Predicting the risk of 1-year mortality in incident dialysis patients: Accounting for case-mix severity in studies using administrative data

Medical Care

Volumn 49, Issue 3, 2011, Pages 257-266

  Quinn, Robert R ^a,b,c   Laupacis, Andreas ^d,e   Hux, Janet E ^c,d,e,f   Oliver, Matthew J ^d,e,g   Austin, Peter C ^c,e,f  

^a UNIVERSITY OF CALGARY   (Canada)

^b FOOTHILLS HOSPITAL   (Canada)

^c INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

^d UNIVERSITY OF TORONTO   (Canada)

^e ST MICHAEL'S HOSPITAL   (Canada)

^f UNIVERSITY OF TORONTO   (Canada)

^g SUNNYBROOK RESEARCH INSTITUTE   (Canada)

Author keywords

administrative data; dialysis; mortality; risk adjustment

Indexed keywords

ARTICLE; CONTINUOUS RENAL REPLACEMENT THERAPY; HEMODIALYSIS; HEMODIALYSIS PATIENT; HUMAN; MAJOR CLINICAL STUDY; MORTALITY; OUTCOME ASSESSMENT; PERITONEAL DIALYSIS; PRIORITY JOURNAL; PROGNOSIS; RISK ASSESSMENT;

COHORT STUDIES; DIAGNOSIS-RELATED GROUPS; FEMALE; HUMANS; KIDNEY FAILURE, CHRONIC; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, THEORETICAL; ONTARIO; RENAL DIALYSIS; RISK ADJUSTMENT; RISK ASSESSMENT; SOCIOECONOMIC FACTORS; TREATMENT OUTCOME;

EID: 79951676966     PISSN: 00257079     EISSN: None     Source Type: Journal    
DOI: 10.1097/MLR.0b013e318202aa0b     Document Type: Article

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