title: Allocating census data to general practice populations: implications for study of prescribing variation at practice level.
abstract: OBJECTIVE
  To assign census data to general practice populations and to test accuracy of different procedures for estimating the proportion of patients aged over 64.
  
  
  METHODS
  Patients' postcodes from patient register of one family health services authority and the directory linking postcodes to census enumeration districts were used to locate patients in their census area of residence. With different levels of census geography and four different allocation procedures, proportion of patients aged over 64 in each area was used to predict proportion of patients aged over 64 in each general practice. Predicted figures were compared with real figures from each practice register to assess accuracy of allocation methods.
  
  
  METHODS
  Data from 1991 census and from 73 practices administered by one family health services authority.
  
  
  METHODS
  Actual and predicted proportions of patients aged over 64 in general practice populations.
  
  
  RESULTS
  Correlations between actual and predicted proportions of patients aged over 64 were significant for all four allocation procedures--values of 0.66, 0.7, 0.84, and 0.84 were achieved (P < 0.0005). Predicted ranges of proportions of patients aged over 64, however, were well short of those that actually existed, and significant differences existed between predicted percentages and actual figures for all four methods.
  
  
  CONCLUSIONS
  Although predicted values correlated with actual values, the failure of the allocation procedures to correctly predict values, especially at the extremes, casts doubt on the validity of similar techniques for allocating census variables to general practice populations.
authors.affiliation: Prescribing Research Unit, University of Leeds.
authors.forename: G
authors.initials: G
authors.lastname: Scrivener
authors.forename: D C
authors.initials: DC
authors.lastname: Lloyd
mesh_terms: D000367:Age Factors; D000368:Aged; D003710:Demography; D004363:Drug Utilization / Q000706:statistics & numerical data*; D004739:England; D005194:Family Practice / Q000706:statistics & numerical data*; D006801:Humans; D011153:Population; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data*; D012680:Sensitivity and Specificity