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Pharmacoepidemiological research using French reimbursement databases: yes we can!
Karin Martin-Latry1, Bernard Bégaud
1Département de Pharmacologie, Université Victor Segalen Bordeaux 2, 33076 Bordeaux, France. karin.latry@u-bordeaux2.fr
Pharmacoepidemiology and Drug Safety
|February 4, 2010
Summary
French healthcare reimbursement databases are valuable for pharmacoepidemiological research, offering insights into drug use patterns. These anonymized datasets cover nearly the entire population and have been widely utilized in numerous studies.
Area of Science:
- Health Services Research
- Pharmacoepidemiology
- Public Health
Background:
- France operates a universal, publicly funded healthcare system.
- Three primary insurance schemes manage health services, each maintaining its own reimbursement database.
- These databases collectively cover approximately 97% of the French population, totaling over 61 million individuals.
Purpose of the Study:
- To detail the available French reimbursement databases for pharmacoepidemiological research.
- To explore the utilization of these databases in scientific studies.
Main Methods:
- Systematic literature search of PubMed and Scopus for studies published between January 1988 and June 2009.
- Analysis of data content, including patient demographics, prescribers, medical procedures, prescriptions, laboratory tests (excluding results), hospital data, and vital status.
- Inclusion of 110 published studies meeting the search criteria.
Main Results:
- A wide range of pharmacoepidemiological topics were investigated using these databases.
- Studies focused on drug utilization patterns, intervention effectiveness, prescribing practices, adherence to health guidelines, and economic evaluations.
- A significant increase in publications utilizing these databases was observed between 2002 and 2003.
Conclusions:
- French reimbursement databases have been extensively used for pharmacoepidemiological research over the past two decades.
- These databases provide valuable information on drug exposure and utilization patterns.
- Researchers must acknowledge and consider the inherent limitations of these datasets when conducting studies.
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