Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/16528
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dc.contributor.authorde Lusignan S-
dc.contributor.authorKhunti, K-
dc.contributor.authorBelsey, J-
dc.contributor.authorHattersley, A-
dc.contributor.authorvan Vlymen J-
dc.contributor.authorGallagher, H-
dc.contributor.authorMillett, C-
dc.contributor.authorHague, NJ-
dc.contributor.authorTomson, C-
dc.contributor.authorHarris, K-
dc.contributor.authorMajeed, A-
dc.date.accessioned2012-10-24T09:01:19Z-
dc.date.available2012-10-24T09:01:19Z-
dc.date.issued2010-02-
dc.identifier.citationDIABET MED, 2010, 27 (2), pp. 203-209-
dc.identifier.urihttp://hdl.handle.net/2381/16528-
dc.description.abstractIncorrect 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.-
dc.formatmetadata-
dc.language.isoeng-
dc.sourcePubMed-
dc.source.urihttp://www.ncbi.nlm.nih.gov/pubmed/-
dc.subjectAdult-
dc.subjectAlgorithms-
dc.subjectData Collection-
dc.subjectDiabetes Mellitus-
dc.subjectType 1-
dc.subjectDiabetes Mellitus-
dc.subjectType 2-
dc.subjectDiagnostic Errors-
dc.subjectFemale-
dc.subjectHumans-
dc.subjectMale-
dc.subjectMedical Records Systems-
dc.subjectComputerized-
dc.subjectPilot Projects-
dc.titleA method of identifying and correcting miscoding, misclassification and misdiagnosis in diabetes: a pilot and validation study of routinely collected data.-
dc.typeJournal Article-
dc.identifier.doi10.1111/j.1464-5491.2009.02917.x-
dc.identifier.eissn1464-5491-
dc.identifier.piiDME2917-
dc.description.irispid18896-
Appears in Collections:Published Articles, Dept. of Health Sciences

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