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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.

de Lusignan, S, Khunti, K, Belsey, J, Hattersley, A, van Vlymen, J, Gallagher, H, Millett, C, Hague, NJ, Tomson, C, Harris, K and Majeed, A (2010) A method of identifying and correcting miscoding, misclassification and misdiagnosis in diabetes: a pilot and validation study of routinely collected data. Diabet Med, 27 (2). pp. 203-209.

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Abstract

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.

Item Type: Article
Authors :
AuthorsEmailORCID
de Lusignan, SUNSPECIFIEDUNSPECIFIED
Khunti, KUNSPECIFIEDUNSPECIFIED
Belsey, JUNSPECIFIEDUNSPECIFIED
Hattersley, AUNSPECIFIEDUNSPECIFIED
van Vlymen, JUNSPECIFIEDUNSPECIFIED
Gallagher, HUNSPECIFIEDUNSPECIFIED
Millett, CUNSPECIFIEDUNSPECIFIED
Hague, NJUNSPECIFIEDUNSPECIFIED
Tomson, CUNSPECIFIEDUNSPECIFIED
Harris, KUNSPECIFIEDUNSPECIFIED
Majeed, AUNSPECIFIEDUNSPECIFIED
Date : February 2010
Identification Number : https://doi.org/10.1111/j.1464-5491.2009.02917.x
Uncontrolled Keywords : Adult, Algorithms, Data Collection, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Diagnostic Errors, Female, Humans, Male, Medical Records Systems, Computerized, Pilot Projects
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 15:03
Last Modified : 28 Mar 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/185984

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