Literature DB >> 2365310

Can prediction of violence among psychiatric inpatients be improved?

S Blomhoff1, S Seim, S Friis.   

Abstract

In an effort to improve the prediction of violence among psychiatric inpatients, the authors retrospectively studied 25 patients who were violent and 34 who were not violent after admission to a psychiatric emergency ward in Norway. The only demographic variable that discriminated between the two groups was violence in the family of origin; the violent group had experienced significantly more. The best single predictor of violence was a history of previous violence by the patient, which correctly classified 80 percent of the patients. The combined information about patients' level of aggression rated at referral and level of anxiety rated at admission correctly classified 78 percent. In a subgrouping of violent patients who inflicted injuries and did not inflict injuries, a higher percentage of the injury-inflicting patients were found to have a diagnosis of schizophrenia. These patients also had a higher level of aggression at referral.

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Year:  1990        PMID: 2365310     DOI: 10.1176/ps.41.7.771

Source DB:  PubMed          Journal:  Hosp Community Psychiatry        ISSN: 0022-1597


  4 in total

1.  Impulsive versus premeditated aggression in the prediction of violent criminal recidivism.

Authors:  Marc T Swogger; Zach Walsh; Michael Christie; Brittany M Priddy; Kenneth R Conner
Journal:  Aggress Behav       Date:  2014-07-08       Impact factor: 2.917

2.  Comparison of the sociodemographic, clinical and offense-related data of delusional disorder patients with and without a criminal history.

Authors:  Tuğba Gümüş; Ender Cesur; Ali Keyvan; Ahmet Türkcan
Journal:  Psychiatr Psychol Law       Date:  2021-10-28

3.  Violence and mental illness.

Authors:  Marie E Rueve; Randon S Welton
Journal:  Psychiatry (Edgmont)       Date:  2008-05

Review 4.  Prevalence and Risk Factors of Violence by Psychiatric Acute Inpatients: A Systematic Review and Meta-Analysis.

Authors:  Laura Iozzino; Clarissa Ferrari; Matthew Large; Olav Nielssen; Giovanni de Girolamo
Journal:  PLoS One       Date:  2015-06-10       Impact factor: 3.240

  4 in total

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