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Updated: Mar 14, 2026

The Resident-intruder Paradigm: A Standardized Test for Aggression, Violence and Social Stress
Published on: July 4, 2013
Predicting hospital aggression in secure psychiatric care
Jane L Ireland1, Lee J Priday2, Carol A Ireland1
1, PhD, University of Central Lancashire, Preston, and Ashworth Research Centre, Mersey Care NHS Trust, Maghull, UK.
The Violence Risk Appraisal Guide (VRAG) showed better, though still limited, prediction of long-term aggression risk compared to the Historical, Clinical and Risk Management - 20 (HCR-20) in male psychiatric patients.
Area of Science:
- Forensic Psychiatry
- Clinical Psychology
- Risk Assessment
Background:
- Risk assessment instruments are widely used for predicting future aggression.
- These tools claim to offer reliable long-term aggression risk predictions.
- Their efficacy in high-security psychiatric settings requires ongoing evaluation.
Purpose of the Study:
- To evaluate the 12-month and 4-year predictive accuracy of the HCR-20 and VRAG.
- To assess the utility of these instruments for aggression risk in personality disordered patients.
- To determine the performance of actuarial versus structured professional judgment in this population.
Main Methods:
- Study involved adult male psychiatric patients in a high-secure hospital.
- All participants had a diagnosis of personality disorder.
- The primary outcome measured was aggression within the hospital setting.
Main Results:
- The Violence Risk Appraisal Guide (VRAG) outperformed the Historical, Clinical and Risk Management - 20 (HCR-20).
- Neither instrument demonstrated high overall predictive performance.
- Predictive value was more apparent over a 4-year period and for specific aggression types.
Conclusions:
- The study questions the overall clinical utility of HCR-20 and VRAG for aggression assessment in this specific patient group.
- Findings suggest limited predictive value, particularly for shorter timeframes.
- Further research may be needed to refine instruments or identify alternative assessment methods.
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