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A method of identifying and correcting miscoding, misclassification and misdiagnosis in diabetes: a pilot and validation study of routinely collected data.
Journal article   Peer reviewed

A method of identifying and correcting miscoding, misclassification and misdiagnosis in diabetes: a pilot and validation study of routinely collected data.

S de Lusignan, K Khunti, J Belsey, A Hattersley, J van Vlymen, H Gallagher, C Millett, NJ Hague, C Tomson, K Harris, …
Diabet Med, Vol.27(2), pp.203-209
02/2010
DOI: https://doi.org/10.1111/j.1464-5491.2009.02917.x

Abstract

Adult Algorithms Data Collection Diabetes Mellitus Type 1 Diabetes Mellitus Type 2 Diagnostic Errors Female Humans Male Medical Records Systems Computerized Pilot Projects
Incorrect classification, diagnosis and coding of the type of diabetes may have implications for patient management and limit our ability to measure quality. The aim of the study was to measure the accuracy of diabetes diagnostic data and explore the scope for identifying errors.

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