Symptom Clusters and Risk Factors of COVID-19 Patients

Aim and objectives: To clarify the types, composition, distribution characteristics and risk factors of symptom clusters experienced by discharged patients with COVID-19, to lay the foundation for effective symptom management. Background: Even when patients recover from COVID-19 patients, the virus can still cause many long-term effects or complications.Therefore, it is crucial to assess the symptoms and influencing factors of discharged patients with COVID-19. Design: Cross-sectional survey. Methods:The investigators used the Post Discharge Experience Assessment Questionnaire for COVID-19 Patients and the Post Discharge Symptom Experience Risk Factor Questionnaire for COVID-19 Patients were used.Stratified random sampling was used to conduct a cross-sectional survey of 384 patients in recovery from COVID-19.Exploratory factor analysis was used to determine the cluster of symptoms, and a binary logistic regression analysis was used to identify the risk factors associated with this symptom cluster.