ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2022
[Suicides in the German prison system: frequency, risk factors, and prevention].
Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- [Health of adolescents in juvenile detention-research evidence and insights into healthcare practice].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Article
- [Suicide prevention in Hamburg's penal system-analysis of cases from 2013-2022 and evaluation of interviews with inmates and staff].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Article
- The Medical Determination of Fitness for Detention in Police Custody.Deutsches Arzteblatt international · 2025Review
- Prison and forensic mental health staff after suicides in their care. A narrative review of international and German national evidence.Frontiers in psychiatry · 2024Review
- Comparison of two suicide screening instruments for identifying high-risk individuals in prison.Frontiers in psychiatry · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prisoners have a high risk of dying by suicide and the highest suicide rates are recorded among prisoners on remand. A death by suicide is the most common single cause of death in German correctional institutions. This narrative overview first describes the prison population and its general healthcare needs by paying particular attention to psychiatric and substance use disorders. The main section attends to the prevalence, causes, and risk factors of prison suicide. Suicide prevention measures are presented.As in all parts of the world, the proportion of young men among prisoners in Germany is very high (94% in 2020). Most prisoners are young or middle-aged. The average annual suicide rates among men (105.8/100,000) and women (54.7/100,000) in German prisons are similar to those of most countries in the European Union (full census 2000-2011). Suicide rates among male German prisoners declined continuously from 2000-2013, regardless of age. In contrast, they increased among female prisoners; the reasons for this are not known. Evidence suggests that psychiatric disorders have not been identified.Important suicide prevention measures include shared accommodation and avoidance of solitary confinement, for example by offering work. In addition, validated German-language screening instruments are available to detect suicide risk at an early stage. For effective prison suicide prevention, identifying high-risk individuals, offering appropriate suicide prevention interventions, and developing team-based interventions among prison staff are required.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.