title: [Comparison of different methods for the definition of indicators to assess the diagnostic and therapeutic paths of colorectal cancer].
abstract: OBJECTIVE
  to assess the accuracy of hospital admissions (through hospital discharge records - SDO) in the estimation of incident cases of colorectal cancer, extracted from the cancer registry (CR) of the Local Health Unit "Milano1" and to investigate whether specific indicators to assess the diagnostic-therapeutic paths of this tumour are influenced by the data source.
  
  
  METHODS
  observational cross-sectional study.
  
  
  METHODS
  incident cases for the period 2007-2009 of colorectal cancer by CR and application of an algorithm to the SDO to identify the same patients.
  
  
  METHODS
  sensitivity and positive predictive value of SDO data. Indicators to evaluate the diagnostic and therapeutic paths of patients with colorectal cancer and assessment of the level of concordance indicator in SDO and CR databases. Each indicator was related to the volume of specific interventions for colorectal cancer.
  
  
  RESULTS
  SDO database showed 2,246 cases, while from RT 2,335 subjects with the colorectal cancer resulted. The sensitivity of the SDO was 90.2%, with 15% of discordant cases. The group identified exclusively by CR had lower survival. The indicators surgery had the lowest levels of correlation (0.64 to 0.69) but the highest level of appropriateness (90%), while the indicators for diagnosis and follow-up showed greater correlation but lower values.
  
  
  CONCLUSIONS
  for some indicators, using the SDO when the CR is not available is useful, considering the volume of specific interventions for colorectal cancer. For indicators where tumour stage is important, the CR is the best data source available.
authors: Unità di statistica medica e biometria "GA Maccacaro", Università degli Studi di Milano. Osservatorio epidemiologico e registri specializzati, ASL Milano 1. maria.teresa.greco@alsmi1.mi.it.
authors: Maria Teresa
authors: MT
authors: Greco
authors: Antonio
authors: A
authors: Russo
mesh_terms: D000465:Algorithms; D015179:Colorectal Neoplasms / Q000175:diagnosis* / Q000628:therapy*; D003430:Cross-Sectional Studies; D016208:Databases, Factual; D006753:Hospital Records; D006801:Humans; D012042:Registries