Real-time monitoring of suicide risk among adolescents: potential barriers, possible solutions, and future directions
Open accessAbstract
Recent advances in real-time monitoring technology make this an exciting time to study risk for suicidal thoughts and behaviors among youth. Although there is good reason to be excited about these methods, there is also reason for caution in adopting them without first understanding their limitations. In this article, we present several broad future directions for using real-time monitoring among youth at risk for suicide focused around three broad themes: novel research questions, novel analytic methods, and novel methodological approaches. We also highlight potential technical, logistical, and ethical challenges with these methodologies, as well as possible solutions to these challenges.
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Kleiman and colleagues raised concerns about data overfitting in EMA studies.
“Finally, Kleiman and colleagues raised concerns about data overfitting in EMA studies (48); in this context, previously-used machine learning models in suicide research may not be appropriate for real-time monitoring data (38, 49).”
From New methods for assessing rapid changes in suicide risk (2021) · cites this paper as [48]
These EMA and passive sensing methods have not been replicated for predicting suicide risk.
“These approaches have promise, but they lack replicated data on prediction of suicidal behavior risk (263).”
From A brain-centric model of suicidal behavior (2020) · cites this paper as [263]
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Vine, V., Victor, S. E., Mohr, H., Byrd, A. L., & Stepp, S. D. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112870 · Cited by 36 · see citing works
- Authors
- Kleiman, E. M., Glenn, C. R., & Liu, R. T.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- University of Rochester (US)
- Brown University (US)
- Corresponding author
- Kleiman, Evan M.
- Venue
- Journal of Clinical Child & Adolescent Psychology
- Publisher
- Informa UK Limited
- Published
- 2019-09-27
- Volume
- 48
- Issue
- 6
- Pages
- 934-946
- ISSN
- 1537-4416 (ISSN-L)
- 1537-4424
- PMC
- PMC6864279
- OpenAlex
- W2975062525
- Cited by
- 68
- References
- 98
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 9 · 2023: 11 · 2022: 10 · 2021: 16 · 2020: 5 · 2019: 3
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Clinical Child & Adolescent Psychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (RF1MH120830, R01MH115905, R01MH101138, R21MH115293)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Keywords
- suicide risk, adolescents, real-time monitoring, suicidal ideation, suicide prevention, wearable devices, implementation barriers, ethical considerations, methodological issues, analytical methods
- MeSH terms
- Adolescent, Female, Humans, Male, Risk Factors, Suicide
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