title: Factors associated with non-attendance at a secondary prevention clinic for cardiac patients.
abstract: BACKGROUND
  A randomised controlled trial was undertaken to test the effectiveness of a secondary prevention clinic. Secondary prevention programs can improve prognosis after an acute cardiac illness. It is therefore important to encourage high participation rates.
  
  
  OBJECTIVE
  The present study was a post-hoc analysis to identify factors associated with patients' non-attendance at the clinic.
  
  
  METHODS
  We compared the baseline socio-demographic and clinical characteristics of 83 (73.5% male) non-attending patients and a random sample of 96 (85.4% male) attending patients. Self-reported data were gathered during interviews conducted on an average of 30 months after hospital admission to investigate long-term outcomes of the clinic.
  
  
  RESULTS
  Using logistic regression analysis, we found that non-attendance was significantly and independently associated with being female, being under 60 years of age, having no history of high cholesterol and having no angina prior to the event. In bivariate analyses, non-attendance was also associated with being born overseas and not having private health insurance.
  
  
  CONCLUSIONS
  Likely non-attending patients should be identified early and more effective strategies should be devised to facilitate their participation in secondary prevention programs.
authors: Heart Research Centre, Box 2137 Post Office, Royal Melbourne Hospital, Victoria 3050, Melbourne, Australia. m.worchester@melb.edu.au
authors: Marian Una Christine
authors: MU
authors: Worcester
authors: Zlatko
authors: Z
authors: Stojcevski
authors: Barbara
authors: B
authors: Murphy
authors: Alan James
authors: AJ
authors: Goble
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D007722:Health Knowledge, Attitudes, Practice; D006331:Heart Diseases / Q000517:prevention & control* / Q000523:psychology*; D006801:Humans; D007348:Insurance, Health / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D010044:Outpatient Clinics, Hospital / Q000592:standards / Q000706:statistics & numerical data*; D010353:Patient Education as Topic; D017010:Reminder Systems; D012111:Residence Characteristics / Q000706:statistics & numerical data; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D016312:Treatment Refusal / Q000523:psychology*; D014739:Victoria