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Comparative performance and mapping algorithms between EQ-5D-5L and SF-6Dv2 among the Chinese general population

Author

Listed:
  • Shitong Xie

    (Tianjin University
    McMaster University)

  • Jing Wu

    (Tianjin University
    Center for Social Science Survey and Data, Tianjin University)

  • Gang Chen

    (Centre for Health Economics, Monash Business School, Monash University)

Abstract

Objectives To explore the comparative performance and develop the mapping algorithms between EQ-5D-5L and SF-6Dv2 in China. Methods Respondents recruited from the Chinese general population completed both EQ-5D-5L and SF-6Dv2 during face-to-face interviews. Ceiling/floor effects were reported. Discriminative validity in self-reported chronic conditions was investigated using the effect sizes (ES). Test–retest reliability was evaluated using intra-class correlation coefficient (ICC) and Bland–Altman plots in a subsample. Correlation and absolute agreements between the two measures were estimated with Spearman’s rank correlation coefficient and ICC, respectively. Ordinary least squares (OLS), generalized linear model, Tobit model, and robust MM-estimator were explored to estimate mapping equations between EQ-5D-5L and SF-6Dv2. Results 3320 respondents (50.3% males; age 18–90 years) were recruited. 51.1% and 12.2% of respondents reported no problems on all EQ-5D-5L and SF-6Dv2 dimensions, respectively. The mean EQ-5D-5L utility was higher than SF-6Dv2 (0.947 vs. 0.827, p

Suggested Citation

  • Shitong Xie & Jing Wu & Gang Chen, 2024. "Comparative performance and mapping algorithms between EQ-5D-5L and SF-6Dv2 among the Chinese general population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 7-19, February.
    • Handle: RePEc:spr:eujhec:v:25:y:2024:i:1:d:10.1007_s10198-023-01566-x
    DOI: 10.1007/s10198-023-01566-x
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    More about this item

    Keywords

    EQ-5D; SF-6D; Discriminative validity; Test–retest reliability; Mapping; China;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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