IDEAS home Printed from https://ideas.repec.org/a/bla/ijhplm/v34y2019i1pe354-e368.html
   My bibliography  Save this article

Does level of minority presence and hospital reimbursement policy influence hospital referral region health rankings in the United States

Author

Listed:
  • Hanadi Hamadi
  • Emma Apatu
  • Chung‐Ping Albert Loh
  • Hyett Farah
  • Kirk Walker
  • Aaron Spaulding

Abstract

The shift from a fee‐for‐service payment to a value‐based payment scheme, sparked by the Patient Protection and Affordable Care Act, introduced pay‐for‐performance programs such Hospital Value Based Purchasing. Previous inquiry has not considered how local community factors may affect hospital system performance. This study investigated the association between local health performance and minority population in a hospital referral region (HRR). The primary objective was to ascertain whether community diversity levels are significantly associated to local health performance guided by the ecological model. Secondary data analysis collected from the 2016 American Hospital Association, Area Health Resource File, Commonwealth Fund Scorecard on Local Health System Performance, and the Dartmouth Atlas HRR dataset was used. Our primary findings show that the more diverse a HRR is, the more likely it is to be associated with lower ranking for access and affordability prevention and treatment avoidable hospital use and cost as well as healthy lives. Total performance score was significantly related to a better health ranking on prevention and treatment, hospital use, and cost, as well as healthy lives. This research supports the assertion that communities, particularly minorities in those communities, affect local health care performance in a variety of ways.

Suggested Citation

  • Hanadi Hamadi & Emma Apatu & Chung‐Ping Albert Loh & Hyett Farah & Kirk Walker & Aaron Spaulding, 2019. "Does level of minority presence and hospital reimbursement policy influence hospital referral region health rankings in the United States," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(1), pages 354-368, January.
  • Handle: RePEc:bla:ijhplm:v:34:y:2019:i:1:p:e354-e368
    DOI: 10.1002/hpm.2654
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hpm.2654
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hpm.2654?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. van Ryn, Michelle & Burke, Jane, 2000. "The effect of patient race and socio-economic status on physicians' perceptions of patients," Social Science & Medicine, Elsevier, vol. 50(6), pages 813-828, March.
    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. Eric French & Elaine Kelly & Richard Cookson & Carol Propper & Miqdad Asaria & Rosalind Raine, 2016. "Socio‐Economic Inequalities in Health Care in England," Fiscal Studies, Institute for Fiscal Studies, vol. 37, pages 371-403, September.
    2. Anell, Anders & Dackehag , Margareta & Dietrichson, Jens, 2016. "Does Risk-Adjusted Payment Influence Primary Care Providers' Decision on Where to Set Up Practices?," Working Papers 2016:24, Lund University, Department of Economics.
    3. Katz, Arlene M. & Alegría, Margarita, 2009. "The clinical encounter as local moral world: Shifts of assumptions and transformation in relational context," Social Science & Medicine, Elsevier, vol. 68(7), pages 1238-1246, April.
    4. Felix C.H. Gottschalk, 2019. "Why prevent when it does not pay? Prevention when health services are credence goods," Health Economics, John Wiley & Sons, Ltd., vol. 28(5), pages 693-709, May.
    5. Fujishiro, Kaori & Xu, Jun & Gong, Fang, 2010. "What does "occupation" represent as an indicator of socioeconomic status?: Exploring occupational prestige and health," Social Science & Medicine, Elsevier, vol. 71(12), pages 2100-2107, December.
    6. Druckman, James N. & Levy, Jeremy & Sands, Natalie, 2021. "Bias in education disability accommodations," Economics of Education Review, Elsevier, vol. 85(C).
    7. Hernandez, Elaine M., 2013. "Provider and patient influences on the formation of socioeconomic health behavior disparities among pregnant women," Social Science & Medicine, Elsevier, vol. 82(C), pages 35-42.
    8. Melissa Herman, 2022. "Doctors’ Perceptions of Multiracial Adolescents," Social Sciences, MDPI, vol. 11(4), pages 1-19, March.
    9. Stevens, Lindsay M., 2015. "Planning parenthood: Health care providers' perspectives on pregnancy intention, readiness, and family planning," Social Science & Medicine, Elsevier, vol. 139(C), pages 44-52.
    10. Stefan Stremersch & Vardit Landsman & Sriram Venkataraman, 2013. "The Relationship Between DTCA, Drug Requests, and Prescriptions: Uncovering Variation in Specialty and Space," Marketing Science, INFORMS, vol. 32(1), pages 89-110, June.
    11. Franks, Peter & Muennig, Peter & Lubetkin, Erica & Jia, Haomiao, 2006. "The burden of disease associated with being African-American in the United States and the contribution of socio-economic status," Social Science & Medicine, Elsevier, vol. 62(10), pages 2469-2478, May.
    12. Sobotka, Tagart Cain & Stewart, Sheridan A., 2020. "Stereotyping and the opioid epidemic: A conjoint analysis," Social Science & Medicine, Elsevier, vol. 255(C).
    13. Ann-Charlotte Dalheim Englund & Ingela Rydström, 2012. "“I have to Turn Myself Inside Outâ€," Clinical Nursing Research, , vol. 21(2), pages 224-242, May.
    14. Trudy Owens & Nikos Evangelou & David Whynes, 2013. "Rationing and deprivation: disease-modifying therapies for multiple sclerosis in the United Kingdom," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(2), pages 315-321, April.
    15. Peek, Monica E. & Odoms-Young, Angela & Quinn, Michael T. & Gorawara-Bhat, Rita & Wilson, Shannon C. & Chin, Marshall H., 2010. "Race and shared decision-making: Perspectives of African-Americans with diabetes," Social Science & Medicine, Elsevier, vol. 71(1), pages 1-9, July.
    16. Balsa, Ana I. & McGuire, Thomas G., 2001. "Statistical discrimination in health care," Journal of Health Economics, Elsevier, vol. 20(6), pages 881-907, November.
    17. Lutfey, Karen E. & Campbell, Stephen M. & Renfrew, Megan R. & Marceau, Lisa D. & Roland, Martin & McKinlay, John B., 2008. "How are patient characteristics relevant for physicians' clinical decision making in diabetes? An analysis of qualitative results from a cross-national factorial experiment," Social Science & Medicine, Elsevier, vol. 67(9), pages 1391-1399, November.
    18. Amitabh Chandra & Tyler Hoppenfeld & Jonathan Skinner, 2016. "Are Black-White Mortality Rates Converging? Acute Myocardial Infarction in the United States, 1993–2010," NBER Chapters, in: Insights in the Economics of Aging, pages 205-222, National Bureau of Economic Research, Inc.
    19. Malat, Jennifer R. & van Ryn, Michelle & Purcell, David, 2006. "Race, socioeconomic status, and the perceived importance of positive self-presentation in health care," Social Science & Medicine, Elsevier, vol. 62(10), pages 2479-2488, May.
    20. Fiona Webster & Kathleen Rice & Joel Katz & Onil Bhattacharyya & Craig Dale & Ross Upshur, 2019. "An ethnography of chronic pain management in primary care: The social organization of physicians’ work in the midst of the opioid crisis," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-16, May.

    More about this item

    Statistics

    Access and download statistics

    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:bla:ijhplm:v:34:y:2019:i:1:p:e354-e368. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0749-6753 .

    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.