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dc.rights.licenseopenen_US
dc.contributor.authorBLOTIERE, P. O.
dc.contributor.authorWEILL, A.
dc.contributor.authorDALICHAMPT, M.
dc.contributor.authorBILLIONNET, C.
dc.contributor.authorMEZZAROBBA, M.
dc.contributor.authorRAGUIDEAU, F.
dc.contributor.authorDRAY-SPIRA, R.
dc.contributor.authorZUREIK, M.
dc.contributor.authorCOSTE, J.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorALLA, Francois
dc.date.accessioned2020-10-26T10:53:36Z
dc.date.available2020-10-26T10:53:36Z
dc.date.issued2018-07-27
dc.identifier.issn1099-1557en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/11471
dc.description.abstractEnPURPOSE: Access to claims databases provides an opportunity to study medication use and safety during pregnancy. We developed an algorithm to identify pregnancy episodes in the French health care databases and applied it to study antiepileptic drug (AED) use during pregnancy between 2007 and 2014. METHODS: The algorithm searched the French health care databases for discharge diagnoses and medical procedures indicative of completion of a pregnancy. To differentiate claims associated with separate pregnancies, an interval of at least 28 weeks was required between 2 consecutive pregnancies resulting in a birth and 6 weeks for terminations of pregnancy. Pregnancy outcomes were categorized into live births, stillbirths, elective abortions, therapeutic abortions, spontaneous abortions, and ectopic pregnancies. Outcome dates and gestational ages were used to calculate pregnancy start dates. RESULTS: According to our algorithm, live birth was the most common pregnancy outcome (73.9%), followed by elective abortion (17.2%), spontaneous abortion (4.2%), ectopic pregnancy (1.1%), therapeutic abortion (1.0%), and stillbirth (0.4%). These results were globally consistent with French official data. Among 7 559 701 pregnancies starting between 2007 and 2014, corresponding to 4 900 139 women, 6.7 per 1000 pregnancies were exposed to an AED. The number of pregnancies exposed to older AEDs, comprising the most teratogenic AEDs, decreased throughout the study period (-69.4%), while the use of newer AEDs increased (+73.4%). CONCLUSIONS: We have developed an algorithm that allows identification of a large number of pregnancies and all types of pregnancy outcomes. Pregnancy outcome and start dates were accurately identified, and maternal data could be linked to neonatal data.
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subject.enMRISP
dc.title.enDevelopment of an algorithm to identify pregnancy episodes and related outcomes in health care claims databases: An application to antiepileptic drug use in 4.9 million pregnant women in France
dc.title.alternativePharmacoepidemiol Drug Safen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1002/pds.4556en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed29763992en_US
bordeaux.journalPharmacoepidemiology and Drug Safetyen_US
bordeaux.page763-770en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.issue7en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
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