Completeness of a newly implemented general cancer registry in northern France: Application of a three-source capture-recapture method

Rev Epidemiol Sante Publique. 2019 Jul;67(4):239-245. doi: 10.1016/j.respe.2019.04.053. Epub 2019 May 28.

Abstract

Background: Completeness, timeliness and accuracy are important qualities for registries. The objective was to estimate the completeness of the first two years of full registration (2008/2009) of a new population-based general cancer registry, at the time of national data centralisation.

Methods: Records followed international standards. Numbers of cases missed were estimated from a three-source (pathology labs, healthcare centres, health insurance services) capture-recapture method, using log-linear models for each gender. Age and place of residence were considered as potential variables of heterogeneous catchability.

Results: When data were centralized (2011/2012), 4446 cases in men and 3642 in women were recorded for 2008/2009 in the Registry. Overall completeness was estimated at 95.7% (95% CI: 94.3-97.2) for cases in men and 94.8% (95% CI: 92.6-97.0) in women. Completeness appeared higher for younger than for older subjects, with a significant difference of 4.1% (95% CI: 1.4-6.7) for men younger than 65 compared with their older counterparts. Estimates were collated with the number of cases registered in 2014 for the years 2008/2009 (4566 cases for men/3755 for women), when additional structures had notified cases retrospectively to the Registry. These numbers were consistent with the stratified capture-recapture estimates.

Conclusion: This method appeared useful to estimate the completeness quantitatively. Despite a rather good completeness for the new Registry, the search for cases among older subjects must be improved.

Keywords: Age; Capture-Recapture; Completeness; Exhaustivité; Registre; Registry; Âge.

MeSH terms

  • Adult
  • Age Factors
  • Age of Onset
  • Aged
  • Aged, 80 and over
  • Data Accuracy*
  • Data Collection* / methods
  • Data Collection* / standards
  • Death Certificates
  • Female
  • France / epidemiology
  • Humans
  • Male
  • Middle Aged
  • Neoplasms / epidemiology*
  • Population Surveillance / methods
  • Records / standards
  • Records / statistics & numerical data
  • Registries / standards*
  • Registries / statistics & numerical data
  • Retrospective Studies