title: Access to mental health care in an inner-city health district. II: Association with demographic factors.
abstract: BACKGROUND
  In addition to clinical and service factors, planners need to take account of the influence of demographic variables, especially ethnicity, on access to mental health care.
  
  
  METHODS
  Estimated prevalence rates were calculated from epidemiological surveys undertaken in three settings: psychiatric services, primary care and the general population. Associations between demographic factors and service use were examined using the 'pathways to care' model.
  
  
  RESULTS
  Considerable differences in access to mental health care were found, particularly according to ethnicity. The major impediment to Asians accessing care occurred at the interface between primary and secondary care, whereas the most striking feature for Blacks was the poor level of case recognition by GPs.
  
  
  CONCLUSIONS
  In order to improve the uptake of mental health care, new initiatives should target those who are most likely to be unwell but least likely to access services. Purchasers and providers need to address differential patterns of use when developing and reviewing services.
authors.affiliation: Academic Unit, Northern Birmingham Mental Health Trust.
authors.forename: M J
authors.initials: MJ
authors.lastname: Commander
authors.forename: S P
authors.initials: SP
authors.lastname: Dharan
authors.forename: S M
authors.initials: SM
authors.lastname: Odell
authors.forename: P G
authors.initials: PG
authors.lastname: Surtees
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D019091:Critical Pathways; D004651:Employment; D004739:England / Q000453:epidemiology; D005260:Female; D006297:Health Services Accessibility; D006801:Humans; D008297:Male; D017533:Marital Status; D001523:Mental Disorders / Q000453:epidemiology*; D008605:Mental Health Services / Q000706:statistics & numerical data*; D008875:Middle Aged; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data; D015995:Prevalence; D012737:Sex Factors; D019037:Urban Health Services / Q000706:statistics & numerical data*