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We aimed to evaluate the prescription of medications during pregnancy applying a novel algorithm.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We identified pregnancies in women aged 15 to 49\u00a0years registered in the Database for Pharmacoepidemiological Research in Primary Care (BIFAP) between 2002 and 2015. The algorithm applied sequential cycles that searched in hierarchical order for indicators of conception, delivery or pregnancy loss, and other codes suggestive of pregnancy. Length of pregnancy was assessed by searching for last menstrual period (LMP) date, gestational age, and outcomes of pregnancy. Prescription of specific drugs during the pre\u2010pregnancy period and first trimester and time trends during pregnancy were evaluated.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We identified a total of 155\u00a0419 pregnancies during the study period (77.5% completed pregnancies, 21.5% pregnancies losses, 0.8% ectopic pregnancies, and 0.2% stillbirths). Excluding vitamins and supplements, 43.8% of women received at least one prescription during the pre\u2010pregnancy period and 68.4% during the first trimester. During the first trimester, the most commonly drugs prescribed were analgesics (16.3%) followed by antibiotics (11.8%). From 2002\/2003 to 2014\/2015, there was an increase of prescriptions for thyroid hormones (1.0% vs 4.7%), H2 blockers (1.0% vs 2.2%), and PPIs (1.4% vs 2.2%). While antidepressants (2.0% vs 1.5%) and benzodiazepines (3.1% vs 2.4%) decreased in the last period.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Having in mind the challenges of identifying pregnancies in health care databases, this study demonstrates the usefulness of BIFAP database for studies on drug utilization during pregnancy.<\/jats:p><\/jats:sec>","DOI":"10.1002\/pds.4910","type":"journal-article","created":{"date-parts":[[2019,11,21]],"date-time":"2019-11-21T06:04:38Z","timestamp":1574316278000},"page":"57-68","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["An algorithm to identify pregnancies in BIFAP Primary Care database in Spain: Results from a cohort of 155\u00a0419 pregnancies"],"prefix":"10.1002","volume":"29","author":[{"given":"Sara","family":"Sanchez Ortiz","sequence":"first","affiliation":[{"name":"Department of Preventive Medicine and Public Health, Faculty of Medicine Complutense University of Madrid  Madrid Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana","family":"Llorente Garc\u00eda","sequence":"additional","affiliation":[{"name":"BIFAP, Division of Pharmacoepidemiology and Pharmacovigilance Spanish Agency for Medicines and Medical Devices (AEMPS)  Madrid Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paloma","family":"Astasio","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine and Public Health, Faculty of Medicine Complutense University of Madrid  Madrid Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Consuelo","family":"Huerta","sequence":"additional","affiliation":[{"name":"BIFAP, Division of Pharmacoepidemiology and Pharmacovigilance Spanish Agency for Medicines and Medical Devices (AEMPS)  Madrid Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7051-0730","authenticated-orcid":false,"given":"Luc\u00eda","family":"Cea Soriano","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine and Public Health, Faculty of Medicine Complutense University of Madrid  Madrid Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,11,20]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.1862"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.1269"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1475-6773.2006.00635.x"},{"key":"e_1_2_12_5_1","doi-asserted-by":"crossref","unstructured":"NalewayAL GoldR KuroskyS RiedlingerK HenningerML NordinJD KharbandaEO IrvingS CheethamTC McCarthyNL.Identifying pregnancy episodes outcomes and mother\u2010infant pairs in the Vaccine Safety Datalink. 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