Analyzing center specific outcomes in hematopoietic cell transplantation.
Reporting transplant center-specific survival rates after hematopoietic cell transplantation is required in the United States. We describe a method to report 1-year survival outcomes by center, as well as to quantify center performance relative to the transplant center network average, which can be reliably used with censored data and for small center sizes. Each center's observed 1-year survival outcome is compared to a predicted survival outcome adjusted for patient characteristics using a pseudovalue regression technique. A 95% prediction interval for 1-year survival assuming no center effect is computed for each center by bootstrapping the scaled residuals from the regression model, and the observed 1-year survival is compared to this prediction interval to determine center performance. We illustrate the technique using a recent center specific analysis performed by the Center for International Blood and Marrow Transplant Research, and study the performance of this method using simulation.
Logan
Brent R
BR
Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226-0509, USA. blogan@mcw.edu
Nelson
Gene O
GO
Klein
John P
JP
D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D018380:Hematopoietic Stem Cell Transplantation / Q000009:adverse effects* / Q000401:mortality*; D006801:Humans; D017063:Outcome Assessment, Health Care / Q000379:methods*; D012044:Regression Analysis; D012307:Risk Factors; D012680:Sensitivity and Specificity; D016019:Survival Analysis; D016896:Treatment Outcome; D014481:United States