The validity and utility of risk assessment for inpatient suicide
Abstract
OBJECTIVE: It is widely assumed that identifying clinical risk factors can allow us to determine which patients are at high risk of suicide while in hospital, and that identifying those patients can help prevent inpatient suicide. We aimed to examine the validity and utility of categorizing psychiatric patients to be at either high or low risk of committing suicide while in hospital. METHOD: The assumption that high-risk categorizations are valid was examined by comparing factors included in high-risk models derived from individual studies of inpatient suicide with the results of a meta-analysis of factors associated with inpatient suicide. A valid high-risk model was then applied to a hypothetical clinical setting in order to test the assumption that high-risk categorizations are useful. RESULTS: The existing models for assessing whether inpatients are at high risk of suicide all include one or more factors that were not found to be associated with inpatient suicide by meta-analysis and were probably chance associations. Depressed mood and a prior history of self-harm are the only well-established independent risk factors for inpatient suicide. Using these risk factors to classify patients as being at high or low risk would prevent few, if any, suicides, and would come at a considerable cost in terms of more restrictive care of many patients and the reduced level of care available to the remaining patients. CONCLUSIONS: Risk categorization of individual patients has no role to play in preventing the suicide of psychiatric inpatients.
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Known risk factors for suicide, including psychiatric and demographic variables such as depression, gender and stress, are poor predictors of short-term suicidal behavior or are non-modifiable.
“However, these factors have quite limited clinical use: they are poor predictors of short-term behavior, or are non-modifiable (e.g., gender, past STBs).”
From Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research (2022) · cites this paper as [32]
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- Authors
- Large, M., Ryan, C., & Nielssen, O.
- Affiliations
- UNSW Sydney (AU)
- The University of Sydney (AU)
- Corresponding author
- Large, Matthew
- Venue
- Australasian Psychiatry
- Publisher
- SAGE Publications
- Published
- 2011-12
- Volume
- 19
- Issue
- 6
- Pages
- 507-512
- ISSN
- 1039-8562 (ISSN-L)
- 1440-1665
- OpenAlex
- W2075482324
- Cited by
- 73
- References
- 29
- Citations by year
- 2026: 1 · 2024: 3 · 2022: 6 · 2021: 4 · 2020: 7 · 2019: 3 · 2018: 1 · 2017: 9 · 2016: 5 · 2015: 12 · 2014: 6 · 2013: 8 · 2012: 8
- FWCI
- 7.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Australasian Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Psychology › Clinical Psychology › Psychiatric care and mental health services
- Social Sciences › Sociology and Political Science › Homicide, Infanticide, and Child Abuse
- Keywords
- inpatient suicide, suicide risk assessment, psychiatric inpatients, depressive mood, self-harm history, suicide prevention, risk classification
- MeSH terms
- Suicide Prevention, Humans, Inpatients, Models, Psychological, Primary Prevention, Risk Factors, Suicide, Risk Assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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