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.
【저자키워드】 COVID-19, Risk factors, Epidemiology, crisis management, field hospital, 【초록키워드】 coronavirus, Pneumonia, COVID-19 pandemic, hospital, underlying disease, Clinical outcome, older patient, Characteristics, management, healthcare, Patient, Community, Retrospective analysis, age, chest X-ray, women, patients, COVID-19 patients, Analysis, Factor, Clinical data, multivariable logistic regression, logistic regression model, worsening, hospital discharge, end point, symptoms of COVID-19, agency, MOST, Prevent, discharged home, evaluate, died, the patient, conducted, events, accounted, were used, the median, transferred, 【제목키워드】 clinical, crisis, Wave,