title: Electronic medical records may be inadequate for improving population health status through general practice: cervical smears as a case study.
abstract: OBJECTIVE
  [corrected] To determine whether routine electronic records are an accurate source of population health data in general practice through reviewing cervical smears rates in four South Australian practices.
  
  
  METHODS
  The cervical screening rate in a purposive sample of four general practices (three rural and one urban) was obtained using an audit of medical records and a telephone follow-up.
  
  
  RESULTS
  The cervical screening rate using only immediately available electronic medical records indicated an overall low rate for the participating practices (44.9%). However, telephone follow-up and adjustments to the denominator indicated the real rate to be 85.7%. The offer of appointments during the telephone follow-up further improved this rate for eligible women (93.8%).
  
  
  CONCLUSIONS
  Electronic medical records may be inadequate in preventive screening in general practice, without ensuring their accuracy. Updating records by telephone or personal follow-up produces a much more accurate denominator.
authors.affiliation: Department of General Practice, University of Adelaide, South Australia. caroline.laurence@adelaide.edu.au
authors.forename: Caroline O M
authors.initials: CO
authors.lastname: Laurence
authors.forename: Teresa
authors.initials: T
authors.lastname: Burgess
authors.forename: Justin
authors.initials: J
authors.lastname: Beilby
authors.forename: Brian
authors.initials: B
authors.lastname: Symon
authors.forename: David
authors.initials: D
authors.lastname: Wilkinson
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D005194:Family Practice; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D016347:Medical Records Systems, Computerized / Q000706:statistics & numerical data*; D008875:Middle Aged; D013021:South Australia; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis / Q000517:prevention & control*; D014626:Vaginal Smears / Q000706:statistics & numerical data*