Background The coronavirus disease 2019 (COVID-19) pandemic has boosted medical students’ vulnerability to various problems. Given the stressful nature of medical disciplines, considerable attention must be paid to student support systems during pandemics. This study aimed to review the current literature regarding medical student support systems systematically. Methods We performed a systematic review of six databases and grey literature sources in addition to a hand search in the references of the articles on April 5, 2021. We included all studies about support for undergraduate medical students delivered in response to the COVID-19 pandemic. In conducting this review, we used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Results A total of 3646 articles were retrieved from the databases, and 16 additional papers were extracted from other sources. After removing duplicates, we screened 2434 titles and abstracts according to our criteria. Among them, 32 full-text articles were assessed for eligibility. Ultimately, 10 studies were included for review. We identified two major themes: (a) academic support and (b) mental health support. All of the included studies utilized online methods whether for transitioning from previous support systems or developing novel approaches. Students and faculty members seemed to be receptive to these new systems. Despite indicating outstanding program outcomes, most studies merely described the positive effects of the program rather than providing a precise evaluation. Conclusion There are several methods of supporting medical students who are experiencing unprecedented changes in their educational trajectory. Due to substantial differences in undergraduate medical education in different regions of the world, cultural and contextual-oriented support is indispensable for developing a safe learning environment. Future research should investigate the question of the extent to which online support can supersede in-person strategies.

Background: The coronavirus disease 2019 (COVID-19) pandemic has boosted medical students' vulnerability to various problems. Given the stressful nature of medical disciplines, considerable attention must be paid to student support systems during pandemics. This study aimed to review the current literature regarding medical student support systems systematically.Methods: We performed a systematic review of six databases and grey literature sources in addition to a hand search in the references of the articles in July 2020. We included all studies about support for undergraduate medical students delivered in response to the COVID-19 pandemic. In conducting this review, we used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.Results: A total of 5347 articles were retrieved from the databases, and 30 additional articles were extracted from other sources. After removing duplicates, we screened 3492 titles and abstracts according to our criteria. Among them, 51 full-text articles were assessed for eligibility, before seven studies were ultimately included for reviewal. We identified two major themes: (a) academic support and (b) mental health support.Conclusion: There are several methods of supporting medical students while they are experiencing unprecedented changes in their educational trajectory. This review showed that, given the novel circumstances after the outbreak of COVID-19, the use of online student support methods had received more attention. Implications for further developments in student support systems in the time of the present pandemic were also discussed.

Background Corona Virus Disease 2019 (COVID-19) presentations range from those similar to the common flu to severe pneumonia resulting in hospitalization with significant morbidity and/or mortality. In this study, we made an attempt to develop a predictive scoring model to improve the early detection of high risk COVID-19 patients by analyzing the clinical features and laboratory data available on admission. Methods We retrospectively included 480 consecutive adult patients, aged 21–95, who were admitted to Faghihi Teaching Hospital. Clinical and laboratory features were collected from the medical records and analyzed using multiple logistic regression analysis. The final data analysis was utilized to develop a simple scoring model for the early prediction of mortality in COVID-19 patients. The score given to each associated factor was based on the coefficients of the regression analyses. Results A novel mortality risk score (COVID-19 BURDEN) was derived, incorporating risk factors identified in this cohort. CRP (> 73.1 mg/L), O2 saturation variation (greater than 90%, 84–90%, and less than 84%), increased PT (> 16.2 s), diastolic blood pressure (≤ 75 mmHg), BUN (> 23 mg/dL), and raised LDH (> 731 U/L) were the features constituting the scoring system. The patients are triaged to the groups of low- (score < 4) and high-risk (score ≥ 4) groups. The area under the curve, sensitivity, and specificity for predicting mortality in patients with a score of ≥ 4 were 0.831, 78.12%, and 70.95%, respectively. Conclusions Using this scoring system in COVID-19 patients, the patients with a higher risk of mortality can be identified which will help to reduce hospital care costs and improve its quality and outcome.

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