2017
DOI: 10.1016/j.respe.2017.05.004
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Value of a national administrative database to guide public decisions: From the système national d’information interrégimes de l’Assurance Maladie (SNIIRAM) to the système national des données de santé (SNDS) in France

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Cited by 605 publications
(555 citation statements)
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References 41 publications
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“…This study presents 2 main limitations. First of all, although health care claims data can be exhaustive, readily available, and reasonably inexpensive, making them attractive for large‐scale studies, they are not designed for research purposes, unlike registries or, more generally, ad hoc prospectively collected databases, and can be susceptible to misclassification . In our study, the proposed algorithm was based on ICD‐10 diagnosis codes and medical procedure codes that may be subject to coding errors, and data from medical records could not be used to validate pregnancy outcomes.…”
Section: Discussionmentioning
confidence: 99%
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“…This study presents 2 main limitations. First of all, although health care claims data can be exhaustive, readily available, and reasonably inexpensive, making them attractive for large‐scale studies, they are not designed for research purposes, unlike registries or, more generally, ad hoc prospectively collected databases, and can be susceptible to misclassification . In our study, the proposed algorithm was based on ICD‐10 diagnosis codes and medical procedure codes that may be subject to coding errors, and data from medical records could not be used to validate pregnancy outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…This study was conducted using the French national health insurance information system (SNIIRAM), which consists of 2 French nationwide datasets linked by a unique patient identifier: the French national health insurance database (DCIR) and the French hospital discharge database (PMSI). French national health insurance covers the entire French population and is divided into several specific schemes, including the general scheme for salaried workers (87% of the population), the self‐employed workers scheme (6%), the farmers scheme (5%), and other additional schemes covering the remaining 2% …”
Section: Methodsmentioning
confidence: 99%
“…This study was conducted using the SNDS (Système National des Données de Santé) French nationwide health administrative database . This database covers more than 99% of the French population (around 65 000 000 people).…”
Section: Methodsmentioning
confidence: 99%
“…In France, the SNDS compiles data from the French National Health Insurance System (including the national hospital‐discharge summaries database system—PMSI) . Information on health care reimbursement, ambulatory, and hospital expenditures data, as well as sociodemographics including age, gender, French administrative area of residence, advantage of the Complementary Universal Health Coverage (CMU‐C, an individual measure of low socioeconomic position [SEP]), and long‐term chronic disease status allowing for full medical reimbursement, is available in the SNDS.…”
Section: Methodsmentioning
confidence: 99%