IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v34y2025i3p376-391.html
   My bibliography  Save this article

Medical Resource Scarcity and Inequality in COVID‐19 Fatality Rates: Evidence From Hospitalized Patients in Wuhan, China

Author

Listed:
  • Dandan Zhang
  • Xiang‐Ming Zhang
  • Xiao Liu

Abstract

Wuhan, China, where SARS‐CoV‐2 was detected first, has been recorded as one of the epicenters with the highest COVID‐19 fatality rates worldwide. High COVID‐19 fatality rates may stem from severe medical resource scarcity, especially in the early stage of the pandemic outbreak. In the first few weeks of the COVID‐19 outbreak, Wuhan experienced the hardship of a severe “hospital run” period, when hospitals operated far beyond their maximum capacity and then soon transformed into “inclusive healthcare,” that is, every infectious person can access free medical treatment. Based on detailed administrative data of hospital admission and medical treatment for 1537 COVID‐19 patients, we investigate how the COVID‐19 fatality rates can be affected by the patient's socioeconomic status (SES) and differences in the effect between the two periods. Our estimation results show that low‐SES patients had higher fatality rates during the “hospital run” period. Differential opportunities for hospitalization do not drive this inequality in fatality rates; rather, they are driven by the medical treatment after hospital admission, namely reduced treatment intensity and limited access to specific medical treatment and medications for COVID‐19. When the government implemented the “inclusive healthcare” policy, severe medical resource scarcity was alleviated, and the inequality in fatality rates ceased to exist. These findings verify the existence of medical inequality among low‐SES people amid severe medical resource shortages and also highlight the importance of rapidly increasing hospital capacity and medical supply in reducing possible unequal treatment and tackling inequalities in medical outcomes, especially during a public health crisis.

Suggested Citation

  • Dandan Zhang & Xiang‐Ming Zhang & Xiao Liu, 2025. "Medical Resource Scarcity and Inequality in COVID‐19 Fatality Rates: Evidence From Hospitalized Patients in Wuhan, China," Health Economics, John Wiley & Sons, Ltd., vol. 34(3), pages 376-391, March.
  • Handle: RePEc:wly:hlthec:v:34:y:2025:i:3:p:376-391
    DOI: 10.1002/hec.4916
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.4916
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.4916?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. Laudicella, Mauro & Siciliani, Luigi & Cookson, Richard, 2012. "Waiting times and socioeconomic status: Evidence from England," Social Science & Medicine, Elsevier, vol. 74(9), pages 1331-1341.
    2. Nicolò Gozzi & Michele Tizzoni & Matteo Chinazzi & Leo Ferres & Alessandro Vespignani & Nicola Perra, 2021. "Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    3. Sharma, Anurag & Siciliani, Luigi & Harris, Anthony, 2013. "Waiting times and socioeconomic status: Does sample selection matter?," Economic Modelling, Elsevier, vol. 33(C), pages 659-667.
    4. Anne Case & Angus Deaton, 2021. "Mortality Rates by College Degree Before and During COVID-19," NBER Working Papers 29328, National Bureau of Economic Research, Inc.
    5. Luigi Siciliani & Rossella Verzulli, 2009. "Waiting times and socioeconomic status among elderly Europeans: evidence from SHARE," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1295-1306, November.
    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. Nicolai Fink Simonsen & Anne Sophie Oxholm & Søren Rud Kristensen & Luigi Siciliani, 2020. "What explains differences in waiting times for health care across socioeconomic status?," Health Economics, John Wiley & Sons, Ltd., vol. 29(12), pages 1764-1785, December.
    2. Siciliani, L., 2016. "Waiting Time Policies in the Health Sector," Seminar Briefing 001724, Office of Health Economics.
    3. Megha Swami & Hugh Gravelle & Anthony Scott & Jenny Williams, 2018. "Hours worked by general practitioners and waiting times for primary care," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1513-1532, October.
    4. Laia Bosque‐Mercader & Neus Carrilero & Anna García‐Altés & Guillem López‐Casasnovas & Luigi Siciliani, 2023. "Socioeconomic inequalities in waiting times for planned and cancer surgery: Evidence from Spain," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1181-1201, May.
    5. Martin, Steve & Siciliani, Luigi & Smith, Peter, 2020. "Socioeconomic inequalities in waiting times for primary care across ten OECD countries," Social Science & Medicine, Elsevier, vol. 263(C).
    6. Silvia Angerer & Christian Waibel & Harald Stummer, 2019. "Discrimination in Health Care: A Field Experiment on the Impact of Patients’ Socioeconomic Status on Access to Care," American Journal of Health Economics, MIT Press, vol. 5(4), pages 407-427, Fall.
    7. Mohammad Hajizadeh, 2018. "Does socioeconomic status affect lengthy wait time in Canada? Evidence from Canadian Community Health Surveys," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(3), pages 369-383, April.
    8. Landi, Stefano & Ivaldi, Enrico & Testi, Angela, 2018. "Socioeconomic status and waiting times for health services: An international literature review and evidence from the Italian National Health System," Health Policy, Elsevier, vol. 122(4), pages 334-351.
    9. Nikolova, Silviya & Sinko, Arthur & Sutton, Matt, 2015. "Do maximum waiting times guarantees change clinical priorities for elective treatment? Evidence from Scotland," Journal of Health Economics, Elsevier, vol. 41(C), pages 72-88.
    10. Oddvar Kaarboe & Fredrik Carlsen, 2014. "Waiting Times And Socioeconomic Status. Evidence From Norway," Health Economics, John Wiley & Sons, Ltd., vol. 23(1), pages 93-107, January.
    11. Karin Monstad & Lars Birger Engesæter & Birgitte Espehaug, 2014. "Waiting Time And Socioeconomic Status—An Individual‐Level Analysis," Health Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 446-461, April.
    12. Johar, Meliyanni & Jones, Glenn & Keane, Micheal P. & Savage, Elizabeth & Stavrunova, Olena, 2013. "Discrimination in a universal health system: Explaining socioeconomic waiting time gaps," Journal of Health Economics, Elsevier, vol. 32(1), pages 181-194.
    13. Wen, Jinglin & Santos, Rita & Siciliani, Luigi & Proctor, Andrew, 2024. "Socioeconomic inequalities in hospital access for prostate cancer before and after COVID-19," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    14. Gutacker, Nils & Siciliani, Luigi & Cookson, Richard, 2016. "Waiting time prioritisation: Evidence from England," Social Science & Medicine, Elsevier, vol. 159(C), pages 140-151.
    15. Sharma, Anurag & Siciliani, Luigi & Harris, Anthony, 2013. "Waiting times and socioeconomic status: Does sample selection matter?," Economic Modelling, Elsevier, vol. 33(C), pages 659-667.
    16. Monstad, Karin & Engesæter, Lars Birger & Espehaug, Birgitte, 2010. "Waiting time and socioeconomic status - an individual–level analysis," Working Papers in Economics 11/10, University of Bergen, Department of Economics.
    17. Moscelli, Giuseppe & Siciliani, Luigi & Gutacker, Nils & Cookson, Richard, 2018. "Socioeconomic inequality of access to healthcare: Does choice explain the gradient?," Journal of Health Economics, Elsevier, vol. 57(C), pages 290-314.
    18. Johar, Meliyanni & Jones, Glenn & Keane, Micheal P. & Savage, Elizabeth & Stavrunova, Olena, 2013. "Discrimination in a universal health system: Explaining socioeconomic waiting time gaps," Journal of Health Economics, Elsevier, vol. 32(1), pages 181-194.

    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:wly:hlthec:v:34:y:2025:i:3:p:376-391. 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://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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.