Literature DB >> 30074680

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

Bertram L Kasiske1,2, Andrew Wey1, Nicholas Salkowski1, David Zaun1, Cory R Schaffhausen2, Ajay K Israni1,2,3, Jon J Snyder1,3.   

Abstract

The Scientific Registry of Transplant Recipients (SRTR) is mandated by the National Organ Transplant Act, the Final Rule, and the SRTR contract with the Health Resources and Services Administration to report program-specific information on the performance of transplant programs. Following a consensus conference in 2012, SRTR developed a new version of the public website to improve public reporting of often complex metrics, including changing from a 3-tier to a 5-tier summary metric for first-year posttransplant survival. After its release in December 2016, the new presentation was moved to a "beta" website to allow collection of additional feedback. SRTR made further improvements and released a new beta website in May 2018. In response to feedback, SRTR added 5-tier summaries for standardized waitlist mortality and deceased donor transplant rate ratios, along with an indicator of which metric most affects survival after listing. Presentation of results was made more understandable with input from patients and families from surveys and focus groups. Room for improvement remains, including continuing to make the data more useful to patients, deciding what additional data elements should be collected to improve risk adjustment, and developing new metrics that better reflect outcomes most relevant to patients. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  Organ Procurement and Transplantation Network (OPTN); Scientific Registry for Transplant Recipients (SRTR); editorial/personal viewpoint; organ transplantation in general

Mesh:

Year:  2018        PMID: 30074680      PMCID: PMC7278056          DOI: 10.1111/ajt.15051

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


  26 in total

1.  National release of the nursing home quality report cards: implications of statistical methodology for risk adjustment.

Authors:  Yue Li; Xueya Cai; Laurent G Glance; William D Spector; Dana B Mukamel
Journal:  Health Serv Res       Date:  2009-02       Impact factor: 3.402

2.  Effects of cardiovascular comorbidity adjustment on SRTR risk-adjusted cox proportional hazard models of graft survival.

Authors:  Ronald P Pelletier; Gary S Phillips; Amer Rajab; Todd E Pesavento; Mitchell L Henry
Journal:  Transplantation       Date:  2014-03-27       Impact factor: 4.939

3.  What patients and members of their support networks ask about transplant program data.

Authors:  Cory R Schaffhausen; Marilyn J Bruin; Daryl Chesley; Maureen McBride; Jon J Snyder; Bertram L Kasiske; Ajay K Israni
Journal:  Clin Transplant       Date:  2017-10-23       Impact factor: 2.863

4.  The association of center performance evaluations and kidney transplant volume in the United States.

Authors:  J D Schold; L D Buccini; T R Srinivas; R T Srinivas; E D Poggio; S M Flechner; C Soria; D L Segev; J Fung; D A Goldfarb
Journal:  Am J Transplant       Date:  2013-01       Impact factor: 8.086

5.  The relationship between the C-statistic of a risk-adjustment model and the accuracy of hospital report cards: a Monte Carlo Study.

Authors:  Peter C Austin; Mathew J Reeves
Journal:  Med Care       Date:  2013-03       Impact factor: 2.983

6.  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

7.  A kidney offer acceptance decision tool to inform the decision to accept an offer or wait for a better kidney.

Authors:  Andrew Wey; Nicholas Salkowski; Walter K Kremers; Cory R Schaffhausen; Bertram L Kasiske; Ajay K Israni; Jon J Snyder
Journal:  Am J Transplant       Date:  2017-10-17       Impact factor: 8.086

8.  Report of a consensus conference on transplant program quality and surveillance.

Authors:  B L Kasiske; M A McBride; D L Cornell; R S Gaston; M L Henry; F D Irwin; A K Israni; N W Metzler; K W Murphy; A I Reed; J P Roberts; N Salkowski; J J Snyder; S C Sweet
Journal:  Am J Transplant       Date:  2012-06-08       Impact factor: 8.086

Review 9.  Developing Statistical Models to Assess Transplant Outcomes Using National Registries: The Process in the United States.

Authors:  Jon J Snyder; Nicholas Salkowski; S Joseph Kim; David Zaun; Hui Xiong; Ajay K Israni; Bertram L Kasiske
Journal:  Transplantation       Date:  2016-02       Impact factor: 4.939

10.  Effect of comorbidity adjustment on CMS criteria for kidney transplant center performance.

Authors:  E D Weinhandl; J J Snyder; A K Israni; B L Kasiske
Journal:  Am J Transplant       Date:  2009-02-03       Impact factor: 8.086

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  12 in total

1.  Frailty and Cognitive Deficits Limit Access to Kidney Transplantation: Unfair or Unavoidable?

Authors:  Meera N Harhay; Peter P Reese
Journal:  Clin J Am Soc Nephrol       Date:  2019-03-19       Impact factor: 8.237

2.  Tool to Aid Patients in Selecting a Liver Transplant Center.

Authors:  Cory R Schaffhausen; Marilyn J Bruin; Sauman Chu; Helen Fu; Warren T McKinney; David Schladt; Jon J Snyder; W Ray Kim; Jack R Lake; Bertram L Kasiske; Ajay K Israni
Journal:  Liver Transpl       Date:  2020-03       Impact factor: 5.799

3.  How patients choose kidney transplant centers: A qualitative study of patient experiences.

Authors:  Cory R Schaffhausen; Marilyn J Bruin; Warren T McKinney; Jon J Snyder; Arthur J Matas; Bertram L Kasiske; Ajay K Israni
Journal:  Clin Transplant       Date:  2019-04-21       Impact factor: 2.863

4.  Trends in Coronary Artery Disease Screening before Kidney Transplantation.

Authors:  Xingxing S Cheng; Sai Liu; Jialin Han; Margaret R Stedman; Glenn M Chertow; Jane C Tan; William F Fearon
Journal:  Kidney360       Date:  2021-12-09

5.  Keys to Driving Implementation of the New Kidney Care Models.

Authors:  Abhijit V Kshirsagar; Daniel E Weiner; Mallika L Mendu; Frank Liu; Susie Q Lew; Terrence J O'Neil; Scott D Bieber; David L White; Jonathan Zimmerman; Sumit Mohan
Journal:  Clin J Am Soc Nephrol       Date:  2022-03-14       Impact factor: 10.614

6.  Comparing Pretransplant and Posttransplant Outcomes When Choosing a Transplant Center: Focus Groups and a Randomized Survey.

Authors:  Cory R Schaffhausen; Marilyn J Bruin; Sauman Chu; Andrew Wey; Warren T McKinney; Jon J Snyder; Jack R Lake; Arthur J Matas; Bertram L Kasiske; Ajay K Israni
Journal:  Transplantation       Date:  2020-01       Impact factor: 5.385

7.  Predictive Capacity of Risk Models in Liver Transplantation.

Authors:  Jacob D de Boer; Hein Putter; Joris J Blok; Ian P J Alwayn; Bart van Hoek; Andries E Braat
Journal:  Transplant Direct       Date:  2019-05-22

8.  State-Level Variation in Waitlist Mortality and Transplant Outcomes Among Patients Listed for Heart Transplantation in the US From 2011 to 2016.

Authors:  Emmanuel Akintoye; Doosup Shin; Paulino Alvarez; Alexandros Briasoulis
Journal:  JAMA Netw Open       Date:  2020-12-01

9.  Kidney transplant program waitlisting rate as a metric to assess transplant access.

Authors:  Sudeshna Paul; Taylor Melanson; Sumit Mohan; Katherine Ross-Driscoll; Laura McPherson; Raymond Lynch; Denise Lo; Stephen O Pastan; Rachel E Patzer
Journal:  Am J Transplant       Date:  2020-09-15       Impact factor: 8.086

10.  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

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