PurposeThe goal of this study is to utilize LAMP to identify digital biomarkers of mental illness that will help us learn about what factors influence both recovery as well as relapse in patients with serious mental illness |
MethodSubjects use a smartphone app for up 1 year that prompt symptom surveys and cognitive tests, while collecting background information including mobility, sociability, and exercise information. |
CollectionMultiple types of information, including symptom surveys, cognitive assessments, GPS data, call & text logs, and physiological data are all collected from the LAMP app.
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InterpretationThe collected information allows us to establish a baseline of typical behavior for each data stream for every participant. We then aim to understand if any deviations from this baseline corresponds with a mental health event.
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ImplementationUnderstanding how smartphone data correlates to a mental health event could help us better understand not only the mechanisms of these illnesses but also new opportunities to intervene in the future.
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Relevant Reading
- Cohen A, Naslund JA, Chang S, Nagendra S, Bhan A, Rozatkar A, Thirthalli J, Bondre A, Tugnawat D, Reddy PV, Dutt S. Relapse prediction in schizophrenia with smartphone digital phenotyping during COVID-19: a prospective, three-site, two-country, longitudinal study. Schizophrenia. 2023 Jan 27;9(1):6.
- Torous J, Firth J, Mueller N, Onnela JP,Baker JT. Methodology and Reporting of Mobile Heath and Smartphone Application Studies for Schizophrenia. Harvard review of psychiatry. 2017 May1;25(3):146-54.
- Firth J, Torous J, Nicholas J, Carney R,Pratap A, Rosenbaum S, Sarris J. The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials. World Psychiatry. 2017 Oct;16(3):287-98.
