Validating laboratory defined chronic kidney disease in the electronic health record for patients in primary care.

ABSTRACT:

Background

Electronic health record (EHR) data is increasingly used to identify patients with chronic kidney disease (CKD). EHR queries used to capture CKD status, identify comorbid conditions, measure awareness by providers, and track adherence to guideline-concordant processes of care have not been validated.

Methods

We extracted EHR data for primary-care patients with two eGFRcreat 15-59 mL/min/1.73 m^2 at least 90 days apart. Two nephrologists manually reviewed a random sample of 50 charts to determine CKD status, associated comorbidities, and physician awareness of CKD. We also assessed the documentation of a CKD diagnosis with guideline-driven care.

Results

Complete data were available on 1767 patients with query-defined CKD of whom 822 (47%) had a CKD diagnosis

SUBMITTER: Frigaard M 

PROVIDER: S-EPMC6318865 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature