Early Effects of the End-Stage Renal Disease Treatment Choices Model on Kidney Transplant Waitlist Additions
Vishnu S. Potluri, Yuvaram N.V. Reddy, Sri Lekha Tummalapalli, Chen Peng, Qian Huang, Yueming Zhao, Genevieve P. Kanter, Jingsan Zhu, Joshua M. Liao, Amol Navathe
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Abstract
odel in 2021, the largest mandatory trial of payment incentives in kidney disease, which randomized 30% of healthcare 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 01/01/2017 and 06/30/2022. 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 post-ETC Model implementation (implementation date: 01/01/2021) between the two arms, while accounting for differential changes during the COVID-19 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: Following implementation of the ETC Model, there were 5,550 waitlist additions in the intervention and 11,332 additions in the control arm (versus 14,023 and 30,610 additions before the ETC Model). Post-ETC, there were no significant differences in kidney transplant waitlist additions between the two arms for the overall cohort (slope difference 6.9 new listings/month, 95% CI: -7.4 to 21.1) or among either White (slope difference 2.6/month, 95% CI -3.0 to 8.1), Black (slope difference 2.2/month, 95% CI: -4.3 to 8.7), or Hispanic (slope difference 0.2/month, 95% CI: -4.5 to 4.9) patients. Conclusions: In the 18 months following implementation, the ETC Model was not associated with significant changes in new kidney transplant waitlist additions. Copyright © 2024 by the American Society of Nephrology...
终末期肾病治疗选择模型对肾移植候选名单新增患者的早期影响
该试验将 30% 的医疗市场随机分配给经济奖励/惩罚,以提高肾移植和家庭透析的使用率。本研究探讨了 ETC 支付调整对美国肾移植等待者增加的影响。方法:利用器官获取和移植网络登记处的数据,我们研究了 2017 年 1 月 1 日至 2022 年 6 月 30 日期间肾移植等待名单的趋势。参与者被分为 ETC 模型的干预组和对照组。我们采用间断时间序列设计,比较了 ETC 模式实施后(实施日期:2021 年 1 月 1 日)两组之间候选名单新增人数的斜率变化,同时考虑了 COVID-19 大流行期间的不同变化。结果按种族和民族(白人、黑人、西班牙裔和其他)进行了分层。为了检查两个 ETC 治疗组之间的平衡情况,我们使用美国肾脏数据系统和医疗保险数据进行了补充分析。结果:ETC 模式实施后,干预组和对照组分别增加了 5550 人和 11332 人(ETC 模式实施前分别增加了 14023 人和 30610 人)。ETC 结束后,在整个队列(斜率差异为 6.9 个新病例/月,95% CI:-7.4 到 21.1)或白人(斜率差异为 6.9 个新病例/月,95% CI:-7.4 到 21.1)中,两组之间的肾移植候选名单新增人数没有显著差异。1)或白人患者(斜率差异为 2.6/月,95% CI -3.0-8.1)、黑人患者(斜率差异为 2.2/月,95% CI:-4.3-8.7)或西班牙裔患者(斜率差异为 0.2/月,95% CI:-4.5-4.9)之间均无显著差异。结论:在实施后的 18 个月内,ETC 模型与肾移植候选名单上新增患者的显著变化无关。版权所有 © 2024 年美国肾脏病学会...
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