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      Frontline physician burnout during the COVID-19 pandemic: national survey findings

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          Abstract

          Background

          Physician burnout and wellbeing are an ongoing concern. Limited research has reported on the impact of the COVID 19 pandemic on burnout over time among U.S. physicians.

          Methods

          We surveyed U.S. frontline physicians at two time points (wave one in May–June 2020 and wave two in Dec 2020-Jan 2021) using a validated burnout measure. The survey was emailed to a national stratified random sample of family physicians, internists, hospitalists, intensivists, emergency medicine physicians, and infectious disease physicians. Burnout was assessed with the Professional Fulfillment Index Burnout Composite scale (PFI-BC). Responses were weighted to account for sample design and non-response bias. Random effects and quantile regression analyses were used to estimate change in conditional mean and median PFI-BC scores, adjusting for physician, geographic, and pandemic covariates.

          Results

          In the random effects regression, conditional mean burnout scores increased in the second wave among all respondents (difference 0.15 (CI: 0.24, 0.57)) and among respondents to both waves (balanced panel) (difference 0.21 (CI: − 0.42, 0.84)). Conditional burnout scores increased in wave 2 among all specialties except for Emergency medicine, with the largest increases among Hospitalists, 0.28 points (CI: − 0.19,0.76) among all respondents and 0.36 (CI: − 0.39,1.11) in the balanced panel, and primary care physicians, 0.21 (CI: − 0.23,0.66) among all respondents and 0.31 (CI: − 0.38,1.00) in the balanced panel. The conditional mean PFI-BC score among hospitalists increased from 1.10 (CI: 0.73,1.46) to 1.38 (CI: 1.02,1.74) in wave 2 in all respondents and from 1.49 (CI: 0.69,2.29) to 1.85 (CI: 1.24,2.46) in the balanced panel, near or above the 1.4 threshold indicating burnout. Findings from quantile regression were consistent with those from random effects.

          Conclusions

          Rates of physician burnout during the first year of the pandemic increased over time among four of five frontline specialties, with greatest increases among hospitalist and primary care respondents. Our findings, while not statistically significant, were consistent with worsening burnout; both the random effects and quantile regressions produced similar point estimates. Impacts of the ongoing pandemic on physician burnout warrant further research.

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          Most cited references28

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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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            The ASA's Statement onp-Values: Context, Process, and Purpose

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              Job burnout.

              Burnout is a prolonged response to chronic emotional and interpersonal stressors on the job, and is defined by the three dimensions of exhaustion, cynicism, and inefficacy. The past 25 years of research has established the complexity of the construct, and places the individual stress experience within a larger organizational context of people's relation to their work. Recently, the work on burnout has expanded internationally and has led to new conceptual models. The focus on engagement, the positive antithesis of burnout, promises to yield new perspectives on interventions to alleviate burnout. The social focus of burnout, the solid research basis concerning the syndrome, and its specific ties to the work domain make a distinct and valuable contribution to people's health and well-being.
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                Author and article information

                Contributors
                jamelnikow@ucdavis.edu
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                19 March 2022
                19 March 2022
                2022
                : 22
                : 365
                Affiliations
                [1 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Center for Healthcare Policy and Research, Department of Family and Community Medicine, University of California, ; Davis, USA
                [2 ]Sacramento, California USA
                [3 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Center for Healthcare Policy and Research, , University of California, ; Davis, USA
                Article
                7728
                10.1186/s12913-022-07728-6
                8933125
                35303889
                fee03009-6823-4e3a-b4f4-bad89f3c59fd
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 13 October 2021
                : 28 February 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Health & Social care
                covid-19,frontline physicians,physician burnout,physician wellbeing
                Health & Social care
                covid-19, frontline physicians, physician burnout, physician wellbeing

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