Literature DB >> 22417759

Predicting discharge in forensic psychiatry: the legal and psychosocial factors associated with long and short stays in forensic psychiatric hospitals.

Thomas Ross1, Jan Querengässer, María Isabel Fontao, Klaus Hoffmann.   

Abstract

In Germany, both the number of patients treated in forensic psychiatric hospitals and the average inpatient treatment period have been increasing for over thirty years. Biographical and clinical factors, e.g., the number of prior offences, type of offence, and psychiatric diagnosis, count among the factors that influence the treatment duration and the likelihood of discharge. The aims of the current study were threefold: (1) to provide an estimate of the German forensic psychiatric patient population with a low likelihood of discharge, (2) to replicate a set of personal variables that predict a relatively high, as opposed to a low, likelihood of discharge from forensic psychiatric hospitals, and (3) to describe a group of other factors that are likely to add to the existing body of knowledge. Based on a sample of 899 patients, we applied a battery of primarily biographical and other personal variables to two subgroups of patients. The first subgroup of patients had been treated in a forensic psychiatric hospital according to section 63 of the German legal code for at least ten years (long-stay patients, n=137), whereas the second subgroup had been released after a maximum treatment period of four years (short-stay patients, n=67). The resulting logistic regression model had a high goodness of fit, with more than 85% of the patients correctly classified into the groups. In accordance with earlier studies, we found a series of personal variables, including age at first admission and type of offence, to be predictive of a short or long-stay. Other findings, such as the high number of immigrants among the short-stay patients and the significance of a patient's work time before admission to a forensic psychiatric hospital, are more clearly represented than has been observed in previous research.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22417759     DOI: 10.1016/j.ijlp.2012.02.011

Source DB:  PubMed          Journal:  Int J Law Psychiatry        ISSN: 0160-2527


  7 in total

1.  Development of the forensic inpatient quality of life questionnaire: short version (FQL-SV).

Authors:  S H H Schel; Y H A Bouman; E C W Vorstenbosch; B H Bulten
Journal:  Qual Life Res       Date:  2016-11-22       Impact factor: 4.147

2.  Factors Influencing Length of Stay of Forensic Patients: Impact of Clinical and Psychosocial Variables in Medium Secure Setting.

Authors:  Paweł Gosek; Justyna Kotowska; Elżbieta Rowińska-Garbień; Dariusz Bartczak; Janusz Heitzman
Journal:  Front Psychiatry       Date:  2020-08-14       Impact factor: 4.157

3.  Factors Affecting Length of Inpatient Forensic Stay: Retrospective Study From Czechia.

Authors:  Marek Páv; Martina Vňuková; Ivan Sebalo
Journal:  Front Psychiatry       Date:  2022-05-04       Impact factor: 4.157

4.  Factors affecting length of stay in forensic hospital setting: need for therapeutic security and course of admission.

Authors:  Mary Davoren; Orla Byrne; Paul O'Connell; Helen O'Neill; Ken O'Reilly; Harry G Kennedy
Journal:  BMC Psychiatry       Date:  2015-11-23       Impact factor: 3.630

5.  Routine Outcome Monitoring and Clinical Decision-Making in Forensic Psychiatry Based on the Instrument for Forensic Treatment Evaluation.

Authors:  Frida C A van der Veeken; Jacques Lucieer; Stefan Bogaerts
Journal:  PLoS One       Date:  2016-08-12       Impact factor: 3.240

6.  Factors and predictors of length of stay in offenders diagnosed with schizophrenia - a machine-learning-based approach.

Authors:  Johannes Kirchebner; Moritz Philipp Günther; Martina Sonnweber; Alice King; Steffen Lau
Journal:  BMC Psychiatry       Date:  2020-05-06       Impact factor: 3.630

7.  Forensic Outpatient Variables That May Help to Prevent Further Detention.

Authors:  Karoline Klinger; Thomas Ross; Jan Bulla
Journal:  Front Psychiatry       Date:  2020-02-13       Impact factor: 4.157

  7 in total

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