title: The independent effect of age of general practitioner on clinical practice.
abstract: OBJECTIVE
  To establish the extent to which general practitioner age alone explains variations in patient morbidity and treatment patterns.
  
  
  METHODS
  An on-going, national survey of general practice activity in Australia.
  
  
  METHODS
  A random sample of 5013 GPs with a minimum of 375 general practice Medicare items claimed in the previous 3 months. Each GP contributed details of 100 consecutive encounters, with about 1000 GPs sampled each year between 1998 and 2003.
  
  
  METHODS
  Effect of practitioner age on GP activity after removing the influence of measured confounding factors: doctor, patient and practice characteristics; number of problems; and morbidity managed at encounters.
  
  
  RESULTS
  GP age played a significant role in practice style. In comparison with young GPs (< 35 years), older GPs provided more home visits (P < 0.001) and attendances at residential aged-care facilities (P = 0.044); were more likely to manage chronic problems (P < 0.001); had higher prescribing rates (P < 0.001), and lower rates of pathology ordering (P < 0.001) and non-pharmacological treatments (P < 0.001). Individual body system management rates also differed significantly between younger and older GPs.
  
  
  CONCLUSIONS
  A GP's age plays a significant role in determining practice style. Our results have implications in terms of the ageing GP population and in the wider context of the ageing medical labour force.
authors.affiliation: Australian General Practice Statistics and Classification Centre, University of Sydney, Sydney, NSW, Australia. janc@med.usyd.edu.au
authors.forename: Janice
authors.initials: J
authors.lastname: Charles
authors.forename: Helena
authors.initials: H
authors.lastname: Britt
authors.forename: Lisa
authors.initials: L
authors.lastname: Valenti
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D001315:Australia; D005194:Family Practice / Q000706:statistics & numerical data / Q000639:trends*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010818:Practice Patterns, Physicians' / Q000639:trends*