Temporal trends in the accuracy of hospital diagnostic coding for identifying acute stroke: A population-based study.

ABSTRACT:

Introduction

Administrative hospital diagnostic coding data are increasingly being used in identifying incident and prevalent stroke cases, for outcome audit and for 'big data' research. Validity of administrative coding has varied in previous studies, but little is known about the temporal trends of coding accuracy, which could bias analyses.

Patients and methods

Using all incident and recurrent strokes in a population-based cohort (Oxford Vascular Study/OXVASC) with multiple sources of ascertainment as the reference, we determined the temporal trends in sensitivity and positive predictive value of hospital diagnostic codes for identifying acute stroke from 2002 to 2017.

Results

Of 1883 hospitalised strokes, 1341 (71.2%) were correctly identified by coding. Sensitivi

SUBMITTER: Li L 

PROVIDER: S-EPMC7092737 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature