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Measuring Transplant Center Performance: The Goals Are Not Controversial but the Methods and Consequences Can Be

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Date 2017 Oct 3
PMID 28966901
Citations 16
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Abstract

Purpose Of Review: Risks of regulatory scrutiny has generated widespread concern about increasingly risk averse transplant center behaviors regarding both donor and candidate acceptance patterns. To address potential unintended consequences threatening access to care, we discuss recent changes in regulatory metrics and potential improvements in quality oversight of transplant centers.

Recent Findings: Despite many recent changes to one-year patient and graft survival regulatory criteria, the capacity to accurately identify true underperforming centers and avoiding false positive flagging remains an area of great concern. Numerous studies have demonstrated restrictions in transplant volume and access following transplant center flagging.

Summary: Current regulatory criteria are limited in their capacity to accurately identify poorly performing centers and potentially encourage risk-averse behavior by transplant centers. Efforts to address these concerns should focus on (1) improving risk-adjustment models with better data which captures the acuity of candidate and donor risk, (2) reconsidering primary outcomes measured to assess comprehensive transplant center performance, (3) improving education to address rational or perceived disincentives, and (4) using data more effectively to share best practices.

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References
1.
Roberts J . Impact of outcomes monitoring on innovation and risk in liver transplantation. Liver Transpl. 2012; 18 Suppl 2:S59-63. DOI: 10.1002/lt.23539. View

2.
Salkowski N, Snyder J, Zaun D, Leighton T, Edwards E, Israni A . A scientific registry of transplant recipients bayesian method for identifying underperforming transplant programs. Am J Transplant. 2014; 14(6):1310-7. DOI: 10.1111/ajt.12702. View

3.
Schold J, Howard R . Prediction models assessing transplant center performance: can a little knowledge be a dangerous thing?. Am J Transplant. 2006; 6(2):245-6. DOI: 10.1111/j.1600-6143.2005.01216.x. View

4.
Massie A, Luo X, Chow E, Alejo J, Desai N, Segev D . Survival benefit of primary deceased donor transplantation with high-KDPI kidneys. Am J Transplant. 2014; 14(10):2310-6. DOI: 10.1111/ajt.12830. View

5.
Snyder J, Salkowski N, Zaun D, Leppke S, Leighton T, Israni A . New quality monitoring tools provided by the Scientific Registry of Transplant Recipients: CUSUM. Am J Transplant. 2014; 14(3):515-23. DOI: 10.1111/ajt.12628. View