Évaluation du PMSI comme moyen d'identification des cas incidents de cancer colorectal (notice n° 1578519)
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| fixed length control field | 05488cam a2200433 4500500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251228045427.0 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | fre |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Quantin, Catherine |
| Relator term | author |
| 245 00 - TITLE STATEMENT | |
| Title | Évaluation du PMSI comme moyen d'identification des cas incidents de cancer colorectal |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2014.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | 69 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Contexte : pour estimer l’incidence nationale d’un cancer, les registres sont une source fiable de données mais celles-ci ne sont pas toujours disponibles sur tous les territoires. Nous avons voulu évaluer l’intérêt du programme de médicalisation des systèmes d’information (PMSI) pour l’identification des cas incidents de cancers colorectaux. Méthode : afin de retrouver ces cas incidents dans la base PMSI, nous avons élaboré deux algorithmes. Le premier se base sur les codes diagnostiques et actes médicaux, le second uniquement sur les diagnostics et leur absence au cours des cinq dernières années. Les résultats obtenus sur deux départements ont été confrontés à ceux de deux registres, constituant la référence. Nous avons ensuite élaboré deux modèles de régression logistique multi-variée permettant de corriger le nombre de cas incidents estimé au niveau national par l’algorithme retenu après évaluation des résultats. Résultats : le premier algorithme a fourni des résultats très proches de ceux observés au niveau des registres (646 vs 645 cas), avec une bonne sensibilité et valeur prédictive positive de 75 %. Le second surestime l’incidence (≈ 50 %), avec une valeur prédictive positive de 60 % et n’a donc pas été retenu pour l’estimation nationale. En appliquant le premier algorithme à la base nationale du PMSI MCO (médecine, chirurgie, obstétrique), et après modélisation, l’incidence estimée ne diffère que de 2,34 % par rapport à celle observée par l’ensemble de 14 registres. L’estimation au niveau national est de 39 122[37 020 ; 41 224] cas pour l’année 2005 et est cohérente avec celle publiée par le réseau national des registres, Francim (37 413). Conclusion : cette étude montre l’utilité des données PMSI pour l’estimation de l’incidence nationale de certains cancers, en l’absence de registres du cancer. Une correction des résultats bruts reste cependant nécessaire, et la méthode ici proposée permet d’y parvenir. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Evaluation of medical information systems as a mean of identification of incident cases of colorectal cancer Background: Cancer registries are a reliable source of data to estimate national cancer incidence rates, but they are not always available in all regions. This study assessed the value of medical information systems (PMSI) to identify incident cases of colorectal cancer. Methods: Two algorithms were elaborated to identify these incident cases in the PMSI database. The first algorithm was based on diagnosis and medical procedure codes and the second algorithm was based exclusively on diagnoses and the absence of diagnoses over the last five years. The results obtained for two departments were compared with those derived from two cancer registries, constituting the reference data. We then elaborated two multivariate logistic regression models to correct the national number of incident cases estimated by the algorithm adopted after evaluation of the results. Results: The first algorithm provided results that were very close to those derived from the regional registries (646 vs 645 cases) with a good sensitivity and positive predictive value of 75%. The second algorithm overestimated the incidence by about 50% with a positive predictive value of 60% and was therefore not adopted for the national estimation. By applying the first algorithm to the national PMSI MCO database (medicine, surgery, obstetrics), and after modelling, the estimated incidence differed by only 2.34% compared to that observed by all 14 registries. The national estimation of cancer incidence was 39,122 [37,020 ; 41,224] cases for 2005, which is consistent with the figure published by the Francim national registry network (37,413). Conclusion: This study demonstrates the value of PMSI data for estimation of national incidence rates for certain cancers in the absence of cancer registries. However, raw data must be corrected and can be achieved by the method proposed here. |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | couplage des dossiers médicaux |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | incidence |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | recherche en efficacité comparative |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | systèmes informatisés de dossiers médicaux |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | tumeurs colorectales |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | colorectal neoplasms |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | comparative effectiveness research |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | computerized |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | incidence |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | medical record linkage |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | medical records systems |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Benzenine, Éric |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hägi, Mathieu |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Auverlot, Bertrand |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Abrahamowicz, Michal |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cottenet, Jonathan |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Fournier, Évelyne |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Binquet, Christine |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Compain, Delphine |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Monnet, Élisabeth |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bouvier, Anne-Marie |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Danzon, Arlette |
| Relator term | author |
| 786 0# - DATA SOURCE ENTRY | |
| Note | Santé Publique | 26 | 1 | 2014-01-01 | p. 55-63 | 0995-3914 |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://stm.cairn.info/revue-sante-publique-2014-1-page-55?lang=fr&redirect-ssocas=7080">https://stm.cairn.info/revue-sante-publique-2014-1-page-55?lang=fr&redirect-ssocas=7080</a> |
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