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May 24, 2017Pharmacoepidemiology and Drug Safety570 citations

The national healthcare system claims databases in France, SNIIRAM and EGB: Powerful tools for pharmacoepidemiology

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JBJulien BezinMDMai DuongRLR. Lassalle

Key Points

  • To describe the structure, contents, strengths, and limitations of the French national healthcare claims databases, SNIIRAM and EGB, for pharmacoepidemiological research.
  • Evaluated the structure and linkages of the nationwide SNIIRAM database, which integrates national health insurance claims, hospital-discharge summaries (PMSI), and death registry records.
  • Assessed data attributes and accessibility for EGB, a permanent 1/97th random representative longitudinal sample of the SNIIRAM database.
  • SNIIRAM encompasses 98.8% of the French population (over 66 million persons) continuously from birth to death, capturing outpatient visits, dispensed medications, procedures, and hospital stays with ICD-10 diagnostic codes.
  • EGB offers expedited access (1 to 3 months) to longitudinal records for 780,000 subjects, providing sufficient power for common drug exposures but limited utility for rare adverse outcomes or newly introduced products.

Abstract

Abstract The French health care system is based on universal coverage by one of several health care insurance plans. The SNIIRAM database merges anonymous information of reimbursed claims from all these plans, linked to the national hospital‐discharge summaries database system (PMSI) and the national death registry. It now covers 98.8% of the French population, over 66 million persons, from birth (or immigration) to death (or emigration), making it possibly the world's largest continuous homogeneous claims database. The database includes demographic data; health care encounters such as physician or paramedical visits, medicines, medical devices, and lab tests (without results); chronic medical conditions (ICD10 codes); hospitalisations with ICD10 codes for primary, linked and associated diagnoses, date and duration, procedures, diagnostic‐related groups, and cost coding; date but currently not cause of death. The power of the database is correlatively great, and its representativeness is near perfect, since it essentially includes the whole country's population. The main difficulty in using the database, beyond its sheer size and complexity, is the administrative process necessary to access it. Recent legislative advances are making this easier. EGB ( Echantillon Généraliste de Bénéficiaires ) is the 1/97th random permanent representative sample of SNIIRAM, with planned 20‐year longitudinal data (10 years at this time). Access time is 1 to 3 months, but its power is less (780 000 subjects). This is enough to study common issues with older drugs but may be limited for new products or rare events.

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Cite This Study

Bezin et al. (2017) studied this question.

synapsesocial.com/papers/696910e587f73b5c2af0cee3https://doi.org/10.1002/pds.4233
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