Journal article

Validation of electronic medical data: Identifying diabetes prevalence in general practice.

Joan Henderson, Stephen Barnett, Abhijeet Ghosh, Allan J Pollack, Adam Hodgkins, Khin Than Win, Graeme C Miller, Andrew Bonney

Health Inf Manag | Published : 2019

Abstract

BACKGROUND:: Electronic medical records are increasingly used for research with limited external validation of their data. OBJECTIVE:: This study investigates the validity of electronic medical data (EMD) for estimating diabetes prevalence in general practitioner (GP) patients by comparing EMD with national Bettering the Evaluation and Care of Health (BEACH) data. METHOD:: A "decision tree" was created using inclusion/exclusion of pre-agreed variables to determine the probability of diabetes in absence of diagnostic label, including diagnoses (coded/free-text diabetes, polycystic ovarian syndrome, impaired glucose tolerance, impaired fasting glucose), diabetic annual cycle of care (DACC), gl..

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University of Melbourne Researchers