Evidence map›Paper›PMID 40433180›Full record

ArticleFrontiers in psychiatry2025

Factors predicting the length of stay in inpatient forensic psychiatric care in Hungary.

Szabolcs Fekete, Hunor Girasek, Gabor S Ungvari, Gábor Gazdag

Abstract read
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Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Szabolcs FeketeNational Institute of Forensic Psychiatry, Budapest, Hungary.
Hunor GirasekDoctoral School of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Gabor S UngvariDivision of Psychiatry, School of Medicine, University of Western Australia, Crawley, WA, Australia.
Gábor GazdagDepartment of Psychiatry and Psychiatric Rehabilitation, Jahn Ferenc South Pest Hospital, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In recent years, the length of stay (LoS) in forensic psychiatric inpatient institutions has been increasing worldwide. Although an excessive LoS constitutes a human rights violation, the underlying reasons and associated factors have not been fully established, and differences between countries and regions have led to limited conclusive information. Methods: This retrospective study used data from a nationally representative sample of 301 adult patients who were admitted to the National Institute of Forensic Psychiatry, Hungary's only forensic inpatient psychiatric institution, following a court-issued compulsory treatment order for reason of insanity during 2000-2015 to investigate the demographic, clinical, and criminal offense-related factors associated with inpatient LoS. Results: Among the variables found to be significant in univariate analyses, a multiple regression model with bootstrapping confirmed significant associations of LoS with the type and method of the index criminal offense, community residential setting into which the patient was released, age and gender (all p < 0.05). However, the regression model accounted for only 34.1% of the observed variance in LoS, suggesting the presence of additional unexplored factors that may lead to excessive LoS. Conclusion: The Hungarian forensic psychiatric system should implement a more evidence-based method for determining the LoS for inpatient care.

Indexed as

community residential settingforensic inpatient careHungarylength of staytype of criminal offense

Identifiers

PMID40433180
PMCPMC12106463

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