Frontline nurses' willingness to work during the COVID-19 pandemic: A mixed-methods study.

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.

Medical students' mental health, professional pride, and intention to work in the front-line during coronavirus disease 2019 pandemic. / 2019å† çŠ¶ç— æ¯’ç— å¤§æµè¡ŒæœŸé—´åŒ»å­¦ç”Ÿå¿ƒç†å¥åº·ã€èŒä¸šè‡ªè±ªæ„Ÿä¸Žä¸€çº¿å·¥ä½œæ„æ„¿.

OBJECTIVES: To understand medical students' mental health, professional pride, and intention to work in the front-line during coronavirus disease 2019 (COVID-19) pandemic, and provide a reference for psychological intervention. METHODS: We used the depression-anxiety-stress scale and self-designed questionnaire on professional pride, intention to work in the front-line and the extent of family support. Medical students from 4 medical schools in Fujian and Hunan were investigated. Their mental health status, professional pride and first-line work willingness with different characteristics were compared, and the influential factors for professional pride and first-line work willingness were analyzed. RESULTS: A total of 266 valid questionnaires were collected. During the pandemic, there were significant differences in the proportion of depressed students among different college and universities, majors and stages (P<0.05), and the professional pride was significantly different (P<0.001). Medical students with different mental health status showed significant differences in professional pride (P<0.01). Marriage, pressure and extent of family support were the influential factors for their professional pride (P<0.05). The latter two were also influential factors for their intention to work in the front-line (P<0.05). CONCLUSIONS: During the pandemic, students from college and nursing have relatively better mental health and higher professional pride. The professional pride is low in medical students who married, with abnormal stress or low family support. The intention to work in front-line is decreased in students with abnormal stress or low family support.

Differences of inflammatory and non-inflammatory indicators in Coronavirus disease-19 (COVID-19) with different severity.

Background A variety of inflammatory and non-inflammatory indicators were increased in severe and critical Coronavirus disease-19 (COVID-19) and some of them were used to evaluate the severity and predict prognosis of community-acquired pneumonia. The aim of this study was to investigate the association of these indicators in COVID-19 with different severity. Methods Clinical data of 46 patients with severe COVID-19 and 31 patients with critical COVID-19 were collected. The general characteristics and comorbidities of the patients were retrospectively analyzed. The initial and peak concentrations of serum troponin I (cTnI), D-dimer (D-D), C-reactive protein (CRP), interleukin-6 (IL-6), procalcitonin (PCT), initial and peak neutrophil counts and initial and trough lymphocyte counts were compared between two groups. The correlation between the variation of cTnI, D-D, CRP, IL-6, PCT, neutrophils, lymphocytes and the severity of the disease was analyzed. The efficacy of the initial concentrations of cTnI, D-D, CRP, IL-6, PCT, the initial neutrophil and lymphocyte counts in predicting critical COVID-19 were evaluated by receiver operating characteristic (ROC) curve. Results The initial and peak concentrations of cTnI, D-D, CRP, IL-6, PCT, initial and peak neutrophil counts in critical group were higher than those in severe group, the initial and trough counts of lymphocyte were lower than those in the severe group. Except for the initial level of PCT, the other differences were statistically significant (p < 0.05). The increase of cTnI, D-D, CRP, IL-6, PCT, neutrophils and the decrease of lymphocytes were related to the severity of the disease, OR values were 28.80, 2.20, 18.47, 10.80, 52.00, 9.60 and 21.08, respectively. Except for D-D, the other differences were statistically significant. The areas under ROC curves for predicting critical COVID-19 by initial concentrations of cTnI, D-D, CRP, IL-6, PCT, initial lymphocyte and neutrophil counts were 0.76, 0.78, 0.83, 0.95, 0.56, 0.68 and 0.62, respectively. Conclusions The severe and critical COVID-19 patients had significant differences in concentrations of serum cTnI, D-D, CRP, IL-6, PCT, neutrophil and lymphocyte counts. The increase of cTnI, CRP, IL-6, PCT, neutrophils and decrease of lymphocytes indicated severe condition. The initial IL-6 might be a good indicator of COVID-19 severity.

Air and surface contamination by SARS-CoV-2 virus in a tertiary hospital in Wuhan, China.

BACKGROUND: Few studies have explored air and surface contamination by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in healthcare settings. METHODS: Air and surface samples were collected from the isolation wards and intensive care units designated for coronavirus disease 2019 (COVID-19) patients. Clinical data and the results of nasopharyngeal specimen and serum antibody testing were also collected for the patient sample. RESULTS: A total of 367 air and surface swab samples were collected from the patient care areas of 15 patients with mild COVID-19 and nine patients with severe/critical COVID-19. Only one air sample taken during the intubation procedure tested positive. High-touch surfaces were slightly more likely to be contaminated with SARS-CoV-2 RNA than low-touch surfaces. Contamination rates were slightly higher near severe/critical patients than near mild patients, although this difference was not statistically significant (p > 0.05). Surface contamination was still found near the patients with both positive IgG and IgM. CONCLUSIONS: Air and surface contamination with viral RNA was relatively low in these healthcare settings after the enhancement of infection prevention and control. Environmental contamination could still be found near seroconverted patients, suggesting the need to maintain constant vigilance in healthcare settings to reduce healthcare-associated infection during the COVID-19 pandemic.