Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain
Objectives To develop an algorithm to identify pregnancy episodes in women at childbearing age using SIDIAP (Information System for the Improvement of Research in Primary Care) data (Catalunya, Spain).To describe drugs dispensed during gestation.Design Construction of an algorithm to identify all pr...
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Language: | English |
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BMJ Publishing Group
2023-08-01
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Series: | BMJ Open |
Online Access: | https://bmjopen.bmj.com/content/13/8/e071335.full |
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author | Rosa Morros Ainhoa Gomez-Lumbreras Josep Ramon Marsal Maria Giner-Soriano Cristina Vedia Urgell Marta Lestón Vázquez Carles Vilaplana-Carnerero Oriol Prat-Vallverdu |
author_facet | Rosa Morros Ainhoa Gomez-Lumbreras Josep Ramon Marsal Maria Giner-Soriano Cristina Vedia Urgell Marta Lestón Vázquez Carles Vilaplana-Carnerero Oriol Prat-Vallverdu |
author_sort | Rosa Morros |
collection | DOAJ |
description | Objectives To develop an algorithm to identify pregnancy episodes in women at childbearing age using SIDIAP (Information System for the Improvement of Research in Primary Care) data (Catalunya, Spain).To describe drugs dispensed during gestation.Design Construction of an algorithm to identify all pregnancy episodes occurred from January 2011 to June 2020 in women aged 12–50. The variables used to create the algorithm include first day of last menstrual period, reasons for pregnancy termination and diagnoses registered in the primary healthcare records. Population-based cohort study including the pregnancy episodes identified by the algorithm.Setting Catalonia, Spain.Participants All women aged 12–50 with at least one pregnancy episode occurred during January 2011–June 2020.Interventions No interventions performed.Primary and secondary outcome measures Identification of pregnancy episodes through an algorithm and description of drug exposure.Results We identified 327 865 pregnancy episodes in 250 910 people with a mean age of 31.3 years. During the study period, 83.4% of the episodes were exposed to at least one drug. The most frequent groups dispensed were iron preparations (48% of pregnancy episodes), iodine therapy (40.2%), analgesics and antipyretics (28%), penicillins (19.8%), vitamin B12 plus folic acid (19.7%) and non-steroidal anti-inflammatory drugs (NSAIDs, 15.1%). The supplements were more frequently dispensed at least twice, and the drugs for acute conditions were mainly dispensed only once during the pregnancy episode.Conclusions We developed an algorithm to automatically identify the pregnancy periods in SIDIAP.We described prescription drugs used during pregnancy. The most used ones were supplements, analgesics, NSAID or antibiotics.SIDIAP might be an efficient database to study drug safety during pregnancy and the consequences of drug use in the offspring.Trial registration number EUPAS37675. |
first_indexed | 2024-03-12T13:55:07Z |
format | Article |
id | doaj.art-9274c35067014726800133d3eccc4326 |
institution | Directory Open Access Journal |
issn | 2044-6055 |
language | English |
last_indexed | 2024-03-12T13:55:07Z |
publishDate | 2023-08-01 |
publisher | BMJ Publishing Group |
record_format | Article |
series | BMJ Open |
spelling | doaj.art-9274c35067014726800133d3eccc43262023-08-22T17:55:06ZengBMJ Publishing GroupBMJ Open2044-60552023-08-0113810.1136/bmjopen-2022-071335Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, SpainRosa Morros0Ainhoa Gomez-Lumbreras1Josep Ramon Marsal2Maria Giner-Soriano3Cristina Vedia Urgell4Marta Lestón Vázquez5Carles Vilaplana-Carnerero6Oriol Prat-Vallverdu7Departament de Farmacologia i Terapèutica, Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, Catalonia, Spain3 Medicines Research Unit, Institut Universitari d’Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Catalonia6 Unitat de Suport a la Recerca Lleida, Fundació Institut Universitari per a la Recerca a l`Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), & CIBER of Epidemiology and Public Health (CIBERESP), Lleida, SpainUniversitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), Spain2Universitat Autònoma de Barcelona (UAB), Bellaterra, SpainÀrea del Medicament i Servei de Farmàcia, Gerència d`Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Barcelona, SpainUniversitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), SpainMarketing farmacéutico & Investigación clínica, Barcelona, SpainObjectives To develop an algorithm to identify pregnancy episodes in women at childbearing age using SIDIAP (Information System for the Improvement of Research in Primary Care) data (Catalunya, Spain).To describe drugs dispensed during gestation.Design Construction of an algorithm to identify all pregnancy episodes occurred from January 2011 to June 2020 in women aged 12–50. The variables used to create the algorithm include first day of last menstrual period, reasons for pregnancy termination and diagnoses registered in the primary healthcare records. Population-based cohort study including the pregnancy episodes identified by the algorithm.Setting Catalonia, Spain.Participants All women aged 12–50 with at least one pregnancy episode occurred during January 2011–June 2020.Interventions No interventions performed.Primary and secondary outcome measures Identification of pregnancy episodes through an algorithm and description of drug exposure.Results We identified 327 865 pregnancy episodes in 250 910 people with a mean age of 31.3 years. During the study period, 83.4% of the episodes were exposed to at least one drug. The most frequent groups dispensed were iron preparations (48% of pregnancy episodes), iodine therapy (40.2%), analgesics and antipyretics (28%), penicillins (19.8%), vitamin B12 plus folic acid (19.7%) and non-steroidal anti-inflammatory drugs (NSAIDs, 15.1%). The supplements were more frequently dispensed at least twice, and the drugs for acute conditions were mainly dispensed only once during the pregnancy episode.Conclusions We developed an algorithm to automatically identify the pregnancy periods in SIDIAP.We described prescription drugs used during pregnancy. The most used ones were supplements, analgesics, NSAID or antibiotics.SIDIAP might be an efficient database to study drug safety during pregnancy and the consequences of drug use in the offspring.Trial registration number EUPAS37675.https://bmjopen.bmj.com/content/13/8/e071335.full |
spellingShingle | Rosa Morros Ainhoa Gomez-Lumbreras Josep Ramon Marsal Maria Giner-Soriano Cristina Vedia Urgell Marta Lestón Vázquez Carles Vilaplana-Carnerero Oriol Prat-Vallverdu Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain BMJ Open |
title | Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain |
title_full | Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain |
title_fullStr | Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain |
title_full_unstemmed | Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain |
title_short | Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain |
title_sort | drug exposure during pregnancy in primary care an algorithm and observational study from sidiap database catalunya spain |
url | https://bmjopen.bmj.com/content/13/8/e071335.full |
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