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      A qualitative exploration of the National Academy of medicine model of well‐being and resilience among healthcare workers during COVID‐19

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          Abstract

          Aims

          The aim of this research was to explore factors affecting the well‐being and resilience of healthcare workers (HCWs) during COVID‐19.

          Design

          Qualitative content analysis of survey responses to a single, open‐ended question.

          Methods

          The study took place in June and July 2020 in the Mid‐Atlantic United States. Qualitative data from 452 HCWs were analysed with deductive content analysis, using a National Academy of Medicine model of factors affecting clinician well‐being and resilience. The study is reported according to the Standards for Reporting Qualitative Research and the Consolidated Criteria for Reporting Qualitative Research.

          Findings

          The findings reflect each of the seven domains of the National Academy of Medicine model, demonstrating the diverse factors that have impacted the well‐being and resilience of HCWs during the COVID‐19 pandemic. The results of the study show that factors within the workplace have significantly impacted the well‐being and resilience of HCWs during the pandemic, in particular, the practice environment and the rules and regulations implemented by healthcare organizations. At the same time, individual and even societal factors have also affected well‐being during the pandemic, but not to the same degree as factors within the workplace.

          Conclusion

          The research findings illustrate how multiple, diverse factors have influenced the well‐being and resilience of HCWs during the pandemic. The study has practical relevance for healthcare leaders and important implications for future research.

          Impact

          Health system leaders can address the well‐being and resilience of healthcare workers by implementing solutions that address health system factors like the practice environment and the policies and procedures of the organization. Researchers should not only focus on individual factors associated with professional well‐being but must also expand research and interventional studies to include the system and environmental factors that significantly affect clinicians.

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          Most cited references43

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups.

            Qualitative research explores complex phenomena encountered by clinicians, health care providers, policy makers and consumers. Although partial checklists are available, no consolidated reporting framework exists for any type of qualitative design. To develop a checklist for explicit and comprehensive reporting of qualitative studies (in depth interviews and focus groups). We performed a comprehensive search in Cochrane and Campbell Protocols, Medline, CINAHL, systematic reviews of qualitative studies, author or reviewer guidelines of major medical journals and reference lists of relevant publications for existing checklists used to assess qualitative studies. Seventy-six items from 22 checklists were compiled into a comprehensive list. All items were grouped into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. Duplicate items and those that were ambiguous, too broadly defined and impractical to assess were removed. Items most frequently included in the checklists related to sampling method, setting for data collection, method of data collection, respondent validation of findings, method of recording data, description of the derivation of themes and inclusion of supporting quotations. We grouped all items into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. The criteria included in COREQ, a 32-item checklist, can help researchers to report important aspects of the research team, study methods, context of the study, findings, analysis and interpretations.
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              The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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                Author and article information

                Contributors
                lindsay.munn@atriumhealth.org , @LTMunn
                @SuzanneDanhauer
                Journal
                J Adv Nurs
                J Adv Nurs
                10.1111/(ISSN)1365-2648
                JAN
                Journal of Advanced Nursing
                John Wiley and Sons Inc. (Hoboken )
                0309-2402
                1365-2648
                14 March 2022
                14 March 2022
                : 10.1111/jan.15215
                Affiliations
                [ 1 ] Clinical and Translational Science Institute Wake Forest School of Medicine Winston‐Salem North Carolina USA
                [ 2 ] Department of Emergency Medicine Atrium Health Charlotte North Carolina USA
                [ 3 ] Center of Nursing Research Atrium Health Wake Forest Baptist Winston‐Salem North Carolina USA
                [ 4 ] Center for Outcomes Research and Evaluation Atrium Health Charlotte North Carolina USA
                [ 5 ] Nursing Administration Atrium Health Enterprise Charlotte North Carolina USA
                [ 6 ] Department of Social Sciences and Health Policy Division of Public Health Sciences Wake Forest School of Medicine Winston‐Salem North Carolina USA
                Author notes
                [*] [* ] Correspondence

                Lindsay T. Munn, 1540 Garden Terrace, Suite 310, Charlotte, NC 28203.

                Email: lindsay.munn@ 123456atriumhealth.org

                Author information
                https://orcid.org/0000-0001-9410-1133
                Article
                JAN15215 JAN-2021-2006.R1
                10.1111/jan.15215
                9111620
                35285054
                90bde5f7-c23c-4c36-b828-01a0aada8748
                © 2022 The Authors. Journal of Advanced Nursing published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 13 January 2022
                : 05 November 2021
                : 08 February 2022
                Page count
                Figures: 2, Tables: 2, Pages: 14, Words: 9213
                Categories
                Original Research: Empirical Research ‐ Qualitative
                Original Research: Empirical Research ‐ Qualitative
                Custom metadata
                2.0
                corrected-proof
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.6 mode:remove_FC converted:17.05.2022

                Nursing
                burnout,covid‐19,health personnel,national academy of medicine,nurse practitioners,nurses,physician assistants,resilience,well‐being,work environment

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