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Prediction of violent recidivism.

¹Mid-Hudson Forensic Psychiatric Hospital and Columbia College of Physicians & Surgeons, New York, NY 10024, USA.

Acta Psychiatrica Scandinavica. Supplementum

|June 20, 2002

Summary

Accurate prediction of violent recidivism has significantly improved with objective risk assessment tools. These instruments, including the Psychopathy Checklist-Revised and VRAG, enhance violence risk assessment accuracy.

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Area of Science:

Forensic Psychology
Criminology
Psychiatry

Background:

Assessing violent recidivism is crucial for public safety and offender management.
Previous methods relied on subjective evaluations, leading to inaccuracies.

Purpose of the Study:

To detail advancements in predicting violent recidivism.
To review the evolution and effectiveness of violence risk assessment tools.

Main Methods:

Literature review of significant prediction models for violent recidivism.
Analysis of the application and results of various risk assessment instruments.

Main Results:

Objective instruments like the Psychopathy Checklist-Revised, Violence Risk Assessment Guide (VRAG), and HCR-20 have improved risk assessment accuracy.
Full-blown psychopathy is a stronger predictor of violence than antisocial personality disorder (DSM-IV).
Challenges remain in predicting violence for individuals with limited past violence, particularly those from affluent backgrounds or with histories of abuse.

Conclusions:

The prediction of violent recidivism has seen substantial improvements over the past two decades.
Objective risk assessment instruments are key to these advancements in predicting future violence.

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