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      The Relationship Among Organizational Identity, Psychological Resilience and Work Engagement of the First-Line Nurses in the Prevention and Control of COVID-19 Based on Structural Equation Model

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          Abstract

          Purpose

          To explore how the organizational identity and psychological resilience affect work engagement of the front-line nurses in the prevention and control of coronavirus disease 2019 (COVID-19) and to establish the relationship model based on these factors.

          Material and Methods

          Convenience sampling was applied to collect questionnaire samples from 216 nurses (from 12 cities in 6 provinces). General information questionnaires, organizational identity scale (OIQ), psychological resilience scale (CD-RISC), and Utrecht Work Engagement Scale (UWES) were used as tools for data collection.

          Results

          Both organizational identification and psychological resilience had a positive impact on work engagement (r=0.457~0.669). The structural equation model indicated that psychological resilience had a significant partial mediating effect on the relationship between organizational identity and work engagement; the mediating effect value was 0.25, the overall effect value of work engagement was 0.73, and the mediating effect accounted for 34.2%.

          Conclusion

          Our results revealed that organizational identity could directly affect nursing. It can also indirectly affect nurses’ work engagement through the intermediary role of psychological resilience. In face of the COVID-19 epidemic, hospitals and nursing managers could improve the level of nurses’ job involvement by improving organizational identity, which in turn may have a positive effect on psychological resilience.

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          Most cited references37

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          Development of a new resilience scale: the Connor-Davidson Resilience Scale (CD-RISC).

          Resilience may be viewed as a measure of stress coping ability and, as such, could be an important target of treatment in anxiety, depression, and stress reactions. We describe a new rating scale to assess resilience. The Connor-Davidson Resilience scale (CD-RISC) comprises of 25 items, each rated on a 5-point scale (0-4), with higher scores reflecting greater resilience. The scale was administered to subjects in the following groups: community sample, primary care outpatients, general psychiatric outpatients, clinical trial of generalized anxiety disorder, and two clinical trials of PTSD. The reliability, validity, and factor analytic structure of the scale were evaluated, and reference scores for study samples were calculated. Sensitivity to treatment effects was examined in subjects from the PTSD clinical trials. The scale demonstrated good psychometric properties and factor analysis yielded five factors. A repeated measures ANOVA showed that an increase in CD-RISC score was associated with greater improvement during treatment. Improvement in CD-RISC score was noted in proportion to overall clinical global improvement, with greatest increase noted in subjects with the highest global improvement and deterioration in CD-RISC score in those with minimal or no global improvement. The CD-RISC has sound psychometric properties and distinguishes between those with greater and lesser resilience. The scale demonstrates that resilience is modifiable and can improve with treatment, with greater improvement corresponding to higher levels of global improvement. Copyright 2003 Wiley-Liss, Inc.
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            The Job Demands‐Resources model: state of the art

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              The Effects of Social Support on Sleep Quality of Medical Staff Treating Patients with Coronavirus Disease 2019 (COVID-19) in January and February 2020 in China

              Background Coronavirus disease 2019 (COVID-19), formerly known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 2019 novel coronavirus (2019-nCoV), was first identified in December 2019 in Wuhan City, China. Structural equation modeling (SEM) is a multivariate analysis method to determine the structural relationship between measured variables. This observational study aimed to use SEM to determine the effects of social support on sleep quality and function of medical staff who treated patients with COVID-19 in January and February 2020 in Wuhan, China. Material/Methods A one-month cross-sectional observational study included 180 medical staff who treated patients with COVID-19 infection. Levels of anxiety, self-efficacy, stress, sleep quality, and social support were measured using the and the Self-Rating Anxiety Scale (SAS), the General Self-Efficacy Scale (GSES), the Stanford Acute Stress Reaction (SASR) questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the Social Support Rate Scale (SSRS), respectively. Pearson’s correlation analysis and SEM identified the interactions between these factors. Results Levels of social support for medical staff were significantly associated with self-efficacy and sleep quality and negatively associated with the degree of anxiety and stress. Levels of anxiety were significantly associated with the levels of stress, which negatively impacted self-efficacy and sleep quality. Anxiety, stress, and self-efficacy were mediating variables associated with social support and sleep quality. Conclusions SEM showed that medical staff in China who were treating patients with COVID-19 infection during January and February 2020 had levels of anxiety, stress, and self-efficacy that were dependent on sleep quality and social support.
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                Author and article information

                Journal
                Risk Manag Healthc Policy
                Risk Manag Healthc Policy
                rmhp
                rmhp
                Risk Management and Healthcare Policy
                Dove
                1179-1594
                02 November 2020
                2020
                : 13
                : 2379-2386
                Affiliations
                [1 ]Pain Department & Urology Department, Affiliated Hospital of Jiaxing University , Jiaxing, Zhejiang, People’s Republic of China
                [2 ]Dean Office, Affiliated Hospital of Jiaxing University , Jiaxing, Zhejiang, People’s Republic of China
                [3 ]Cardiology Department, Affiliated Hospital of Jiaxing University , Jiaxing, Zhejiang, People’s Republic of China
                [4 ]Department of Nursing, Affiliated Hospital of Jiaxing University , Jiaxing, Zhejiang, People’s Republic of China
                Author notes
                Correspondence: Xueying Liu Tel +86 13456280706 Email 2925917086@qq.com
                Author information
                http://orcid.org/0000-0002-4876-9340
                http://orcid.org/0000-0001-5577-0035
                Article
                254928
                10.2147/RMHP.S254928
                7646467
                33173362
                b9172d1c-b4b1-40f5-a7bf-71e567866dcd
                © 2020 Lyu et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 21 March 2020
                : 30 September 2020
                Page count
                Figures: 1, Tables: 6, References: 37, Pages: 8
                Categories
                Original Research

                Social policy & Welfare
                coronavirus disease,covid-19,pneumonia,nurses,organizational identity,psychological resilience,work engagement

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