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.

Last modified
  • 10/09/2019
Creator
ORCID
  • 0000-0002-7749-7217
Degree
Department
Institution
School
Publisher
Identifier
  • Latour.Emile.2017.pdf
  • 10.6083/m4c53kbm
Keyword
Publication Date
  • 2017
Document type
Citation
  • Latour, E. "Measuring agreement between electronic health records and medicaid claims across race and federal poverty level categories, in the presence of missing data" (2017). OHSU Digital Collections. Latour.Emile.2017.pdf
In Collection:

Items