Dataset Information

Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain.

ABSTRACT:

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.

SUBMITTER: Leston Vazquez M

PROVIDER: S-EPMC10445402 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain.

Lestón Vázquez Marta M Vilaplana-Carnerero Carles C Gomez-Lumbreras Ainhoa A Prat-Vallverdu Oriol O Marsal Josep Ramon JR Vedia Urgell Cristina C Giner-Soriano Maria M Morros Rosa R

BMJ open 20230822 8

<h4>Objectives</h4>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.<h4>Design</h4>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 pregnan ...[more]

PMID: 37607789

Similar Datasets

Project description:ObjectiveDrug exposure during pregnancy is frequent, even more during first trimester as pregnant women might not be aware of their condition. We used available electronic health records (EHRs) to describe the use of medications during the first trimester in pregnant women and to compare drug exposure between those women who had an abortion (either elective or spontaneous) compared to those who had live births.Materials and methodsCase-control study of abortions, either elective or spontaneous (cases), and live birth pregnancies (controls) in Sistema d'Informació per al Desenvolupament de la Investigació en Atenció Primària (Catalan Primary Health electronic health records) from 2012 to 2020. Exposure to drugs during first trimester of pregnancy was considered to estimate the association with abortion by conditional logistic regression and adjusted by health conditions and other drugs exposure.ResultsSixty thousand three hundred fifty episodes of abortions were matched to 118,085 live birth pregnancy episodes. Cases had higher rates of alcohol intake (9.9% vs. 7.2%, p < 0.001), smoking (4.5% vs. 3.6%, p < 0.001), and previous abortions (9.9% vs. 7.8%, p < 0.001). Anxiety (30.3% and 25.1%, p < 0.001), respiratory diseases (10.6% and 9.2%, p < 0.001), and migraine (8.2% and 7.3%, p < 0.001), for cases and controls, respectively, were the most frequent baseline conditions. Cases had lower rate of drug exposure, 40,148 (66.5%) versus 80,449 (68.1%), p < 0.001. Association with abortion was found for systemic antihistamines (adjusted odds ratio [ORadj] 1.23, 95% confidence interval [CI] 1.19-1.27), antidepressants (ORadj 1.11, 95% CI 1.06-1.17), anxiolytics (ORadj 1.31, 95% CI 1.26-1.73), and nonsteroidal anti-inflammatory drugs (ORadj 1. 63, 95% CI 1.59-1.67).ConclusionsThese high rates of drug exposures during the first trimester of pregnancy highlights the relevance of informed prescription to women with childbearing potential.

Dataset Information

Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain.

Objectives

Design

Setting

Participants

Interventions

Primary and secondary outcome measures

Results

Conclusions

Trial registration number

Publications

Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain.

Similar Datasets

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