Untangling National Medicaid Data: 30 Data Quality Metrics to Support Maternal Health Studies in Two Common Data Models

National U.S. Medicaid and Children’s Health Insurance Program (CHIP) data are an amalgamation of up to 53 jurisdictions with both fee-for-service and managed care plans that employ distinct benefits and coverage rules, making a highly heterogeneous data source. During 2014-2016, the U.S. migrated data collection and processing to the Transformed Medicaid Statistical Information System and these data are available for analytic use. Using this data source in pharmacoepidemiology studies can be challenging without extensive data quality assessment on a jurisdiction-year-plan type basis.

This poster developed 30 data quality metrics to characterize jurisdiction-specific data that have been structured in the Sentinel and Observational Medical Outcome Partnership (OMOP) common data models (CDMs). It was presented at the 2024 ISPE Annual Meeting.