Work stress among Chinese nurses to support Wuhan in fighting against Covid‐19 epidemic
Bibliographic Data
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.
Anxiety · Coronavirus disease 2019 (COVID-19) · Cross-sectional study · Disease · Family medicine · Isolation (microbiology) · Mental health · Pandemic · Psychiatry · Public health · Scale (ratio) · Advanced Technologies in Various Fields · COVID-19 and Mental Health · Healthcare professionals’ stress and burnout · Medicine · Nursing · Psychology
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| Unique citing works | 128 |
|---|---|
| Citations per year | 21,33 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 108 |