Clinical epidemiological research on suicide-related behaviors—where we are and where we need to go
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Digital phenotyping takes advantage of unprecedented types and amounts of data including movement, pulse rate, blood pressure, and sleep, meals and other lifestyle patterns, in addition to repeated self-report and neurocognitive tests.
“Digital phenotyping, the 'moment-by-moment quantification of the individuallevel human phenotype in situ using data from personal digital devices' 636 takes advantage of unprecedented types and amounts of data including movement, pulse rate, blood pressure, and sleep, meals and other lifestyle patterns, in addition to repeated self-report and neurocognitive tests. 637”
From Time for united action on depression: a Lancet–World Psychiatric Association Commission (2022) · cites this paper as [636]
What constitutes adequate accuracy for suicide risk prediction is unknown.
“what constitutes an adequate accuracy for suicide risk prediction is unknown.14”
From Accuracy requirements for cost-effective suicide risk prediction among primary care patients in the US (2021) · cites this paper as [14]
The health economic value of risk prediction depends not only on its accuracy but also on the consequences of the condition it predicts and the efficacy of interventions for that condition.
“the health economic value of risk prediction depends not only on its accuracy but also on the consequences of the condition it predicts and the efficacy of interventions for that condition”
From Accuracy requirements for cost-effective suicide risk prediction among primary care patients in the US (2021) · cites this paper as [14]
The low PPV thresholds reflect the immense societal and individual consequences of suicide.
“However, that these values are so low reflects the immense societal and individual consequences of suicide.14,25”
From Accuracy requirements for cost-effective suicide risk prediction among primary care patients in the US (2021) · cites this paper as [14]
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The Lancet Commission on self-harm
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Fundamentos de neurofisiología
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Reinforcement Learning in Ecommerce Management: A Comprehensive Review and Future DirectionsPreprint
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- Authors
- Kessler, R. C.
- Affiliations
- Harvard University (US)
- Corresponding author
- Kessler, Ronald C.
- ORCID
- Kessler, Ronald C.
- Venue
- JAMA Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2019-08-01
- Volume
- 76
- Issue
- 8
- Pages
- 777
- ISSN
- 2168-622X (ISSN-L)
- OpenAlex
- W2951805042
- Cited by
- 41
- References
- 9
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 4 · 2023: 5 · 2022: 6 · 2021: 7 · 2020: 6 · 2019: 7
- FWCI
- 7.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Sociology and Political Science › Homicide, Infanticide, and Child Abuse
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- suicide-related behaviors, suicide risk, clinical epidemiology, suicide prevention, suicidal ideation, suicide attempts
- MeSH terms
- Suicide Prevention, Humans, Veterans, Suicidal Ideation
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