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This is an observational study where digital, clinical and health utilization data are collected from individuals with schizophrenia spectrum disorders who have been recently discharged from a psychiatric hospitalization. The data will be used towards building a model/algorithm capable of monitoring mental health and predicting adverse clinical events, such as relapse and re-admissions.
In this research, participants will attend 6-weekly follow-up research visits (Weeks 0, 6, 12, 18, 24) over 24 weeks where clinical symptoms, cognition, functioning and well-being will be assessed. Passive digital data from smartphones and wrist wearable devices (e.g. sleep patterns, heart rate, location variance and entropy, phone usage frequency and duration, finger taps, ambient light, and physical activity) will be collected continuously during the 24 weeks. Audio recorded follow-up phone calls will be made to participants who consented to the optional audio recorded component at Weeks 3, 9, 15, 21. This study will also carry out an administrative follow-up at Week 24/termination and Week 52 to obtain healthcare utilization information (e.g. scheduled or unscheduled appointments, readmission, etc) since study enrollment.
Study findings will shed light on the relationship between digital biomarkers with clinical status and health utilization outcomes, as well as explore the feasibility and acceptability of digital sensors.
Schizophrenia Spectrum Disorders
Institute of Mental Health
Institute of Mental Health, Singapore
Published on BioPortfolio: 2020-01-22T12:12:51-0500
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