Observational studyBMJ open2023
Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain.
Observational study in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Identifying Pregnancies in Population-Based Data Sources: Development and Application of the ConcePTION Pregnancy Algorithm.Pharmacoepidemiology and drug safety · 2026Article
- Opioid analgesic use during pregnancy: a drug utilization cohort study in Catalonia.Frontiers in pharmacology · 2026Article
- Drug exposure during breastfeeding: a descriptive population-based cohort study with SIDIAP database.International breastfeeding journal · 2025Article
- Real-World Data Insights into Antidepressant Prescription and Adherence During Pregnancy in Catalonia (Spain).Drug safety · 2025Observational
- A population-based cohort to evaluate drug safety during pregnancy (PREGVAL): rationale, design, and baseline characteristics.European journal of epidemiology · 2025Article
- Women's health in focus: Real-world data on valproate prescriptions during pregnancy - a cohort study in Catalonia (Spain).BMJ open · 2024Article
- The Importance and Essentiality of Natural and Synthetic Chelators in Medicine: Increased Prospects for the Effective Treatment of Iron Overload and Iron Deficiency.International journal of molecular sciences · 2024Review
- Treatment of hypertension during pregnancy: a cohort of pregnancy episodes from the SIDIAP database, Catalonia, Spain.Frontiers in pharmacology · 2024Article
- Drug Exposure During Pregnancy: A Case-Control Study from a Primary Care Database.Women's health reports (New Rochelle, N.Y.) · 2024Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo 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.
designConstruction 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.
settingCatalonia, Spain.
participantsAll women aged 12-50 with at least one pregnancy episode occurred during January 2011-June 2020.
interventionsNo interventions performed. PRIMARY AND SECONDARY OUTCOME MEASURES: Identification of pregnancy episodes through an algorithm and description of drug exposure.
resultsWe 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 B
conclusionsWe 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.
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