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This page is an AI-assisted Turkish summary of the study presented at the 26th World Congress of Psychiatry. The study belongs to the presenting authors; please refer to the original source when citing it.

EV0745

Which digital health literacy scale is most suitable for university students? A COSMIN-based systematic review

WHICH DIGITAL HEALTH LITERACY INSTRUMENT IS MOST SUITABLE FOR COLLEGE STUDENTS? A COSMIN-BASED SYSTEMATIC REVIEW

eHLS-Web 3.0 emerged as the digital health literacy scale with the strongest evidence among university students, but no definitive COSMIN recommendation could be made for any scale.

The aim of this study was to systematically review digital health literacy (DHL) scales for university students and evaluate their measurement properties according to the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidelines. In this COSMIN-based systematic review, reported in accordance with PRISMA 2020, seven databases were searched from inception to May 31, 2026, for publications in English and Chinese; studies developing or evaluating a DHL scale among university students aged 18–25 years were included. Measurement properties were assessed using the COSMIN Risk of Bias checklist and criteria for good measurement properties, and the certainty of evidence was rated using a modified GRADE approach; the study is registered with PROSPERO (CRD420261385046). Sixteen studies from 11 countries evaluating six DHL scales were included. eHLS-Web 3.0 demonstrated the strongest overall evidence and was the only scale with sufficient content validity; it also exhibited relatively stable structural validity and measurement invariance. Under COSMIN version 2.0, no definitive recommendation could be made for any scale; evidence on measurement error and responsiveness was entirely absent, indicating substantial gaps in current DHL measurement. The authors recommend that future research prioritize population-specific content validity studies and longitudinal evaluation, noting that the findings support evidence-based scale selection in research and educational settings.

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