Other Titles
Rising Star Poster/Presentation
Abstract
Purpose Transplant is a life-saving surgery for patients diagnosed with many diseases that cause end-stage liver, kidney, and pancreas diseases. An essential outcome of a transplant is graft function post-transplant. Graft failure is a complication and poor outcome for patients who have received a transplant. The aim of this study is to investigate how the duration of time spent on the transplant list, insurance type, and patient race influence graft failure rates.
Methods A retrospective chart review of adult patients who received an abdominal transplant was conducted. The following variables were collected for each adult patient who received an abdominal transplant from 2019 through 2024: Graft Failure, Race, Insurance Type, and Days listed on the Transplant List.
Results: The majority, n=689 (58.14%), were male, and n=469 (41.86%) were female. Most of the participants (n = 631, 53.25%) identified as White, followed by Black (n = 451, 38.06%) and Asian (n = 83, 7.00%). Most participants (n = 813, 68.61%) reported private insurance and 29.87% (n=354) reported having public insurance. Linear regression analysis revealed significant transplant waiting list time predictions based on race and insurance status. Black, Asian, and the “Other Race” category all experienced longer wait time compared to White Individuals. Insurance Status: Public Insurance: Patients with public insurance experienced significantly longer waiting times compared to those with private insurance. Graft Failure status did not significantly predict transplant waiting time.
Conclusions The results of the data suggest there was a significant association between race and insurance type as it relates to time on the transplant list. However, the data did not show a significant association between time on the transplant list and graft failure. Additionally, data suggests that patients with public insurance experience longer times on the transplant list. Further Chi-Square testing revealed significant but weak associations between race and graft failure, insurance type and graft failure, and time on the transplant list and graft failure.
Implications This study seeks to identify potential disparities within the transplant continuum of care and add to the limited research in this area. Describing existing disparities across transplant programs may lead to a deeper body of research focused on improving disparities within the transplant discipline.
Notes
References:
1) Organ Procurement and Transplantation Network. (2022, July 14). Enhance transplant program performance monitoring. https://optn.transplant.hrsa.gov/policies-bylaws/enhance-transplant-program-performance-monitoring/
2) Ross-Driscoll, K., Adams, A., Caicedo, J., Gordon, E. J., Kirk, A. D., McElroy, L. M., Taber, D., & Patzer, R. (2024). Health disparity metrics for transplant centers: Theoretical and practical considerations. Transplantation, 108(9), 1823–1825. https://doi.org/10.1097/tp.0000000000004973
3) Sussell, J., Silverstein, A. R., Goutam, P., Incerti, D., Kee, R., Chen, C. X., Batty, D. S., Jansen, J. P., & Kasiske, B. L. (2020). The economic burden of kidney graft failure in the united states. American Journal of Transplantation, 20(5), 1323–1333. https://doi.org/10.1111/ajt.15750
Sigma Membership
Alpha
Type
Poster
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Other
Keywords:
Transplant Waitlist Times, Transplant Complications, Post-transplant Graft Function, Health Disparities, Social Disparities in Health
Recommended Citation
Siregar, Matthew and Carter, Gregory, "Access Disparity: Association of Race, Graft Failure, and Insurance Status on Transplant Wait Times" (2025). International Nursing Research Congress (INRC). 194.
https://www.sigmarepository.org/inrc/2025/posters_2025/194
Conference Name
36th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Seattle, Washington, USA
Conference Year
2025
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
Review Type
Invited Presentation
Acquisition
Proxy-submission
Access Disparity: Association of Race, Graft Failure, and Insurance Status on Transplant Wait Times
Seattle, Washington, USA
Purpose Transplant is a life-saving surgery for patients diagnosed with many diseases that cause end-stage liver, kidney, and pancreas diseases. An essential outcome of a transplant is graft function post-transplant. Graft failure is a complication and poor outcome for patients who have received a transplant. The aim of this study is to investigate how the duration of time spent on the transplant list, insurance type, and patient race influence graft failure rates.
Methods A retrospective chart review of adult patients who received an abdominal transplant was conducted. The following variables were collected for each adult patient who received an abdominal transplant from 2019 through 2024: Graft Failure, Race, Insurance Type, and Days listed on the Transplant List.
Results: The majority, n=689 (58.14%), were male, and n=469 (41.86%) were female. Most of the participants (n = 631, 53.25%) identified as White, followed by Black (n = 451, 38.06%) and Asian (n = 83, 7.00%). Most participants (n = 813, 68.61%) reported private insurance and 29.87% (n=354) reported having public insurance. Linear regression analysis revealed significant transplant waiting list time predictions based on race and insurance status. Black, Asian, and the “Other Race” category all experienced longer wait time compared to White Individuals. Insurance Status: Public Insurance: Patients with public insurance experienced significantly longer waiting times compared to those with private insurance. Graft Failure status did not significantly predict transplant waiting time.
Conclusions The results of the data suggest there was a significant association between race and insurance type as it relates to time on the transplant list. However, the data did not show a significant association between time on the transplant list and graft failure. Additionally, data suggests that patients with public insurance experience longer times on the transplant list. Further Chi-Square testing revealed significant but weak associations between race and graft failure, insurance type and graft failure, and time on the transplant list and graft failure.
Implications This study seeks to identify potential disparities within the transplant continuum of care and add to the limited research in this area. Describing existing disparities across transplant programs may lead to a deeper body of research focused on improving disparities within the transplant discipline.
Description
There is limited literature on health disparities within the transplant discipline. This initial study examines data from a large transplant program in the Midwest to understand these disparities and inform further research.