Differential effects of Acuity Circles policy on waitlist outcomes in hepatocellular carcinoma transplantation by region, insurance status, and ethnicity.

S Sungsu Park (Daegu Catholic University of Medicine, Daegu, South Korea) T Tehyun Phillip Eom (CHA Bundang Medical Center, CHA University, Seongnam-si, South Korea) J Junho Song (2Penn State College of Medicine, Hershey, United States) H Hyungjune KU (Kosin University College of Medicine, Busan, South Korea) S Sunghan Kim (CHA Bundang Medical Center, CHA University, Seongnam-si, South Korea) C Changmin Jo (Chung-Ang University College of Medicine, Seoul, South Korea) M Minkwan Kim S Sang-Soo Lee H Hye Won Kim (Department of Chemistry, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea) H Hyung Hwan Moon (Kosin University Gospel Hospital, Busan, South Korea)

Abstract

e23251 Background: The Acuity Circles (AC) policy replaced Donation Service Areas with distance-based sharing to mitigate geographic inequities in Feb 2020. However, concerns persisted that the logistics of broader sharing might disproportionately disadvantage patients with lower socioeconomic status (SES). We investigated whether the intended geographic equalization inadvertently exacerbated disparities among racial minorities and insurance groups. Methods: Using UNOS/OPTN data, we retrospectively analyzed a total of 24,464 adult hepatocellular (HCC) candidates listed during symmetric 21-month periods before and after AC implementation. Time to deceased donor liver transplantation (DDLT) was assessed using adjusted restricted mean failure time (RMFT). Difference-in-differences models were used to estimate differential policy effects across race/ethnicity and insurance status. Results: The policy successfully smoothed geographic extremes: wait times in New York/eastern VT decreased by 58.1 days (95% CI [-77.1, -39.1]; p < 0.001), while those in the Southeast increased by 71.5 days (95% CI [54.2, 88.9]; p < 0.001). Contrary to SES concerns, the policy acted as an economic equalizer, narrowing the waitlist gap for public insurance holders by 12.3 days (95% CI [-16.1, -8.6]; p < 0.001).However, racial impact was heterogeneous. While Asian candidates saw a reduced disparity of 31.8 days (95% CI [-49.8, -13.9]; p < 0.001), the pre-existing gap for Hispanic patients widened by an additional 18.8 days post-policy (95% CI [11.9, 25.8]; p < 0.001). Notably, Texas/Oklahoma also experienced a significant waitlist time deterioration of 34.7 days (95% CI [23.2, 46.2]; p < 0.001). Conclusions: AC succeeded in bridging geographic and economic divides, benefiting public insurance and Asian candidates. However, it paradoxically worsened outcomes for Hispanic candidates. This suggests that heterogeneous geographic shifts - specifically waitlist deterioration in regions with high Hispanic density such as Texas/Oklahoma - may have structurally transferred disadvantages to specific racial groups. Future policy recalibrations must address these geo-racial interactions to ensure equitable access.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (10)

S

Sungsu Park

Daegu Catholic University of Medicine, Daegu, South Korea

T

Tehyun Phillip Eom

CHA Bundang Medical Center, CHA University, Seongnam-si, South Korea

J

Junho Song

2Penn State College of Medicine, Hershey, United States

H

Hyungjune KU

Kosin University College of Medicine, Busan, South Korea

S

Sunghan Kim

CHA Bundang Medical Center, CHA University, Seongnam-si, South Korea

C

Changmin Jo

Chung-Ang University College of Medicine, Seoul, South Korea

M

Minkwan Kim

S

Sang-Soo Lee

H

Hye Won Kim

Department of Chemistry, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea

H

Hyung Hwan Moon

Kosin University Gospel Hospital, Busan, South Korea