Literature DB >> 16426315

Transplant center quality assessment using a continuously updatable, risk-adjusted technique (CUSUM).

D A Axelrod1, M K Guidinger, R A Metzger, R H Wiesner, R L Webb, R M Merion.   

Abstract

Access to timely, risk-adjusted measures of transplant center outcomes is crucial for program quality improvement. The cumulative summation technique (CUSUM) has been proposed as a sensitive tool to detect persistent, clinically relevant changes in transplant center performance over time. Scientific Registry of Transplant Recipients data for adult kidney and liver transplants (1/97 to 12/01) were examined using logistic regression models to predict risk of graft failure (kidney) and death (liver) at 1 year. Risk-adjusted CUSUM charts were constructed for each center and compared with results from the semi-annual method of the Organ Procurement and Transplantation Network (OPTN). Transplant centers (N = 258) performed 59 650 kidney transplants, with a 9.2% 1-year graft failure rate. The CUSUM method identified centers with a period of significantly improving (N = 92) or declining (N = 52) performance. Transplant centers (N = 114) performed 18 277 liver transplants, with a 13.9% 1-year mortality rate. The CUSUM method demonstrated improving performance at 48 centers and declining performance at 24 centers. The CUSUM technique also identified the majority of centers flagged by the current OPTN method (20/22 kidney and 8/11 liver). CUSUM monitoring may be a useful technique for quality improvement, allowing center directors to identify clinically important, risk-adjusted changes in transplant center outcome.

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Year:  2006        PMID: 16426315     DOI: 10.1111/j.1600-6143.2005.01191.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  12 in total

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4.  Statistical approach to quality assessment in liver transplantation.

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Review 6.  Program-specific reports: implications and impact on program behavior.

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8.  A weighted cumulative sum (WCUSUM) to monitor medical outcomes with dependent censoring.

Authors:  Rena Jie Sun; John D Kalbfleisch; Douglas E Schaubel
Journal:  Stat Med       Date:  2014-03-13       Impact factor: 2.373

9.  Reference values and physiological characterization of a specific isolated pig kidney perfusion model.

Authors:  Volker Unger; Christian Grosse-Siestrup; Claudia Fehrenberg; Axel Fischer; Michael Meissler; David A Groneberg
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10.  A proposal to grade the severity of early allograft dysfunction after liver transplantation.

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