Aims and objectives: To explore the role of resilience in anxiety and depression and to clarify their relationships among patients with mild symptoms of coronavirus disease 2019 (COVID-19) in Wuhan, China. Background: The outbreak of COVID-19 has negatively affected some individuals, but resilience plays a decisive role in the response of individuals under pressure and can help them deal with pressure more effectively. Design: The cross-sectional descriptive correlational survey was reported in line with the STROBE guidelines. Subject and setting: In total, 296 patients from FangCang Hospital in Wuhan, Hubei, China, with mild symptoms of COVID-19 were recruited. Methods: Participants were recruited through convenience sampling. The data collected included their demographic information, the Connor-Davidson Resilience Scale and Hospital Anxiety and Depression Scale. Results: A small number of patients in this study had above threshold anxiety (subthreshold anxiety and major anxiety) and depression (subthreshold depression and major depression). The mean total resilience score of the participants was slightly below the normal level of ordinary Chinese adults. Resilience was inversely associated with and was a protective factor for both anxiety and depression in our samples. Risk factors for anxiety include being female and having colleagues with COVID-19, while a risk factor for depression was having family members with COVID-19. Conclusions: This study shows that after taking the general demographics into consideration, higher levels of resilience were associated with lower anxiety and depression among mild COVID-19 patients in Wuhan, China. Relevance to clinical practice: Health professionals, especially clinical nurses, need to be aware of the psychological status of COVID-19 patients and promote resilience to improve their mental health. | 4021 ZHANG et Al.

Aim The aim was to examine the subgroups of work engagement in frontline nurses during the COVID‐19 pandemic. Background The pandemic may affect the work engagement of nurses who have direct contact with infected patients and lead to a poor quality of care. Identifying classification features of work engagement and tailoring interventions to support frontline nurses is imperative. Design This study utilized a cross‐sectional study design. Methods Three hundred fifty‐five nurses were enrolled in this cross‐sectional study from 14 February to 15 April 2020. A latent profile analysis was performed to identify classification features of work engagement. Multiple logistic regression analyses were used to examine predictors of profile membership. Results A four‐profile model provided the best fit. The four profiles were titled ‘low work engagement’ ( n = 99), ‘high vigour‐low dedication and absorption’ ( n = 58), ‘moderate work engagement’ ( n = 63) and ‘high work engagement’ ( n = 135). A regression analysis suggested that young nurses and nurses who were the only children of their family were more likely to be in the ‘low work engagement’ and ‘high vigour‐low dedication and absorption’ groups. Conclusion This study highlights the importance of tailoring interventions for frontline supporting nurses by considering their distinct work engagement patterns, especially during the COVID‐19 pandemic, to improve the promotion of work satisfaction and quality of care. Impact This was the first study to explore the latent profiles of work engagement in frontline nurses during the COVID‐19 pandemic. Over 40% of nurses were in the ‘low work engagement’ and ‘high vigour‐low dedication and absorption’ groups and reported low levels of work engagement. Understanding different patterns of work engagement in frontline nurses can help nursing managers provide emotional, material and organizational support based on the features of each latent profile, which may improve the quality of care and patient safety.

Aims To determine psychological symptoms of patients with mild symptoms of coronavirus disease 2019 in China and to explore the influencing factors. Design A cross‐sectional study. Methods A convenience sample of 296 mild coronavirus disease 2019 patients were recruited from a Fangcang hospital in Wuhan, Hubei Province, from 3–5 March, 2020. Participants were assessed using a sociodemographic and clinical characteristics questionnaire, and Symptom Check List 90. The binary logistic regression was utilized to explore the influencing factors of psychological symptoms of patients with mild symptoms of coronavirus disease 2019. Results In total, 296 of 299 patients with mild symptoms of coronavirus disease 2019 participated in the study (response rate: 99.0%). The findings revealed that 12.8% patients with mild symptoms have mental health problems; the most common psychological symptoms are phobic anxiety (58.4%), paranoid ideation (50.7%) and psychoticism (40.2%). Female patients [OR = 3.587, 95% CI (1.694–7.598)] and those having physical symptoms currently [OR = 2.813, 95% CI (1.210–6.539)] are at higher risk, while those in the middle duration of hospitalization [OR = 0.278, 95% CI (0.121–0.639)] protect against mental‐health problems. Conclusions The minority of patients with mild symptoms of coronavirus disease 2019 were still suffering from psychological symptoms. Healthcare providers are recommended to pay particular attention to screening these high‐risk groups (women, those in the initial stages of hospitalization and those with physical symptoms currently) and implement targeted psychological care as required. Impact This study found that most patients of coronavirus disease 2019 in Fangcang hospital exhibited normal mental health at par with the general Chinese norm and the minority of them were suffering from psychological symptoms. The findings can provide a reference for healthcare providers to screen high‐risk psychological symptoms groups and implement targeted psychological intervention for patients with coronavirus disease 2019.

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