No 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.

MARSI at PICC insertion site is a frequent event among oncology patients. Epidemiological data and independent risk factors are presented in our study, which provide a basis for future study in this area.

Objective:To investigate post-traumatic growth (PTG) and analyze its correlation with professional self-identity and social support in Chinese nurses who faced the coronavirus disease 2019 (COVID-19) epidemic.Methods:A cross-sectional descriptive design was used in this study. An online questionnaire was completed by 266 nurses who faced the COVID-19 emergency in Hubei Province, China. The Post-traumatic Growth Inventory (PTGI), Professional Self-identity Scale, and Perceived Social Support Scale were used to assess the level of PTG, professional self-identity, and social support. Descriptive, univariate analysis and multiple regression analyses were used in exploring related influencing factors.Results:Participants' mean scores were 96.26 (SD = 21.57) for PTG, 115.30 (SD = 20.82) for professional self-identification, and 66.27 (SD = 12.90) for social support. Multiple regression analysis showed that nurses from other provinces moving to support Hubei Province, professional self-identity, and social support were the main factors affecting nurse stress (p = 0.014, &lt; 0.001, and 0.017, respectively). Professional self-identity and social support were positively correlated with PTG (r = 0.720 and 0.620, respectively).Conclusions:There was a phenomenon of PTG when the nurses faced COVID-19 in Hubei Province. Providing an active coping style helps to improve the level of PTG.