Hidden severe psychiatric morbidity in sentenced prisoners: an Australian study

Am J Psychiatry. 1991 Feb;148(2):236-9. doi: 10.1176/ajp.148.2.236.

Abstract

Objective: The aim of this survey was to estimate the prevalence of severe mental disorders in a representative sample of sentenced prisoners.

Method: The subjects were selected as a random sample of sentenced prisoners in Melbourne's three metropolitan prisons. Interviews were conducted with 158 men and 31 women. Clinicians used the Structured Clinical Interview for DSM-III-R (SCID) to diagnose psychotic, affective, and substance use disorders.

Results: Six prisoners (3%) received current diagnoses of psychotic disorders, and 23 (12%) were diagnosed as having current mood disorders, mainly major depression. A lifetime diagnosis of at least one mental disorder each was made for 82% of the respondents, and in 26% more than one lifetime disorder was diagnosed. Sixty-nine percent received lifetime diagnoses of dependence on or abuse of alcohol, other psychoactive substances, or a combination of these.

Conclusions: These findings do not indicate a large-scale shift of deinstitutionalized psychotically ill people from mental hospitals to prisons. They do, however, highlight the diversion into the corrections system of substance-dependent people and the apparent pool of prisoners with largely untreated major depression.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Australia
  • Deinstitutionalization
  • Depressive Disorder / diagnosis
  • Depressive Disorder / epidemiology
  • Female
  • Hospitals, Psychiatric
  • Humans
  • Ill-Housed Persons / psychology
  • Male
  • Mental Disorders / diagnosis
  • Mental Disorders / epidemiology*
  • Prevalence
  • Prisoners / psychology*
  • Psychotic Disorders / diagnosis
  • Psychotic Disorders / epidemiology
  • Sampling Studies
  • Sex Factors
  • Substance-Related Disorders / diagnosis
  • Substance-Related Disorders / epidemiology
  • Time Factors