Modifiable risk factors for inpatient violence in psychiatric hospital: prospective study and prediction model
- PMID: 34024292
- PMCID: PMC9899559
- DOI: 10.1017/S0033291721002063
Modifiable risk factors for inpatient violence in psychiatric hospital: prospective study and prediction model
Abstract
Background: 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.
Methods: 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.
Results: 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.
Conclusions: 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.
Keywords: Inpatients; prediction; psychosis; risk assessment; violence.
Figures
References
-
- Bowers, L., Stewart, D., Papadopoulos, C., Dack, C., Ross, J., Khanom, H., … Jeffery, D. (2011). Inpatient violence and aggression: A literature review. London: Section of Mental Health Nursing Health, Service and Population Research, Institute of Psychiatry, King's College London. Retrieved from https://pdfs.semanticscholar.org/b98f/4ff17c264fd919542dcc14905b280c8776....
-
- Cullen, A. E., Clarke, A. Y., Kuipers, E., Hodgins, S., Dean, K., & Fahy, T. (2012). A multi-site randomized controlled trial of a cognitive skills programme for male mentally disordered offenders: Social–cognitive outcomes. Psychological Medicine, 42, 557–569. doi: 10.1017/S0033291711001553 - DOI - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical