A cohort study on physician documentation and the accuracy of administrative data coding to improve passive surveillance of transient ischaemic attacks.

ABSTRACT:

Background

Administrative health data are valuable in health research and disease surveillance, but have low to moderate sensitivity in identifying transient ischaemic attacks (TIA) in the emergency department (ED). We aimed to identify the predictors of coding accuracy for TIA.

Methods

The study population was obtained from two ongoing studies on the diagnosis of TIA, minor stroke and stroke mimic. ED charts were manually reviewed by a stroke neurologist to obtain the clinical diagnosis, patient characteristics and content of physician documentation. Administrative data codes were compared with the chart-adjudicated diagnosis to determine cases of misclassification by administrative data. Univariable regression was used to evaluate candidate predictors of disagreement, and

SUBMITTER: Yu AYX 

PROVIDER: S-EPMC5734423 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature