Ontology highlight
ABSTRACT: Objective
To investigate magnitude and sources of discrepancy in quality metrics using claims versus electronic health record (EHR) data.Study design
Assessment of proportions of HbA1c and LDL testing for people ascertained as diabetic from the respective sources. Qualitative interviews and review of EHRs of discrepant cases.Data collection/extraction
Claims submitted to Rhode Island Medicaid by three practice sites in 2013; program-coded EHR extraction; manual review of selected EHRs.Principal findings
Of 21,030 adult Medicaid beneficiaries attributed to a primary care patient at a site by claims or EHR data, concordance on assignment ranged from 0.30 to 0.41. Of patients with concordant assignment, the ratio of patients ascertained as diabetic by EHR versu
SUBMITTER: Laws MB
PROVIDER: S-EPMC6056571 | biostudies-literature | 2018 Aug
REPOSITORIES: biostudies-literature