Differential predictive validity of the Historical, Clinical and Risk Management Scales (HCR-20) for inpatient aggression

Laura E. O'Shea, Marco M. Picchioni, Fiona L. Mason, Philip A. Sugarman, Geoffrey L. Dickens*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

The Historical, Clinical and Risk Management Scales (HCR-20) may be a better predictor of inpatient aggression for selected demographic and clinical groups but homogeneity of study samples has prevented definitive conclusions. The aim of this study, therefore, was to test the predictive validity of the HCR-20 as a function of gender, diagnosis, age, and ethnicity while controlling for potential covariates. A pseudo-prospective cohort study (n=505) was conducted in a UK secure/forensic mental health setting using routinely collected data. The HCR-20 predicted aggression better for women than men, and for people with schizophrenia and/or personality disorder than for other diagnostic groups. In women, the presence of the risk management items (R5) was important while men's aggression was best predicted solely by current clinical features from the C5 scale. R5 items were better than C5 items for predicting aggression in people with organic and developmental diagnoses. Our data provide additional information on which HCR-20 raters can formulate overall summary judgements about risk for inpatient aggression based on important demographic and clinical characteristics.

Original languageEnglish
Pages (from-to)669-678
Number of pages10
JournalPsychiatry Research
Volume220
Issue number1-2
DOIs
Publication statusPublished - 15 Dec 2014
Externally publishedYes

Keywords

  • Diagnosis
  • Inpatients
  • Mental health
  • Personality disorders
  • Risk assessment
  • Schizophrenia
  • Violence

Fingerprint

Dive into the research topics of 'Differential predictive validity of the Historical, Clinical and Risk Management Scales (HCR-20) for inpatient aggression'. Together they form a unique fingerprint.

Cite this