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Pratap A, Homiar A, Waninger L, Herd C, Suver C, Volponi J, Anguera JA, Areán P. Real-world behavioral dataset from two fully remote smartphone-based randomized clinical trials for depression. Sci Data 2022; 9:522. [PMID: 36030226 PMCID: PMC9420101 DOI: 10.1038/s41597-022-01633-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 08/15/2022] [Indexed: 11/09/2022] Open
Abstract
Most people with mental health disorders cannot receive timely and evidence-based care despite billions of dollars spent by healthcare systems. Researchers have been exploring using digital health technologies to measure behavior in real-world settings with mixed results. There is a need to create accessible and computable digital mental health datasets to advance inclusive and transparently validated research for creating robust real-world digital biomarkers of mental health. Here we share and describe one of the largest and most diverse real-world behavior datasets from over two thousand individuals across the US. The data were generated as part of the two NIMH-funded randomized clinical trials conducted to assess the effectiveness of delivering mental health care continuously remotely. The longitudinal dataset consists of self-assessment of mood, depression, anxiety, and passively gathered phone-based behavioral data streams in real-world settings. This dataset will provide a timely and long-term data resource to evaluate analytical approaches for developing digital behavioral markers and understand the effectiveness of mental health care delivered continuously and remotely.
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Affiliation(s)
- Abhishek Pratap
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
- Vector Institute for Artificial Intelligence, Toronto, ON, Canada.
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
| | - Ava Homiar
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- School of Interdisciplinary Science, McMaster University, Hamilton, ON, Canada
| | - Luke Waninger
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
| | - Calvin Herd
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | | | - Joshua Volponi
- Department of Neurology, University of California San Francisco, San Francisco, WA, USA
| | - Joaquin A Anguera
- Department of Neurology, University of California San Francisco, San Francisco, WA, USA
| | - Pat Areán
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA
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