Dataset Information

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

ABSTRACT:

Background

Violence in acute psychiatric wards affects the safety of other patients and the effectiveness of treatment. However, there is a wide variation in reported rates of violence in acute psychiatric wards.

Objectives

To use meta-analysis to estimate the pooled rate of violence in published studies, and examine the characteristics of the participants, and aspects of the studies themselves that might explain the variation in the reported rates of violence (moderators).

Method

Systematic meta-analysis of studies published between January 1995 and December 2014, which reported rates of violence in acute psychiatric wards of general or psychiatric hospitals in high-income countries.

Results

Of the 23,972 inpatients described in 35 studies, the pooled proportion of patients who committed at least one act of violence was 17% (95% confidence interval (CI) 14-20%). Studies with higher proportions of male patients, involuntary patients, patients with schizophrenia and patients with alcohol use disorder reported higher rates of inpatient violence.

Conclusion

The findings of this study suggest that almost 1 in 5 patients admitted to acute psychiatric units may commit an act of violence. Factors associated with levels of violence in psychiatric units are similar to factors that are associated with violence among individual patients (male gender, diagnosis of schizophrenia, substance use and lifetime history of violence).

SUBMITTER: Iozzino L

PROVIDER: S-EPMC4464653 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Iozzino Laura L Ferrari Clarissa C Large Matthew M Nielssen Olav O de Girolamo Giovanni G

PloS one 20150610 6

<h4>Background</h4>Violence in acute psychiatric wards affects the safety of other patients and the effectiveness of treatment. However, there is a wide variation in reported rates of violence in acute psychiatric wards.<h4>Objectives</h4>To use meta-analysis to estimate the pooled rate of violence in published studies, and examine the characteristics of the participants, and aspects of the studies themselves that might explain the variation in the reported rates of violence (moderators).<h4>Met ...[more]

PMID: 26061796

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Project description:BackgroundAlthough structured tools have been widely used to predict violence risk in specialist mental health settings, there is uncertainty about the extent and quality of evidence of their predictive performance. We aimed to systematically review the predictive performance of tools used to assess violence risk in forensic mental health, where they are routinely administered.MethodsIn our systematic review and meta-analysis, we followed PRISMA guidelines and searched four databases (PsycINFO, Embase, Medline, and Global Health) from database inception to Nov 1, 2022, to identify studies examining the predictive performance of risk assessment tools in people discharged from forensic (secure) mental health hospitals. Systematic and narrative reviews were excluded from the review. Performance measures and descriptive statistics were extracted from published reports. A quality assessment was performed for each study using the Prediction Model Risk of Bias Assessment Tool. Meta-analysis was conducted on the performance of instruments that were independently externally validated with a sample size greater than 100. The study was registered with PROSPERO, CRD42022304716.FindingsWe conducted a systematic review of 50 eligible publications, assessing the predictive performance of 36 tools, providing data for 10 460 participants (88% men, 12% women; median age [from 47 studies] was 35 years, IQR 33-38) from 12 different countries. Post-discharge interpersonal violence and crime was most often measured by new criminal offences or recidivism (47 [94%] of 50 studies); only three studies used informant or self-report data on physical aggression or violent behaviour. Overall, the predictive performance of risk assessment tools was mixed. Most studies reported one discrimination metric, the area under the receiver operating characteristic curve (AUC); other key performance measures such as calibration, sensitivity, and specificity were not presented. Most studies had a high risk of bias (49 [98%] of 50), partly due to poor analytical approaches. A meta-analysis was conducted for violent recidivism on 29 independent external validations from 19 studies with at least 100 patients. Pooled AUCs for predicting violent outcomes ranged from 0·72 (0·65-0·79; I2=0%) for H10, to 0·69 for the Historical Clinical Risk Management-20 version 2 (95% CI 0·65-0·72; I2=0%) and Violence Risk Appraisal Guide (0·63-0·75; I2=0%), to 0·64 for the Static-99 (0·53-0·73; I2=45%).InterpretationCurrent violence risk assessment tools in forensic mental health have mixed evidence of predictive performance. Forensic mental health services should review their use of current risk assessment tools and consider implementing those with higher-quality evidence in support.FundingWellcome Trust.

Project description:BACKGROUND AND AIMS:Violent behaviour by forensic psychiatric inpatients is common. We aimed to systematically review the performance of structured risk assessment tools for violence in these settings. METHODS:The nine most commonly used violence risk assessment instruments used in psychiatric hospitals were examined. A systematic search of five databases (CINAHL, Embase, Global Health, PsycINFO and PubMed) was conducted to identify studies examining the predictive accuracy of these tools in forensic psychiatric inpatient settings. Risk assessment instruments were separated into those designed for imminent (within 24 hours) violence prediction and those designed for longer-term prediction. A range of accuracy measures and descriptive variables were extracted. A quality assessment was performed for each eligible study using the QUADAS-2. Summary performance measures (sensitivity, specificity, positive and negative predictive values, diagnostic odds ratio, and area under the curve value) and HSROC curves were produced. In addition, meta-regression analyses investigated study and sample effects on tool performance. RESULTS:Fifty-two eligible publications were identified, of which 43 provided information on tool accuracy in the form of AUC statistics. These provided data on 78 individual samples, with information on 6,840 patients. Of these, 35 samples (3,306 patients from 19 publications) provided data on all performance measures. The median AUC value for the wider group of 78 samples was higher for imminent tools (AUC 0.83; IQR: 0.71-0.85) compared with longer-term tools (AUC 0.68; IQR: 0.62-0.75). Other performance measures indicated variable accuracy for imminent and longer-term tools. Meta-regression indicated that no study or sample-related characteristics were associated with between-study differences in AUCs. INTERPRETATION:The performance of current tools in predicting risk of violence beyond the first few days is variable, and the selection of which tool to use in clinical practice should consider accuracy estimates. For more imminent violence, however, there is evidence in support of brief scalable assessment tools.

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Project description:BackgroundWorkplace sexual violence is a significant public health problem in low and middle-income countries, including Ethiopia. However, except for individual studies with varying prevalence rates in different occupations, there are no national prevalence studies conducted in workplace settings in Ethiopia. Appropriate estimation of the problem is essential to formulate health service plans most fitted for workplaces. Hence, this review and meta-analysis intended to estimate the national pooled prevalence of workplace sexual violence in Ethiopia.MethodsThe databases used were; PubMed, Google Scholar, CINAHL, and African Journals Online. For a critical appraisal of the papers, we used the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument for cross-sectional studies. The meta-analysis was conducted using comprehensive meta-analysis and MetaXL software. Descriptive information of studies was presented in narrative form, and quantitative results were presented in forest plots. The Cochran Q test and I2 test statistics were employed to test heterogeneity across studies. A random-effect model computed the pooled estimate prevalence with 95% confidence intervals.ResultsThe pooled prevalence of workplace sexual violence was 22% (95% CI 17%, 28%). The pooled prevalence was 14.1% (95% CI 10.4%, 18.9%) for attempted rape, 8% (95% CI 5.7%, 11.1%) for rape, and 33.2% (95% CI 24.1%, 43.7%) for sexual harassment. The pooled prevalence was the highest among female university staffs 49% (95% CI 45%, 56%), and among commercial sex workers 28% (95% CI 3%, 59%).ConclusionsThis analysis revealed that the prevalence of sexual violence and sexual harassment in Ethiopian workplaces is high. It was also exceptionally high among female faculty staff, commercial sex workers, and workplaces in Tigray National regional state. Thus, concerned stakeholders must design and implement effective interventions to prevent workplace sexual violence in workplaces in Ethiopia and provide necessary support and care to the victims.

Dataset Information

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

Background

Objectives

Method

Results

Conclusion

Publications

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

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