Investigating the strengths and weaknesses of online education during COVID-19 pandemic from the perspective of professors and students of medical universities and proposing solutions: A qualitative study.

This study aimed to explore the strengths and weaknesses of e-learning during the COVID-19 pandemic from the perspective of its primary stakeholders, namely professors and students, and to provide practical solutions. Design is a qualitative study. We enrolled 22 faculty members and 58 students purposively. Research data were collected through a data collection checklist and via email and continued until the data were saturated. The qualitative content analyses were the basis of analysis in this study. Strengths were presented in 6 themes and 26 subthemes, weaknesses in 5 themes and 23 subthemes, and solutions were presented in 5 themes and 20 subthemes. Save money, time and energy; use modern software and educational technologies; and the ability to individualize education were among the strengths of e-learning. The most important weaknesses related to e-learning include infrastructure difficulties, problems related to the ability of professors and students to use educational systems. The most beneficial solutions offered included improving and upgrading the e-learning infrastructure, empowering professors and students to use educational systems. We concluded that using online teaching has many strengths as well as some weaknesses. Identifying these strengths and weaknesses can help policymakers plan better.

Clinical features and disease severity in an Iranian population of inpatients with COVID-19.

Coronavirus disease 2019 (COVID-19) can present with a variety of symptoms. Severity of the disease may be associated with several factors. Here, we review clinical features of COVID-19 inpatients with different severities. This cross-sectional study was performed in Imam Reza hospital, Mashhad, Iran, during February-April 2020. COVID-19 patients with typical computed tomography (CT) patterns and/or positive reverse-transcriptase polymerase chain reaction (RT-PCR) were included. The patients were classified into three groups of moderate, severe, and critical based on disease severity. Demographic, clinical, laboratory, and radiologic findings were collected and compared. P < 0.05 was considered statistically significant. Overall, 200 patients with mean age of 69.75 ± 6.39 years, of whom 82 (41%) were female were studied. Disease was severe/critical in the majority of patients (167, 83.5%). Disease severity was significantly associated with age, malignant comorbidities, dyspnea, nausea/vomiting, confusion, respiratory rate, pulse rate, O2 saturation, extent of CT involvement, serum C-reactive protein (CRP), pH, pO2, and aspartate transaminase (P < 0.05). Moreover, complications including shock, coagulopathy, acidosis, sepsis, acute respiratory distress syndrome (ARDS), intensive care unit (ICU) admission, and intubation were significantly higher in patients with higher severities (P < 0.05). O2 saturation, nausea/vomiting, and extent of lung CT involvement were independent predictors of severe/critical COVID-19 (OR 0.342, 45.93, and 25.48, respectively; P < 0.05). Our results indicate O2 saturation, nausea/vomiting, and extent of lung CT involvement as independent predictors of severe COVID-19 conditions. Serum CRP levels and pO2 were also considerably higher patients with higher severity and can be used along with other factors to predict severe disease in COVID-19 patients.