Literature DB >> 28966901

Measuring transplant center performance: The goals are not controversial but the methods and consequences can be.

Colleen Jay1, Jesse D Schold2,3.   

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.

Entities:  

Keywords:  Centers for Medicare and Medicaid Services; Membership and Professional Standards Committee; Organ Procurement and Transplant Network; Organ Transplantation; Performance metrics; Quality; Regulatory oversight

Year:  2017        PMID: 28966901      PMCID: PMC5616160          DOI: 10.1007/s40472-017-0138-9

Source DB:  PubMed          Journal:  Curr Transplant Rep


  25 in total

1.  Prediction models assessing transplant center performance: can a little knowledge be a dangerous thing?

Authors:  J D Schold; R J Howard
Journal:  Am J Transplant       Date:  2006-02       Impact factor: 8.086

2.  American Society of Transplant Surgeons transplant center outcomes requirements--a threat to innovation.

Authors:  M M Abecassis; R Burke; G B Klintmalm; A J Matas; R M Merion; D Millman; K Olthoff; J P Roberts
Journal:  Am J Transplant       Date:  2009-04-10       Impact factor: 8.086

3.  New quality monitoring tools provided by the Scientific Registry of Transplant Recipients: CUSUM.

Authors:  J J Snyder; N Salkowski; D Zaun; S N Leppke; T Leighton; A K Israni; B L Kasiske
Journal:  Am J Transplant       Date:  2014-02-06       Impact factor: 8.086

4.  A scientific registry of transplant recipients bayesian method for identifying underperforming transplant programs.

Authors:  N Salkowski; J J Snyder; D A Zaun; T Leighton; E B Edwards; A K Israni; B L Kasiske
Journal:  Am J Transplant       Date:  2014-05-01       Impact factor: 8.086

5.  Association between kidney transplant center performance and the survival benefit of transplantation versus dialysis.

Authors:  Jesse D Schold; Laura D Buccini; David A Goldfarb; Stuart M Flechner; Emilio D Poggio; Ashwini R Sehgal
Journal:  Clin J Am Soc Nephrol       Date:  2014-09-18       Impact factor: 8.237

6.  Survival benefit of primary deceased donor transplantation with high-KDPI kidneys.

Authors:  A B Massie; X Luo; E K H Chow; J L Alejo; N M Desai; D L Segev
Journal:  Am J Transplant       Date:  2014-08-19       Impact factor: 8.086

7.  Preemptive kidney transplantation: the advantage and the advantaged.

Authors:  Bertram L Kasiske; Jon J Snyder; Arthur J Matas; Mary D Ellison; John S Gill; Annamaria T Kausz
Journal:  J Am Soc Nephrol       Date:  2002-05       Impact factor: 10.121

8.  Impact of outcomes monitoring on innovation and risk in liver transplantation.

Authors:  John Paul Roberts
Journal:  Liver Transpl       Date:  2012-11       Impact factor: 5.799

9.  Half of kidney transplant candidates who are older than 60 years now placed on the waiting list will die before receiving a deceased-donor transplant.

Authors:  Jesse Schold; Titte R Srinivas; Ashwini R Sehgal; Herwig-Ulf Meier-Kriesche
Journal:  Clin J Am Soc Nephrol       Date:  2009-06-18       Impact factor: 8.237

10.  Patient selection and volume in the era surrounding implementation of Medicare conditions of participation for transplant programs.

Authors:  Sarah L White; Dawn M Zinsser; Matthew Paul; Gregory N Levine; Tempie Shearon; Valarie B Ashby; John C Magee; Yi Li; Alan B Leichtman
Journal:  Health Serv Res       Date:  2014-05-19       Impact factor: 3.402

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  12 in total

1.  The relationship between the C-statistic and the accuracy of program-specific evaluations.

Authors:  Andrew Wey; Nicholas Salkowski; Bertram L Kasiske; Melissa A Skeans; Sally K Gustafson; Ajay K Israni; Jon J Snyder
Journal:  Am J Transplant       Date:  2018-10-29       Impact factor: 8.086

2.  Transplant community perceptions of the benefits and drawbacks of alternative quality metrics for regulation.

Authors:  Sarah E Van Pilsum Rasmussen; Sheng Zhou; Alvin G Thomas; Dorry L Segev; Lauren H Nicholas
Journal:  Clin Transplant       Date:  2019-03-06       Impact factor: 2.863

3.  Evaluation of Accepting Kidneys of Varying Quality for Transplantation or Expedited Placement With Decision Trees.

Authors:  Vikram Kilambi; Kevin Bui; Gordon B Hazen; John J Friedewald; Daniela P Ladner; Bruce Kaplan; Sanjay Mehrotra
Journal:  Transplantation       Date:  2019-05       Impact factor: 4.939

4.  Donor Utilization in the Recent Era: Effect of Sex, Drugs, and Increased Risk.

Authors:  David A Baran; Ashleigh Long; Justin Lansinger; Jack G Copeland; Hannah Copeland
Journal:  Circ Heart Fail       Date:  2022-06-21       Impact factor: 10.447

5.  External validation and comparison of risk score models in pediatric heart transplants.

Authors:  Alia Dani; Justin S Heidel; Tingting Qiu; Yin Zhang; Yizhao Ni; Md Monir Hossain; Clifford Chin; David L S Morales; Bin Huang; Farhan Zafar
Journal:  Pediatr Transplant       Date:  2021-12-08

6.  Seeking new answers to old questions about public reporting of transplant program performance in the United States.

Authors:  Bertram L Kasiske; Andrew Wey; Nicholas Salkowski; David Zaun; Cory R Schaffhausen; Ajay K Israni; Jon J Snyder
Journal:  Am J Transplant       Date:  2018-09-06       Impact factor: 8.086

7.  A Donor Utilization Index to Assess the Utilization and Discard of Deceased Donor Kidneys Perceived as High Risk.

Authors:  Corey Brennan; Syed Ali Husain; Kristen L King; Demetra Tsapepas; Lloyd E Ratner; Zhezhen Jin; Jesse D Schold; Sumit Mohan
Journal:  Clin J Am Soc Nephrol       Date:  2019-10-17       Impact factor: 8.237

8.  Degree of Glomerulosclerosis in Procurement Kidney Biopsies from Marginal Donor Kidneys and Their Implications in Predicting Graft Outcomes.

Authors:  Wisit Cheungpasitporn; Charat Thongprayoon; Pradeep K Vaitla; Api Chewcharat; Panupong Hansrivijit; Felicitas L Koller; Michael A Mao; Tarun Bathini; Sohail Abdul Salim; Sreelatha Katari; Lee S Cummings; Eddie Island; Jameson Forster; Napat Leeaphorn
Journal:  J Clin Med       Date:  2020-05-14       Impact factor: 4.241

9.  Transplant Center Variability in Organ Offer Acceptance and Mortality Among US Patients on the Heart Transplant Waitlist.

Authors:  Ashley Y Choi; Michael S Mulvihill; Hui-Jie Lee; Congwen Zhao; Maragatha Kuchibhatla; Jacob N Schroder; Chetan B Patel; Christopher B Granger; Matthew G Hartwig
Journal:  JAMA Cardiol       Date:  2020-06-01       Impact factor: 14.676

10.  Patient selection in the presence of regulatory oversight based on healthcare report cards of providers: the case of organ transplantation.

Authors:  Mariétou H Ouayogodé; Kurt E Schnier
Journal:  Health Care Manag Sci       Date:  2021-01-08
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