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Exploring non-iterative time trade-off methods for valuation of EQ-5D-5L health states

Author

Listed:
  • Zhihao Yang

    (Guizhou Medical University
    Guizhou Medical University)

  • Kim Rand

    (Akershus University Hospital
    Maths in Health B.V)

  • Elly Stolk

    (EuroQol Research Foundation)

  • Jan Busschbach

    (Erasmus Medical Centrum)

  • Nan Luo

    (National University of Singapore)

Abstract

Introduction The composite time trade-off (cTTO) method is used as the primary method for valuing EQ-5D-5L health states, but it requires intensive interviewer training and stringent quality control, which increases the burden of conducting cTTO studies. In this study, two non-iterative variants of the TTO method, non-stopping TTO (nTTO) and open-ended TTO (oTTO), were tested head-to-head with the cTTO method aiming to reduce the administration burden. Methods 31 EQ-5D-5L health states from an orthogonal array was selected and valued by a general public sample in China. Data were collected by 7 interviewers with all interviewers performed an equal number of interviews using all three TTO methods. We compared the value distribution, logical consistency, administration burden, and modeling performance of these three TTO methods. Results In total, 422 participants participated in the valuation interviews, with 139 using the nTTO method, 140 using the oTTO method, and 143 using the cTTO method. Both oTTO and nTTO methods saved around 10 min for conducting an interview. The mean values of three methods were similar with each method showed different characteristics in their value distributions. cTTO outperformed the other two methods in terms of modeling performance. Discussion Both non-iterative TTO methods showed potential for valuing EQ-5D health states, although their data distributions and modeling performance were inferior to the cTTO method. The results of this study showed the potential of these two alternative non-iterative TTO methods.

Suggested Citation

  • Zhihao Yang & Kim Rand & Elly Stolk & Jan Busschbach & Nan Luo, 2024. "Exploring non-iterative time trade-off methods for valuation of EQ-5D-5L health states," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(7), pages 1087-1094, September.
  • Handle: RePEc:spr:eujhec:v:25:y:2024:i:7:d:10.1007_s10198-023-01647-x
    DOI: 10.1007/s10198-023-01647-x
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    References listed on IDEAS

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    1. Dominik Golicki & Michał Jakubczyk & Katarzyna Graczyk & Maciej Niewada, 2019. "Valuation of EQ-5D-5L Health States in Poland: the First EQ-VT-Based Study in Central and Eastern Europe," PharmacoEconomics, Springer, vol. 37(9), pages 1165-1176, September.
    2. Tara A. Lavelle & Milton C. Weinstein & Joseph P. Newhouse & Kerim Munir & Karen A. Kuhlthau & Lisa A. Prosser, 2019. "Parent Preferences for Health Outcomes Associated with Autism Spectrum Disorders," PharmacoEconomics, Springer, vol. 37(4), pages 541-551, April.
    3. Asrul Akmal Shafie & Annushiah Vasan Thakumar & Ching Jou Lim & Nan Luo & Kim Rand-Hendriksen & Faridah Aryani Md Yusof, 2019. "EQ-5D-5L Valuation for the Malaysian Population," PharmacoEconomics, Springer, vol. 37(5), pages 715-725, May.
    4. 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.
    5. Zhihao Yang & Jan van Busschbach & Reinier Timman & M F Janssen & Nan Luo, 2017. "Logical inconsistencies in time trade-off valuation of EQ-5D-5L health states: Whose fault is it?," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-10, September.
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