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      Impact of the COVID-19 Pandemic on Nephrology Fellow Training and Well-Being in the United States: A National Survey

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          Significance Statement

          The effects of the coronavirus disease 2019 (COVID-19) pandemic on adult and pediatric nephrology fellows’ education, preparedness for unsupervised practice, and emotional wellbeing are unknown. The authors surveyed 1005 nephrology fellows-in-training and recent graduates in the United States and 425 responded (response rate 42%). Nephrology training programs rapidly adopted telehealth and virtual learning to meet pandemic-mandated safety measures. Despite these changes, 84% of respondents indicated programs successfully sustained their education and helped them progress to unsupervised practice and board certification. Although 42% of respondents perceived that the pandemic negatively affected their overall quality of life and 33% reported a poorer work-life balance, only 15% met the Resident Well-Being Index distress threshold. As the pandemic continues, nephrology training programs must continue to provide a safe educational environment and monitor fellows’ wellbeing.

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          Abstract

          Background

          The coronavirus disease 2019 (COVID-19) pandemic’s effects on nephrology fellows’ educational experiences, preparedness for practice, and emotional wellbeing are unknown.

          Methods

          We recruited current adult and pediatric fellows and 2020 graduates of nephrology training programs in the United States to participate in a survey measuring COVID-19’s effects on their training experiences and wellbeing.

          Results

          Of 1005 nephrology fellows-in-training and recent graduates, 425 participated (response rate 42%). Telehealth was widely adopted (90% for some or all outpatient nephrology consults), as was remote learning (76% of conferences were exclusively online). Most respondents (64%) did not have in-person consults on COVID-19 inpatients; these patients were managed by telehealth visits (27%), by in-person visits with the attending faculty without fellows (29%), or by another approach (9%). A majority of fellows (84%) and graduates (82%) said their training programs successfully sustained their education during the pandemic, and most fellows (86%) and graduates (90%) perceived themselves as prepared for unsupervised practice. Although 42% indicated the pandemic had negatively affected their overall quality of life and 33% reported a poorer work-life balance, only 15% of 412 respondents who completed the Resident Well-Being Index met its distress threshold. Risk for distress was increased among respondents who perceived the pandemic had impaired their knowledge base (odds ratio [OR], 3.04; 95% confidence interval [CI], 2.00 to 4.77) or negatively affected their quality of life (OR, 3.47; 95% CI, 2.29 to 5.46) or work-life balance (OR, 3.16; 95% CI, 2.18 to 4.71).

          Conclusions

          Despite major shifts in education modalities and patient care protocols precipitated by the COVID-19 pandemic, participants perceived their education and preparation for practice to be minimally affected.

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          An interactive web-based dashboard to track COVID-19 in real time

          In December, 2019, a local outbreak of pneumonia of initially unknown cause was detected in Wuhan (Hubei, China), and was quickly determined to be caused by a novel coronavirus, 1 namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak has since spread to every province of mainland China as well as 27 other countries and regions, with more than 70 000 confirmed cases as of Feb 17, 2020. 2 In response to this ongoing public health emergency, we developed an online interactive dashboard, hosted by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, Baltimore, MD, USA, to visualise and track reported cases of coronavirus disease 2019 (COVID-19) in real time. The dashboard, first shared publicly on Jan 22, illustrates the location and number of confirmed COVID-19 cases, deaths, and recoveries for all affected countries. It was developed to provide researchers, public health authorities, and the general public with a user-friendly tool to track the outbreak as it unfolds. All data collected and displayed are made freely available, initially through Google Sheets and now through a GitHub repository, along with the feature layers of the dashboard, which are now included in the Esri Living Atlas. The dashboard reports cases at the province level in China; at the city level in the USA, Australia, and Canada; and at the country level otherwise. During Jan 22–31, all data collection and processing were done manually, and updates were typically done twice a day, morning and night (US Eastern Time). As the outbreak evolved, the manual reporting process became unsustainable; therefore, on Feb 1, we adopted a semi-automated living data stream strategy. Our primary data source is DXY, an online platform run by members of the Chinese medical community, which aggregates local media and government reports to provide cumulative totals of COVID-19 cases in near real time at the province level in China and at the country level otherwise. Every 15 min, the cumulative case counts are updated from DXY for all provinces in China and for other affected countries and regions. For countries and regions outside mainland China (including Hong Kong, Macau, and Taiwan), we found DXY cumulative case counts to frequently lag behind other sources; we therefore manually update these case numbers throughout the day when new cases are identified. To identify new cases, we monitor various Twitter feeds, online news services, and direct communication sent through the dashboard. Before manually updating the dashboard, we confirm the case numbers with regional and local health departments, including the respective centres for disease control and prevention (CDC) of China, Taiwan, and Europe, the Hong Kong Department of Health, the Macau Government, and WHO, as well as city-level and state-level health authorities. For city-level case reports in the USA, Australia, and Canada, which we began reporting on Feb 1, we rely on the US CDC, the government of Canada, the Australian Government Department of Health, and various state or territory health authorities. All manual updates (for countries and regions outside mainland China) are coordinated by a team at Johns Hopkins University. The case data reported on the dashboard aligns with the daily Chinese CDC 3 and WHO situation reports 2 for within and outside of mainland China, respectively (figure ). Furthermore, the dashboard is particularly effective at capturing the timing of the first reported case of COVID-19 in new countries or regions (appendix). With the exception of Australia, Hong Kong, and Italy, the CSSE at Johns Hopkins University has reported newly infected countries ahead of WHO, with Hong Kong and Italy reported within hours of the corresponding WHO situation report. Figure Comparison of COVID-19 case reporting from different sources Daily cumulative case numbers (starting Jan 22, 2020) reported by the Johns Hopkins University Center for Systems Science and Engineering (CSSE), WHO situation reports, and the Chinese Center for Disease Control and Prevention (Chinese CDC) for within (A) and outside (B) mainland China. Given the popularity and impact of the dashboard to date, we plan to continue hosting and managing the tool throughout the entirety of the COVID-19 outbreak and to build out its capabilities to establish a standing tool to monitor and report on future outbreaks. We believe our efforts are crucial to help inform modelling efforts and control measures during the earliest stages of the outbreak.
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              Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019

              Key Points Question What factors are associated with mental health outcomes among health care workers in China who are treating patients with coronavirus disease 2019 (COVID-19)? Findings In this cross-sectional study of 1257 health care workers in 34 hospitals equipped with fever clinics or wards for patients with COVID-19 in multiple regions of China, a considerable proportion of health care workers reported experiencing symptoms of depression, anxiety, insomnia, and distress, especially women, nurses, those in Wuhan, and front-line health care workers directly engaged in diagnosing, treating, or providing nursing care to patients with suspected or confirmed COVID-19. Meaning These findings suggest that, among Chinese health care workers exposed to COVID-19, women, nurses, those in Wuhan, and front-line health care workers have a high risk of developing unfavorable mental health outcomes and may need psychological support or interventions.
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                Author and article information

                Journal
                J Am Soc Nephrol
                J Am Soc Nephrol
                jnephrol
                jnephrol
                ASN
                Journal of the American Society of Nephrology : JASN
                American Society of Nephrology
                1046-6673
                1533-3450
                03 May 2021
                03 May 2021
                : 32
                : 5
                : 1236-1248
                Affiliations
                [1 ]Data Science and Public Impact, American Society of Nephrology, Washington, DC
                [2 ]Section of Nephrology, Hypertension, and Kidney Transplantation, Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
                [3 ]Department of Pediatrics, Division of Nephrology, University of Washington and Seattle Children’s Hospital, Seattle, Washington
                [4 ]Charles Bronfman Institute of Personalized Medicine, Department of Genetics and Genomics; Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
                [5 ]Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York
                [6 ]Division of Nephrology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
                [7 ]Department of Nephrology and Hypertension—Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Cleveland, Ohio
                [8 ]Department of Nephrology, Loma Linda University Medical Center, Loma Linda, California
                [9 ]Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine; and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
                Author notes
                Correspondence: Kurtis A. Pivert, ASN Alliance for Kidney Health, Data Science and Public Impact, 1401 H Street, Northwest, Suite 900, Washington, DC 20005. Email: kpivert@ 123456asn-online.org
                Author information
                https://orcid.org/0000-0002-3428-2427
                https://orcid.org/0000-0003-4722-6149
                https://orcid.org/0000-0002-6437-1973
                https://orcid.org/0000-0003-4300-5760
                https://orcid.org/0000-0001-6760-7710
                https://orcid.org/0000-0003-3364-6281
                https://orcid.org/0000-0002-9073-204X
                https://orcid.org/0000-0001-9912-4959
                https://orcid.org/0000-0002-0099-0484
                Article
                2020111636
                10.1681/ASN.2020111636
                8259681
                33658283
                ffe4b172-480e-4e0a-a55f-74829ccb7f48
                Copyright © 2021 by the American Society of Nephrology

                This is an Open Access article: American Society of Nephrology

                History
                : 23 November 2020
                : 21 January 2021
                Page count
                Figures: 6, Tables: 3, Equations: 0, References: 56, Pages: 13
                Funding
                Funded by: National Institutes of Health, open-funder-registry 10.13039/100000002;
                Award ID: K23DK124645
                Award ID: T32 DK007199
                Funded by: American Society of Nephrology, open-funder-registry 10.13039/100001463;
                Categories
                Clinical Research
                Custom metadata
                May 2021

                Nephrology
                nephrology training,covid-19 pandemic,physician burnout,covid-19
                Nephrology
                nephrology training, covid-19 pandemic, physician burnout, covid-19

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