2015
DOI: 10.1016/j.revmed.2014.11.009
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French health insurance databases: What interest for medical research?

Abstract: French health insurance databases are organized since 2003 into a huge digital data warehouse, the Système national d'information inter-régime de l'assurance maladie (SNIIR-AM). It covers the entire French population (65 million inhabitants). In order to facilitate studies on more frequent conditions, a random sample of 1/97th of national health system beneficiaries has been built since 2005, called the échantillon généraliste des bénéficiaires (EGB). The aim of this article is to describe the main characteris… Show more

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Cited by 291 publications
(281 citation statements)
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“…An SNIIR-AM dictionary is available for users of the health insurance databases. However, training in the complex architecture of these databases has been mandatory since 2013 [43] .…”
Section: Limitationsmentioning
confidence: 99%
“…An SNIIR-AM dictionary is available for users of the health insurance databases. However, training in the complex architecture of these databases has been mandatory since 2013 [43] .…”
Section: Limitationsmentioning
confidence: 99%
“…These health databases can be linked by means of a unique anonymous number allocated to each individual, providing detailed information on real-life management of 99% of the population living in France (around 65,000,000 people) [10,11].…”
Section: Data Sourcementioning
confidence: 99%
“…Among these indices, the Charlson index 2 was recommended to measure comorbidity when mortality is the outcome of interest. The Charlson comorbidity index is the most extensively studied and most widely used comorbidity index in the medical literature (10,398 citations in articles or reviews on the Scopus database on April 17, 2014). The widespread use of this index could be explained by the fact that it is not designed for patients with a specific disease.…”
mentioning
confidence: 99%