Modifiable risk factors for inpatient violence in psychiatric hospital: prospective study and prediction model

<p><strong>Background</strong> Violence perpetrated by psychiatric inpatients is associated with modifiable factors. Current structured approaches to assess inpatient violence risk lack predictive validity and linkage to interventions.</p> <p><strong>Methods</...

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Main Authors: Fazel, S, Toynbee, M, Ryland, H, Vazquez-Montes, M, Al-Taiar, H, Wolf, A, Aziz, O, Khosla, V, Gulati, G, Fanshawe, T
Format: Journal article
Language:English
Published: Cambridge University Press 2021
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author Fazel, S
Toynbee, M
Ryland, H
Vazquez-Montes, M
Al-Taiar, H
Wolf, A
Aziz, O
Khosla, V
Gulati, G
Fanshawe, T
author_facet Fazel, S
Toynbee, M
Ryland, H
Vazquez-Montes, M
Al-Taiar, H
Wolf, A
Aziz, O
Khosla, V
Gulati, G
Fanshawe, T
author_sort Fazel, S
collection OXFORD
description <p><strong>Background</strong> Violence perpetrated by psychiatric inpatients is associated with modifiable factors. Current structured approaches to assess inpatient violence risk lack predictive validity and linkage to interventions.</p> <p><strong>Methods</strong> Adult psychiatric inpatients on forensic and general wards in three psychiatric hospitals were recruited and followed up prospectively for 6 months. Information on modifiable (dynamic) risk factors were collected every 1–4 weeks, and baseline background factors. Data were transferred to a web-based monitoring system (FOxWeb) to calculate a total dynamic risk score. Outcomes were extracted from an incident-reporting system recording aggression and interpersonal violence. The association between total dynamic score and violent incidents was assessed by multilevel logistic regression and compared with dynamic score excluded.</p> <p><strong>Results</strong> We recruited 89 patients and conducted 624 separate assessments (median 5/patient). Mean age was 39 (s.d. 12.5) years with 20% (n = 18) female. Common diagnoses were schizophrenia-spectrum disorders (70%, n = 62) and personality disorders (20%, n = 18). There were 93 violent incidents. Factors contributing to violence risk were a total dynamic score of ⩾1 (OR 3.39, 95% CI 1.25–9.20), 10-year increase in age (OR 0.67, 0.47–0.96), and female sex (OR 2.78, 1.04–7.40). Non-significant associations with schizophrenia-spectrum disorder were found (OR 0.50, 0.20–1.21). In a fixed-effect model using all covariates, AUC was 0.77 (0.72–0.82) and 0.75 (0.70–0.80) when the dynamic score was excluded.</p> <p><strong>Conclusions</strong> In predicting violence risk in individuals with psychiatric disorders, modifiable factors added little incremental value beyond static ones in a psychiatric inpatient setting. Future work should make a clear distinction between risk factors that assist in prediction and those linked to needs.</p>
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spelling oxford-uuid:332d5382-4e30-41fd-82ec-7b858e8367322023-04-27T09:16:30ZModifiable risk factors for inpatient violence in psychiatric hospital: prospective study and prediction modelJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:332d5382-4e30-41fd-82ec-7b858e836732EnglishSymplectic ElementsCambridge University Press2021Fazel, SToynbee, MRyland, HVazquez-Montes, MAl-Taiar, HWolf, AAziz, OKhosla, VGulati, GFanshawe, T<p><strong>Background</strong> Violence perpetrated by psychiatric inpatients is associated with modifiable factors. Current structured approaches to assess inpatient violence risk lack predictive validity and linkage to interventions.</p> <p><strong>Methods</strong> Adult psychiatric inpatients on forensic and general wards in three psychiatric hospitals were recruited and followed up prospectively for 6 months. Information on modifiable (dynamic) risk factors were collected every 1–4 weeks, and baseline background factors. Data were transferred to a web-based monitoring system (FOxWeb) to calculate a total dynamic risk score. Outcomes were extracted from an incident-reporting system recording aggression and interpersonal violence. The association between total dynamic score and violent incidents was assessed by multilevel logistic regression and compared with dynamic score excluded.</p> <p><strong>Results</strong> We recruited 89 patients and conducted 624 separate assessments (median 5/patient). Mean age was 39 (s.d. 12.5) years with 20% (n = 18) female. Common diagnoses were schizophrenia-spectrum disorders (70%, n = 62) and personality disorders (20%, n = 18). There were 93 violent incidents. Factors contributing to violence risk were a total dynamic score of ⩾1 (OR 3.39, 95% CI 1.25–9.20), 10-year increase in age (OR 0.67, 0.47–0.96), and female sex (OR 2.78, 1.04–7.40). Non-significant associations with schizophrenia-spectrum disorder were found (OR 0.50, 0.20–1.21). In a fixed-effect model using all covariates, AUC was 0.77 (0.72–0.82) and 0.75 (0.70–0.80) when the dynamic score was excluded.</p> <p><strong>Conclusions</strong> In predicting violence risk in individuals with psychiatric disorders, modifiable factors added little incremental value beyond static ones in a psychiatric inpatient setting. Future work should make a clear distinction between risk factors that assist in prediction and those linked to needs.</p>
spellingShingle Fazel, S
Toynbee, M
Ryland, H
Vazquez-Montes, M
Al-Taiar, H
Wolf, A
Aziz, O
Khosla, V
Gulati, G
Fanshawe, T
Modifiable risk factors for inpatient violence in psychiatric hospital: prospective study and prediction model
title Modifiable risk factors for inpatient violence in psychiatric hospital: prospective study and prediction model
title_full Modifiable risk factors for inpatient violence in psychiatric hospital: prospective study and prediction model
title_fullStr Modifiable risk factors for inpatient violence in psychiatric hospital: prospective study and prediction model
title_full_unstemmed Modifiable risk factors for inpatient violence in psychiatric hospital: prospective study and prediction model
title_short Modifiable risk factors for inpatient violence in psychiatric hospital: prospective study and prediction model
title_sort modifiable risk factors for inpatient violence in psychiatric hospital prospective study and prediction model
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