IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/558.html
   My bibliography  Save this paper

The Role of Institutional Trust in Medical Care Seeking during the COVID-19 Pandemic

Author

Listed:
  • Wong, Li Ping
  • Wu, Qunhong
  • Hao, Yanhua
  • Chen, Xi
  • Chen, Zhuo
  • Alias, Haridah
  • Shen, Mingwang
  • Hu, Jingcen
  • Duan, Shiwei
  • Zhang, Jinjie
  • Han, Liyuan

Abstract

This paper investigates the associations between institution trust and public response to the COVID-19 outbreak. An Internet-based, cross-sectional survey was administered on January 29, 2020 to the epicenter Hubei province, China. A total of 4,393 adults who ≥18 years of age and residing or working in the province of Hubei were included in the study. The majority of the participants expressed a higher level of trust in the information and preventive instructions provided by the central government than by the local government. Being under quarantine (adjusted odds ratio (OR) = 2.35, 95% confidence interval (CI) 1.80–3.08) and having a high institutional trust score (OR = 2.23, 95% CI 1.96–2.53) were both strong and significant determinants of higher preventive behavior scores. The majority of study participants (85.7%, n = 3,640) reported that they would seek hospital treatment if they suspected themselves to have been infected with COVID-19. Few of the participants from Wuhan (16.6%, n = 475) and those participants who were under quarantine (13.8%, n = 550) expressed an unwillingness to seek hospital treatment. Institutional trust is an important factor influencing adequate preventive behavior and seeking formal medical care during an outbreak.

Suggested Citation

  • Wong, Li Ping & Wu, Qunhong & Hao, Yanhua & Chen, Xi & Chen, Zhuo & Alias, Haridah & Shen, Mingwang & Hu, Jingcen & Duan, Shiwei & Zhang, Jinjie & Han, Liyuan, 2020. "The Role of Institutional Trust in Medical Care Seeking during the COVID-19 Pandemic," GLO Discussion Paper Series 558, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:558
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/217496/1/GLO-DP-0558.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vaughan, E. & Tinker, T., 2009. "Effective health risk communication about pandemic influenza for vulnerable populations," American Journal of Public Health, American Public Health Association, vol. 99(S2), pages 324-332.
    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. Wei Zhong, 2017. "Simulating influenza pandemic dynamics with public risk communication and individual responsive behavior," Computational and Mathematical Organization Theory, Springer, vol. 23(4), pages 475-495, December.
    2. Cynthia G Jardine & Franziska U Boerner & Amanda D Boyd & S Michelle Driedger, 2015. "The More the Better? A Comparison of the Information Sources Used by the Public during Two Infectious Disease Outbreaks," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-18, October.
    3. Abdulrahman Obaid AI-Youbi & Abdulmonem Al-Hayani & Hisham J. Bardesi & Mohammed Basheri & Miltiadis D. Lytras & Naif Radi Aljohani, 2020. "The King Abdulaziz University (KAU) Pandemic Framework: A Methodological Approach to Leverage Social Media for the Sustainable Management of Higher Education in Crisis," Sustainability, MDPI, Open Access Journal, vol. 12(11), pages 1-21, May.
    4. Hye‐Jin Paek & Thomas Hove, 2019. "Mediating and Moderating Roles of Trust in Government in Effective Risk Rumor Management: A Test Case of Radiation‐Contaminated Seafood in South Korea," Risk Analysis, John Wiley & Sons, vol. 39(12), pages 2653-2667, December.
    5. Zerfass, Ansgar & Linke, Anne, 2012. "Social Media in der Unternehmenskommunikation: Strategien, Kompetenzen, Governance," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 66(1), pages 49-63.
    6. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    7. Janssen, Aljoscha & Shapiro, Matthew, 2020. "Does Precise Case Information Limit Precautionary Behavior? Evidence from COVID-19 in Singapore," Working Paper Series 1344, Research Institute of Industrial Economics.
    8. Betts, Alexander & Easton-Calabria, Evan & Pincock, Kate, 2021. "Localising Public Health: Refugee-led organisations as first and last responders in COVID-19," World Development, Elsevier, vol. 139(C).
    9. Wei Zhong, 0. "Simulating influenza pandemic dynamics with public risk communication and individual responsive behavior," Computational and Mathematical Organization Theory, Springer, vol. 0, pages 1-21.
    10. Massey, Peter D. & Miller, Adrian & Saggers, Sherry & Durrheim, David N. & Speare, Richard & Taylor, Kylie & Pearce, Glenn & Odo, Travis & Broome, Jennifer & Judd, Jenni & Kelly, Jenny & Blackley, Mag, 2011. "Australian Aboriginal and Torres Strait Islander communities and the development of pandemic influenza containment strategies: Community voices and community control," Health Policy, Elsevier, vol. 103(2), pages 184-190.
    11. Suzanne Sheppard‐Law & Marilyn Cruickshank & Deborah Debono, 2021. "Mapping diversity and demographic‐based changes to a pediatric population attending a specialist tertiary hospital: a retrospective review," Journal of Clinical Nursing, John Wiley & Sons, vol. 30(3-4), pages 466-474, February.
    12. Louise Cummings, 2012. "The public health scientist as informal logician," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(3), pages 649-650, June.
    13. Bosancianu, Constantin Manuel & Dionne, Kim Yi & Hilbig, Hanno & Humphreys, Macartan & KC, Sampada & Lieber, Nils & Scacco, Alex, 2020. "Political and Social Correlates of Covid-19 Mortality," SocArXiv ub3zd, Center for Open Science.
    14. Wei Zhong & Yushim Kim & Megan Jehn, 2013. "Modeling dynamics of an influenza pandemic with heterogeneous coping behaviors: case study of a 2009 H1N1 outbreak in Arizona," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 622-645, December.
    15. Erika Župerkienė & Ligita Šimanskienė & Daiva Labanauskaitė & Julija Melnikova & Vida Davidavičienė, 2021. "The COVID-19 Pandemic and Resilience of SME’s in Lithuania," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(3), pages 53-65, March.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:glodps:558. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - Leibniz Information Centre for Economics). General contact details of provider: https://edirc.repec.org/data/glabode.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.