A cross sectional study of prevalence and correlates of current and past risks in schizophrenia

Asian J Psychiatr. 2015 Apr:14:36-41. doi: 10.1016/j.ajp.2015.01.005. Epub 2015 Feb 3.

Abstract

Background: The growing burden of chronic often untreated mental illness has increased the importance of risk assessment in people suffering from major mental disorders.

Aims: The present study was undertaken to obtain prevalence of various risks and predictive factors for self-harm, violence and various other risks among randomly recruited schizophrenia subjects (N=270) on the basis of past history of their disorder.

Method: Using a rigorous translation, back translation and acceptability process, a specially constructed semi-structured assessment interview, based on a prior NHS Trust risk assessment interview along with the Diagnostic Interview for Genetic Studies (DIGS), detailed information was obtained for various risks.

Results: Risk of violence (historical) was reported among 65.55%, and risk of self-neglect among 53.33%, risk to others (47.41%), risk of coming to harm (24.07%), self-harm (22.59%), risk from others (11.85%), fire risk (2.96%). Risk of violence (historical) and risk to others was related to 'ever' having emotions related to harm and self-harm, 'current' emotions related to violence and poor compliance to treatment.

Conclusion: Regular risk assessment is essential to assess emotions related to violence and non-adherence to treatment. Assessment of risk helps clinicians predict the risks involved in management and in timely intervention.

Keywords: Harm; Risk; Schizophrenia; Violence.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Female
  • Humans
  • India / epidemiology
  • Male
  • Patient Compliance
  • Prevalence
  • Risk Assessment
  • Risk Factors
  • Schizophrenia / epidemiology
  • Schizophrenia / therapy
  • Schizophrenic Psychology*
  • Self-Injurious Behavior / psychology*
  • Violence / psychology
  • Violence / statistics & numerical data*