Measuring agreement between electronic health records and medicaid claims across race and federal poverty level categories, in the presence of missing data Public Deposited
Our objective is to apply multiple imputation methods with statistics of agreement and electronic health records (EHR). These methods used together with this type of data is not well documented. By applying these methods in a novel way, we examine their potential for future use. As a secondary objective, we assess for discrepancies in screening documentation between EHR and Medicaid claims data, across Race and Federal Poverty Level (FPL) categories which may reveal possible issues with data collection that would need to be addressed.