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


Journal

Revue d'epidemiologie et de sante publique
ISSN: 0398-7620
Titre abrégé: Rev Epidemiol Sante Publique
Pays: France
ID NLM: 7608039

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 15 05 2018
revised: 01 04 2019
accepted: 05 04 2019
pubmed: 31 5 2019
medline: 16 1 2020
entrez: 1 6 2019
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 31146902
pii: S0398-7620(19)30405-5
doi: 10.1016/j.respe.2019.04.053
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

239-245

Informations de copyright

Copyright © 2019 Elsevier Masson SAS. All rights reserved.

Auteurs

S D Plouvier (SD)

Registre général des cancers de Lille et de sa région, C2RC, boulevard du Professeur-J.-Leclercq, 59000 Lille, France. Electronic address: splouvier@registrecancers59.fr.

P Bernillon (P)

Santé publique France 12, rue du Val-d'Osne, 94415 Saint-Maurice, France. Electronic address: Pascale.Bernillon@santepubliquefrance.fr.

K Ligier (K)

Registre général des cancers de Lille et de sa région, C2RC, boulevard du Professeur-J.-Leclercq, 59000 Lille, France. Electronic address: kligier@registrecancers59.fr.

D Theis (D)

Département d'information médicale,CHR&U, 2, avenue Oscar-Lambret, 59000 Lille, France. Electronic address: Didier.Theis@chru-lille.fr.

P-H Miquel (PH)

Ramsay générale de santé, hôpital privé La Louvière, 69, rue de la Louvière, 59000 Lille, France. Electronic address: p.miquel@ramsaygds.fr.

D Pasquier (D)

Academic Radiation Oncology Department, centre Oscar Lambret, Lille University, 3, rue Frédéric-Combemale, 59000 Lille, France; CRISTAL, UMR CNRS 9189, 59000 Lille, France. Electronic address: d-pasquier@o-lambret.fr.

L-P Rivest (LP)

Department of mathematics and statistics, université Laval, 2325, rue de l'Université, Québec, Quebec, Canada. Electronic address: Louis-Paul.Rivest@mat.ulaval.ca.

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