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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.

Monitoring subthreshold symptom changes through digital phenotyping in people with serious mental disorders in an urban slum

Digital phenotyping for monitoring subclinical symptom changes in serious mental disorders in an urban slum

Monitoring people with serious mental disorders using passive smartphone data appears feasible in a low-resource urban settlement; final analysis results will be presented at the conference.

The aim is to investigate whether digital phenotyping based on passive smartphone data can capture subthreshold fluctuations in stress, mood, and functioning in people with serious mental disorders (SMD) under real-world conditions. A six-week longitudinal cohort study was conducted with adults diagnosed with a schizophrenia spectrum disorder, bipolar disorder, or major depressive disorder in Korail, an informal urban settlement in Dhaka. Participants underwent repeated clinical assessments at four time points, two weeks apart, while passive smartphone data were collected continuously through the DataDoc application. Associations between phone use patterns and clinical outcomes are being evaluated using multiple linear regression and a multilevel mixed-effects model. Final analysis results will be presented at the conference, and preliminary observations indicate that phone-based monitoring is feasible in this setting despite practical challenges. The study is expected to provide evidence to inform the development of scalable early warning systems and public health strategies in low-resource settings where continuous clinical monitoring is limited.

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