What started as a cluster of patients with a mysterious respiratory illness in Wuhan, China, in December 2019, was later determined to be coronavirus disease 2019 (COVID-19). The pathogen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel Betacoronavirus , was subsequently isolated as the causative agent. SARS-CoV-2 is transmitted by respiratory droplets and fomites and presents clinically with fever, fatigue, myalgias, conjunctivitis, anosmia, dysgeusia, sore throat, nasal congestion, cough, dyspnea, nausea, vomiting, and/or diarrhea. In most critical cases, symptoms can escalate into acute respiratory distress syndrome accompanied by a runaway inflammatory cytokine response and multiorgan failure. As of this article's publication date, COVID-19 has spread to approximately 200 countries and territories, with over 4.3 million infections and more than 290,000 deaths as it has escalated into a global pandemic. Public health concerns mount as the situation evolves with an increasing number of infection hotspots around the globe. New information about the virus is emerging just as rapidly. This has led to the prompt development of clinical patient risk stratification tools to aid in determining the need for testing, isolation, monitoring, ventilator support, and disposition. COVID-19 spread is rapid, including imported cases in travelers, cases among close contacts of known infected individuals, and community-acquired cases without a readily identifiable source of infection. Critical shortages of personal protective equipment and ventilators are compounding the stress on overburdened healthcare systems. The continued challenges of social distancing, containment, isolation, and surge capacity in already stressed hospitals, clinics, and emergency departments have led to a swell in technologically-assisted care delivery strategies, such as telemedicine and web-based triage. As the race to develop an effective vaccine intensifies, several clinical trials of antivirals and immune modulators are underway, though no reliable COVID-19-specific therapeutics (inclusive of some potentially effective single and multi-drug regimens) have been identified as of yet. With many nations and regions declaring a state of emergency, unprecedented quarantine, social distancing, and border closing efforts are underway. Implementation of social and physical isolation measures has caused sudden and profound economic hardship, with marked decreases in global trade and local small business activity alike, and full ramifications likely yet to be felt. Current state-of-science, mitigation strategies, possible therapies, ethical considerations for healthcare workers and policymakers, as well as lessons learned for this evolving global threat and the eventual return to a “new normal” are discussed in this article.

Purpose: Due to the coronavirus disease-19 (COVID-19) global pandemic, the Association of American Medical Colleges (AAMC) recommended that medical students be removed from contact with patients testing positive or patients under suspicion (PUIs) for COVID-19. As a result of Detroit being a highly affected area, the Wayne State University (WSU) medical students assigned to hospital clerkships during this time were essentially prevented from performing any direct patient care activities. A model for the Internal Medicine (IM) clerkship was developed incorporating a clinical telehealth component, in order to create a safe environment for students to continue to perform meaningful patient care. Objectives: To model a curriculum whereby students have a diverse patient care experience while increasing their skill and confidence in the performance of telehealth, as measured by self-report in a required pre- and post-clerkship assessment. Participant population: Twenty, third-year medical students at the end of their academic year, assigned to the IM clerkship at the Detroit Medical Center. Methods: Students were instructed to complete the American College of Physicians (ACP) module on telehealth, given an orientation via the Zoom online platform by clinical faculty, and placed on a weekly telehealth clinic schedule, precepted by residents and attendings in IM. Survey data was collected covering students’ knowledge, skills, and attitudes surrounding telehealth at the beginning of the rotation. A mid-clerkship feedback session was held with the clerkship director, and the resultant qualitative data was assessed for themes to be compared against the baseline assessment. Determination of incremental change between pre- and post-assessment reports will be evaluated at the completion of the clerkship, with that data forthcoming. Results: Baseline survey revealed that 90% of students believed the telemedicine experience would be a valuable addition to their IM clerkship. Most were confident that, with training, they could effectively complete a telemedicine visit and 80% felt that telehealth would play an important role in their future careers. Students were pleased with the telemedicine visit logistics and with their role in actively assisting patients with the Zoom online platform. Despite initial anxiety over effectively communicating with patients prior to beginning the telemedicine experience, students demonstrated a common trend towards comfort with that aspect of the visit. Students were impressed with the amount of guidance given by resident and attending physicians in expressing empathy via a virtual platform. Overall, students were pleased with the variety of cases seen and the prompt feedback they received from resident and attending physicians after the telemedicine encounters. At the midpoint assessment, students expressed satisfaction with the overall experience and appreciated the opportunity to continue interacting with patients despite the limitations the pand...

Background The impact of race and socioeconomic status on clinical outcomes has not been quantified in patients hospitalized with coronavirus disease 2019 (COVID-19). Objective To evaluate the association between patient sociodemographics and neighborhood disadvantage with frequencies of death, invasive mechanical ventilation (IMV), and intensive care unit (ICU) admission in patients hospitalized with COVID-19. Design Retrospective cohort study. Setting Four hospitals in an integrated health system serving southeast Michigan. Participants Adult patients admitted to the hospital with a COVID-19 diagnosis confirmed by polymerase chain reaction. Main Measures Patient sociodemographics, comorbidities, and clinical outcomes were collected. Neighborhood socioeconomic variables were obtained at the census tract level from the 2018 American Community Survey. Relationships between neighborhood median income and clinical outcomes were evaluated using multivariate logistic regression models, controlling for patient age, sex, race, Charlson Comorbidity Index, obesity, smoking status, and living environment. Key Results Black patients lived in significantly poorer neighborhoods than White patients (median income: $34,758 (24,531–56,095) vs. $63,317 (49,850–85,776), p < 0.001) and were more likely to have Medicaid insurance (19.4% vs. 11.2%, p < 0.001). Patients from neighborhoods with lower median income were significantly more likely to require IMV (lowest quartile: 25.4%, highest quartile: 16.0%, p < 0.001) and ICU admission (35.2%, 19.9%, p < 0.001). After adjusting for age, sex, race, and comorbidities, higher neighborhood income ($10,000 increase) remained a significant negative predictor for IMV (OR: 0.95 (95% CI 0.91, 0.99), p = 0.02) and ICU admission (OR: 0.92 (95% CI 0.89, 0.96), p < 0.001). Conclusions Neighborhood disadvantage, which is closely associated with race, is a predictor of poor clinical outcomes in COVID-19. Measures of neighborhood disadvantage should be used to inform policies that aim to reduce COVID-19 disparities in the Black community.

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