Evaluation of a risk assessment tool to predict violent behaviour by patients detained in a psychiatric intensive care unit

Brown, Sarah; Langrish, Martin

doi:10.1017/s1742646411000264

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…Gender differences in types of violence (Robbins et al, 2003) and in personality traits related to psychopathy (Murphy et al, 2016) have been reported. Gender differences in violence risk assessments have also been reported (Nicholls et al, 2004), although findings on this issue, especially from acute settings, seem to be inconclusive (Brown and Langrish, 2012;Daffern, 2007). In our literature search, the majority of previous studies on violence risk assessments were conducted on male patients in forensic and long-term settings.…”

Section: Introductionmentioning

confidence: 95%

Predictive validity and gender differences in a biopsychosocial model of violence risk assessment in acute psychiatry

Eriksen

Færden

Lockertsen

et al. 2018

Psychiatry Research

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Current violence risk assessment methods seem to have reached an upper limit of accuracy. More comprehensive biopsychosocial models may improve on existing methods. Research on gender differences concerning risk factors of violence is scarce and inconclusive. In this prospective study from an acute psychiatric ward, all patients admitted from March 2012 to March 2013 were included. Predictive validity and potential gender differences in a biopsychosocial model of violence risk assessment consisting of a psychosocial checklist (Violence risk screening-10, V-RISK-10), a patient's self-report risk scale (SRS), total cholesterol (TC) and high-density lipoprotein cholesterol (HDL) were examined in an inpatient (N = 348) and a 3-months follow-up (N = 101) sample. Overall increases in explained variances and predictive values were small and non-significant compared to V-RISK-10 alone. In the inpatient sample, HDL contributed significantly to the model for men but not for women. In the follow-up sample, SRS contributed significantly for the whole sample. Results indicated that the biopsychosocial model we tested partially improved accuracy of violence risk assessments in acute psychiatry and that gender differences may exist.

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Section: Introductionmentioning

confidence: 95%

Predictive validity and gender differences in a biopsychosocial model of violence risk assessment in acute psychiatry

Eriksen

Færden

Lockertsen

et al. 2018

Psychiatry Research

View full text Add to dashboard Cite

show abstract

“…Several studies have also described gender differences in violence within mental health settings. A single study found female gender to be a predictor of violence (Serper et al 2005), while another did not find gender differences (Brown & Langrish 2012). Another review of 35 studies conducted in acute mental health settings found that male gender is a risk factor for violence (Iozzino et al 2015).…”

Section: Factors Associated With Violencementioning

confidence: 99%

“…Another review of 35 studies conducted in acute mental health settings found that male gender is a risk factor for violence (Iozzino et al 2015). A single study found female gender to be a predictor of violence (Serper et al 2005), while another did not find gender differences (Brown & Langrish 2012). Several systematic reviews of aggression in mental health settings show that being involuntarily admitted is also generally associated with violence (Cornaggia et al 2011;Dack et al 2013) and with specific violence within acute mental health settings (Iozzino et al 2015).…”

Section: Factors Associated With Violencementioning

confidence: 99%

Screening for risk of violence using service users’ self‐perceptions: A prospective study from an acute mental health unit

Lockertsen

Procter

Vatnar

et al. 2017

Int J Mental Health Nurs

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Service users' self-perception of risk has rarely been emphasized in violence risk assessments. A recent review pointed to the importance of a multidisciplinary approach, because different perspectives may provide a deeper and improved understanding of risk assessment. The aim of this study was to investigate service users' perceptions of their own risk of committing violence, using a self-report risk scale, to determine the feasibility and efficacy of this potential violence risk marker during acute mental health hospitalization. All service users admitted to a psychiatric emergency hospital in Norway during one calendar year were included (N = 512). Nearly 80% self-reported no risk or low risk; only seven (1.4%) reported moderate risk or high risk. Service users who reported moderate risk, high risk, don't know, or won't answer were more likely to be violent (OR = 4.65, 95% CI = 2.79-7.74) compared with those who reported no risk or low risk. There was a significant gender interaction with higher OR for women on both univariate and multivariate analyses. Although the OR was higher for women, women's violence rate (11.0%) was almost half that of men (21.8%). For women, sensitivity and specificity were 0.55 and 0.88, respectively; corresponding values for men were 0.40 and 0.80. Inclusion of self-perception of violence risk is the first step towards service users' collaborative involvement in violence prediction; these results indicate that self-perception can contribute to violence risk assessments in acute mental health settings. Findings also indicate that there are gender differences in these assessments.

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Literature Synthesis: Patient Aggression Risk Assessment Tools in the Emergency Department

Calow

Lewis

Showen

et al. 2016

Journal of Emergency Nursing

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Evaluation of a risk assessment tool to predict violent behaviour by patients detained in a psychiatric intensive care unit

Cited by 6 publications

References 12 publications

Predictive validity and gender differences in a biopsychosocial model of violence risk assessment in acute psychiatry

Predictive validity and gender differences in a biopsychosocial model of violence risk assessment in acute psychiatry

Screening for risk of violence using service users’ self‐perceptions: A prospective study from an acute mental health unit

Literature Synthesis: Patient Aggression Risk Assessment Tools in the Emergency Department

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