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Bu sayfa, 26. Dünya Psikiyatri Kongresi'nde sunulan çalışmanın yapay zekâ desteğiyle hazırlanmış Türkçe özetidir. Çalışmanın sahibi sunan yazarlardır; atıf için orijinal kaynağa başvurun.

EV0986

Preliminary results from COLIVE-MH: a living evidence platform to guide the selection of mental health outcome measures

PRELIMINARY RESULTS FROM COLIVE-MH: A LIVING EVIDENCE PLATFORM TO INFORM THE SELECTION OF MENTAL HEALTH OUTCOME MEASURES

The evidence base for WHODAS-12 spans a broad range of populations, languages, and settings, but coverage remains uneven across measurement properties and clinical subgroups.

The poster was registered in the congress system as preliminary results from COLIVE-MH and presented under the title "Mapping the evidence on WHODAS-12." It aims to map studies evaluating the measurement properties of WHODAS-12, a patient-reported outcome measure (PROM) that assesses functional disability. The method is a living systematic review; PubMed, Embase, PsycINFO, CINAHL, and Web of Science were searched on 20 January 2026, dual screening was conducted at the title/abstract and full-text levels, the registration number was reported as CRD420261350387, and regular updates are planned. The evidence map covers 117 samples reported in 82 articles; administration was interviewer-led in 56% of samples, self-report in 33%, and unclear in 11%, and 55% of participants were women. The distribution by population type was physical illness 50.4%, mental health 33.9%, general population 27.8%, healthy volunteers 6.1%, and substance use 2.6%; the most frequently reported languages of administration were English (17), Spanish (10), Japanese (5), and Greek (4). The most frequently assessed measurement properties were internal consistency (61.5%) and structural validity (61.5%), followed by interpretability (47.0%), correlation-based hypothesis testing (46.2%), and subgroup-based hypothesis testing (35.9%). The least studied properties were reliability (14.5%), measurement error (8.5%), content validity (7.7%), criterion validity (6.0%), and screening accuracy (2.6%). Populations with mental health difficulties accounted for 39 samples from 25 articles, with depression (17), anxiety (12), and psychotic disorders (10) being the most frequently represented diagnoses. The authors concluded that mapping these gaps supports context-sensitive measure selection and identifies priorities for future validation studies.

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