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

Watchara Amasiri, Kritsasith Warin, Karicha Mairiang, Chatchai Mingmalairak, Wararit Panichkitkosolkul, Krittin Silanun, Rachasak Somyanonthanakul, Thanaruk Theeramunkong, Surapon Nitikraipot and Siriwan Suebnukarn
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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
Surapon Nitikraipot: Thammasat University Hospital, Pathum Thani 12121, Thailand
Siriwan Suebnukarn: Research and Innovation Division, Thammasat University, Pathum Thani 12121, Thailand

IJERPH, 2021, vol. 18, issue 23, 1-9

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.

Keywords: COVID-19; field hospital; epidemiology; risk factors; crisis management (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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