Validating ICD coding algorithms for diabetes mellitus from administrative data

Diabetes Research and Clinical Practice

Volumn 89, Issue 2, 2010, Pages 189-195

  Chen, Guanmin ^a   Khan, Nadia ^b   Walker, Robin ^a   Quan, Hude ^a  

^a UNIVERSITY OF CALGARY   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Administrative data; Diabetes, ICD, Surveillance; Validity

Indexed keywords

ADULT; AGE; ARTICLE; CANADA; CLASSIFICATION ALGORITHM; COMORBIDITY; DIABETES MELLITUS; FEMALE; GENDER; GEOGRAPHIC ORIGIN; GOLD STANDARD; HOSPITALIZATION; HUMAN; INTERNATIONAL CLASSIFICATION OF DISEASES; MAJOR CLINICAL STUDY; MALE; MEDICAL RECORD; PREDICTION; PREVALENCE; PROVINCE; SENSITIVITY AND SPECIFICITY; URBAN RURAL DIFFERENCE; VALIDATION STUDY; ALGORITHM; CLASSIFICATION; MIDDLE AGED; STATISTICS AND NUMERICAL DATA;

ADULT; ALGORITHMS; DIABETES MELLITUS; FEMALE; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; MALE; MEDICAL RECORDS; MIDDLE AGED;

EID: 77955096791     PISSN: 01688227     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.diabres.2010.03.007     Document Type: Article

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