Literature DB >> 29371341

Standardized Transplantation Referral Ratio to Assess Performance of Transplant Referral among Dialysis Facilities.

Sudeshna Paul1, Laura C Plantinga2,3, Stephen O Pastan3,4, Jennifer C Gander5, Sumit Mohan6,7, Rachel E Patzer8,4,5.   

Abstract

BACKGROUND AND OBJECTIVES: For patients with ESRD, referral from a dialysis facility to a transplant center for evaluation is an important step toward kidney transplantation. However, a standardized measure for assessing clinical performance of dialysis facilities transplant access is lacking. We describe methodology for a new dialysis facility measure: the Standardized Transplantation Referral Ratio. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Transplant referral data from 8308 patients with incident ESRD within 249 dialysis facilities in the United States state of Georgia were linked with US Renal Data System data from January of 2008 to December of 2011, with follow-up through December of 2012. Facility-level expected referrals were computed from a two-stage Cox proportional hazards model after patient case mix risk adjustment including demographics and comorbidities. The Standardized Transplantation Referral Ratio (95% confidence interval) was calculated as a ratio of observed to expected referrals. Measure validity and reliability were assessed.
RESULTS: Over 2008-2011, facility Standardized Transplantation Referral Ratios in Georgia ranged from 0 to 4.87 (mean =1.16, SD=0.76). Most (77%) facilities had observed referrals as expected, whereas 11% and 12% had Standardized Transplantation Referral Ratios significantly greater than and less than expected, respectively. Age, race, sex, and comorbid conditions were significantly associated with the likelihood of referral, and they were included in risk adjustment for Standardized Transplantation Referral Ratio calculations. The Standardized Transplantation Referral Ratios were positively associated with evaluation, waitlisting, and transplantation (r=0.46, 0.35, and 0.20, respectively; P<0.01). On average, approximately 33% of the variability in Standardized Transplantation Referral Ratios was attributed to between-facility variation, and 67% of the variability in Standardized Transplantation Referral Ratios was attributed to within-facility variation.
CONCLUSIONS: The majority of observed variation in dialysis facility referral performance was due to characteristics within a dialysis facility rather than patient factors included in risk adjustment models. Our study shows a method for computing a facility-level standardized measure for transplant referral on the basis of a pilot sample of Georgia dialysis facilities that could be used to monitor transplant referral performance of dialysis facilities.
Copyright © 2018 by the American Society of Nephrology.

Entities:  

Keywords:  Comorbidity; Confidence Intervals; Demography; Diagnosis-Related Groups; Follow-Up Studies; Kidney Failure, Chronic; Proportional Hazards Models; Referral and Consultation; Reproducibility of Results; Risk Adjustment; end stage renal disease; evaluation referral; kidney transplantation; kidney, Probability; quality measure; renal dialysis

Mesh:

Year:  2018        PMID: 29371341      PMCID: PMC5967424          DOI: 10.2215/CJN.04690417

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  20 in total

1.  Standards for statistical models used for public reporting of health outcomes: an American Heart Association Scientific Statement from the Quality of Care and Outcomes Research Interdisciplinary Writing Group: cosponsored by the Council on Epidemiology and Prevention and the Stroke Council. Endorsed by the American College of Cardiology Foundation.

Authors:  Harlan M Krumholz; Ralph G Brindis; John E Brush; David J Cohen; Andrew J Epstein; Karen Furie; George Howard; Eric D Peterson; Saif S Rathore; Sidney C Smith; John A Spertus; Yun Wang; Sharon-Lise T Normand
Journal:  Circulation       Date:  2005-12-19       Impact factor: 29.690

2.  Should Transplant Referral Be a Clinical Performance Measure?

Authors:  Ashwini R Sehgal
Journal:  J Am Soc Nephrol       Date:  2016-12-05       Impact factor: 10.121

Review 3.  Influence of race, ethnicity and socioeconomic status on kidney disease.

Authors:  Rachel E Patzer; William M McClellan
Journal:  Nat Rev Nephrol       Date:  2012-06-26       Impact factor: 28.314

4.  Referral for Kidney Transplantation and Indicators of Quality of Dialysis Care: A Cross-sectional Study.

Authors:  Laura C Plantinga; Stephen O Pastan; Adam S Wilk; Jenna Krisher; Laura Mulloy; Eric M Gibney; Rachel E Patzer
Journal:  Am J Kidney Dis       Date:  2016-11-20       Impact factor: 8.860

5.  Accountability for end-stage organ care: implications of geographic variation in access to kidney transplantation.

Authors:  David A Axelrod; Krista L Lentine; Huiling Xiao; Thomas Bubolz; David Goodman; Richard Freeman; Janet E Tuttle-Newhall; Mark A Schnitzler
Journal:  Surgery       Date:  2013-12-14       Impact factor: 3.982

6.  Barriers to evaluation and wait listing for kidney transplantation.

Authors:  Jesse D Schold; Jon A Gregg; Jeffrey S Harman; Allyson G Hall; Pamela R Patton; Herwig-Ulf Meier-Kriesche
Journal:  Clin J Am Soc Nephrol       Date:  2011-05-19       Impact factor: 8.237

7.  Kidney transplantation and the intensity of poverty in the contiguous United States.

Authors:  Sumit Mohan; Richard Mutell; Rachel E Patzer; James Holt; David Cohen; William McClellan
Journal:  Transplantation       Date:  2014-09-27       Impact factor: 4.939

8.  Dialysis facility and network factors associated with low kidney transplantation rates among United States dialysis facilities.

Authors:  R E Patzer; L Plantinga; J Krisher; S O Pastan
Journal:  Am J Transplant       Date:  2014-05-29       Impact factor: 8.086

9.  Improving Access to Kidney Transplantation: Referral Is Not Enough.

Authors:  Lauren M Kucirka; Tanjala S Purnell; Dorry L Segev
Journal:  JAMA       Date:  2015-08-11       Impact factor: 56.272

10.  The RaDIANT community study protocol: community-based participatory research for reducing disparities in access to kidney transplantation.

Authors:  Rachel E Patzer; Jennifer Gander; Leighann Sauls; M Ahinee Amamoo; Jenna Krisher; Laura L Mulloy; Eric Gibney; Teri Browne; Laura Plantinga; Stephen O Pastan
Journal:  BMC Nephrol       Date:  2014-10-28       Impact factor: 2.388

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  9 in total

1.  Association of pretransplant and posttransplant program ratings with candidate mortality after listing.

Authors:  Andrew Wey; Sally K Gustafson; Nicholas Salkowski; Bertram L Kasiske; Melissa Skeans; Cory R Schaffhausen; Ajay K Israni; Jon J Snyder
Journal:  Am J Transplant       Date:  2018-08-21       Impact factor: 8.086

2.  Impact of Navigators on First Visit to a Transplant Center, Waitlisting, and Kidney Transplantation: A Randomized, Controlled Trial.

Authors:  Catherine M Sullivan; Kitty V Barnswell; Kate Greenway; Cindy M Kamps; Derrick Wilson; Jeffrey M Albert; Jacqueline Dolata; Anne Huml; Julie A Pencak; John T Ducker; Roberto Gedaly; Christopher M Jones; Todd Pesavento; Ashwini R Sehgal
Journal:  Clin J Am Soc Nephrol       Date:  2018-08-22       Impact factor: 8.237

3.  Accountability of Dialysis Facilities in Transplant Referral: CMS Needs to Collect National Data on Dialysis Facility Kidney Transplant Referrals.

Authors:  Kevin John Fowler
Journal:  Clin J Am Soc Nephrol       Date:  2018-01-25       Impact factor: 8.237

4.  Community Engagement to Improve Equity in Kidney Transplantation from the Ground Up: the Southeastern Kidney Transplant Coalition.

Authors:  Rachel E Patzer; Samantha Retzloff; Jade Buford; Jennifer Gander; Teri Browne; Heather Jones; Matt Ellis; Kelley Canavan; Alexander Berlin; Laura Mulloy; Eric Gibney; Leighann Sauls; Dori Muench; Amber Reeves-Daniel; Carlos Zayas; Derek DuBay; Rich Mutell; Stephen O Pastan
Journal:  Curr Transplant Rep       Date:  2021-10-31

5.  Gender Disparities in Kidney Transplantation Referral Vary by Age and Race: A Multiregional Cohort Study in the Southeast United States.

Authors:  Laken Smothers; Rachel E Patzer; Stephen O Pastan; Derek DuBay; Jessica L Harding
Journal:  Kidney Int Rep       Date:  2022-04-05

6.  Timing of the pre-transplant workup for renal transplantation: is there room for improvement?

Authors:  Marie Dirix; Ester Philipse; Rowena Vleut; Vera Hartman; Bart Bracke; Thierry Chapelle; Geert Roeyen; Dirk Ysebaert; Gerda Van Beeumen; Erik Snelders; Annick Massart; Katrien Leyssens; Marie M Couttenye; Daniel Abramowicz; Rachel Hellemans
Journal:  Clin Kidney J       Date:  2022-01-17

7.  Trends in Mineral Metabolism Treatment Strategies in Patients Receiving Hemodialysis in the United States.

Authors:  Rasheeda Hall; Alyssa Platt; Jonathan Wilson; Patti L Ephraim; Angelina S Hwang; Angel Chen; Daniel E Weiner; L Ebony Boulware; Jane Pendergast; Julia J Scialla
Journal:  Clin J Am Soc Nephrol       Date:  2020-10-12       Impact factor: 8.237

8.  Thematic analysis of the medical records of patients evaluated for kidney transplant who did not receive a kidney.

Authors:  Catherine R Butler; Janelle S Taylor; Peter P Reese; Ann M O'Hare
Journal:  BMC Nephrol       Date:  2020-07-25       Impact factor: 2.388

9.  Dialysis Facility Profit Status and Early Steps in Kidney Transplantation in the Southeastern United States.

Authors:  Laura J McPherson; Elizabeth R Walker; Yi-Ting Hana Lee; Jennifer C Gander; Zhensheng Wang; Amber M Reeves-Daniel; Teri Browne; Matthew J Ellis; Ana P Rossi; Stephen O Pastan; Rachel E Patzer
Journal:  Clin J Am Soc Nephrol       Date:  2021-05-26       Impact factor: 10.614

  9 in total

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