What question did this study set out to answer?

The aim is to assess how digital biomarker data can predict health outcomes in individuals with schizophrenia.

October 1, 2021BMJ OpenOpen Access

Evaluating the utility of digital phenotyping to predict health outcomes in schizophrenia: protocol for the HOPE-S observational study

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Observational study evaluates digital tools to predict health outcomes in individuals with schizophrenia, suggesting novel monitoring strategies.

The aim is to assess how digital biomarker data can predict health outcomes in individuals with schizophrenia.
Recruitment of 100 individuals recently discharged from the Institute of Mental Health in Singapore.
Collection of digital, clinical, cognitive, and functioning data over a 6-month follow-up period.
Development of prediction algorithms using machine learning to identify significant clinical outcomes.
Data will be analyzed to find associations between digital markers and clinical outcomes.
Prediction algorithms will be created to forecast significant health events.
Findings will guide future interventions using digital phenotyping.

Rashid et al. (2021) studied this question.

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Observational study evaluates digital tools to predict health outcomes in individuals with schizophrenia, suggesting novel monitoring strategies.