Costs and mortality associated with HIV: a machine learning analysis of the French national health insurance database.

Background: The objective is to characterise the economic burden to the healthcare system of people living with HIV (PLWHIV) in France and to help decision makers in identifying risk factors associated with high-cost and high mortality profiles.

Design And Methods: The study is a retrospective analysis of PLWHIV identified in the French National Health Insurance database (SNDS). All PLWHIV present in the database in 2013 were identified.

[The opening of the French national health database: Opportunities and difficulties. The experience of the Gazel and Constances cohorts].

Background: In France, the national health database (SNIIRAM) is an administrative health database that collects data on hospitalizations and healthcare consumption for more than 60 million people. Although it does not record behavioral and environmental data, these data have a major interest for epidemiology, surveillance and public health. One of the most interesting uses of SNIIRAM is its linkage with surveys collecting data directly from persons.