Affiliations: CHRU Dijon, Service de Biostatistique et
d'Informatique Médicale (DIM), Dijon, F-21000, France | Inserm, U866, Dijon, F-21000, France; Univ de
Bourgogne, Dijon, F-21000, France | Registre des tumeurs EA 3181, Univ Franche-Comté,
Besançon F-25000 | Registre des cancers gynécologiques de Côte
d'Or, Centre Georges-François Leclerc, Dijon, F-21000, France | EA 4184, Université de Bourgogne, Dijon, F-21000,
France | Service d'hépatologie et de soins intensifs
digestifs, hôpital Jean-Minjoz, Besançon, F-25000, France
Note: [] Address for correspondence: Professeur Catherine Quantin,
Service de Biostatistique et Informatique Médicale, Centre Hospitalier
Universitaire, BP 77908, 21079 Dijon Cedex, France. Tel.: +33 3 80 29 36 29;
Fax: +33 3 80 29 39 73; E-mail: catherine.quantin@chu-dijon.fr
Abstract: Context and objective: In France, national estimates of the
incidence of cancers are based on mortality data by extrapolating the ratio
between observed incidence and mortality in areas covered by cancer registries.
The objective of this study is to determine the interest of using the discharge
abstracts database gathered in hospitals to estimate breast cancer incidence in
two French departments: Côte d'Or and Doubs. Methods: This study concerns the incident breast cancer cases identified in 2004 and 2005 through
Côte d'Or and Doubs cancer registries and potential incident breast cancer
cases selected through two algorithms in the Medical Information System Program
(PMSI – Programme de Médicalisation des Systèmes d'Information)
databases. The value of these algorithms was evaluated by probabilistic linkage
between data from the anonymous registry and from the PMSI. Results: The first algorithm provides an estimated incidence close to those given by
registries, and has a good sensitivity and positive predictive value; the
second algorithm overestimates the incidence by about 100%, and has a poor
positive predictive value. Conclusion: This study shows the usefulness of
the PMSI databases and underlines the interest and difficulties of using these
data to estimate cancer incidence. The PMSI database cannot be used as a unique
source to estimate breast cancer incidence.
Keywords: Breast cancer, cancer incidence, discharge abstract, sensitivity, positive predictive value, claims databases
