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      Gender Matters: A Gender Analysis of Healthcare Workers’ Experiences during the First COVID-19 Pandemic Peak in England

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      Social Sciences
      MDPI AG

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          Abstract

          The coronavirus (COVID-19) arrived in the United Kingdom (UK) in February 2020, placing an unprecedented burden on the National Health Service (NHS). Literature from past epidemics and the COVID-19 pandemic underscores the importance of using a gender lens when considering policy, experiences, and impacts of the disease. Researchers are increasingly examining the experiences of healthcare workers (HCWs), yet there is a dearth of research considering how gender shapes HCWs’ personal experiences. As the majority of HCWs in the UK and worldwide are women, research that investigates gender and focuses on women’s experiences is urgently needed. We conducted an analysis of 41 qualitative interviews with HCWs in the British NHS during the first peak of the COVID-19 pandemic in the Spring of 2020. Our findings demonstrate that gender is significant when understanding the experiences of HCWs during COVID-19 as it illuminates ingrained inequalities and asymmetrical power relations, gendered organizational structures and norms, and individual gendered bodies that interact to shape experiences of healthcare workers. These findings point to important steps to improve gender equality, the wellbeing of healthcare workers, and the overall strength of the NHS.

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          Most cited references36

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          Using the framework method for the analysis of qualitative data in multi-disciplinary health research

          Background The Framework Method is becoming an increasingly popular approach to the management and analysis of qualitative data in health research. However, there is confusion about its potential application and limitations. Discussion The article discusses when it is appropriate to adopt the Framework Method and explains the procedure for using it in multi-disciplinary health research teams, or those that involve clinicians, patients and lay people. The stages of the method are illustrated using examples from a published study. Summary Used effectively, with the leadership of an experienced qualitative researcher, the Framework Method is a systematic and flexible approach to analysing qualitative data and is appropriate for use in research teams even where not all members have previous experience of conducting qualitative research.
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            Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis

            Highlights • At least one in five healthcare professionals report symptoms of depression and anxiety. • Almost four in 10 healthcare workers experience sleeping difficulties and/or insomnia. • Rates of anxiety and depression were higher for female healthcare workers and nursing staff. • Milder mood symptoms are common and screening should aim to identify mild and sub-threshold syndromes.
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              Prevalence and predictors of PTSS during COVID-19 Outbreak in China Hardest-hit Areas: Gender differences matter

              Highlights • The prevalence of posttraumatic stress symptoms (PTSS) in China hardest-hit areas a month after the COVID-19 outbreak was 7%. • Hierarchical regression analysis and non-parametric test suggested that women reported significant higher PTSS in the domains of re-experiencing, negative alterations in cognition or mood, and hyper-arousal. • Participants with better sleep quality or less frequency of early awakenings reported lower PTSS.
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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Social Sciences
                Social Sciences
                MDPI AG
                2076-0760
                February 2021
                January 27 2021
                : 10
                : 2
                : 43
                Article
                10.3390/socsci10020043
                32fda1ca-3d5f-4a20-9040-2e80792691fa
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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