title: Breast cancer incidence using administrative data: correction with sensitivity and specificity.
abstract: OBJECTIVE
  To estimate breast cancer incidence in the general population using a method that corrects for lack of sensitivity and specificity in the identification of incident breast cancer in inpatient claims data.
  
  
  METHODS
  Two-phase study: phase 1 to identify incident cases in claims data, and phase 2 to estimate sensitivity and specificity in a subset of the population. Two algorithms (1: principal diagnosis; 2: principal diagnosis+specific surgery procedures) were used to identify incident cases in claims of women aged 20 years or older, living in a French district covered by a cancer registry. Sensitivity and specificity were estimated in one district and used to correct incident cases identified.
  
  
  RESULTS
  The sensitivity and specificity for algorithms 1 and 2 were 69.0% and 99.89%, and 64.4% and 99.93%, respectively. In contrast to specificity, the sensitivity for both algorithms was lower for women younger than 40 years and older than 65 years. Cases reported by cancer registries were closer to cases identified with algorithm 2 (-3.2% to +20.1%) and to corrected numbers with algorithm 1 (-1% to +15%).
  
  
  CONCLUSIONS
  To obtain reliable estimates of breast cancer incidence in the general population, sensitivity and specificity, which reflect medical and coding practice variations, are necessary.
authors.affiliation: Pole Information Médicale Evaluation Recherche, Hospices Civils de Lyon, Université de Lyon, Santé Individu Société, Lyon, France. ccouris@cihi.ca
authors.forename: Chantal Marie
authors.initials: CM
authors.lastname: Couris
authors.forename: Stephanie
authors.initials: S
authors.lastname: Polazzi
authors.forename: Frederic
authors.initials: F
authors.lastname: Olive
authors.forename: Laurent
authors.initials: L
authors.lastname: Remontet
authors.forename: Nadine
authors.initials: N
authors.lastname: Bossard
authors.forename: Frederic
authors.initials: F
authors.lastname: Gomez
authors.forename: Anne-Marie
authors.initials: AM
authors.lastname: Schott
authors.forename: Nicolas
authors.initials: N
authors.lastname: Mitton
authors.forename: Marc
authors.initials: M
authors.lastname: Colonna
authors.forename: Beatrice
authors.initials: B
authors.lastname: Trombert
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis / Q000453:epidemiology*; D016208:Databases, Factual; D005260:Female; D005602:France / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D007345:Insurance Claim Review; D008875:Middle Aged; D012042:Registries; D012680:Sensitivity and Specificity