title: Estimation of breast, prostate, and colorectal cancer incidence using a French administrative database (general sample of health insurance beneficiaries).
abstract: OBJECTIVE
  The aim of this study was to compare incidence of breast, prostate, and colorectal cancer incidence estimated from a French administrative database with the incidences estimated from the cancer registry data.
  
  
  METHODS
  A cohort of 426,410 people included in the general sample of health insurance beneficiaries (EGB) database as of January 1, 2007, was constituted. Several algorithms were developed to estimate cancer incidence between 2008 and 2012 using principal diagnosis (PD) of hospital discharge data (medical information systems program [PMSI]) and/or long-term disease (LTD) and together with a procedure necessary for histological diagnosis and indicating initial disease management. The incidence rates obtained were compared with those from the registry data using the standardized incidence ratio (SIR).
  
  
  RESULTS
  The algorithm taking into account LTD and PD in the PMSI and the mandatory presence of a marker procedure provided estimates close to those from the registry data for breast cancer (SIR: 1.12 [1.07-1.18]) and colorectal cancer (SIR: 0.94 [0.88-1.02] in men and SIR: 0.93 [0.86-1.01] in women). For prostate cancer, taking into account specific procedures and drugs in addition to LTD and PD in the PMSI enhanced the estimation of incidence (SIR: 1.03 [0.98-1.08]).
  
  
  CONCLUSIONS
  The PMSI together with reimbursement data (LTD, procedures, drugs) provided estimates of breast, prostate, and colorectal cancer incidence, at a national level, comparable to those from the cancer registry data.
authors.affiliation: Inserm, center for research in epidemiology and population health (CESP), U1018, gene, environment cancer epidemiology team, 94807 Villejuif cedex, France; UMRS 1018, Paris-Sud University, 94807 Villejuif cedex, France; Hepato-gastroenterology department, unit of gastrointestinal tumor screening and treatment, Pitié-Salpêtrière hospital, Paris Public Hospital Authority (AP-HP), 75013 Paris, France.
authors.forename: S
authors.initials: S
authors.lastname: Doat
authors.affiliation: National Health Insurance Organization for Salaried Workers (CNAM), 75986 Paris cedex 20, France.
authors.forename: S
authors.initials: S
authors.lastname: Samson
authors.affiliation: National Health Insurance Organization for Salaried Workers (CNAM), 75986 Paris cedex 20, France.
authors.forename: A
authors.initials: A
authors.lastname: Fagot-Campagna
authors.affiliation: National Health Insurance Organization for Salaried Workers (CNAM), 75986 Paris cedex 20, France.
authors.forename: P
authors.initials: P
authors.lastname: Tuppin
authors.affiliation: Inserm, center for research in epidemiology and population health (CESP), U1018, gene, environment cancer epidemiology team, 94807 Villejuif cedex, France; UMRS 1018, Paris-Sud University, 94807 Villejuif cedex, France. Electronic address: florence.menegaux@inserm.fr.
authors.forename: F
authors.initials: F
authors.lastname: Menegaux
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000453:epidemiology*; D015179:Colorectal Neoplasms / Q000453:epidemiology*; D016208:Databases, Factual / Q000706:statistics & numerical data*; D005260:Female; D005602:France / Q000453:epidemiology; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D015994:Incidence; D007342:Insurance Benefits / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D011471:Prostatic Neoplasms / Q000453:epidemiology*; D012042:Registries / Q000706:statistics & numerical data
keywords: Algorithmes; Algorithms; Bases de données médico-administratives; Cancer; Incidence; Medico-administrative databases