IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i23p12633-d691772.html
   My bibliography  Save this article

Analysis of Characteristics and Clinical Outcomes for Crisis Management during the Four Waves of the COVID-19 Pandemic

Author

Listed:
  • Watchara Amasiri

    (Faculty of Engineering, Thammasat University, Pathum Thani 12121, Thailand)

  • Kritsasith Warin

    (Faculty of Dentistry, Thammasat University, Pathum Thani 12121, Thailand)

  • Karicha Mairiang

    (Faculty of Medicine, Thammasat University, Pathum Thani 12121, Thailand)

  • Chatchai Mingmalairak

    (Faculty of Medicine, Thammasat University, Pathum Thani 12121, Thailand)

  • Wararit Panichkitkosolkul

    (Faculty of Science and Technology, Thammasat University, Pathum Thani 12121, Thailand)

  • Krittin Silanun

    (Faculty of Medicine, Thammasat University, Pathum Thani 12121, Thailand)

  • Rachasak Somyanonthanakul

    (Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani 12121, Thailand)

  • Thanaruk Theeramunkong

    (Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani 12121, Thailand
    Academy of Science, Royal Society of Thailand, Sanam Sueapa, Khet Dusit, Bangkok 10300, Thailand)

  • Surapon Nitikraipot

    (Thammasat University Hospital, Pathum Thani 12121, Thailand)

  • Siriwan Suebnukarn

    (Research and Innovation Division, Thammasat University, Pathum Thani 12121, Thailand)

Abstract

This study aims to analyze the patient characteristics and factors related to clinical outcomes in the crisis management of the COVID-19 pandemic in a field hospital. We conducted retrospective analysis of patient clinical data from March 2020 to August 2021 at the first university-based field hospital in Thailand. Multivariable logistic regression models were used to evaluate the factors associated with the field hospital discharge destination. Of a total of 3685 COVID-19 patients, 53.6% were women, with the median age of 30 years. General workers accounted for 97.5% of patients, while 2.5% were healthcare workers. Most of the patients were exposed to coronavirus from the community (84.6%). At the study end point, no patients had died, 97.7% had been discharged home, and 2.3% had been transferred to designated high-level hospitals due to their condition worsening. In multivariable logistic regression analysis, older patients with one or more underlying diseases who showed symptoms of COVID-19 and whose chest X-rays showed signs of pneumonia were in a worse condition than other patients. In conclusion, the university-based field hospital has the potential to fill acute gaps and prevent public agencies from being overwhelmed during crisis events.

Suggested Citation

  • Watchara Amasiri & Kritsasith Warin & Karicha Mairiang & Chatchai Mingmalairak & Wararit Panichkitkosolkul & Krittin Silanun & Rachasak Somyanonthanakul & Thanaruk Theeramunkong & Surapon Nitikraipot , 2021. "Analysis of Characteristics and Clinical Outcomes for Crisis Management during the Four Waves of the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(23), pages 1-9, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12633-:d:691772
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/23/12633/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/23/12633/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hemin Choi & Wonhyuk Cho & Min-Hyu Kim & Joon-Young Hur, 2020. "Public Health Emergency and Crisis Management: Case Study of SARS-CoV-2 Outbreak," IJERPH, MDPI, vol. 17(11), pages 1-14, June.
    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. Antonio Jesús Ramos-Morcillo & César Leal-Costa & José Enrique Moral-García & María Ruzafa-Martínez, 2020. "Experiences of Nursing Students during the Abrupt Change from Face-to-Face to e-Learning Education during the First Month of Confinement Due to COVID-19 in Spain," IJERPH, MDPI, vol. 17(15), pages 1-15, July.
    2. Lukas Zenk & Gerald Steiner & Miguel Pina e Cunha & Manfred D. Laubichler & Martin Bertau & Martin J. Kainz & Carlo Jäger & Eva S. Schernhammer, 2020. "Fast Response to Superspreading: Uncertainty and Complexity in the Context of COVID-19," IJERPH, MDPI, vol. 17(21), pages 1-13, October.
    3. Boram Sim & Eun Woo Nam, 2022. "The Impact of COVID-19 Pandemic on Outpatient Visits for All-Cause and Chronic Diseases in Korea: A Nationwide Population-Based Study," IJERPH, MDPI, vol. 19(9), pages 1-10, May.

    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:gam:jijerp:v:18:y:2021:i:23:p:12633-:d:691772. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.