Background The new Egyptian Universal Health Insurance Law is introduced through family-oriented primary health care. Increasing the number of recent graduates who specialized in family medicine is considered a national need to overcome family physicians’ shortage. Aim To explore the factors affecting the house officers’ choice of Family Medicine as a future career amid the implementation of the new Universal Health Insurance Law in Egypt. Methods This is a cross-sectional study conducted on house officers during their training in Cairo university hospitals from the first of March 2020 to February 2021. The researchers offered an anonymous self-administered questionnaire to all house officers at the beginning of their 2-week family medicine training (1170 house officers). Results A total of 1052 completed the questionnaire (response rate 90%). Family medicine as a specialty was considered by 53.6% (n = 564) of participants, while only 23.4% (n = 246) of participants had an obvious intention to choose family medicine. Multivariate (adjusted) logistic regression model revealed that factors significantly associated with intention to choose family medicine were marital status, knowledge about governmental advantages for family medicine offered to the specialized recent graduates, and previously encountered with family practice as customers. Conclusions The choice of family medicine specialty is increasing among house officers. This could be attributed to the growing interest in family medicine in Egypt, especially after implementing the new insurance law’s first phase in several Egyptian governorates.

Introduction The COVID-19 pandemic is an unprecedented challenge to house officers training programs because of the safety measures. Objective This current study aimed to introduce the adaptation of family medicine training for house officers during COVID-19 pandemic and gauge their level of satisfaction with the training. Methods Unfortunately, more than one-fourth of the house officers attending the family medicine training turned out to be hospital-admitted or in obligatory home isolation. A time-sensitive plan was proposed to maintain a competent training guaranteeing safety and support of house officers and fulfilling the training objectives in a virtual setting. Three mentors were assigned to each 10 house officers to provide continuous support and monitoring. Tutor and house officer interaction and reflection were maintained through a virtual clinical training session via Zoom application and a daily online discussion of a clinical scenario. Peer interaction was provided through post-webinar and small-group online discussion sessions. Results The adapted training was applied on thirteen cohorts of house officers. The response rate was 70% (666 out of 950). Most of them were satisfied with the training (84.6%). Their satisfaction with each modality of the training was encouraging. Conclusions During COVID-19 pandemic, successful adaptation of family medicine training has succeeded in fulfilling the training objectives and providing psychological support and engagement for house officers without burdening the hospital-admitted and home-isolated house officers.

Background Coronavirus disease 2019 (COVID-19) struck the world by surprise by the rising numbers that required prompt governmental and hospital staff reaction to the ongoing crisis. A robust preparedness and personal protective equipment (PPE) were yet to be regarded as our best plan. Methods A survey study was conducted on 254 Egyptian house officers using an anonymous web-based questionnaire that was filled using Google Forms after obtaining online informed consent. Results The mean age of the participants was 25 years. Only 28.74% of the house officers were categorized as having a good preparedness, while 85.83% of them have a good PPE attitude. The preparedness and willingness were significantly associated with the overall worry related to the pandemic (P value = 0.012). Fear of contracting COVID-19 infection negatively affected their preparedness by 60% (odds ratio (OR) 0.40, 95% confidence interval (CI), 0.17–0.93, P value = 0.034). The House officers with family members at-risk for severe COVID-19 were less likely to be prepared and willing by 70% (OR 0.30, 95% CI 0.15–0.60, P value = 0.001). The house officers with good preparedness and willingness to deal with COVID-19 seemed to have a good PPE attitude (OR 11.48, 95% CI 2.43-54.34, P value = 0.002). Conclusion A significant number of house officers expressed low levels of preparedness, while most of them have a good PPE attitude.

Objectives: During the COVID-19 pandemic, a quick and reliable phone-triage system is critical for early care and efficient distribution of hospital resources. The study aimed to assess the accuracy of the traditional phone-triage system and phone triage-driven deep learning model in the prediction of positive COVID-19 patients. Setting: This is a retrospective study conducted at the family medicine department, Cairo University. Methods: The study included a dataset of 943 suspected COVID-19 patients from the phone triage during the first wave of the pandemic. The accuracy of the phone triaging system was assessed. PCR-dependent and phone triage-driven deep learning model for automated classifications of natural human responses was conducted. Results: Based on the RT-PCR results, we found that myalgia, fever, and contact with a case with respiratory symptoms had the highest sensitivity among the symptoms/ risk factors that were asked during the phone calls (86.3%, 77.5%, and 75.1%, respectively). While immunodeficiency, smoking, and loss of smell or taste had the highest specificity (96.9%, 83.6%, and 74.0%, respectively). The positive predictive value (PPV) of phone triage was 48.4%. The classification accuracy achieved by the deep learning model was 66%, while the PPV was 70.5%. Conclusion: Phone triage and deep learning models are feasible and convenient tools for screening COVID-19 patients. Using the deep learning models for symptoms screening will help to provide the proper medical care as early as possible for those at a higher risk of developing severe illness paving the way for a more efficient allocation of the scanty health resources.