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EQ-5D and SF-6D health utility scores in patients with spinal and bulbar muscular atrophy

Author

Listed:
  • Richard Huan Xu

    (The Hong Kong Polytechnic University
    The Chinese University of Hong Kong)

  • Ming Lu

    (Capital Medical University)

  • Shuyang Zhang

    (Chinese Academy of Medical Science)

  • Dong Dong

    (The Chinese University of Hong Kong
    The Chinese University of Hong Kong)

Abstract

Objective This study assessed patient-reported health-related quality of life (HRQoL) using two generic preference-based measures in Chinese patients with spinal and bulbar muscular atrophy (SBMA) and identified demographic and clinical determinants of health utility scores in this population. Methods This study used cross-sectional data of 212 Chinese patients with SBMA who completed both the EQ-5D and SF-6D. Association between response to EQ-5D and SF-6D dimensions was examined using Spearman’s correlation coefficient, and the association between the two utility scores was assessed using Pearson’s correlation coefficient. The variations in utility scores across patients in different subgroups were compared using one-way ANOVA. Bland–Altman (B–A) plot was used to assess the agreement of utility scores between EQ-5D and SF-6D. A multivariate Tobit regression model was employed to estimate the association between utility scores and the presence of symptoms and chronic conditions. Results The mean utility scores for the EQ-5D and SF-6D were 0.54 and 0.56, respectively. The hypothesized correlation between the EQ-5D and SF-6D dimensions ranged from 0.31 to 0.58, and the correlation between their utility scores was 0.64. An acceptable agreement between EQ-5D and SF-6D utility scores was identified by B–A plot. Patients with chronic diseases, misdiagnosis, high financial burden, and several clinical symptoms were highly likely to report a low health utility score. Conclusions This study is the first to investigate the HRQoL of patients with SBMA worldwide. The estimated health utility scores for EQ-5D and SF-6D can be utilized as baseline data for future cost-utility analyses of SBMA-related interventions.

Suggested Citation

  • Richard Huan Xu & Ming Lu & Shuyang Zhang & Dong Dong, 2023. "EQ-5D and SF-6D health utility scores in patients with spinal and bulbar muscular atrophy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(8), pages 1399-1410, November.
    • Handle: RePEc:spr:eujhec:v:24:y:2023:i:8:d:10.1007_s10198-022-01551-w
    DOI: 10.1007/s10198-022-01551-w
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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. Norah L. Crossnohere & Ryan Fischer & Andrew Lloyd & Lisa A. Prosser & John F. P. Bridges, 2021. "Assessing the Appropriateness of the EQ-5D for Duchenne Muscular Dystrophy: A Patient-Centered Study," Medical Decision Making, , vol. 41(2), pages 209-221, February.
    3. Louise Longworth & Stirling Bryan, 2003. "An empirical comparison of EQ‐5D and SF‐6D in liver transplant patients," Health Economics, John Wiley & Sons, Ltd., vol. 12(12), pages 1061-1067, December.
    4. Richard Huan Xu & Dong Dong & Nan Luo & Eliza Lai-Yi Wong & Yushan Wu & Siyue Yu & Renchi Yang & Junshuai Liu & Huiqin Yuan & Shuyang Zhang, 2021. "Evaluating the psychometric properties of the EQ-5D-5L and SF-6D among patients with haemophilia," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(4), pages 547-557, June.
    5. John Brazier & Jennifer Roberts & Aki Tsuchiya & Jan Busschbach, 2004. "A comparison of the EQ‐5D and SF‐6D across seven patient groups," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 873-884, September.
    6. Richard Huan Xu & Eliza Lai Yi Wong & Jun Jin & Ying Dou & Dong Dong, 2020. "Mapping of the EORTC QLQ-C30 to EQ-5D-5L index in patients with lymphomas," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(9), pages 1363-1373, December.
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    More about this item

    Keywords

    Spinal and bulbar muscular atrophy; Quality of life; Health utility score; Generic preference-based measures;
    All these keywords.

    JEL classification:

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

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