The 12-item WHO Disability Assessment Schedule II as an outcome measure for treatment of common mental disorders.

CC Thomas; SD Rathod ORCID logo; MJ De Silva; HA Weiss ORCID logo; V Patel; (2016) The 12-item WHO Disability Assessment Schedule II as an outcome measure for treatment of common mental disorders. Global mental health (Cambridge, England), 3. e14-. ISSN 2054-4251 DOI: 10.1017/gmh.2016.7
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BACKGROUND: Common mental disorders (CMD) are among the most significant contributors to disability worldwide. Patient-reported disability outcomes should be included as a key metric in the comparative assessment of value across global mental health interventions. This study aims to evaluate the validity of a widely used, cross-cultural tool - the 12-item World Health Organization Disability Assessment Schedule II (WHODAS) - as a functional outcome measure for CMD treatment. METHODS: The study population includes 1024 participants with CMD enrolled in the MANAS trial in India. CMD was assessed using the Revised Clinical Interview Schedule (CIS-R). Disability was assessed using the 12-item WHODAS II plus a measure of disability days. This analysis presents the correlations between these disability items and CMD symptom severity at 2 months after enrollment (convergent validity) and the items' associations with CMD recovery 4 months later (external responsiveness). RESULTS: All items showed a positive correlation of disability with CMD symptom severity (p < 0.001). The WHODAS items of 'standing,' 'household responsibilities,' and 'emotional disturbance' explained the most variance in CMD symptom severity. Improvements in 'disability days,' 'emotional disturbance,' 'standing,' 'household responsibilities,' 'day-to-day work,' and 'concentrating' were significantly associated with CMD recovery over follow-up. CONCLUSIONS: Further research is recommended on a CMD-specific WHODAS subscale comprised of the six WHODAS items found to be most strongly associated with CMD severity and recovery. This shorter, CMD-specific disability subscale would critically serve as a common metric to compare intervention impact on patient-centered outcomes and, in turn, to allocate global mental health resources efficiently.


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