ABSTRACT
INTRODUCTION: The circumstances of the COVID-19 lockdown offered an opportunity to develop remote educational strategies in medical education. OBJECTIVES: To assess medical students' experiences with online e-learning (OeL) satisfaction, intellectual environment, and communication during the COVID-19 pandemic. METHODS: A cross-sectional study was conducted at the College of Medicine, University of Bisha, Saudi Arabia. A self-administered questionnaire (21 items) was used to evaluate OeL in three domains of satisfaction (nine items), intellectual environment (seven items), and communication (five items). Students from years one to six were invited to fill out the questionnaire form with five-point Likert scale responses. Descriptive statistics, one-way analysis of variance (ANOVA), and independent t-test were used to evaluate the association between variables. RESULTS: Out of 237 participants, 96.6% (158 male and 71 female) responded to the questionnaire. Most students (86.5%) preferred the blackboard for their e-learning. The mean total scores were 30.18 ± 6.9 out of 45 for satisfaction, 19.67 ± 5.4 out of 25 for communication 25.43 ± 5.1 out of 35 for the intellectual environment. Over 50% of the students rated moderate scores on satisfaction and intellectual environment domains. About 85% of the students rated moderate scores in the communication domain. Male students rated higher significant scores than female students for satisfaction (31.3 ± 6.3 vs 27.6 ± 7; P < .001) and intellectual environment (26.3 ± 4.32 vs 3.5 ± 6.1; P < .001). There were no significant differences in students' responses to the tested domains related to GPA level. Significantly higher levels of scores for satisfaction (33.3 ± 5.6 vs 28.8 ± 6.9; P < .001) and communication (21.2 ± 4.5 vs 18.9 ± 5.7; P = .019) were obtained by clerkship students than pre-clerkship. CONCLUSIONS: Medical students' experiences with e-learning are encouraging, which might be more effective with continuous training programs for students and tutors. Although OeL is an acceptable methodology, further studies are needed to analyze its impact on the target learning outcomes and students' academic achievement.
ABSTRACT
BACKGROUND: Although the coronavirus disease 2019 (COVID-19) pandemic continues to rage worldwide, clinical and laboratory studies of this disease have been limited in many countries. We investigated the epidemiologic, clinical, and laboratory findings of COVID-19 infected patients to identify the effective indicators correlated with the disease. METHODS: A retrospective study was conducted at King Abdullah Hospital in Bisha Province, Saudi Arabia, from March 20 to June 30, 2020. Patients of different age groups were confirmed as having COVID-19 infection using a real-time polymerase chain reaction. The demographic, clinical, and laboratory data of the patients were statistically analyzed. RESULTS: Of the 132 patients, 85 were male and 47 were female, with a mean age of 50.9 years (SD±16.7). The patients were elderly (n = 29) and adults (n = 103). Of these, 54 (40.9%) had comorbidities, (25%) were admitted to the intensive care unit (ICU), and 12 (9.1%) died. On admission, the main clinical manifestations were fever (84.1%), cough (64.4%), shortness of breath (25%), chest pain (20.5%), and fatigue (18.2%). In all patients, increased neutrophils and decreased lymphocytes were observed. Patients' lactate dehydrogenase (LDH) was elevated. C-reactive protein (CRP) was elevated in 48.5%, D-dimer in 43.2%, and the erythrocyte sedimentation rate (ESR) in 40.9% of patients. The elderly showed higher neutrophil (p = 0.011) and lower lymphocyte (p = 0.009) counts than adults. Glucose, creatine kinase-MB, LDH, bilirubin, D-dimer, and ESR were significantly higher in the elderly than in the adults. The COVID-19 death group had a higher leucocyte count (p = 0.036), and higher urea (p = 0.029) and potassium (p = 0.022) than the recovered group but had a lower hemoglobin concentration (p = 0.018). A significant association was determined between COVID-19 death and the presence of cardiovascular disease (χ2(1) = 16.297, p<0.001), hypertension (χ2(1) = 12.034, p = 0.001), renal failure (χ2(1) = 3.843, p = 0. 05), old age (t (130) = 4.9, p <0.001), and ICU admission (χ2(1) = 17.6 (1), p<0.001). CONCLUSIONS: Investigating some of the laboratory and clinical parameters could help assess the disease progression, risk of mortality, and follow up patients who could progress to a fatal condition.