Introducing a mobile learning model in medical education during COVID-19; a critical review.

Introduction: Mobile learning is one of the innovative teaching techniques that help medical students gain knowledge and skills. One of the factors that expanded the use of this strategy was the COVID-19 pandemic. However, the educational pedagogy of such technology has been neglected. This article aimed to critically review available mobile learning models in medical education to suggest a comprehensive model in the field of mobile learning. Methods: We conducted this critical review based on the five steps of the Carnwell and Daly method. For a comprehensive systematic search from 2000 to April 2021, the following keywords were used: Personal Digital Assistant, m learning, Mobile learning, Ubiquitous learning, U learning, medical students, and medical education. 3176 studies in PubMed, Scopus, ERIC, Magiran, and Web of Science were identified. In total, 8 articles entered the study. Results: Eight models of mobile learning in medical education were identified. The key features of each model were extracted and integrated into the new model for the successful design and implementation of mobile learning. This model includes three main elements of mobile learning: 1-stakeholders, 2-interaction, and 3-technology, which are influenced by external factors including Mobiquette, legitimacy, and awareness. Conclusion: The results of this study are an important contribution to the knowledge collection in mobile learning in medical education. We introduced a comprehensive model of mobile learning including specific characteristics of strategies in the context of medical education.

Corona virus disease 2019-associated Stevens-Johnson syndrome: a case report.

BACKGROUND: To report Stevens-Johnson syndrome (SJS) in a patient with acute pneumonia secondary to SARS-CoV-2 infection. CASE PRESENTATION: A 45-years-old woman with a diagnosis of acute pneumonia secondary to SARS-CoV-2 infection who had received azithromycin and naproxen. Three days after starting the medication, she appeared ill and developed ocular discomfort, photophobia, dysuria, and macular rashes on the trunk and the extremities. On ophthalmological examination, a total epithelial defect was seen in both eyes. According to the examination, Stevens-Johnson syndrome was diagnosed and the patient was admitted to receive systemic and ocular support and medical care. The patient's condition improved during the 3 weeks and recovered from both COVID-19 and SJS life-threatening complications but ocular complications, including the destruction of the meibomian glands, irregularity of the eyelid margin, and corneal scarring remained for the patient. CONCLUSIONS: Although, it is not clear whether the cause of Stevens-Johnson syndrome in COVID-19 patients is the virus itself or whether the use of medication, but patients with COVID-19, especially patients receiving medication, should be screened for symptoms of Stevens-Johnson syndrome.

Correlation Between Low-Dose Chest Computed Tomography and RT-PCR Results for the Diagnosis of COVID-19: A Report of 27,824 Cases in Tehran, Iran.

RATIONALE AND OBJECTIVES: Real-time polymerase chain reaction (RT-PCR) remains the gold standard for confirmation of Coronavirus Disease 2019 (COVID-19) despite having many disadvantages. Here, we investigated the diagnostic performance of chest computed tomography (CT) as an alternative to RT-PCR in patients with clinical suspicion of COVID-19 infection. METHODS: In this descriptive cross-sectional study, 27,824 patients with clinical suspicion of COVID-19 infection who underwent unenhanced low-dose chest CT from 20 February, 2020 to 21 May, 2020 were evaluated. Patients were recruited from seven specifically designated hospitals for patients with COVID-19 infection affiliated to Shahid Beheshti University of Medical Sciences. In each hospital, images were interpreted by two independent radiologists. CT findings were considered as positive/negative for COVID-19 infection based on RSNA diagnostic criteria. Then, the correlation between the number of daily positive chest CT scans and number of daily PCR-confirmed cases and COVID-19-related deaths in Tehran province during this three-month period was assessed. The trends of admission rate and patients with positive CT scans were also evaluated. RESULTS: A strong positive correlation between the numbers of daily positive CT scans and daily PCR-confirmed COVID-19 cases (r = 0.913, p < 0.001) was observed. Furthermore, in hospitals located in regions with a lower socioeconomic status, the admission rate and number of positive cases within this three-month period was higher as compared to other hospitals. CONCLUSION: Low-dose chest CT is a safe, rapid and reliable alternative to RT-PCR for the diagnosis of COVID-19 in high-prevalence regions. In addition, our study provides further evidence for considering patients' socioeconomic status as an important risk factor for COVID-19.