Socioeconomic disparities in kidney transplant access for patients with end-stage kidney disease within the All of Us Research Program

Author:

Wang Jiayuan1234,Cho Kellie C1,Tantisattamo Ekamol156ORCID

Affiliation:

1. American Heart Association Comprehensive Hypertension Center at the University of California Irvine Medical Center, Division of Nephrology, Hypertension and Kidney Transplantation, Department of Medicine, University of California Irvine School of Medicine , Orange, CA 92868, United States

2. Donald Bren School of Information and Computer Sciences, University of California Irvine , Irvine, CA 92697, United States

3. Department of Clinical Pharmacy Practice, University of California Irvine , Irvine, CA 92697, United States

4. University of California Irvine DREAM Center, University of California Irvine , Irvine, CA 92697, United States

5. Nephrology Section, Department of Medicine, Tibor Rubin Veterans Affairs Medical Center, Veterans Affairs Long Beach Healthcare System , Long Beach, CA 90822, United States

6. Multi-Organ Transplant Center, Section of Nephrology, Department of Internal Medicine, William Beaumont Hospital, Oakland University William Beaumont School of Medicine , Royal Oak, MI 48073, United States

Abstract

Abstract Objectives Disparity in kidney transplant access has been demonstrated by a disproportionately low rate of kidney transplantation in socioeconomically disadvantaged patients. However, the information is not from national representative populations with end-stage kidney disease (ESKD). We aim to examine whether socioeconomic disparity for kidney transplant access exists by utilizing data from the All of Us Research Program. Materials and Methods We analyzed data of adult ESKD patients using the All of Us Researcher Workbench. The association of socioeconomic data including types of health insurance, levels of education, and household incomes with kidney transplant access was evaluated by multivariable logistic regression analysis adjusted by baseline demographic, medical comorbidities, and behavioral information. Results Among 4078 adults with ESKD, mean diagnosis age was 54 and 51.64% were male. The majority had Medicare (39.6%), were non-graduate college (75.79%), and earned $10 000-24 999 annual income (20.16%). After adjusting for potential confounders, insurance status emerged as a significant predictor of kidney transplant access. Individuals covered by Medicaid (adjusted odds ratio [AOR] 0.45; 95% confidence interval [CI], 0.35-0.58; P-value < .001) or uninsured (AOR 0.21; 95% CI, 0.12-0.37; P-value < .001) exhibited lower odds of transplantation compared to those with private insurance. Discussion/Conclusion Our findings reveal the influence of insurance status and socioeconomic factors on access to kidney transplantation among ESKD patients. Addressing these disparities through expanded insurance coverage and improved healthcare access is vital for promoting equitable treatment and enhancing health outcomes in vulnerable populations.

Publisher

Oxford University Press (OUP)

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