Development 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-Reference-Cited by-同舟云学术

Development 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

Published:2018-05-15 Issue:7 Volume:27 Page:763-770
ISSN:1053-8569
Container-title:Pharmacoepidemiology and Drug Safety
language:en
Short-container-title:Pharmacoepidemiol Drug Saf

Author:

Blotière Pierre-Olivier¹²^ORCID,Weill Alain¹^ORCID,Dalichampt Marie¹,Billionnet Cécile¹,Mezzarobba Myriam¹,Raguideau Fanny³,Dray-Spira Rosemary³,Zureik Mahmoud³,Coste Joël¹,Alla François²⁴

Affiliation:

1. Department of Studies in Public Health; French National Health Insurance (CNAMTS); Paris France

2. Université de Lorraine; université Paris-Descartes; Apemac EA 4360 Nancy France

3. Department of Epidemiology of Health Products; The French National Agency for Medicines and Health Products Safety; Saint-Denis France

4. Université Bordeaux et CHU Bordeaux; CIC-EC 1401 Inserm U1219 Bordeaux France

Publisher

Wiley

Subject

Pharmacology (medical),Epidemiology

Reference38 articles.

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2. The identification of pregnancies within the general practice research database;Devine;Pharmacoepidemiol Drug Saf,2010

3. Strategies for identifying pregnancies in the automated medical records of the general practice research database;Hardy;Pharmacoepidemiol Drug Saf,2004

4. Development of an algorithm to identify pregnancy episodes in an integrated health care delivery system;Hornbrook;Health Serv Res,2007

5. An enhanced method for identifying obstetric deliveries: implications for estimating maternal morbidity;Kuklina;Matern Child Health J,2008

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