Accuracy and predictive value of incarcerated adults' accounts of their self-harm histories: findings froman Australian prospective data linkage study
Open accessAbstract
BACKGROUND: Self-harm is prevalent in prison populations and is a well-established risk factor for suicide. Researchers typically rely on self-report to measure self-harm, yet the accuracy and predictive value of self-report in prison populations is unclear. Using a large, representative sample of incarcerated men and women, we aimed to examine the level of agreement between self-reported self-harm history and historical medical records, and investigate the association between self-harm history and medically verified self-harm after release from prison. METHODS: During confidential interviews with 1315 adults conducted within 6 weeks of expected release from 1 of 7 prisons in Queensland, Australia, participants were asked about the occurrence of lifetime self-harm. Responses were compared with prison medical records and linked both retrospectively and prospectively with ambulance, emergency department and hospital records to identify instances of medically verified self-harm. Follow-up interviews roughly 1, 3 and 6 months after release covered the same domains assessed in the baseline interview as well as self-reported criminal activity and contact with health care, social and criminal justice services since release. RESULTS: Agreement between self-reported and medically verified history of self-harm was poor, with 64 (37.6%) of 170 participants with a history of medically verified self-harm disclosing a history of self-harm at baseline. Participants with a medically verified history of self-harm were more likely than other participants to self-harm during the follow-up period. Compared to the unconfirmed-negative group, the true-positive (adjusted hazard ratio [HR] 6.2 [95% confidence interval (CI) 3.3-10.4]), false-negative (adjusted HR 4.0 [95% CI 2.2-6.7]) and unconfirmed-positive (adjusted HR 2.2 [95% CI 1.2-3.9]) groups were at increased risk for self-harm after release from prison. INTERPRETATION: Self-reported history of self-harm should not be considered a sensitive indicator of prior self-harm or of future self-harm risk in incarcerated adults. To identify those who should be targeted for preventive strategies, triangulation of data from multiple verifiable sources should be performed whenever possible.
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Most of the included cross-sectional studies relied on retrospective self-report of self-harm, which might underestimate the prevalence of self-harm in custody.
“most of the included cross-sectional studies relied on retrospective self-report of self-harm, which might underestimate the prevalence of self-harm in custody.79”
From Risk factors for self-harm in prison: a systematic review and meta-analysis (2020) · cites this paper as [79]
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- Authors
- Borschmann, R., Young, J. T., Moran, P., Spittal, M. J., Snow, K., Mok, K., & Kinner, S. A.
- Affiliations
- Griffith University (AU)
- ORCID
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- CMAJ Open
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- CMA Impact Inc.
- Published
- 2017-09-11
- Volume
- 5
- Issue
- 3
- Pages
- E694-E701
- ISSN
- 2291-0026 (ISSN-L)
- PMC
- PMC5621944
- OpenAlex
- W2755091928
- Cited by
- 34
- References
- 59
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- Language
- en
- Open access
- diamond
- doi.org
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- UWA Profiles and Research Repository (UWA) (submittedVersion, cc-by-nc)
- Minerva Access (University of Melbourne) (submittedVersion)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Griffith Research Online (submittedVersion)
- Funders
- National Health and Medical Research Council (1104644, 1002463)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Sociology and Political Science › Criminal Justice and Corrections Analysis
- Social Sciences › Sociology and Political Science › Homicide, Infanticide, and Child Abuse
- Keywords
- self-harm, incarcerated adults, prison population, self-report accuracy, data linkage, suicide risk, data triangulation, criminal justice
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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