title: Concordance between discharge prescriptions and insurance claims in post-myocardial infarction patients.
abstract: OBJECTIVE
  To assess the degree of concordance between the information (drug quantity, days' supply, and daily dose) recorded on hospital discharge prescriptions and what appears in a public drug insurance electronic claims database.
  
  
  METHODS
  A retrospective chart audit of hospital discharge prescriptions with linkage to a prescription claims database was conducted. Three hundred and forty-five post-myocardial infarction patients discharged from an Ontario university-affiliated teaching hospital were included. The percentage of linkable records with perfect agreement between the written prescription and the insurance claim was our measure of concordance.
  
  
  RESULTS
  Seventy-seven per cent and 82% of discharge prescriptions were filled within 7 days, and 120 days post-discharge, respectively. Of those dispensed and that contained adequate information, concordance was perfect for days' supply, quantity, and daily dose for 70.7% (95%CI 67.9-73.4%), 65.9% (95%CI 63.2-68.7%), and 75.9% (95%CI 73.2-78.6%) of prescriptions, respectively. For cardiac drugs, which comprised the majority of filled prescriptions, concordance was greater for daily dose and days' supply than for quantity (75.7% [95%CI 72.7-78.6%] and 75.5% [95%CI 72.6-78.4%] vs. 65.3% [95%CI 62.3-68.4%]). Concordance varied by medication type.
  
  
  CONCLUSIONS
  Most hospital discharge prescriptions were filled within 1 week. Among the data elements studied, concordance between written prescriptions and insurance claims was greatest for daily dose. Concordance was greater for scheduled cardiac medications than for other medications.
authors.affiliation: University Health Network, Toronto, ON, Canada. cynthia.jackevicius@uhn.on.ca
authors.forename: Cynthia A
authors.initials: CA
authors.lastname: Jackevicius
authors.forename: J Michael
authors.initials: JM
authors.lastname: Paterson
authors.forename: Gary
authors.initials: G
authors.lastname: Naglie
mesh_terms: D000368:Aged; D002317:Cardiovascular Agents / Q000008:administration & dosage*; D016303:Clinical Pharmacy Information Systems / Q000706:statistics & numerical data*; D011307:Drug Prescriptions / Q000706:statistics & numerical data; D004363:Drug Utilization / Q000706:statistics & numerical data; D005260:Female; D006784:Hospitals, Teaching / Q000706:statistics & numerical data*; D006801:Humans; D007344:Insurance Claim Reporting / Q000706:statistics & numerical data*; D008297:Male; D009203:Myocardial Infarction / Q000188:drug therapy*; D009864:Ontario; D010349:Patient Compliance; D010351:Patient Discharge / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D013997:Time Factors
chemical_list: D002317:Cardiovascular Agents