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An exploration of methods for obtaining 0 = dead anchors for latent scale EQ-5D-Y values

Author

Listed:
  • Koonal K. Shah

    (PHMR
    University of Sheffield
    Office of Health Economics)

  • Juan Manuel Ramos-Goñi

    (Axentiva Solutions
    Office of the EuroQol Research Foundation)

  • Simone Kreimeier

    (Bielefeld University)

  • Nancy J. Devlin

    (University of Sheffield
    Office of Health Economics
    University of Melbourne)

Abstract

Objectives Discrete choice experiments (DCEs) can be used to obtain latent scale values for the EQ-5D-Y, but these require anchoring at 0 = dead to meet the conventions of quality-adjusted life year (QALY) estimation. The primary aim of this study is to compare four preference elicitation methods for obtaining anchors for latent scale EQ-5D-Y values. Methods Four methods were tested: visual analogue scale (VAS), DCE (with a duration attribute), lag-time time trade-off (TTO) and the location-of-dead (LOD) approach. In computer-assisted personal interviews, UK general public respondents valued EQ-5D-3L health states from an adult perspective and EQ-5D-Y health states from a 10-year-old child perspective. Respondents completed valuation tasks using all four methods, under both perspectives. Results 349 interviews were conducted. Overall, respondents gave lower values under the adult perspective compared to the child perspective, with some variation across methods. The mean TTO value for the worst health state (33333) was about equal to dead in the child perspective and worse than dead in the adult perspective. The mean VAS rescaled value for 33333 was also higher in the child perspective. The DCE produced positive child perspective values and negative adult perspective values, though the models were not consistent. The LOD median rescaled value for 33333 was negative under both perspectives and higher in the child perspective. Discussion There was broad agreement across methods. Potential criteria for selecting a preferred anchoring method are presented. We conclude by discussing the decision-making circumstances under which utilities and QALY estimates for children and adults need to be commensurate to achieve allocative efficiency.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:eujhec:v:21:y:2020:i:7:d:10.1007_s10198-020-01205-9
    DOI: 10.1007/s10198-020-01205-9
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    References listed on IDEAS

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    1. Nancy Devlin & Ken Buckingham & Koonal Shah & Aki Tsuchiya & Carl Tilling & Grahame Wilkinson & Ben van Hout, 2013. "A Comparison Of Alternative Variants Of The Lead And Lag Time Tto," Health Economics, John Wiley & Sons, Ltd., vol. 22(5), pages 517-532, May.
    2. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    3. 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.
    4. David Parkin & Nancy Devlin, 2006. "Is there a case for using visual analogue scale valuations in cost‐utility analysis?," Health Economics, John Wiley & Sons, Ltd., vol. 15(7), pages 653-664, July.
    5. Leslie A. Lenert & Daniel J. Cher & Mary K. Goldstein & Merlynn R. Bergen & Alan Garber, 1998. "The Effect of Search Procedures on Utility Elicitations," Medical Decision Making, , vol. 18(1), pages 76-83, January.
    6. 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.
    7. Paul Dolan & Jan Abel Olsen & Paul Menzel & Jeff Richardson, 2003. "An inquiry into the different perspectives that can be used when eliciting preferences in health," Health Economics, John Wiley & Sons, Ltd., vol. 12(7), pages 545-551, July.
    8. Federico Augustovski & Lucila Rey-Ares & Vilma Irazola & Mark Oppe & Nancy Devlin, 2013. "Lead versus lag-time trade-off variants: does it make any difference?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 25-31, July.
    9. Kristina Ludwig & J.-Matthias Graf von der Schulenburg & Wolfgang Greiner, 2018. "German Value Set for the EQ-5D-5L," PharmacoEconomics, Springer, vol. 36(6), pages 663-674, June.
    10. 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.
    11. Patricia Cubi-Molla & Koonal Shah & Kristina Burström, 2018. "Experience-Based Values: A Framework for Classifying Different Types of Experience in Health Valuation Research," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(3), pages 253-270, June.
    12. 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.
    Full references (including those not matched with items on IDEAS)

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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Chris Sampson’s journal round-up for 7th September 2020
      by Chris Sampson in The Academic Health Economists' Blog on 2020-09-07 11:00:07

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    Cited by:

    1. Stefan A. Lipman & Liying Zhang & Koonal K. Shah & Arthur E. Attema, 2023. "Time and lexicographic preferences in the valuation of EQ-5D-Y with time trade-off methodology," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(2), pages 293-305, March.
    2. Cristina Gutierrez-Delgado & Rosa-María Galindo-Suárez & Cesar Cruz-Santiago & Koonal Shah & Manny Papadimitropoulos & Yan Feng & Bernarda Zamora & Nancy Devlin, 2021. "EQ-5D-5L Health-State Values for the Mexican Population," Applied Health Economics and Health Policy, Springer, vol. 19(6), pages 905-914, November.
    3. S. A. Lipman & V. T. Reckers-Droog & M. Karimi & M. Jakubczyk & A. E. Attema, 2021. "Self vs. other, child vs. adult. An experimental comparison of valuation perspectives for valuation of EQ-5D-Y-3L health states," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1507-1518, December.
    4. Finch, Aureliano Paolo & Meregaglia, Michela & Ciani, Oriana & Roudijk, Bram & Jommi, Claudio, 2022. "An EQ-5D-5L value set for Italy using videoconferencing interviews and feasibility of a new mode of administration," Social Science & Medicine, Elsevier, vol. 292(C).

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    More about this item

    Keywords

    EQ-5D-Y; Children; Valuation; Stated preferences; Quality-adjusted life year;
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    JEL classification:

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

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