4
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Challenge, threat, coping potential: How primary and secondary appraisals of job demands predict nurses' affective states during the COVID‐19 pandemic

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Aim

          The COVID‐19 pandemic has led to a rapid raise of work‐related stress among nurses, affecting their emotional well‐being. This study examined how nurses appraise job demands (i.e. time pressure, emotional demands and physical demands) during the pandemic, and how primary (i.e. challenge and threat) and secondary appraisals (i.e. coping potential) of job demands predict nurses' affective states (i.e. positive affect, anger and anxiety).

          Design

          A cross‐sectional online survey.

          Methods

          419 nurses completed self‐report measures of job demands and related appraisals. Data analyses comprised correlation analysis, factor analysis, hierarchical linear regression analysis and dominance analysis.

          Results

          Emotional and physical demands correlated exclusively with threat appraisal, while time pressure correlated with challenge and threat appraisal. Time pressure, emotional demands and threat appraisals of job demands predicted negative affective states, while challenge appraisals of emotional and physical demands predicted positive affect. Coping potential was identified as the most important predictor variable of nurses' affective states.

          Public Contribution

          The current study identified statistically significant risk and protective factors in view of nurses' affective states experienced during the COVID‐19 pandemic.

          Related collections

          Most cited references60

          • Record: found
          • Abstract: found
          • Article: not found

          Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Mental health care for medical staff in China during the COVID-19 outbreak

            In December, 2019, an outbreak of a novel coronavirus pneumonia occurred in Wuhan (Hubei, China), and subsequently attracted worldwide attention. 1 By Feb 9, 2020, there were 37 294 confirmed and 28 942 suspected cases of 2019 coronavirus disease (COVID-19) in China. 2 Facing this large-scale infectious public health event, medical staff are under both physical and psychological pressure. 3 To better fight the COVID-19 outbreak, as the largest top-class tertiary hospital in Hunan Province, the Second Xiangya Hospital of Central South University undertakes a considerable part of the investigation of suspected patients. The hospital has set up a 24-h fever clinic, two mild suspected infection patient screening wards, and one severe suspected infection patient screening ward. In addition to the original medical staff at the infectious disease department, volunteer medical staff have been recruited from multiple other departments. The Second Xiangya Hospital—workplace of the chairman of the Psychological Rescue Branch of the Chinese Medical Rescue Association—and the Institute of Mental Health, the Medical Psychology Research Center of the Second Xiangya Hospital, and the Chinese Medical and Psychological Disease Clinical Medicine Research Center responded rapidly to the psychological pressures on staff. A detailed psychological intervention plan was developed, which mainly covered the following three areas: building a psychological intervention medical team, which provided online courses to guide medical staff to deal with common psychological problems; a psychological assistance hotline team, which provided guidance and supervision to solve psychological problems; and psychological interventions, which provided various group activities to release stress. However, the implementation of psychological intervention services encountered obstacles, as medical staff were reluctant to participate in the group or individual psychology interventions provided to them. Moreover, individual nurses showed excitability, irritability, unwillingness to rest, and signs of psychological distress, but refused any psychological help and stated that they did not have any problems. In a 30-min interview survey with 13 medical staff at The Second Xiangya Hospital, several reasons were discovered for this refusal of help. First, getting infected was not an immediate worry to staff—they did not worry about this once they began work. Second, they did not want their families to worry about them and were afraid of bringing the virus to their home. Third, staff did not know how to deal with patients when they were unwilling to be quarantined at the hospital or did not cooperate with medical measures because of panic or a lack of knowledge about the disease. Additionally, staff worried about the shortage of protective equipment and feelings of incapability when faced with critically ill patients. Many staff mentioned that they did not need a psychologist, but needed more rest without interruption and enough protective supplies. Finally, they suggested training on psychological skills to deal with patients' anxiety, panic, and other emotional problems and, if possible, for mental health staff to be on hand to directly help these patients. Accordingly, the measures of psychological intervention were adjusted. First, the hospital provided a place for rest where staff could temporarily isolate themselves from their family. The hospital also guaranteed food and daily living supplies, and helped staff to video record their routines in the hospital to share with their families and alleviate family members' concerns. Second, in addition to disease knowledge and protective measures, pre-job training was arranged to address identification of and responses to psychological problems in patients with COVID-19, and hospital security staff were available to be sent to help deal with uncooperative patients. Third, the hospital developed detailed rules on the use and management of protective equipment to reduce worry. Fourth, leisure activities and training on how to relax were properly arranged to help staff reduce stress. Finally, psychological counsellors regularly visited the rest area to listen to difficulties or stories encountered by staff at work, and provide support accordingly. More than 100 frontline medical staff can rest in the provided rest place, and most of them report feeling at home in this accomodation. Maintaining staff mental health is essential to better control infectious diseases, although the best approach to this during the epidemic season remains unclear.4, 5 The learning from these psychological interventions is expected to help the Chinese government and other parts of the world to better respond to future unexpected infectious disease outbreaks.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Job demands–resources theory: Taking stock and looking forward.

              The job demands-resources (JD-R) model was introduced in the international literature 15 years ago (Demerouti, Bakker, Nachreiner, & Schaufeli, 2001). The model has been applied in thousands of organizations and has inspired hundreds of empirical articles, including 1 of the most downloaded articles of the Journal of Occupational Health Psychology (Bakker, Demerouti, & Euwema, 2005). This article provides evidence for the buffering role of various job resources on the impact of various job demands on burnout. In the present article, we look back on the first 10 years of the JD-R model (2001-2010), and discuss how the model matured into JD-R theory (2011-2016). Moreover, we look at the future of the theory and outline which new issues in JD-R theory are worthwhile of investigation. We also discuss practical applications. It is our hope that JD-R theory will continue to inspire researchers and practitioners who want to promote employee well-being and effective organizational functioning. (PsycINFO Database Record
                Bookmark

                Author and article information

                Contributors
                martha.fernandez@uni.lu
                Journal
                Nurs Open
                Nurs Open
                10.1002/(ISSN)2054-1058
                NOP2
                Nursing Open
                John Wiley and Sons Inc. (Hoboken )
                2054-1058
                25 February 2023
                June 2023
                : 10
                : 6 ( doiID: 10.1002/nop2.v10.6 )
                : 3840-3853
                Affiliations
                [ 1 ] Department of Behavioural and Cognitive Sciences University of Luxembourg Esch‐sur‐Alzette Luxembourg
                Author notes
                [*] [* ] Correspondence

                Martha Fernandez De Henestrosa, 11, Porte des Sciences, L‐4366 Esch‐sur‐Alzette, Luxembourg.

                Email: martha.fernandez@ 123456uni.lu

                Author information
                https://orcid.org/0000-0002-9222-0793
                https://orcid.org/0000-0001-8414-0817
                https://orcid.org/0000-0002-0171-6786
                Article
                NOP21642 NOP-2022-Sep-1593.R1
                10.1002/nop2.1642
                10170884
                36840623
                c3aa5789-d519-475b-9a8e-011e1c63c238
                © 2023 University of Luxembourg. Nursing Open 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
                : 29 November 2022
                : 20 September 2022
                : 05 February 2023
                Page count
                Figures: 0, Tables: 6, Pages: 14, Words: 8208
                Categories
                Empirical Research Quantitative
                Empirical Research Quantitative
                Custom metadata
                2.0
                June 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.8 mode:remove_FC converted:10.05.2023

                challenge,coping potential,covid‐19,job demands,nursing staff,threat

                Comments

                Comment on this article