title: Do physicians do as they say? The case of mammography.
abstract: OBJECTIVE
  To assess the utility of survey-based physician policy in predicting actual mammography ordering behavior, as measured by medical record abstraction.
  
  
  METHODS
  Cross-sectional survey of practicing community physicians. Responses were correlated with data abstracted from the medical records of patients in the practices of the participating physicians.
  
  
  METHODS
  Family and general practitioners in Washington State. Medical records of female patients aged 40 to 80 years provided data on actual mammography performance.
  
  
  METHODS
  The proportions of female patients aged 40 to 49 and 50 to 80 years who had received a screening mammogram within the previous 2 years.
  
  
  RESULTS
  Of the more than 100 potential predictors available, only 4 were significantly associated with screening rates for women younger than 50 years and only 3 were associated with screening rates for older women. Regression models explained only 21% to 25% of the variance in screening rates. Physician estimates of screening rates were poorly correlated with actual screening rates.
  
  
  CONCLUSIONS
  Practicing physicians do not know how well they screen their patients using mammography. Extensive survey data, including direct estimates of behavior, demographics, policy measures, and case scenario responses, were of limited use in predicting actual screening rates. Our results underscore the importance of using data rather than proxy measures to study physician performance.
authors.affiliation: Department of Family Medicine, University of Washington, Seattle, USA.
authors.forename: B G
authors.initials: BG
authors.lastname: Saver
authors.forename: T R
authors.initials: TR
authors.lastname: Taylor
authors.forename: J R
authors.initials: JR
authors.lastname: Treadwell
authors.forename: W G
authors.initials: WG
authors.lastname: Cole
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008327:Mammography / Q000706:statistics & numerical data*; D008499:Medical Records; D008875:Middle Aged; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data*; D011237:Predictive Value of Tests; D055656:Prescriptions / Q000706:statistics & numerical data*; D012044:Regression Analysis