Literature DB >> 12072145

Prediction of inpatient violence.

T Steinert1.   

Abstract

OBJECTIVE: An overview of studies on predictors and on the accuracy of prediction of inpatient violence should be given.
METHOD: To date, the published data do not allow a systematic meta-analysis due to different sample characteristics, different measures and definitions of violence, and different time frames of observation. Published studies were reviewed regarding significant predictors of inpatient violence.
RESULTS: Predictors of violence in institutional settings are different from predictors of violence in the community: variables such as sex, age, diagnosis and alcohol abuse play a minor role, while clinical and psychopathological variables are prominent. Only history of violence is a robust static predictor. The total level of positive and general psychotic symptoms seems to enhance the violence risk of inpatients, whereas results concerning specific features like delusions or command hallucinations are contradictory due to inevitable problems of sample selection. The accuracy of clinical predictions is better than chance but limited by the effects of therapeutic interventions and research artefacts.
CONCLUSION: The author argues that more precise determinations of the violence risk in institutions will fail and that the role of environmental factors has often been underestimated.

Entities:  

Mesh:

Year:  2002        PMID: 12072145     DOI: 10.1034/j.1600-0447.106.s412.29.x

Source DB:  PubMed          Journal:  Acta Psychiatr Scand Suppl        ISSN: 0065-1591


  20 in total

1.  Shift climate profiles and correlates in acute psychiatric inpatient units.

Authors:  Terry J Lewin; Vaughan J Carr; Agatha M Conrad; Ketrina A Sly; Srinivasan Tirupati; Martin Cohen; Philip B Ward; Tim Coombs
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2011-11-09       Impact factor: 4.328

2.  Violent and disruptive behavior among drug-involved prisoners: relationship with psychiatric symptoms.

Authors:  Peter D Friedmann; Gerald Melnick; Lan Jiang; Zachary Hamilton
Journal:  Behav Sci Law       Date:  2008

Review 3.  Violent behaviour among people with schizophrenia: a framework for investigations of causes, and effective treatment, and prevention.

Authors:  Sheilagh Hodgins
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-08-12       Impact factor: 6.237

4.  Incidence and risk factors of workplace violence on psychiatric staff.

Authors:  Marilyn Ridenour; Marilyn Lanza; Scott Hendricks; Dan Hartley; Jill Rierdan; Robert Zeiss; Harlan Amandus
Journal:  Work       Date:  2015

Review 5.  New Clinically Relevant Findings about Violence by People with Schizophrenia.

Authors:  Sheilagh Hodgins; Sanja Klein
Journal:  Can J Psychiatry       Date:  2016-07-11       Impact factor: 4.356

Review 6.  Aggressive Behavior Among Persons With Schizophrenia and Those Who Are Developing Schizophrenia: Attempting to Understand the Limited Evidence on Causality.

Authors:  Sheilagh Hodgins
Journal:  Schizophr Bull       Date:  2017-09-01       Impact factor: 9.306

7.  Workplace violence prevention for nurses on-line course: Program development.

Authors:  Daniel Hartley; Marilyn Ridenour; John Craine; Allison Morrill
Journal:  Work       Date:  2015

8.  [Psychiatry with open doors. Part 1: Rational for an open door for acute psychiatry].

Authors:  D Sollberger; U E Lang
Journal:  Nervenarzt       Date:  2014-03       Impact factor: 1.214

9.  Frequency, characteristics and management of adolescent inpatient aggression.

Authors:  Immaculada Baeza; Christoph U Correll; Ema Saito; Dinara Amanbekova; Meena Ramani; Sandeep Kapoor; Raja Chekuri; Marc De Hert; Maren Carbon
Journal:  J Child Adolesc Psychopharmacol       Date:  2013-05-06       Impact factor: 2.576

10.  Aggression and trauma experiences among carer-relatives of people with psychosis.

Authors:  Carmel M Loughland; Gali Lawrence; Joanne Allen; Mick Hunter; Terry J Lewin; Nico E Oud; Vaughan J Carr
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2009-03-31       Impact factor: 4.328

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