title: Provision of extractions by main diagnoses.
abstract: OBJECTIVE
  The aim of this study was to investigate the association of extractions by the diagnoses of caries, pulpal/periapical infection and periodontal disease, controlling for visit type, insurance and age.
  
  
  METHODS
  Cross-sectional analysis of the 1993-94 wave of a longitudinal study.
  
  
  METHODS
  Private general dental practice.
  
  
  METHODS
  A random sample of Australian registered dentists, (response rate = 74%).
  
  
  METHODS
  Practitioners completed service logs over one to two typical clinical days.
  
  
  METHODS
  Percentage of patients receiving extractions.
  
  
  RESULTS
  Overall, 7.05% of patients received extractions, with the highest percentages occurring for persons with caries (7.90%), periodontal disease (17.45%) and pulpal/periapical infection (17.54%). Odds of extraction were higher at emergency visits for insured and uninsured patients compared to non-emergency visits by insured patients, while odds of extraction (Logistic regression: OR = Odds ratio; 95% CI) were higher for 18-44 year-olds with caries (OR = 1.44; 1.09-1.89), for 18-44 (OR = 1.84; 1.34-2.54) and 45+ year-olds (OR = 1.83; 1.27-2.63) with pulpal/periapical infection, and for 45+ year-olds (OR = 6.82; 4.68-9.95) with periodontal disease.
  
  
  CONCLUSIONS
  There were different age-specific causes of extraction, controlling for visit type and insurance. Effect sizes were highest for pulpal/periapical infection and periodontal disease, but caries remained a major cause of tooth loss due to the higher prevalence of this condition.
authors.affiliation: AIHW Dental Statistics and Research Unit, Dental School, Faculty of Health Sciences, University of Adelaide, Adelaide, South Australia 5005.
authors.forename: D S
authors.initials: DS
authors.lastname: Brennan
authors.forename: A J
authors.initials: AJ
authors.lastname: Spencer
authors.forename: F S
authors.initials: FS
authors.lastname: Szuster
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D001315:Australia / Q000453:epidemiology; D002648:Child; D002675:Child, Preschool; D016001:Confidence Intervals; D003430:Cross-Sectional Studies; D003729:Dental Care / Q000145:classification / Q000706:statistics & numerical data; D003731:Dental Caries / Q000453:epidemiology; D003788:Dental Pulp Diseases / Q000453:epidemiology; D003945:Diagnosis, Oral / Q000706:statistics & numerical data*; D004632:Emergency Medical Services / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D007347:Insurance, Dental / Q000706:statistics & numerical data; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D017057:Medically Uninsured / Q000706:statistics & numerical data; D008875:Middle Aged; D016017:Odds Ratio; D010483:Periapical Diseases / Q000453:epidemiology; D010510:Periodontal Diseases / Q000453:epidemiology; D015995:Prevalence; D014081:Tooth Extraction / Q000706:statistics & numerical data*; D016388:Tooth Loss / Q000453:epidemiology