Expanding the OMOP Common Data Model to Support Perinatal Research in Network Studies

ABSTRACT Objectives The 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 pe...

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Vydané v:Pharmacoepidemiology and drug safety Ročník 34; číslo 2; s. e70106 - n/a
Hlavní autori: Abellan, Alicia, Burn, Edward, Trinh, Nhung T. H., Burkard, Theresa, Callahan, Alison, Fernández‐Bertolín, Sergio, Hurley, Eimir, Rodriguez, Clara, Segundo, Elena, Morales, Daniel R., M. E. Nordeng, Hedvig, Duarte‐Salles, Talita
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Chichester, UK John Wiley & Sons, Inc 01.02.2025
Wiley Subscription Services, Inc
Predmet:
Biomedical Research
Birth weight
Common Data Elements
common data model
Computer programs
Data models
Databases, Factual - standards
Databases, Factual - statistics & numerical data
Female
Humans
Infant, Newborn
Infants
medical ontologies
Norway - epidemiology
OMOP
Original
Perinatal Care
perinatal epidemiology
Pregnancy
Pregnancy Outcome - epidemiology
Quality control
Norway
common data model
perinatal epidemiology
OMOP
medical ontologies
pregnancy
ISSN:1053-8569, 1099-1557, 1099-1557
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Shrnutí:ABSTRACT Objectives The 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. Methods We 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. Results The 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 Conclusion We 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.
Bibliografia:Funding
This project has received support from the European Health Data and Evidence Network (EHDEN) project. EHDEN received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 806968. The JU receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA. The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript. Norwegian registry data were harmonized into OMOP‐CDM supported by a European Health Data & Evidence Network (EHDEN) project grant.
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Funding: This project has received support from the European Health Data and Evidence Network (EHDEN) project. EHDEN received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 806968. The JU receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA. The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript. Norwegian registry data were harmonized into OMOP‐CDM supported by a European Health Data & Evidence Network (EHDEN) project grant.
ISSN:1053-8569
1099-1557
1099-1557
DOI:10.1002/pds.70106