Dataset Information

Identifying Causal Risk Factors for Violence among Discharged Patients.

ABSTRACT:

Background

Structured Professional Judgement (SPJ) is routinely administered in mental health and criminal justice settings but cannot identify violence risk above moderate accuracy. There is no current evidence that violence can be prevented using SPJ. This may be explained by routine application of predictive instead of causal statistical models when standardising SPJ instruments.

Methods

We carried out a prospective cohort study of 409 male and female patients discharged from medium secure services in England and Wales to the community. Measures were taken at baseline (pre-discharge), 6 and 12 months post-discharge using the Historical, Clinical and Risk-20 items version 3 (HCR-20v3) and Structural Assessment of Protective Factors (SAPROF). Information on violence was obtained via the McArthur community violence instrument and the Police National Computer.

Results

In a lagged model, HCR-20v3 and SAPROF items were poor predictors of violence. Eight items of the HCR-20v3 and 4 SAPROF items did not predict violent behaviour better than chance. In re-analyses considering temporal proximity of risk/ protective factors (exposure) on violence (outcome), risk was elevated due to violent ideation (OR 6.98, 95% CI 13.85-12.65, P<0.001), instability (OR 5.41, 95% CI 3.44-8.50, P<0.001), and poor coping/ stress (OR 8.35, 95% CI 4.21-16.57, P<0.001). All 3 risk factors were explanatory variables which drove the association with violent outcome. Self-control (OR 0.13, 95% CI 0.08-0.24, P<0.001) conveyed protective effects and explained the association of other protective factors with violence.

Conclusions

Using two standardised SPJ instruments, predictive (lagged) methods could not identify risk and protective factors which must be targeted in interventions for discharged patients with severe mental illness. Predictive methods should be abandoned if the aim is to progress from risk assessment to effective risk management and replaced by methods which identify factors causally associated with violence.

SUBMITTER: Coid JW

PROVIDER: S-EPMC4640710 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

Identifying Causal Risk Factors for Violence among Discharged Patients.

Coid Jeremy W JW Kallis Constantinos C Kallis Constantinos C Doyle Mike M Shaw Jenny J Ullrich Simone S

PloS one 20151110 11

<h4>Background</h4>Structured Professional Judgement (SPJ) is routinely administered in mental health and criminal justice settings but cannot identify violence risk above moderate accuracy. There is no current evidence that violence can be prevented using SPJ. This may be explained by routine application of predictive instead of causal statistical models when standardising SPJ instruments.<h4>Methods</h4>We carried out a prospective cohort study of 409 male and female patients discharged from m ...[more]

PMID: 26554711

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Dataset Information

Identifying Causal Risk Factors for Violence among Discharged Patients.

Background

Methods

Results

Conclusions

Publications

Identifying Causal Risk Factors for Violence among Discharged Patients.

Similar Datasets

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