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

Diabetic Medicine

Volumn 27, Issue 2, 2010, Pages 203-209

  De Lusignan, S ^a   Khunti, K ^b   Belsey, J ^a   Hattersley, A ^c   Van Vlymen, J ^a   Gallagher, H ^d   Millett, C ^e   Hague, N J ^a   Tomson, C ^f   Harris, K ^g   Majeed, A ^e  

^a ST GEORGE'S UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

^c PENINSULA MEDICAL SCHOOL   (United Kingdom)

^d ST HELIER HOSPITAL   (United Kingdom)

^e IMPERIAL COLLEGE LONDON   (United Kingdom)

^f SOUTHMEAD HOSPITAL   (United Kingdom)

^g UNIVERSITY HOSPITALS OF LEICESTER NHS TRUST   (United Kingdom)

Author keywords

Computerized vocabulary; Controlled medical informatics; Diabetes mellitus; Diagnostic errors; Medical records systems

Indexed keywords

GLUCOSE; HEMOGLOBIN A1C; INSULIN; METFORMIN;

ADULT; ALGORITHM; ARTICLE; BODY MASS; DIABETES MELLITUS; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DISEASE CLASSIFICATION; GLUCOSE BLOOD LEVEL; GROUPS BY AGE; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; INSULIN TREATMENT; LABORATORY TEST; MAJOR CLINICAL STUDY; NON INSULIN DEPENDENT DIABETES MELLITUS; PATIENT CODING; PRESCRIPTION; PREVALENCE; VALIDATION STUDY; DIABETES MELLITUS, TYPE 1; DIABETES MELLITUS, TYPE 2; ELECTRONIC MEDICAL RECORD; FEMALE; INFORMATION PROCESSING; MALE; PILOT STUDY; STANDARDS;

ADULT; ALGORITHMS; DATA COLLECTION; DIABETES MELLITUS, TYPE 1; DIABETES MELLITUS, TYPE 2; DIAGNOSTIC ERRORS; FEMALE; HUMANS; MALE; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; PILOT PROJECTS;

EID: 76249088252     PISSN: 07423071     EISSN: 14645491     Source Type: Journal    
DOI: 10.1111/j.1464-5491.2009.02917.x     Document Type: Article

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