Sources of exposure and risk among employees infected with severe acute respiratory coronavirus virus 2 (SARS-CoV-2) in a large, urban, tertiary-care hospital in the United States.

Objective: Hospital employees are at risk of SARS-CoV-2 infection through transmission in 3 settings: (1) the community, (2) within the hospital from patient care, and (3) within the hospital from other employees. We evaluated probable sources of infection among hospital employees based on reported exposures before infection. Design: A structured survey was distributed to participants to evaluate presumed COVID-19 exposures (ie, close contacts with people with known or probable COVID-19) and mask usage. Participants were stratified into high, medium, low, and unknown risk categories based on exposure characteristics and personal protective equipment. Setting: Tertiary-care hospital in Boston, Massachusetts. Participants: Hospital employees with a positive SARS-CoV-2 PCR test result between March 2020 and January 2021. During this period, 573 employees tested positive, of whom 187 (31.5%) participated. Results: We did not detect a statistically significant difference in the proportion of employees who reported any exposure (ie, close contacts at any risk level) in the community compared with any exposure in the hospital, from either patients or employees. In total, 131 participants (70.0%) reported no known high-risk exposure (ie, unmasked close contacts) in any setting. Among those who could identify a high-risk exposure, employees were more likely to have had a high-risk exposure in the community than in both hospital settings combined (odds ratio, 1.89; P = .03). Conclusions: Hospital employees experienced exposure risks in both community and hospital settings. Most employees were unable to identify high-risk exposures prior to infection. When respondents identified high-risk exposures, they were more likely to have occurred in the community.

Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students.

Artificial Intelligence (AI) has the power to improve our lives through a wide variety of applications, many of which fall into the healthcare space; however, a lack of diversity is contributing to limitations in how broadly AI can help people. The UCSF AI4ALL program was established in 2019 to address this issue by targeting high school students from underrepresented backgrounds in AI, giving them a chance to learn about AI with a focus on biomedicine, and promoting diversity and inclusion. In 2020, the UCSF AI4ALL three-week program was held entirely online due to the COVID-19 pandemic. Thus, students participated virtually to gain experience with AI, interact with diverse role models in AI, and learn about advancing health through AI. Specifically, they attended lectures in coding and AI, received an in-depth research experience through hands-on projects exploring COVID-19, and engaged in mentoring and personal development sessions with faculty, researchers, industry professionals, and undergraduate and graduate students, many of whom were women and from underrepresented racial and ethnic backgrounds. At the conclusion of the program, the students presented the results of their research projects at the final symposium. Comparison of pre- and post-program survey responses from students demonstrated that after the program, significantly more students were familiar with how to work with data and to evaluate and apply machine learning algorithms. There were also nominally significant increases in the students' knowing people in AI from historically underrepresented groups, feeling confident in discussing AI, and being aware of careers in AI. We found that we were able to engage young students in AI via our online training program and nurture greater diversity in AI. This work can guide AI training programs aspiring to engage and educate students entirely online, and motivate people in AI to strive towards increasing diversity and inclusion in this field.

An Online Teaching Resource to Support UK Medical Student Education During the COVID-19 Pandemic: A Descriptive Account.

This paper describes the development and use of the bespoke digital learning resource CAPSULE (Clinical and Professional Studies Unique Learning Environment) which was launched UK wide in May 2020 to facilitate the delivery of core learning content for UK medical students during the COVID-19 pandemic. CAPSULE is a digital learning resource comprising case-based scenarios and multiple-choice questions, encompassing all undergraduate medical specialities and supported by a pan-speciality editorial board. Following the COVID-19 pandemic lockdown and loss of face-to-face learning opportunities, CAPSULE was made available to all UK medical schools in May 2020. Following a global content review and edit and UK wide rollout, over 41,000 medical students and 3200 faculty registered as users. Approximately 1.5 million cases were completed in the first 12 months of use by up to 4500 distinct monthly users. Feedback from both students and faculty has been highly positive. CAPSULE continues to be used within UK medical schools and has allowed an entire cohort of medical students to access core curriculum content and progress their studies during the COVID-19 pandemic. Future directions may include further integration into UK medical school curricula, enhancement of platform functionality and potential expansion on an international scale.

Mortality Risk Among Patients With COVID-19 Prescribed Selective Serotonin Reuptake Inhibitor Antidepressants.

Importance: Antidepressant use may be associated with reduced levels of several proinflammatory cytokines suggested to be involved with the development of severe COVID-19. An association between the use of selective serotonin reuptake inhibitors (SSRIs)-specifically fluoxetine hydrochloride and fluvoxamine maleate-with decreased mortality among patients with COVID-19 has been reported in recent studies; however, these studies had limited power due to their small size. Objective: To investigate the association of SSRIs with outcomes in patients with COVID-19 by analyzing electronic health records (EHRs). Design, Setting, and Participants: This retrospective cohort study used propensity score matching by demographic characteristics, comorbidities, and medication indication to compare SSRI-treated patients with matched control patients not treated with SSRIs within a large EHR database representing a diverse population of 83 584 patients diagnosed with COVID-19 from January to September 2020 and with a duration of follow-up of as long as 8 months in 87 health care centers across the US. Exposures: Selective serotonin reuptake inhibitors and specifically (1) fluoxetine, (2) fluoxetine or fluvoxamine, and (3) other SSRIs (ie, not fluoxetine or fluvoxamine). Main Outcomes and Measures: Death. Results: A total of 3401 adult patients with COVID-19 prescribed SSRIs (2033 women [59.8%]; mean [SD] age, 63.8 [18.1] years) were identified, with 470 receiving fluoxetine only (280 women [59.6%]; mean [SD] age, 58.5 [18.1] years), 481 receiving fluoxetine or fluvoxamine (285 women [59.3%]; mean [SD] age, 58.7 [18.0] years), and 2898 receiving other SSRIs (1733 women [59.8%]; mean [SD] age, 64.7 [18.0] years) within a defined time frame. When compared with matched untreated control patients, relative risk (RR) of mortality was reduced among patients prescribed any SSRI (497 of 3401 [14.6%] vs 1130 of 6802 [16.6%]; RR, 0.92 [95% CI, 0.85-0.99]; adjusted P = .03); fluoxetine (46 of 470 [9.8%] vs 937 of 7050 [13.3%]; RR, 0.72 [95% CI, 0.54-0.97]; adjusted P = .03); and fluoxetine or fluvoxamine (48 of 481 [10.0%] vs 956 of 7215 [13.3%]; RR, 0.74 [95% CI, 0.55-0.99]; adjusted P = .04). The association between receiving any SSRI that is not fluoxetine or fluvoxamine and risk of death was not statistically significant (447 of 2898 [15.4%] vs 1474 of 8694 [17.0%]; RR, 0.92 [95% CI, 0.84-1.00]; adjusted P = .06). Conclusions and Relevance: These results support evidence that SSRIs may be associated with reduced severity of COVID-19 reflected in the reduced RR of mortality. Further research and randomized clinical trials are needed to elucidate the effect of SSRIs generally, or more specifically of fluoxetine and fluvoxamine, on the severity of COVID-19 outcomes.

Transitioning to Telehealth During the COVID-19 Pandemic: Patient Perspectives and Attendance at an HIV Clinic in San Francisco.

Approximately 1.2 million people are living with HIV in the United States, with 16,000 in San Francisco. Many HIV-positive individuals have difficulty maintaining follow-up clinic visits under normal circumstances, and this is complicated by the coronavirus disease 2019 (COVID-19) pandemic as many institutions transition to a telehealth-focused model of care to maintain patient and provider safety. However, it was unknown how telehealth would impact patient attendance and perceptions about their care, particularly in populations at high risk of appointment nonattendance. To quantify the impact of telehealth on retention in care for a vulnerable HIV-infected population and to identify patient perspectives of telehealth and its effect on appointment attendance, we studied patients at the University of California, San Francisco (UCSF) 360 Wellness Center, an HIV primary care clinic in urban San Francisco, California. Anonymous surveys were conducted to assess patient perceptions of telehealth, and 21% of patients sent surveys responded. Appointment attendance rates for all visits were analyzed before and after the shelter-in-place order in San Francisco on March 16, 2020. With the transition to telehealth, the overall nonattendance rate decreased by ∼3%. Most common perceived strengths of telehealth included convenience and safety, whereas disadvantages included technical barriers and unfamiliarity. Despite barriers and disadvantages listed by patients, a majority are willing to attend telehealth visits, as 80.5% of respondents reported being equally or more likely to attend telehealth visits. This is a critical finding during the COVID-19 pandemic and beyond; we believe that telehealth can improve appointment attendance for vulnerable populations who often face barriers to receiving health care.

Adaptation of MHPSS in camps in the context of COVID-19

The pandemic has placed significant additional mental and emotional burdens on forced migrants. Here, Balletto et al talk about adaptation of mental health and psychosocial support (MHPSS) in camps in the context of COVID-19. The recommendations here reflect these layers of intervention, and focus on the importance of establishing collective care and mutual aid networks that integrate the cognitive, affective, spiritual and social realities of displaced persons living in camp settings in the context of COVID-19.