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Canada population norms for the EQ-5D-5L

Author

Listed:
  • Jiajun Yan

    (McMaster University)

  • Shitong Xie

    (McMaster University
    Tianjin University)

  • Jeffrey A. Johnson

    (University of Alberta)

  • Eleanor Pullenayegum

    (The Hospital for Sick Children
    The University of Toronto)

  • Arto Ohinmaa

    (University of Alberta)

  • Stirling Bryan

    (University of British Columbia)

  • Feng Xie

    (McMaster University)

Abstract

Objective In Canada, population norms are only available for 2 provinces, Alberta and Quebec. The objective of this study was to derive the population norms for the EQ-5D-5L based on a representative sample of the Canadian general population. Methods Data from the Canadian EQ-5D-5L valuation study, a cross-sectional study, were used. A quota sampling method was used to recruit a representative sample of the Canadian general population in terms of age, sex, and education. EQ-5D-5L utilities and EQ VAS were summarized using descriptive statistics and the impact of demographic characteristics on the EQ-5D-5L utilities was evaluated using statistical hypothesis testing and Tobit regression. Results 1207 eligible participants were included in the analysis. Pain/discomfort (53.1%) was the most frequently reported domain with any problem, and self-care (7.6%) domain was the least. The mean (standard deviation [SD]) EQ-5D-5L utility was 0.864 (0.121) and the mean (SD) EQ VAS was 82.3 (14.23). The highest mean EQ-5D-5L utility was 0.881 in age group 25–34 while the lowest was 0.839 in age group 55–64. Participants who had full-time employment, were married, a higher annual household income and no chronic health conditions had significantly higher EQ-5D-5L utilities. Conclusion This article reports the first Canadian population norms for the EQ-5D-5L and can be used as population references for economic evaluations and clinical research.

Suggested Citation

  • Jiajun Yan & Shitong Xie & Jeffrey A. Johnson & Eleanor Pullenayegum & Arto Ohinmaa & Stirling Bryan & Feng Xie, 2024. "Canada population norms for the EQ-5D-5L," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 147-155, February.
    • Handle: RePEc:spr:eujhec:v:25:y:2024:i:1:d:10.1007_s10198-023-01570-1
    DOI: 10.1007/s10198-023-01570-1
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    References listed on IDEAS

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    1. Chong-Hwan Son, 2020. "The Effects of Retirement on Health-Related Quality of Life of Retirement-Aged Adults for Four Marital Status Subgroups," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 9(1), pages 179-201, June.
    2. Shitong Xie & Jing Wu & Feng Xie, 2022. "Population Norms for SF-6Dv2 and EQ-5D-5L in China," Applied Health Economics and Health Policy, Springer, vol. 20(4), pages 573-585, July.
    3. Yee, Thomas W., 2010. "The VGAM Package for Categorical Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i10).
    4. Yee, Thomas W. & Stoklosa, Jakub & Huggins, Richard M., 2015. "The VGAM Package for Capture-Recapture Data Using the Conditional Likelihood," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 65(i05).
    5. Fredrick Dermawan Purba & Joke A M Hunfeld & Aulia Iskandarsyah & Titi Sahidah Fitriana & Sawitri S Sadarjoen & Jan Passchier & Jan J V Busschbach, 2018. "Quality of life of the Indonesian general population: Test-retest reliability and population norms of the EQ-5D-5L and WHOQOL-BREF," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-20, May.
    6. Matthew Kennedy-Martin & Bernhard Slaap & Michael Herdman & Mandy Reenen & Tessa Kennedy-Martin & Wolfgang Greiner & Jan Busschbach & Kristina S. Boye, 2020. "Which multi-attribute utility instruments are recommended for use in cost-utility analysis? A review of national health technology assessment (HTA) guidelines," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1245-1257, November.
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