ABSTRACT
"Objectives: Assess the effectiveness of social media implementation of an Accreditation Council for Graduate Medical Education (ACGME) milestone-based curriculum during the spring 2020 U.S. COVID-19 surge. The hypothesis is that pre-interns will report improvements in PP regarding multiple ACGME milestone topics. Background(s): Transitioning to residency involves translation of academic knowledge into clinical acumen, and is complicated by variable medical school experiences. The COVID-19 pandemic presented a new challenge by displacing students from clinical rotations. Virtual educational modalities such as the Slack Intern Curriculum (SIC) have increased newly-matched ""pre-intern"" perceived preparedness (PP) for residency in prior years, but the SIC had never been implemented or evaluated in a pandemic with disrupted medical education. Method(s): The SIC was constructed using topics from 8 ACGME milestones in emergency medicine (EM), incorporated into 8 clinical scenarios. Residency recruitment occurred via national EM listservs;of 276 programs, 27 enrolled. Curricular implementation was on Slack workspaces. Cases included stimulus images and clinical questions. Ample discussion time, answers, and resources were provided. Trends in PP were calculated with descriptive statistics and the Wilcoxon Rank Sum test. Result(s): Of 311 total pre-interns contacted, 289 (92.9%) completed a presurvey in April/May 2020, and 240 (77.2%) completed a post-survey in June/July 2020, for an 83.9% follow-through rate. Pre-interns reported statistically significant increases in PP both overall and regarding 14 of 21 milestones. See Table 1. Conclusion(s): Amidst the educational disruption of the COVID-19 pandemic, pre-interns participating in the SIC reported statistically significant increases in PP. Limitations include absence of control or pre-pandemic data. Future directions include adapting the SIC to other specialties' ACGME milestones for generalizability across all fields. (Table Presented) ."
ABSTRACT
Objective: To evaluate the prevalence and diagnostic significance of anosmia and ageusia among COVID-19 positive patients of Karachi, Pakistan. Study Design: Cross-sectional study. Place and Duration of Study: Dr Ruth K. M. Pfau Civil Hospital, (Dow University of Health Sciences), Karachi Pakistan, from Jan 2021 to Feb 2021. Methodology: The data were collected prospectively from 265 COVID-19 positive patients. Some patients were interviewed over the telephone, while for patient's ease, an online Google form was also formed, facilitating the online data collection. The patient's demographics, comorbidities, allergies, and COVID-19 associated characteristics were inquired. The statistical analysis was performed on SPSS version 23. Results: The observed frequency of anosmia and ageusia in COVID-19 patients was 49.1% & 43.8% respectively. The median time to recovery was 8-8.5 days (median) for both symptoms. We found no significant difference for gender, BMI, marital status, residential area, comorbidities and reason for long-standing breathing difficulties between patients with or without both anosmia and ageusia (p>0.05). Furthermore, most of the cigarette smokers reported none of the two symptoms (anosmia and ageusia), 24% and 25.2% of COVID-19 positive cases with smoking history were presented without anosmia and ageusia, respectively (p<0.05). Conclusion: Loss of sense of smell and taste was reported in almost half of the studied population infected by the SARS-CoV-2 virus. Therefore, screening for anosmia and ageusia must be considered while COVID-19 suspicion as an important diagnostic clue. © 2021, Army Medical College. All rights reserved.
ABSTRACT
Since the expansion of the COVID-19, almost all countries have advocated their residents to put on facemasks and adopt social distance and hand cleanliness. Due to the complicated attitudes in the settings of real life, besides several socio-behavioral and cultural factors, it is not easy to give a convincing situation for the general public that wearing facemasks is useful and effective. Therefore, facemasks wearing has not been widely embraced by many residents. However, the usage of facemasks has offered the considerable potential to filter or block the transmission of respiratory viruses including COVID-19. In this paper, a model of deep convolutional neural network (CNN) for facemask wearing detection is proposed to control covid-19 transmission. This proposed deep learning model includes two main processes;feature extraction and classification. The CNN classifier provides 99.57% of accuracy for the utilized Real-World Masked Face Dataset (RMFD). © 2022 IEEE.
ABSTRACT
Learning Objectives: Assess the effectiveness of social media implementation of an Accreditation Council for Graduate Medical Education (ACGME) milestone-based curriculum during the spring 2020 US COVID-19 surge. The hypothesis is that pre-interns will report improvements in PP regarding multiple ACGME milestone topics. Background: Transitioning to residency involves translation of academic knowledge into clinical acumen, and is complicated by variable medical school experiences. The COVID-19 pandemic presented a new challenge by displacing students from clinical rotations. Virtual educational modalities such as the Slack Intern Curriculum (SIC) have increased newly-matched “pre-intern” perceived preparedness (PP) for residency in prior years, but the SIC had never been implemented or evaluated in a pandemic with disrupted medical education. Objective: Assess the effectiveness of social media implementation of an Accreditation Council for Graduate Medical Education (ACGME) milestone-based curriculum during the spring 2020 U.S. COVID-19 surge. The hypothesis is that pre-interns will report improvements in PP regarding multiple ACGME milestone topics. Methods: The SIC was constructed using topics from 8 ACGME milestones in emergency medicine (EM), incorporated into 8 clinical scenarios. Residency recruitment occurred via national EM listservs;of 276 programs, 27 enrolled. Curricular implementation was on Slack workspaces. Cases included stimulus images and clinical questions. Ample discussion time, answers, and resources were provided. Trends in PP were calculated with descriptive statistics and the Wilcoxon Rank Sum test. Results: Of 311 total pre-interns contacted, 289 (92.9%) completed a presurvey in April/May 2020, and 240 (77.2%) completed a post-survey in June/July 2020, for an 83.9% followthrough rate. Pre-interns reported statistically significant increases in PP both overall and regarding 14 of 21 milestones. See Table 1. Conclusions: Amidst the educational disruption of the COVID-19 pandemic, pre-interns participating in the SIC reported statistically significant increases in PP. Limitations include absence of control or pre-pandemic data. Future directions include adapting the SIC to other specialties' ACGME milestones for generalizability across all fields.