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

Area of Science:

• Health Informatics
• Perinatal Epidemiology
• Data Standardization

Background:

• The Observational Medical Outcomes Partnership common data model (OMOP-CDM) is widely used for large-scale health data analysis.
• Current OMOP-CDM lacks a standardized structure for representing pregnancy episodes, hindering perinatal network research.

Purpose of the Study:

• To develop and implement a perinatal expansion for the OMOP-CDM.
• To facilitate standardized data capture and analysis for perinatal network studies.

Main Methods:

• Collaborative development involving domain experts and stakeholders.
• Adherence to OMOP-CDM ontological framework principles for structure and vocabularies.
• Implementation and testing in SIDIAP and Norwegian databases with a quality control diagnostics package.

Main Results:

• A perinatal expansion including pregnancy and infant tables with standardized vocabularies was created.
• Quality assessment confirmed accurate capture of perinatal characteristics in tested databases.
• Descriptive analysis provided key metrics on pregnancies, outcomes, gestational length, and birth weight.

Conclusions:

• The developed perinatal expansion enhances OMOP-CDM for perinatal research, enabling interoperability and facilitating network studies.
• A publicly available diagnostics package aids in implementation testing and data quality assessment.
• This expansion is expected to advance research on pregnancy and related outcomes.