During the Coronavirus Disease 2019 (COVID-19) pandemic, frontline nurses face enormous mental health challenges. Epidemiological data on the mental health statuses of frontline nurses are still limited. The aim of this study was to examine mental health (burnout, anxiety, depression, and fear) and their associated factors among frontline nurses who were caring for COVID-19 patients in Wuhan, China. A large-scale cross-sectional, descriptive, correlational study design was used. A total of 2,014 eligible frontline nurses from two hospitals in Wuhan, China, participated in the study. Besides sociodemographic and background data, a set of valid and reliable instruments were used to measure outcomes of burnout, anxiety, depression, fear, skin lesion, self-efficacy, resilience, and social support via the online survey in February 2020. On average, the participants had a moderate level of burnout and a high level of fear. About half of the nurses reported moderate and high work burnout, as shown in emotional exhaustion (n = 1,218, 60.5%), depersonalization (n = 853, 42.3%), and personal accomplishment (n = 1,219, 60.6%). The findings showed that 288 (14.3%), 217 (10.7%), and 1,837 (91.2%) nurses reported moderate and high levels of anxiety, depression, and fear, respectively. The majority of the nurses (n = 1,910, 94.8%) had one or more skin lesions, and 1,950 (96.8%) nurses expressed their frontline work willingness. Mental health outcomes were statistically positively correlated with skin lesion and negatively correlated with self-efficacy, resilience, social support, and frontline work willingness. The frontline nurses experienced a variety of mental health challenges, especially burnout and fear, which warrant attention and support from policymakers. Future interventions at the national and organisational levels are needed to improve mental health during this pandemic by preventing and managing skin lesions, building self-efficacy and resilience, providing sufficient social support, and ensuring frontline work willingness.

Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

Women with breast cancer undergoing chemotherapy suffer from a number of symptoms and report receiving inadequate support from health care professionals. Innovative and easily accessible interventions are lacking. Breast Cancer e-Support is a mobile Application program (App) that provides patients with individually tailored information and a support group of peers and health care professionals. Breast Cancer e-Support aims to promote women’s self-efficacy, social support and symptom management, thus improving their quality of life and psychological well-being. A single-blinded, multi-centre, randomised, 6-month, parallel-group superiority design will be used. Based on Bandura’s self-efficacy theory and the social exchange theory, Breast Cancer e-Support has four modules: 1) a Learning forum; 2) a Discussion forum; 3) an Ask-the-Expert forum; and 4) a Personal Stories forum. Women with breast cancer (n = 108) who are commencing chemotherapy will be recruited from two university-affiliated hospitals in China. They will be randomly assigned to either control group that receives routine care or intervention group that receives routine care plus access to Breast Cancer e-Support program during their four cycles of chemotherapy. Self-efficacy, social support, symptom distress, quality of life, and anxiety and depression will be measured at baseline, then one week and 12 weeks post-intervention. This is the first study of its kind in China to evaluate the use of a mobile application intervention with a rigorous research design and theoretical framework. This study will contribute to evidence regarding the effectiveness of a theory-based mobile application to support women with breast cancer undergoing chemotherapy. The results should provide a better understanding of the role of self-efficacy and social support in reducing symptom distress and of the credibility of using a theoretical framework to develop internet-based interventions. The results will provide evidence to support the implementation of an innovative and easily accessible intervention that enhances health outcomes. ACTRN: ACTRN12616000639426 , Registered 17 May, 2016.

Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

Aim: Frontline nurses’ willingness to work has significant implications for maintaining workforce stability and quality of care during the COVID‐19 pandemic; however, few studies have investigated their willingness and the corresponding reasons. This study aims to examine frontline nurses’ willingness to work, identify its predictors and explore its corresponding reasons.Design: A mixed‐methods design was conducted.Methods: Based on a multilevel behavioural‐diagnostic model, a questionnaire survey was used to collect quantitative and qualitative data concurrently from 13 February to 24 February 2020 to explore frontline nurses’ willingness to work and the corresponding reasons in two hospitals in Wuhan, China. One was a designated hospital which only received COVID‐19 patients, and the other was built up temporarily for COVID‐19 patients.Results: Of the 2014 participants, most (n = 1950, 96.8%) indicated their willingness to work, and a few (n = 64, 3.2%) expressed their unwillingness. Binary logistic regression analysis identified five predictors of participants’ willingness to work, including monthly family income, average working hours per shift, belief in their colleagues’ preparedness, belief in their hospitals’ preparedness and levels of depression. These indicators explained 27% of the variance (p < .05). Frontline nurses’ willingness to work mainly arose from professional commitment, patriotism and faith, while unwillingness to do so primarily stemmed from safety concerns and family responsibility.Conclusion: Most frontline nurses were willing to work and showed great professional commitment.Impact: Professional commitment and patriotism were two important individual‐level factors affecting frontline nurses’ willingness to work during a pandemic. Strategies should be implemented, such as appreciating and acknowledging their contribution, rewarding their valuable work, arranging reasonable working hours, enhancing colleagues’ and hospitals’ preparedness, and providing emotional support. Moreover, adequate personal protective equipment, self‐protection training and social support should be ensured to address frontline nurses’ safety concerns and family responsibility.