IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v33y2024i7p509-518.html
   My bibliography  Save this article

Disparities in Liver Transplant Outcomes: Race/Ethnicity and Individual- and Neighborhood-Level Socioeconomic Status

Author

Listed:
  • Niharika Gummaraj Srinivas
  • Ye Chen
  • Angie Mae Rodday
  • Dami Ko

Abstract

Race/ethnicity and individual-level socioeconomic status (SES) may contribute to health disparities in liver transplant (LT) outcomes. The socioeconomic conditions of a neighborhood may either mitigate or exacerbate these health disparities. This retrospective study investigated the relationship between race/ethnicity, individual- and neighborhood-level SES, and LT outcomes, and whether neighborhood-level SES modified the relationship between individual factors and LT outcomes. Adult individuals who underwent LT between 2010 and 2019 ( n  = 55,688) were identified from the United Network for Organ Sharing database. Primary exposures were race/ethnicity, education, primary insurance type, and the Social Deprivation Index (SDI) scores. Education and primary insurance type were used as proxies for individual-level SES, while SDI scores were used as a proxy for neighborhood-level SES. The primary outcome was time to occurrence of graft failure or mortality. Cox proportional hazard models were used to examine the associations between the exposures and outcomes. LT recipients who were Black (hazard ratio [HR]: 1.27, p  

Suggested Citation

  • Niharika Gummaraj Srinivas & Ye Chen & Angie Mae Rodday & Dami Ko, 2024. "Disparities in Liver Transplant Outcomes: Race/Ethnicity and Individual- and Neighborhood-Level Socioeconomic Status," Clinical Nursing Research, , vol. 33(7), pages 509-518, September.
  • Handle: RePEc:sae:clnure:v:33:y:2024:i:7:p:509-518
    DOI: 10.1177/10547738241273128
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/10547738241273128
    Download Restriction: no

    File URL: https://libkey.io/10.1177/10547738241273128?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Geronimus, A.T. & Hicken, M. & Keene, D. & Bound, J., 2006. ""Weathering" and age patterns of allostatic load scores among blacks and whites in the United States," American Journal of Public Health, American Public Health Association, vol. 96(5), pages 826-833.
    2. Krieger, N. & Waterman, P. & Chen, J.T. & Soobader, M.-J. & Subramanian, S.V. & Carson, R., 2002. "Zip code caveat: Bias due to spatiotemporal mismatches between zip codes and US census-defined geographic areas - The public health disparities geocoding project," American Journal of Public Health, American Public Health Association, vol. 92(7), pages 1100-1102.
    3. Hamed Nilforoshan & Wenli Looi & Emma Pierson & Blanca Villanueva & Nic Fishman & Yiling Chen & John Sholar & Beth Redbird & David Grusky & Jure Leskovec, 2023. "Human mobility networks reveal increased segregation in large cities," Nature, Nature, vol. 624(7992), pages 586-592, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. David H Chae & Sean Clouston & Mark L Hatzenbuehler & Michael R Kramer & Hannah L F Cooper & Sacoby M Wilson & Seth I Stephens-Davidowitz & Robert S Gold & Bruce G Link, 2015. "Association between an Internet-Based Measure of Area Racism and Black Mortality," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
    2. Sirois, Catherine, 2020. "The strain of sons' incarceration on mothers’ health," Social Science & Medicine, Elsevier, vol. 264(C).
    3. Hill, Terrence D. & Ellison, Christopher G. & Burdette, Amy M. & Taylor, John & Friedman, Katherine L., 2016. "Dimensions of religious involvement and leukocyte telomere length," Social Science & Medicine, Elsevier, vol. 163(C), pages 168-175.
    4. Cassandra Robertson & Rourke O’Brien, 2018. "Health Endowment at Birth and Variation in Intergenerational Economic Mobility: Evidence From U.S. County Birth Cohorts," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 249-269, February.
    5. Mullahy, John, 2024. "Analyzing health outcomes measured as bounded counts," Journal of Health Economics, Elsevier, vol. 95(C).
    6. Brown, Laura J & Sear, Rebecca, 2020. "Do parenting, reproductive and health traits cluster together in distinct trajectories? Evidence from two UK cohort studies," OSF Preprints r8jvw, Center for Open Science.
    7. Matthews, Karen A. & Schwartz, Joseph E. & Cohen, Sheldon, 2011. "Indices of socioeconomic position across the life course as predictors of coronary calcification in black and white men and women: Coronary artery risk development in young adults study," Social Science & Medicine, Elsevier, vol. 73(5), pages 768-774, September.
    8. Touma, Fatima & Hummer, Robert A., 2022. "Race/ethnicity, immigrant generation, and physiological dysregulation among U.S. adults entering midlife," Social Science & Medicine, Elsevier, vol. 314(C).
    9. Lee, Shih-Yu & Hsu, Hui-Chin, 2012. "Stress and health-related well-being among mothers with a low birth weight infant: The role of sleep," Social Science & Medicine, Elsevier, vol. 74(7), pages 958-965.
    10. Thompson, Owen, 2011. "Racial disparities in the cognition-health relationship," Journal of Health Economics, Elsevier, vol. 30(2), pages 328-339, March.
    11. Baum II, Charles L. & Ruhm, Christopher J., 2009. "Age, socioeconomic status and obesity growth," Journal of Health Economics, Elsevier, vol. 28(3), pages 635-648, May.
    12. Ryan Masters & Robert Hummer & Daniel Powers & Audrey Beck & Shih-Fan Lin & Brian Finch, 2014. "Long-Term Trends in Adult Mortality for U.S. Blacks and Whites: An Examination of Period- and Cohort-Based Changes," Demography, Springer;Population Association of America (PAA), vol. 51(6), pages 2047-2073, December.
    13. Robert Kaestner & Jay A. Pearson & Danya Keene & Arline T. Geronimus, 2009. "Stress, Allostatic Load, and Health of Mexican Immigrants," Social Science Quarterly, Southwestern Social Science Association, vol. 90(5), pages 1089-1111, December.
    14. William Darity & Fenaba R. Addo & Imari Z. Smith, 2021. "A subaltern middle class: The case of the missing “Black bourgeoisie” in America," Contemporary Economic Policy, Western Economic Association International, vol. 39(3), pages 494-502, July.
    15. Carla Brailey & Brittany C. Slatton, 2024. "Centering Black Women’s Voices: Illuminating Systemic Racism in Maternal Healthcare Experiences," Societies, MDPI, vol. 14(5), pages 1-12, May.
    16. Danielle Shaked & Zachary B Millman & Danielle L Beatty Moody & William F Rosenberger & Hui Shao & Leslie I Katzel & Christos Davatzikos & Rao P Gullapalli & Stephen L Seliger & Guray Erus & Michele K, 2019. "Sociodemographic disparities in corticolimbic structures," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-21, May.
    17. Gruenewald, Tara L. & Karlamangla, Arun S. & Hu, Perry & Stein-Merkin, Sharon & Crandall, Carolyn & Koretz, Brandon & Seeman, Teresa E., 2012. "History of socioeconomic disadvantage and allostatic load in later life," Social Science & Medicine, Elsevier, vol. 74(1), pages 75-83.
    18. Arline Geronimus & John Bound & Annie Ro, 2014. "Residential Mobility Across Local Areas in the United States and the Geographic Distribution of the Healthy Population," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 777-809, June.
    19. Shawna Beese & Julie Postma & Janessa M. Graves, 2022. "Allostatic Load Measurement: A Systematic Review of Reviews, Database Inventory, and Considerations for Neighborhood Research," IJERPH, MDPI, vol. 19(24), pages 1-23, December.
    20. Alessio Russo & Wing Tung Chan & Giuseppe T. Cirella, 2021. "Estimating Air Pollution Removal and Monetary Value for Urban Green Infrastructure Strategies Using Web-Based Applications," Land, MDPI, vol. 10(8), pages 1-17, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:clnure:v:33:y:2024:i:7:p:509-518. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.