Detecting chronic kidney disease in population-based administrative databases using an algorithm of hospital encounter and physician claim codes

BMC Nephrology

Volumn 14, Issue 1, 2013, Pages

  Fleet, Jamie L ^a   Dixon, Stephanie N ^a,b   Shariff, Salimah Z ^a,b   Quinn, Robert R ^c   Nash, Danielle M ^a   Harel, Ziv ^d   Garg, Amit X ^a,b,e  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

^b INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

^c UNIVERSITY OF CALGARY   (Canada)

^d UNIVERSITY OF TORONTO   (Canada)

^e LONDON HEALTH SCIENCES CENTRE   (Canada)

Author keywords

Chronic kidney disease; eGFR; International Classification of Diseases; Sensitivity; Serum creatinine; Specificity; Validation; Validity

Indexed keywords

CREATININE;

ADULT; AGED; ALGORITHM; ARTICLE; BILLING AND CLAIMS; CANADA; CHRONIC KIDNEY DISEASE; CONTROLLED STUDY; CREATININE BLOOD LEVEL; DATA BASE; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; GLOMERULUS FILTRATION RATE; HOSPITAL CARE; HUMAN; INTERNATIONAL CLASSIFICATION OF DISEASES; MAJOR CLINICAL STUDY; MALE; PATIENT CODING; PHARMACOEPIDEMIOLOGY; PHYSICIAN; POPULATION BASED CASE CONTROL STUDY; PREDICTIVE VALUE; PRESCRIPTION; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; VALIDITY;

AGED; AGED, 80 AND OVER; ALGORITHMS; COHORT STUDIES; DATABASES, FACTUAL; FEMALE; HOSPITAL ADMINISTRATION; HOSPITALIZATION; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; MALE; ONTARIO; PHYSICIANS; POPULATION SURVEILLANCE; RENAL INSUFFICIENCY, CHRONIC; RETROSPECTIVE STUDIES;

EID: 84875861528     PISSN: None     EISSN: 14712369     Source Type: Journal    
DOI: 10.1186/1471-2369-14-81     Document Type: Article

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