Smartphone-based text obtained via passive sensing as it relates to direct suicide risk assessment
This study demonstrates the feasibility of leveraging smartphone text data for real-time suicide risk detection, offering a scalable, low-burden alternative to traditional methods. Findings suggest that dynamic, individualized monitoring via passive data collection could enhance suicide prevention efforts by enabling timely, tailored interventions. Future research should refine language models and explore diverse populations to extend the generalizability of this innovative approach.
Authors
- Kerri‐Anne Bell (ORCID: https://orcid.org/0009-0000-8992-8267)
- Evan M. Kleiman (ORCID: https://orcid.org/0000-0001-8002-1167)
- Connor O’Brien (ORCID: https://orcid.org/0009-0006-8677-4614)
- Brooke A. Ammerman (ORCID: https://orcid.org/0000-0002-0367-6589)
- Thomas Nichols Robinson (ORCID: https://orcid.org/0000-0002-2367-0774)
- Nilàm Ram (ORCID: https://orcid.org/0000-0003-1671-5257)
- Ross Jacobucci (ORCID: https://orcid.org/0000-0001-7818-7424)
- A Knörr (ORCID: https://orcid.org/0000-0003-4911-399X)
- Bryon Reeves
Institutions
- Rutgers, The State University of New Jersey (US)
- University of Notre Dame (US)
- University of Wisconsin–Madison (US)
- Stanford Health Care (US)
- Stanford University (US)
Publication Details
- Journal
- Psychological Medicine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1017/s0033291725001199
- Citations
- 4
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 9.23