ArticlePharmacoepidemiology and drug safety2025
Expanding the OMOP Common Data Model to Support Perinatal Research in Network Studies.
Article in Pharmacoepidemiology and drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Enabling evidence generation for extremely preterm neonates: the use of neonatal real-world data.Pediatric research · 2026Review
- The EUROmediCAT Network and Databases: A Resource for Pharmacovigilance in Pregnancy.Pharmacoepidemiology and drug safety · 2026Article
- An OMOP Common Data Model pipeline for electrocardiography dataset integration by standardizing signal metadata and heart rate variability features.Frontiers in bioinformatics · 2026Article
- Transforming neonatal care through informatics: A review of artificial intelligence, data, and implementation considerations.Seminars in perinatology · 2025Review
- Development and implementation of an entity relationship diagram for perinatal data.JAMIA open · 2025Article
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Authors and funding
12 authors.
Funding
Abstract
objectivesThe Observational Medical Outcomes Partnership common data model (OMOP-CDM) is a useful tool for large-scale network analysis but currently lacks a structured approach to pregnancy episodes. We aimed to develop and implement a perinatal expansion for the OMOP-CDM to facilitate perinatal network research.
methodsWe collaboratively developed a perinatal expansion with input from domain experts and stakeholders to reach consensus. The structure and vocabularies followed the OMOP-CDM ontological framework principles. We tested the expansion using SIDIAP and Norwegian databases. We developed a diagnostics package for quality control assessment and conducted a descriptive analysis on the captured perinatal data mapped to the OMOP-CDM.
resultsThe perinatal expansion consists of a pregnancy table and an infant table, each with required and optional variables incorporated into standardized vocabularies. Quality assessment of the perinatal expansion table in SIDIAP and Norwegian databases demonstrated accurate capture of perinatal characteristics. Descriptive analysis measured the number of pregnancies (SIDIAP: 646 530; Norway: 746 671), pregnancy outcomes (e.g., 0.5% stillbirths in SIDIAP and 0.4% in Norway), gestational length (median [IQR] in days, SIDIAP: 273 [56-280]; Norway: 280 [273-286]), number of infants (Norway: 758 806), and birth weight (median [IQR] in grams, Norway: 3520 [3175-3860)], among other relevant variables. DISCUSSION AND
conclusionWe developed and implemented a perinatal expansion that captures important variables for perinatal research and allows interoperability with existing tables in the OMOP-CDM, which is expected to facilitate future network studies. The publicly available diagnostics package enables testing the implementation of the extension table and the quality and completeness of available data on pregnancy and pregnancy-related outcomes in databases mapped to the OMOP CDM.
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