Mapping the World Health Organization Disability Assessment Scale 2.0 to the EQ-5D-5L in patients with mental disorders.

IF 1.8 4区医学 Q3 HEALTH CARE SCIENCES & SERVICES

Expert Review of Pharmacoeconomics & Outcomes Research Pub Date : 2024-10-01 Epub Date: 2024-07-11 DOI:10.1080/14737167.2024.2376100

Edimansyah Abdin, Vanessa Seet, Anitha Jeyagurunathan, Sing Chik Tan, Muhammad Iskandar Shah Mohmad Khalid, Yee Ming Mok, Swapna Verma, Mythily Subramaniam

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引用次数: 0

Abstract

Objective: The current study aims to develop an algorithm for mapping the WHODAS 2.0 to the EQ-5D-5 L for patients with mental disorders.

Methods: This cross-sectional study was conducted at the Institute of Mental Health and Community Wellness Clinics in Singapore between June 2019 and November 2022. We included four regression methods including the Ordinary Least Square (OLS) regression, the Tobit regression model (Tobit), the robust regression with MM estimator (MM), and the adjusted limited dependent variable mixture model (ALDVMM) to map EQ-5D-5 L utility scores from the WHODAS 2.0.

Results: A total of 797 participants were included. The mean EQ-5D-5 L utility and WHODAS 2.0 total scores were 0.615 (SD = 0.342) and 11.957 (SD = 8.969), respectively. We found that the EQ-5D-5 L utility score was best predicted by the robust regression model with the MM estimator. Our findings suggest that the WHODAS 2.0 total scores were significantly and inversely associated with the EQ-5D-5 L utility scores.

Conclusion: This study provides a mapping algorithm for converting the WHODAS 2.0 scores into EQ-5D-5 L utility scores which can be implemented using a simple online calculator in the following web application: https://eastats.shinyapps.io/whodas_eq5d/.

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将世界卫生组织残疾评估量表 2.0 与精神障碍患者的 EQ-5D-5L 相匹配。

研究目的本研究旨在为精神障碍患者开发一种将WHODAS 2.0与EQ-5D-5 L进行映射的算法：这项横断面研究于2019年6月至2022年11月期间在新加坡精神卫生研究所和社区健康诊所进行。我们采用了四种回归方法，包括普通最小二乘法（OLS）回归、托比特回归模型（Tobit）、MM估计器稳健回归（MM）和调整有限因变量混合模型（ALDVMM），以绘制WHODAS 2.0的EQ-5D-5 L效用分数：共纳入 797 名参与者。EQ-5D-5 L效用和WHODAS 2.0总分的平均值分别为0.61（SD = 0.34）和11.96（SD = 8.97）。我们发现，EQ-5D-5 L 实用性得分在使用 MM 估计器的稳健回归模型中得到了最佳预测。我们的研究结果表明，WHODAS 2.0总分与EQ-5D-5 L效用得分呈显著的反比关系：本研究提供了一种将WHODAS 2.0评分转换为EQ-5D-5 L效用评分的映射算法，该算法可通过以下网络应用程序中的简单在线计算器实现：https://eastats.shinyapps.io/whodas_eq5d/。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Expert Review of Pharmacoeconomics & Outcomes Research HEALTH CARE SCIENCES & SERVICES-PHARMACOLOGY & PHARMACY

CiteScore

4.00

自引率

4.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Expert Review of Pharmacoeconomics & Outcomes Research (ISSN 1473-7167) provides expert reviews on cost-benefit and pharmacoeconomic issues relating to the clinical use of drugs and therapeutic approaches. Coverage includes pharmacoeconomics and quality-of-life research, therapeutic outcomes, evidence-based medicine and cost-benefit research. All articles are subject to rigorous peer-review. The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections: Expert Opinion – a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results Article Highlights – an executive summary of the author’s most critical points.