Social predictors of out-patient mental health contact in schizophrenia patients

Soc Psychiatry Psychiatr Epidemiol. 2007 Jun;42(6):452-6. doi: 10.1007/s00127-007-0187-y. Epub 2007 Apr 30.

Abstract

Introduction: Since community-based health care was introduced, the use of mental health services by patients with serious mental disorders has been an issue of much interest. However, our knowledge of intervening factors is both scarce and partial.

Objective: To study socio-demographic variables which may predict time-lapse (in days) between each out-patient contact among a cohort of schizophrenia patients.

Method: Data comes from the South Granada Schizophrenia Case Register. We used Cox's regression analysis to study the influence of the socio-demographic variables in the time lapsed between out-patient contacts.

Results: After adjusting for all other socio-demographic variables included, we found that to live in a rural area and being younger independently predicted a longer time-lapse between out-patient contacts while being retired predicted a shorter interval between such contacts. Other variables such as sex, educational level and marital status did not determine such length between out-patients contacts.

Conclusion: Socio-demographic variables, and not only psychopathological ones, determine mental health out-patient service use.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Community Mental Health Services / organization & administration
  • Community Mental Health Services / statistics & numerical data*
  • Demography
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Middle Aged
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Registries / statistics & numerical data
  • Regression Analysis
  • Rural Health
  • Schizophrenia / diagnosis
  • Schizophrenia / epidemiology
  • Schizophrenia / rehabilitation*
  • Schizophrenic Psychology*
  • Social Environment
  • Socioeconomic Factors
  • Spain / epidemiology
  • Urban Health