Feasibility of Linking Area Deprivation Index Data to the OMOP Common Data Model

Abstract

Linking Area Deprivation Index (ADI) scores to observational data offers the opportunity to characterize healthcare treatment and outcomes that are driven by socioeconomic deprivation. The current study aims to assess the feasibility of creating an analysis package to link ADI rankings to multiple patient-level EHR datasets transformed into the OMOP CDM. Patients within two cancer cohorts (breast cancer and multiple myeloma) were identified within two OMOP datasets and their records were linked with ADI scores using address information in the OMOP location table. With ADI linked to patient addresses, we generated visualizations showing the geographic distribution of each cohort based on ADI scores. Additionally, further assessment showed that over 89% of patient addresses could successfully be linked with ADI rankings. In conducting this assessment, we have demonstrated that developing a package to link ADI scores with multiple OMOP datasets is feasible.