusions. These new mapping and hybrid methods have a potentially useful role for producing values on the QALY scale from data elicited using ordinal techniques such as DCE for use in economic evaluation that makes best use of the desirable properties of each elicitation technique and elicited data. Further research is encouraged.

Suggested Citation

  • Donna Rowen & John Brazier & Ben Van Hout, 2015. "A Comparison of Methods for Converting DCE Values onto the Full Health-Dead QALY Scale," Medical Decision Making, , vol. 35(3), pages 328-340, April.
  • Handle: RePEc:sae:medema:v:35:y:2015:i:3:p:328-340
    DOI: 10.1177/0272989X14559542
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    4. Haode Wang & Donna L. Rowen & John E. Brazier & Litian Jiang, 2023. "Discrete Choice Experiments in Health State Valuation: A Systematic Review of Progress and New Trends," Applied Health Economics and Health Policy, Springer, vol. 21(3), pages 405-418, May.
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    6. Fanni Rencz & Gábor Ruzsa & Alex Bató & Zhihao Yang & Aureliano Paolo Finch & Valentin Brodszky, 2022. "Value Set for the EQ-5D-Y-3L in Hungary," PharmacoEconomics, Springer, vol. 40(2), pages 205-215, December.
    7. Yiu, Hei Hang Edmund & Buckell, John & Petrou, Stavros & Stewart-Brown, Sarah & Madan, Jason, 2023. "Derivation of a UK preference-based value set for the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) to allow estimation of Mental Well-being Adjusted Life Years (MWALYs)," Social Science & Medicine, Elsevier, vol. 327(C).
    8. Koonal K. Shah & Juan Manuel Ramos-Goñi & Simone Kreimeier & Nancy J. Devlin, 2020. "An exploration of methods for obtaining 0 = dead anchors for latent scale EQ-5D-Y values," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 1091-1103, September.
    9. Hsiang-Wen Lin & Chia-Ing Li & Fang- Ju Lin & Jen-Yu Chang & Churn-Shiouh Gau & Nan Luo & A Simon Pickard & Juan M Ramos Goñi & Chao-Hsiun Tang & Chien-Ning Hsu, 2018. "Valuation of the EQ-5D-5L in Taiwan," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-16, December.
    10. Joseph Kwon & Louise Freijser & Elisabeth Huynh & Martin Howell & Gang Chen & Kamran Khan & Shahd Daher & Nia Roberts & Conrad Harrison & Sarah Smith & Nancy Devlin & Kirsten Howard & Emily Lancsar & , 2022. "Systematic Review of Conceptual, Age, Measurement and Valuation Considerations for Generic Multidimensional Childhood Patient-Reported Outcome Measures," PharmacoEconomics, Springer, vol. 40(4), pages 379-431, April.
    11. Ruvini M. Hettiarachchi & Sanjeewa Kularatna & Joshua Byrnes & Brendan Mulhern & Gang Chen & Paul A. Scuffham, 2023. "Valuing the Dental Caries Utility Index in Australia," Medical Decision Making, , vol. 43(7-8), pages 901-913, October.
    12. 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.
    13. Mina Bahrampour & Joshua Byrnes & Richard Norman & Paul A. Scuffham & Martin Downes, 2020. "Discrete choice experiments to generate utility values for multi-attribute utility instruments: a systematic review of methods," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 983-992, September.
    14. Osman, Ahmed M.Y. & Wu, Jing & He, Xiaoning & Chen, Gang, 2021. "Eliciting SF-6Dv2 health state utilities using an anchored best-worst scaling technique," Social Science & Medicine, Elsevier, vol. 279(C).

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