The usefulness of administrative databases for identifying disease cohorts is increased with a multivariate model

Journal of Clinical Epidemiology

Volumn 63, Issue 12, 2010, Pages 1332-1341

  Van Walraven, Carl ^a,b,c   Austin, Peter C ^b   Manuel, Douglas ^a,b   Knoll, Greg ^a,c   Jennings, Allison ^a   Forster, Alan J ^a,c  

^a OTTAWA HOSPITAL RESEARCH INSTITUTE   (Canada)

^b INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

^c UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Accuracy; Administrative databases; Health services research; International Classification of Disease codes; Misclassification; Multivariate regression model

Indexed keywords

CREATININE;

ACCURACY; ADMINISTRATIVE DATABASE; ADULT; AGED; ARTICLE; CALCULATION; COHORT ANALYSIS; COMORBIDITY; CONTROLLED STUDY; CREATININE BLOOD LEVEL; DIAGNOSTIC ACCURACY; DISEASE ASSOCIATION; DISEASE MODEL; FACTUAL DATABASE; FEMALE; GLOMERULUS FILTRATION RATE; HOSPITAL ADMISSION; HOSPITALIZATION; HUMAN; INFORMATION PROCESSING; INTERNATIONAL CLASSIFICATION OF DISEASES; KIDNEY DISEASE; KIDNEY FAILURE; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MULTIVARIATE ANALYSIS; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PATIENT CODING; PRIORITY JOURNAL; PROBABILITY; RANDOMIZATION; RENAL REPLACEMENT THERAPY; RISK FACTOR; SENSITIVITY AND SPECIFICITY; TOTAL QUALITY MANAGEMENT; VALIDATION STUDY;

AGED; CANADA; COHORT STUDIES; DATABASES, FACTUAL; EPIDEMIOLOGIC RESEARCH DESIGN; FEMALE; HOSPITALIZATION; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; KIDNEY FAILURE, CHRONIC; LOGISTIC MODELS; MALE; MEDICAL RECORDS; PROBABILITY; REPRODUCIBILITY OF RESULTS;

EID: 78049238995     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2010.01.016     Document Type: Article

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