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Related Experiment Videos

Risk and dangerousness.

A Buchanan1

  • 1Department of Forensic Psychiatry, Institute of Psychiatry, London.

Psychological Medicine
|April 28, 1999
PubMed
Summary
This summary is machine-generated.

Improving clinical prediction of patient violence requires moving beyond purely mathematical, actuarial methods. Exploring probability derived from causes, not just chance, offers a path to more accurate risk assessment in psychiatry.

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Area of Science:

  • Psychiatry
  • Psychology
  • Risk Assessment

Background:

  • The prediction of patient violence is a critical challenge in clinical practice.
  • Current approaches often rely on actuarial (mathematical) or clinical (exclusionary) methods, with unclear definitions.
  • Actuarial methods, widely accepted for risk prediction, have limitations in fully addressing violence assessment.

Purpose of the Study:

  • To critically evaluate the relative merits of actuarial versus clinical prediction of violence.
  • To explore alternative frameworks for improving the accuracy of risk assessment in psychiatric patients.
  • To propose a refined definition of clinical prediction based on causal probability.

Main Methods:

  • Review and analysis of existing literature on actuarial and clinical prediction methods in violence risk assessment.

Related Experiment Videos

  • Examination of the limitations of mathematical approaches in predicting violence.
  • Conceptual development of probability derived from causes as a basis for prediction.

    • Main Results:

    • Mathematical methods have confirmed that general population risk factors for violence apply to mentally disordered individuals.
    • Existing actuarial approaches primarily address probability derived from chance, leaving key questions unanswered.
    • A framework based on probability derived from causes offers potential for enhanced risk assessment.

    Conclusions:

    • While actuarial methods have demonstrated utility, they do not fully capture the complexities of violence prediction.
    • A conceptual shift towards understanding probability from causes is necessary for advancing psychiatric risk assessment.
    • This approach provides a non-exclusionary definition for clinical prediction, improving its scientific rigor.