Related Experiment Video
Updated: Jul 19, 2026

09:12
The Resident-intruder Paradigm: A Standardized Test for Aggression, Violence and Social Stress
Published on: July 4, 2013
The Behavioural Status Index: testing a social risk assessment model in a high security forensic setting
Phil Woods1, Val Reed, Mick Collins
1University of Hertfordshire, Hertfordshire, United Kingdom.
Journal of Forensic Nursing
|November 1, 2006
Summary
The Behavioural Status Index model, assessing social risk, insight, and communication skills, found limited support in a study of 503 patients. Emerging behavioral patterns did not align with the proposed inverse relationship between social risk and patient skills.
Area of Science:
- Psychiatry
- Clinical Psychology
- Behavioral Science
Background:
- The Behavioural Status Index (BSI) model posits an inverse relationship between social risk and an individual's insight and social-communicative skills.
- Understanding these dynamics is crucial for effective mental health interventions in high-security settings.
Purpose of the Study:
- To explore emergent trends in data concerning the risk, insight, and communication and social skills subscales of the BSI model.
- To evaluate the empirical support for the BSI model's proposed relationships within a forensic psychiatric population.
Main Methods:
- Data were collected from 503 patients admitted to two high-security mental health facilities.
- Factor analysis was employed to examine the underlying structure of the BSI subscales and behavioral data.
Main Results:
- A distinct factorial structure was identified, indicating natural groupings of patient behaviors.
- However, the empirical findings provided limited support for the overall Behavioural Status Index model as conceptualized.
Conclusions:
- While specific behavioral clusters were observed, the proposed inverse relationship between social risk and patient insight/skills was not strongly substantiated.
- Further research is needed to refine or reconsider the BSI model's theoretical framework and its application in high-security mental health settings.
