Willingness of medical students to work on the COVID-19 frontline during the pandemic in China: A nationwide population-based cross-sectional study.

Abstract

Background: The World Health Organization declared that coronavirus disease 2019 (COVID-19) constitutes an international public health emergency, which has strained health resources. In this study, we aimed to understand medical students' willingness to join the workforce fighting against the COVID-19 pandemic and identify factors associated with their decisions.

Methods: We conducted a nationwide cross-sectional study using the Wen-Juan-Xing platform and a pre-designed questionnaire from 23 March to 19 April 2021. We conducted logistic regression analyses to identify the determinants associated with the willingness.

Results: Among the 5022 medical students, the majority (n = 4289, 85.40%) expressed willingness to work on the COVID-19 frontline. Logistic regression indicated that medical students' willingness to work on the COVID-19 frontline in China was associated with gender, region, reason for choosing medicine, having medical workers in the family, students whose family members, relatives or friends experienced COVID-19, and professional attitude. Females (odds ratio (OR) = 1.305; 95% confidence interval (CI) = 1.100-1.549; P = 0.0023), medical students from urban areas (OR = 1.295; 95% CI = 1.089-1.539; P = 0.0034), medical students whose choice of a medical career was their desire (OR = 1.579; 95% CI = 1.290-1.933; P < 0.0001), medical students whose parents or relatives are medical workers (OR = 1.266; 95% CI = 1.066-1.505; P = 0.0073), medical students whose family members, relatives, or friends have never been infected with COVID-19 (OR = 4.567; 95% CI = 3.002-6.947; P < 0.0001), and medical students with undisturbed of professional attitudes (OR = 4.280; 95% CI = 3.241-5.654; P < 0.0001) showed increased willingness to work on the COVID-19 frontline compared with their counterparts.

Conclusions: Medical students demonstrated a strong willingness to contribute to COVID-19 work during the pandemic in China. The findings may provide valuable information for emergency management so that policymakers can maintain sufficient health resources and provide quality health care in similar health emergencies in the future.