Early Effects of the ESRD Treatment Choices Model on Kidney Transplant Waitlist Additions

Key Points The ESRD Treatment Choices model did not lead to an increase in kidney transplant waitlisting. The COVID-19 pandemic had a substantial impact on kidney transplant waitlist additions. Financial incentives alone, in the short term, did not lead to a substantial effect on kidney transplant waitlisting practices. Background Despite the mortality benefit of kidney transplantation over dialysis, only 13% of patients with ESKD are on the transplant waitlist. Given the low rates of transplant waitlisting in the United States, Medicare launched the ESRD Treatment Choices (ETC) model in 2021, the largest mandatory trial of payment incentives in kidney disease, which randomized 30% of health care markets to financial bonuses/penalties to improve kidney transplantation and home dialysis use. This study examines the effect of ETC payment adjustments on US kidney transplant waitlist additions. Methods Using data from the Organ Procurement and Transplantation Network registry, we examined kidney transplant waitlisting trends between January 1, 2017, and June 30, 2022. Participants were divided into intervention and control arms of the ETC model. Using an interrupted time series design, we compared slope changes in waitlist additions after ETC model implementation (implementation date: January 01, 2021) between the two arms, while accounting for differential changes during the coronavirus disease 2019 pandemic. Results were stratified by race and ethnicity (White, Black, Hispanic, and other). To examine balance between the two ETC arms, we conducted supplementary analyses using United States Renal Data System and Medicare data. Results After implementation of the ETC model, there were 5550 waitlist additions in the intervention arm and 11,332 additions in the control arm (versus 14,023 and 30,610 additions before the ETC model). After ETC model implementation, there were no significant differences in kidney transplant waitlist additions between the two arms for the overall cohort (slope difference 6.9 new listings/mo; 95% confidence interval [CI], −7.4 to 21.1) or among White (slope difference 2.6/mo; 95% CI, −3.0 to 8.1), Black (slope difference 2.2/mo; 95% CI, −4.3 to 8.7), or Hispanic (slope difference 0.2/mo; 95% CI, −4.5 to 4.9) patients. Conclusions In the 18 months after implementation, the ETC model was not associated with significant changes in new kidney transplant waitlist additions.

Authors

Institutions

Publication Details

Journal
Clinical Journal of the American Society of Nephrology
Published
2024-10-16
DOI
https://doi.org/10.2215/cjn.0000000000000571
Citations
4
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
Field-Weighted Citation Impact
2.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Early Effects of the ESRD Treatment Choices Model on Kidney Transplant Waitlist Additions

Joshua M. Liao, Qian Huang, Genevieve P. Kanter, Vishnu S. Potluri et al.
4 citations
Clinical Journal of the American Society of Nephrology
Renal Transplantation Outcomes and Treatments
2.03
article

Early Effects of the ESRD Treatment Choices Model on Kidney Transplant Waitlist Additions

Joshua M. Liao, Qian Huang, Genevieve P. Kanter, Vishnu S. Potluri, Sri Lekha Tummalapalli, Amol S. Navathe, Yuvaram N.V. Reddy, Peng Chen, Yueming Zhao, Jingsan Zhu
article en
4 citations

Abstract

Key Points The ESRD Treatment Choices model did not lead to an increase in kidney transplant waitlisting. The COVID-19 pandemic had a substantial impact on kidney transplant waitlist additions. Financial incentives alone, in the short term, did not lead to a substantial effect on kidney transplant waitlisting practices. Background Despite the mortality benefit of kidney transplantation over dialysis, only 13% of patients with ESKD are on the transplant waitlist. Given the low rates of transplant waitlisting in the United States, Medicare launched the ESRD Treatment Choices (ETC) model in 2021, the largest mandatory trial of payment incentives in kidney disease, which randomized 30% of health care markets to financial bonuses/penalties to improve kidney transplantation and home dialysis use. This study examines the effect of ETC payment adjustments on US kidney transplant waitlist additions. Methods Using data from the Organ Procurement and Transplantation Network registry, we examined kidney transplant waitlisting trends between January 1, 2017, and June 30, 2022. Participants were divided into intervention and control arms of the ETC model. Using an interrupted time series design, we compared slope changes in waitlist additions after ETC model implementation (implementation date: January 01, 2021) between the two arms, while accounting for differential changes during the coronavirus disease 2019 pandemic. Results were stratified by race and ethnicity (White, Black, Hispanic, and other). To examine balance between the two ETC arms, we conducted supplementary analyses using United States Renal Data System and Medicare data. Results After implementation of the ETC model, there were 5550 waitlist additions in the intervention arm and 11,332 additions in the control arm (versus 14,023 and 30,610 additions before the ETC model). After ETC model implementation, there were no significant differences in kidney transplant waitlist additions between the two arms for the overall cohort (slope difference 6.9 new listings/mo; 95% confidence interval [CI], −7.4 to 21.1) or among White (slope difference 2.6/mo; 95% CI, −3.0 to 8.1), Black (slope difference 2.2/mo; 95% CI, −4.3 to 8.7), or Hispanic (slope difference 0.2/mo; 95% CI, −4.5 to 4.9) patients. Conclusions In the 18 months after implementation, the ETC model was not associated with significant changes in new kidney transplant waitlist additions.

Clinical Journal of the American Society of NephrologyVol. 20(1)
University of Southern California (US), University of Washington (US), Cornell University (US), Philadelphia VA Medical Center (US), Weill Cornell Medicine (US), University of Pennsylvania (US)
Health Resources and Services Administration, Agency for Healthcare Research and Quality, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute on Minority Health and Health Disparities
Good health and well-being
Openalex Percentile: Top 13%
Renal Transplantation Outcomes and Treatments
2.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.