Evidence map›Paper›PMID 41004534›Full record

ArticlePLoS medicine2025

Incidence and prognostic factors of self-harm and subsequent unnatural death in South Africa: A cohort study.

Veronika Whitesell Skrivankova, Stephan Rabie, Mpho Tlali, Naomi Folb, Chido Chinogurei, Sarah Bennett, Aimee Wesso, Yann Ruffieux, Morna Cornell, Soraya Seedat and 5 more

Abstract read
In one paragraph

Article in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Veronika Whitesell SkrivankovaInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0003-0932-4792
Stephan RabieHIV Mental Health Research Unit, Division of Neuropsychiatry, Department of Psychiatry and Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-5464-0746
Mpho TlaliCentre for Integrated Data and Epidemiological Research (CIDER), School of Public Health, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-0283-2022
Naomi FolbMedscheme, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-2667-0956
Chido ChinogureiCentre for Integrated Data and Epidemiological Research (CIDER), School of Public Health, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-1560-7580
Sarah BennettMedscheme, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-6644-4929
Aimee WessoMedscheme, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-4851-0806
Yann RuffieuxInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-0891-2448
Morna CornellCentre for Integrated Data and Epidemiological Research (CIDER), School of Public Health, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-7149-8799
Soraya SeedatDepartment of Psychiatry & South African Research Council Genomics of Brain Disorders Research Unit, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-5118-786X
Matthias EggerCentre for Integrated Data and Epidemiological Research (CIDER), School of Public Health, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-7462-5132
Mary-Ann DaviesCentre for Integrated Data and Epidemiological Research (CIDER), School of Public Health, University of Cape Town, Cape Town, South Africa.
Gary MaartensDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-3080-6606
John JoskaHIV Mental Health Research Unit, Division of Neuropsychiatry, Department of Psychiatry and Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-4260-1181
Andreas D HaasInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-4849-181X

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
NIAID NIH HHS U01 AI069924
6 · The paper itself

Abstract

backgroundSelf-harm is a major public health concern globally and in South Africa. Individuals with a history of self-harm are at increased risk of unnatural death, including suicide and fatal accidents. This study investigates the incidence and predictors of self-harm and its role as a predictor for subsequent unnatural death. METHODS AND

findingsWe conducted a cohort study using insurance claims and vital registration data from beneficiaries of South African medical insurance schemes (2011-2022), aged 10 years or older. We estimated the cause-specific cumulative incidences of healthcare encounters for intentional self-harm (International Classification of Diseases 10th Revision [ICD-10] codes X60-X84) and unnatural deaths (ICD-10 codes V01-Y98), using the Aalen-Johansen method. We assessed predictors of both outcomes using Cox regression. We followed 1,356,119 beneficiaries (median age 33 years, 52.2% female) for a median of 3 years, during which 7,510 (0.6%) had a healthcare encounter for self-harm. The 5-year cumulative incidence of self-harm ranged from 0.2% in males aged 10-14 to 2.1% in females aged 15-24. Sex, age, and mental disorders were strong predictors for self-harm, while HIV was a modest predictor. Among individuals who survived a self-harm event, the five-year cumulative incidence of subsequent unnatural death was 3.43% (95% CI [2.38, 4.76]) for males and 0.77% (95% CI [0.48, 1.19]) for females. Non-fatal self-harm was a strong predictor of subsequent unnatural death in both males (hazard ratio [HR] 7.03, 95% CI [5.27, 9.39]) and females (HR 4.63, 95% CI [3.00, 7.15]). The study's main limitations include potential under-ascertainment of self-harm incidence due to reliance on routine data, and the unavailability of the exact cause of death, preventing analysis of suicide.

conclusionSelf-harm is common among beneficiaries of South African private medical insurance, with the highest risk in young females and individuals with mental disorders. These groups may benefit from targeted screening and early intervention. Non-fatal self-harm was a strong predictor of subsequent unnatural death, underscoring the need for suicide-specific brief interventions for individuals presenting with self-harm.

Indexed as

Self-Injurious BehaviorAdolescentAdultCause of DeathChildCohort StudiesFemaleHumansIncidenceMaleMiddle AgedPrognosisRisk FactorsSouth AfricaSuicideYoung Adult

Identifiers

PMID41004534
PMCPMC12503312

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.