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1.
J Clin Nurs ; 30(3-4): 397-405, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1093760

ABSTRACT

AIMS AND OBJECTIVES: We aimed to investigate the anxiety of nurses who are supporting Wuhan in fighting against coronavirus disease 2019 (COVID-19) infection and explore relevant influencing factors. BACKGROUND: The COVID-19 outbreak poses a major threat to public health worldwide. Nurses play an important role in this epidemic. However, available data on the mental health among these nurses are limited. DESIGN: A descriptive, cross-sectional survey was performed. METHODS: An online questionnaire was completed by 200 nurses who went to Wuhan to help to fight against COVID-19 from another province. Data collection tools include the Chinese version of the Stress Overload Scale (SOS), the Self-Rating Anxiety Scale (SAS) and General Self-Efficacy Scale (GSES). Descriptive, single-factor correlation and multiple regression analyses were used in exploring related influencing factors. Reporting followed the STROBE guidelines. RESULTS: The scores of SAS, SOS and GSES range from 20 to 80, 22 to 110 and 10 to 40, respectively, and the SAS (31.79 ± 7.32) and SOS (40.19 ± 12.92) and GSES scores (24.83 ± 6.60) were obtained. Anxiety was positively correlated with stress (r = .679, p < .001) but negatively correlated with self-efficacy (r = -.326, p < .001). Multiple regression analysis showed that professional qualification, sleep, stress and self-efficacy were the main factors affecting nurse anxiety (p = .006, <.001, <.001, .039, respectively). CONCLUSIONS: Nurses who are supporting Wuhan in fighting against COVID-19 were under a low level of anxiety. RELEVANCE TO CLINICAL PRACTICE: The current study suggests work stress reduction might be a key factor in reducing anxiety and maintaining mental health to support nurses who are fighting against COVID-19 infection.


Subject(s)
COVID-19/psychology , Mental Health/statistics & numerical data , Nursing Staff/psychology , Occupational Stress/psychology , Self Efficacy , Adult , Anxiety/psychology , COVID-19/nursing , China/epidemiology , Cross-Sectional Studies , Epidemics , Female , Humans , Male , Nursing Staff/statistics & numerical data , Surveys and Questionnaires
2.
J Nurs Manag ; 28(5): 1002-1009, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-668308

ABSTRACT

AIMS: To investigate the work stress among Chinese nurses who are supporting Wuhan in fighting against Coronavirus Disease 2019 (COVID-19) infection and to explore the relevant influencing factors. BACKGROUND: The COVID-19 epidemic has posed a major threat to public health. Nurses have always played an important role in infection prevention, infection control, isolation, containment and public health. However, available data on the work stress among these nurses are limited. METHODS: A cross-sectional survey. An online questionnaire was completed by 180 anti-epidemic nurses from Guangxi. Data collection tools, including the Chinese version of the Stress Overload Scale (SOS) and the Self-rating Anxiety Scale (SAS), were used. Descriptive single factor correlation and multiple regression analyses were used in exploring the related influencing factors. RESULTS: The SOS (39.91 ± 12.92) and SAS (32.19 ± 7.56) scores of this nurse group were positively correlated (r = 0.676, p < .05). Multiple regression analysis showed that only children, working hours per week and anxiety were the main factors affecting nurse stress (p = .000, .048, .000, respectively). CONCLUSIONS: Nurses who fight against COVID-19 were generally under pressure. IMPLICATIONS FOR NURSING MANAGEMENT: Nurse leaders should pay attention to the work stress and the influencing factors of the nurses who are fighting against COVID-19 infection, and offer solutions to retain mental health among these nurses.


Subject(s)
Coronavirus Infections/epidemiology , Coronavirus Infections/nursing , Epidemics/prevention & control , Nursing Staff/psychology , Occupational Stress/epidemiology , Pneumonia, Viral/epidemiology , Pneumonia, Viral/nursing , Adult , COVID-19 , China/epidemiology , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Nursing Staff/statistics & numerical data , Pandemics , Risk Factors , Young Adult
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