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      Measuring the Nursing Work Environment during Public Health Emergencies: Scale Adaptation and Validation

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          Abstract

          Aim. To develop a scale for measuring nurse’s perceived work environment during the public health emergencies (PHEs) and assess its reliability and validity. Background. Although there is extensive research on instruments for measuring nursing work environments in regular healthcare settings, there is a lack of specific scales tailored to address the unique work conditions experienced by nurses during PHEs. Design. This study employed a cross-sectional design for psychometric evaluation and adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement. Methods. A self-report scale, the Chinese Nursing Work Environment Scale for Public Health Emergencies (C-NWE-PHE), was developed, integrating situational characteristics. Data on demographics, adapted scale scores, and subjective evaluations of nursing management performance were collected from 1156 nurses through online surveys conducted between January 2023 and March 2023. Confirmatory factor analysis, Pearson correlations, and Cronbach’s alpha analyses were conducted to evaluate the psychometric properties of the scale. Results. The adapted C-NWE-PHE scale comprised 28 items organized into five subscales: Workforce and Deployment Support, Leadership and Emergency Management, Autonomy and Empowerment, Teamwork and Collaboration, and Logistics and Humanistic Care. Structural equation modelling showed satisfactory factor loadings for each subscale and a good model fit, confirming construct validity. The content validity and reliability of the total scale were confirmed. Conclusion. This study provides empirical evidence for understanding and assessing the nursing work environment during PHEs with a psychometrically sound scale. Implications for Nursing Management. The C-NWE-PHE scale, along with its five identified constructs, provides a nuanced comprehension of working conditions amid PHEs. Implementing this scale could foster specific enhancements, support nurse retention efforts, and enhance the effectiveness of responses during challenging emergency situations.

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          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
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            The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies

            Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study’s generalizability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, case-control and cross-sectional studies. We convened a two-day workshop, in September 2004, with methodologists, researchers and journal editors to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE Statement) that relate to the title, abstract, introduction, methods, results and discussion sections of articles. Eighteen items are common to all three study designs and four are specific for cohort, case-control, or cross-sectional studies. A detailed Explanation and Elaboration document is published separately and is freely available on the web sites of PLoS Medicine, Annals of Internal Medicine and Epidemiology. We hope that the STROBE Statement will contribute to improving the quality of reporting of observational studies.
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              COVID‐19 anxiety among frontline nurses: predictive role of organisational support, personal resilience and social support

              Abstract Aim This study examines the relative influence of personal resilience, social support and organisational support in reducing COVID‐19 anxiety in frontline nurses. Background Anxiety related to the COVID‐19 pandemic is prevalent in the nursing workforce, potentially affecting nurses’ well‐being and work performance. Identifying factors that could help maintain mental health and reduce coronavirus‐related anxiety among frontline nurses is imperative. Currently, no studies have been conducted examining the influence of personal resilience, social support and organisational support in reducing COVID‐19 anxiety among nurses. Methods This cross‐sectional study involved 325 registered nurses from the Philippines using four standardised scales. Results Of the 325 nurses in the study, 123 (37.8%) were found to have dysfunctional levels of anxiety. Using multiple linear regression analyses, social support (β = ‐0.142, p = 0.011), personal resilience (β = ‐0.151, p = 0.008) and organisational support (β = ‐0.127, p = 0.023) predicted COVID‐19 anxiety. Nurse characteristics were not associated with COVID‐19 anxiety. Conclusions Resilient nurses and those who perceived higher organisational and social support were more likely to report lower anxiety related to COVID‐19. Implication for Nursing Management COVID‐19 anxiety may be addressed through organisational interventions, including increasing social support, assuring adequate organisational support, providing psychological and mental support services and providing resilience‐promoting and stress management interventions.
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                Author and article information

                Contributors
                Journal
                Journal of Nursing Management
                Journal of Nursing Management
                Hindawi Limited
                1365-2834
                0966-0429
                March 5 2024
                March 5 2024
                : 2024
                : 1-11
                Affiliations
                [1 ]School of Nursing, Shanghai Jiao Tong University, Shanghai 200025, China
                [2 ]Institute of Nursing Research and Department of Nursing of Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
                [3 ]SAS Institute, Inc, Cary, NC 27513, USA
                [4 ]Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
                [5 ]Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China
                Article
                10.1155/2024/9910079
                e72152b8-5ca0-43ee-ad91-5894edbefaa7
                © 2024

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

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