Evidence map›Paper›PMID 39720430›Full record

ArticleFrontiers in psychiatry2024

Violence risk prediction in mental health inpatient settings using the Dynamic Appraisal of Situational Aggression.

Mario Moscovici, Farhat Farrokhi, Lavanya Vangala, Alexander I F Simpson, Paul Kurdyak, Roland M Jones

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Mario MoscoviciForensic Psychiatry Division, The Centre for Addiction and Mental Health, Toronto, ON, Canada.
Farhat FarrokhiForensic Psychiatry Division, The Centre for Addiction and Mental Health, Toronto, ON, Canada.
Lavanya VangalaForensic Psychiatry Division, The Centre for Addiction and Mental Health, Toronto, ON, Canada.
Alexander I F SimpsonForensic Psychiatry Division, The Centre for Addiction and Mental Health, Toronto, ON, Canada.
Paul KurdyakDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Roland M JonesForensic Psychiatry Division, The Centre for Addiction and Mental Health, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction/Background: Aggression and violence are common problems in healthcare settings and affects both patients and healthcare staff. The Dynamic Appraisal of Situational Aggression (DASA) is an assessment tool to guide assessment for short term risk in inpatient settings. There have been no large-scale studies examining the performance of the DASA across different clinical settings. Our objective is to examine the performance of the DASA using a large longitudinal patient sample on different clinical units. A secondary objective was to examine alterative risk categories of the DASA. Methods: All consecutive mental health hospital admissions to a large hospital in Toronto, Canada between 2016 and 2019 were included. Time-to-event analysis and Receiver Operating Characteristics Area Under the Curve (AUC) was conducted with the outcome variable being the occurrence of the first violent incident or first restraint event. Results: We included 3819 patients, of which 17% had at least one violent incident. We analysed 88,124 DASA scores and found a significant association with violence (HR 1.79 (95% CI), AUC 0.73). We found that the AUCs were similar for subspecialized forensic, schizophrenia and acute care units (0.71, 0.73 and 0.75 respectively), and lower for geriatric units (0.66). We propose new violence risk categories based on the frequency of violence at each score. Discussion: Higher DASA scores are associated with higher risk of violent incidents in both forensic and non-forensic inpatient psychiatric units. The proposed violence risk groups help rule out patients at low risk of violence and may help identify patients who would most benefit from interventions to reduce violence.

Indexed as

acute psychiatric admissionaggressionforensic-psychiatric practiceinpatient violenceold age psychiatrypreventionrisk assessmentschizophrenia

Identifiers

PMID39720430
PMCPMC11666551

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.