Evidence map›Paper›PMID 38087234›Full record

ArticleBMC psychiatry2023

What happens after forensic psychiatric care? A latent class analysis of dimensions of welfare for former forensic psychiatric patients.

Ebba Noland, Fia Klötz Logan, Stefan Sjöström, Mattias Strandh

Abstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 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

4 authors.

Ebba NolandDepartment of Social Work, Umeå University, Umeå, 901 87, Sweden. ebba.noland@umu.se.
Fia Klötz LoganSundsvall Forensic Psychiatric Centre, Region Västernorrland, Box 880, Sundsvall, 851 24, Sweden.
Stefan SjöströmDepartment of Sociology, Center for social work, Uppsala University, Box 624, Uppsala, Sweden.
Mattias StrandhDepartment of Social Work, Umeå University, Umeå, 901 87, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMentally disordered offenders are a heterogenous group regarding psychopathology as well as background factors, which makes it likely that more than one stereotypical life situation will apply to all forensic psychiatric patients following discharge. Knowledge about typical life situations would be valuable for optimising support for improving the overall life situation of these individuals. This paper investigates life situations from the perspective of level of living research and resources in terms of different welfare dimensions.

methodsIncluded were all all individuals (n = 1146) who had been discharged from forensic psychiatric care in Sweden during 2009-2018 and were included in the Swedish National Forensic Psychiatric Register. Follow-up time varied from 4 to 3644 days, (m = 1697, Md = 1685). Register data from several different registers was combined. Data was analysed using latent class analysis, and multinominal logistic regression analysis investigated what background factors were associated with class membership.

resultsThe results show that there are four subgroups of post-discharge life situations: the high support group, the general psychiatric needs group, the working group, and the family group. The high support group was the largest, representing 54% of the entire sample. There are background factors associated with group membership, including both age at discharge, length of stay in forensic psychiatric care and pre-index crime historical factors.

conclusionsThis study contributes to the understanding of the post-discharge lives of former forensic psychiatric patients and shows that for several subgroups, negative outcomes are rare. Knowledge about these subgroups could be drawn upon to make informed decisions about in- and outpatient forensic psychiatric care, discharge from forensic psychiatric services, and what support is offered to former forensic psychiatric patients.

Indexed as

Mental DisordersAftercareForensic PsychiatryHumansLatent Class AnalysisOutpatientsPatient DischargeCriminal recidivismForensic psychiatryLatent class analysisLevel of livingLife situationMentally disordered offenderPost-dischargeWelfare dimensions

Identifiers

PMID38087234
PMCPMC10714544

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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.