title: Administrative data algorithms can describe ambulatory physician utilization.
abstract: OBJECTIVE
  To validate algorithms using administrative data that characterize ambulatory physician care for patients with a chronic disease.
  
  
  METHODS
  Seven-hundred and eighty-one people with diabetes were recruited mostly from community pharmacies to complete a written questionnaire about their physician utilization in 2002. These data were linked with administrative databases detailing health service utilization.
  
  
  METHODS
  An administrative data algorithm was defined that identified whether or not patients received specialist care, and it was tested for agreement with self-report. Other algorithms, which assigned each patient to a primary care and specialist physician, were tested for concordance with self-reported regular providers of care.
  
  
  RESULTS
  The algorithm to identify whether participants received specialist care had 80.4 percent agreement with questionnaire responses (kappa=0.59). Compared with self-report, administrative data had a sensitivity of 68.9 percent and specificity 88.3 percent for identifying specialist care. The best administrative data algorithm to assign each participant's regular primary care and specialist providers was concordant with self-report in 82.6 and 78.2 percent of cases, respectively.
  
  
  CONCLUSIONS
  Administrative data algorithms can accurately match self-reported ambulatory physician utilization.
authors.affiliation: Institute for Clinical Evaluative Sciences, G106-2075 Bayview Avenue, Toronto, ON, Canada M4N 3M5.
authors.forename: Baiju R
authors.initials: BR
authors.lastname: Shah
authors.forename: Janet E
authors.initials: JE
authors.lastname: Hux
authors.forename: Andreas
authors.initials: A
authors.lastname: Laupacis
authors.forename: Bernard
authors.initials: B
authors.lastname: Zinman
authors.forename: Karen
authors.initials: K
authors.lastname: Cauch-Dudek
authors.forename: Gillian L
authors.initials: GL
authors.lastname: Booth
mesh_terms: D000465:Algorithms; D000553:Ambulatory Care / Q000706:statistics & numerical data*; D003920:Diabetes Mellitus / Q000628:therapy*; D005260:Female; D006302:Health Services Research; D006801:Humans; D007345:Insurance Claim Review; D008297:Male; D008875:Middle Aged; D009864:Ontario; D010820:Physicians / Q000706:statistics & numerical data*; D012372:ROC Curve