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Estimation of an EORTC QLU-C10 Value Set for Spain Using a Discrete Choice Experiment

Author

Listed:
  • Aureliano Paolo Finch

    (Bocconi University
    Health Values Research and Consultancy)

  • Eva Gamper

    (Medical University of Innsbruck)

  • Richard Norman

    (Curtin University)

  • Rosalie Viney

    (University of Technology Sydney (UTS))

  • Bernhard Holzner

    (Medical University of Innsbruck
    Medical University of Innsbruck)

  • Madeleine King

    (University of Sydney)

  • Georg Kemmler

    (Medical University of Innsbruck)

Abstract

Background The EORTC QLU-C10D is a preference-based measure derived from the EORTC QLQ-C30. For use in economic evaluations, country-specific value sets are needed. This study aimed to generate an EORTC QLU-C10 value set for Spain. Methods A sample of the Spanish general population completed an online discrete choice experiment. An attribute-balanced incomplete block design was used to select 960 choice tasks, with a total of 1920 health states. Each participant was randomly assigned 16 choice sets without replacement. Data were modelled using generalized estimating equations and mixed logistic regressions. Results A total of 1625 panel members were invited to participate, 1010 of whom were included in the study. Dimension decrements were generally monotonic with larger disutilities at increased severity levels. Dimensions associated with larger decrements were physical functioning and pain, while the dimension with the smallest decrement was sleep disturbances. The PITS state (i.e. worst attainable health) for the Spanish population is − 0.043. Conclusions This study generated the first Spanish value set for the QLU-C10D. This can facilitate cost-utility analyses when applied to data collected with the EORTC QLQ-C30.

Suggested Citation

  • Aureliano Paolo Finch & Eva Gamper & Richard Norman & Rosalie Viney & Bernhard Holzner & Madeleine King & Georg Kemmler, 2021. "Estimation of an EORTC QLU-C10 Value Set for Spain Using a Discrete Choice Experiment," PharmacoEconomics, Springer, vol. 39(9), pages 1085-1098, September.
    • Handle: RePEc:spr:pharme:v:39:y:2021:i:9:d:10.1007_s40273-021-01058-x
    DOI: 10.1007/s40273-021-01058-x
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    References listed on IDEAS

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    1. Brazier, John & Ratcliffe, Julie & Salomon, Joshua & Tsuchiya, Aki, 2016. "Measuring and Valuing Health Benefits for Economic Evaluation," OUP Catalogue, Oxford University Press, edition 2, number 9780198725923.
    2. 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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    Cited by:

    1. Richard Huan Xu & Eliza Lai-yi Wong & Nan Luo & Richard Norman & Jens Lehmann & Bernhard Holzner & Madeleine T. King & Georg Kemmler, 2024. "The EORTC QLU-C10D: the Hong Kong valuation study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(5), pages 889-901, July.
    2. Finch, Aureliano Paolo & Mulhern, Brendan, 2022. "Where do measures of health, social care and wellbeing fit within a wider measurement framework? Implications for the measurement of quality of life and the identification of bolt-ons," Social Science & Medicine, Elsevier, vol. 313(C).
    3. Micha J. Pilz & Simon Seyringer & Lára R. Hallsson & Andrew Bottomley & Femke Jansen & Madeleine T. King & Richard Norman & Marianne J. Rutten & Irma M. Verdonck-de Leeuw & Peter D. Siersema & Eva Mar, 2024. "The EORTC QLU-C10D is a valid cancer-specific preference-based measure for cost-utility and health technology assessment in the Netherlands," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(9), pages 1539-1555, December.

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