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December 3, 2022Military Medicine3 citationsOpen Access

Illustration of Continuous Enrollment and Beneficiary Categorization in DoD and VA Infrastructure for Clinical Intelligence

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VPVeronika PavJohns Hopkins UniversityABAndrew BurnsInterventional CardiologyCCCourtney Colahan

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Abstract

DaVINCI has successfully combined DoD and VA data and utilized OMOP CDM to standardize health care concepts. However, to fully maximize the potential of DaVINCI's DoD and VA OMOP databases, researchers must uniquely categorize the DaVINCI cohort and build longitudinal patient records across DoD and VA. Because of the low other health insurance rates among DoD enrollees and their choice to enroll to a DoD Primary Care Manager, we believe this population to be the least censored in the DoD. Applying a similar concept through VA's priority groups (1-5) would enable researchers to follow ADSMs as they transition from the military.

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Pav et al. (2022) studied this question.

synapsesocial.com/papers/69d77e22b1cb92dd1bb8b61dhttps://doi.org/10.1093/milmed/usac352
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