title: Young working women utilise the after hours service at Sydney Sexual Health Centre.
abstract: OBJECTIVE
  To analyse patterns of patient utilisation of the after hours service at Sydney Sexual Health Centre (SSHC).
  
  
  METHODS
  A retrospective cross sectional database study compared all new daytime and after hours patients who registered for a medical consultation at SSHC between August 1994 and February 1995. Daytime and after hours attenders were compared using demographic and behavioural factors and for prevalence of STDs and HIV using logistic regression analysis.
  
  
  RESULTS
  Of the 1662 eligible patients, 1362 (81.9%) attended during daytime hours, and 300 (18.1%) attended after hours. There was no significant difference in after hours attendance between patients living in inner compared with outer metropolitan zones. Using logistic regression analysis, being female (p = 0.0008), being between 20 and 39 years of age (p = 0.008), being employed (p < 0.001), and having no previous STD/genitourinary condition (p = 0.034) were the factors significantly associated with after hours attendance.
  
  
  CONCLUSIONS
  The evening service was disproportionately utilised by a patient group not defined as "high risk" in the objectives of the service. This study challenges the assumption that evening clinics are always the way to reach high risk groups.
authors.affiliation: Academic Unit of Sexual Health Medicine, Sydney Hospital, NSW, Australia.
authors.forename: R
authors.initials: R
authors.lastname: Tideman
authors.forename: C
authors.initials: C
authors.lastname: Estcourt
authors.forename: J M
authors.initials: JM
authors.lastname: Simpson
authors.forename: A
authors.initials: A
authors.lastname: Mindel
mesh_terms: D000293:Adolescent; D000328:Adult; D003430:Cross-Sectional Studies; D005260:Female; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D010044:Outpatient Clinics, Hospital / Q000706:statistics & numerical data*; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data*; D015995:Prevalence; D012044:Regression Analysis; D012189:Retrospective Studies; D012306:Risk; D012749:Sexually Transmitted Diseases / Q000453:epidemiology / Q000628:therapy*; D014931:Women, Working / Q000706:statistics & numerical data*