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