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The EORTC QLU-C10D is a valid cancer-specific preference-based measure for cost-utility and health technology assessment in the Netherlands

Author

Listed:
  • Micha J. Pilz

    (University Hospital of Psychiatry II, Medical University Innsbruck
    Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences and Technology)

  • Simon Seyringer

    (Medical University of Innsbruck)

  • Lára R. Hallsson

    (Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences and Technology)

  • Andrew Bottomley

    (European Organisation for Research and Treatment of Cancer)

  • Femke Jansen

    (Amsterdam UMC Location Vrije Universiteit Amsterdam
    Cancer Center Amsterdam, Treatment and Quality of Life
    Vrije Universiteit Amsterdam)

  • Madeleine T. King

    (University of Sydney)

  • Richard Norman

    (Curtin University)

  • Marianne J. Rutten

    (Amsterdam UMC)

  • Irma M. Verdonck-de Leeuw

    (Amsterdam UMC Location Vrije Universiteit Amsterdam
    Cancer Center Amsterdam, Treatment and Quality of Life
    Vrije Universiteit Amsterdam
    Amsterdam Public Health, Mental Health)

  • Peter D. Siersema

    (Radboud University Medical Center
    Erasmus MC/University Medical Center)

  • Eva Maria Gamper

    (University Hospital of Psychiatry II, Medical University Innsbruck
    Medical University of Innsbruck)

Abstract

Background Cost-utility analysis typically relies on preference-based measures (PBMs). While generic PBMs are widely used, disease-specific PBMs can capture aspects relevant for certain patient populations. Here the EORTC QLU-C10D, a cancer-specific PBM based on the QLQ-C30, is validated using Dutch trial data with the EQ-5D-3L as a generic comparator measure. Methods We retrospectively analysed data from four Dutch randomised controlled trials (RCTs) comprising the EORTC QLQ-C30 and the EQ-5D-3L. Respective Dutch value sets were applied. Correlations between the instruments were calculated for domains and index scores. Bland–Altman plots and intra-class correlations (ICC) displayed agreement between the measures. Independent and paired t-tests, effect sizes and relative validity indices were used to determine the instruments’ performance in detecting clinically known-group differences and health changes over time. Results We analysed data from 602 cancer patients from four different trials. In overall, the EORTC QLU-C10D showed good relative validity with the EQ-5D-3L as a comparator (correlations of index scores r = 0.53–0.75, ICCs 0.686–0.808, conceptually similar domains showed higher correlations than dissimilar domains). Most importantly, it detected 63% of expected clinical group differences and 50% of changes over time in patients undergoing treatment. Both instruments showed poor performance in survivors. Detection rate and measurement efficiency were clearly higher for the QLU-C10D than for the EQ-5D-3L. Conclusions The Dutch EORTC QLU-C10D showed good comparative validity in patients undergoing treatment. Our results underline the benefit that can be achieved by using a cancer-specific PBM for generating health utilities for cancer patients from a measurement perspective.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:eujhec:v:25:y:2024:i:9:d:10.1007_s10198-024-01670-6
    DOI: 10.1007/s10198-024-01670-6
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    References listed on IDEAS

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    More about this item

    Keywords

    Cancer-specific preference-based measure; EORTC QLU-C10D; EQ-5D-3L; Validity; Responsiveness;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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