ABSTRACT
BACKGROUND: During the Covid-19 pandemic, nurses experienced increased pressure. Consequently, ethical concerns and psychological distress emerged. This study aimed to assess nurses' ethical conflict, resilience and psychological impact, and compare these variables between nurses who worked in Covid-19 wards and nurses who did not. METHODS: Design-Multicentre online survey. Setting-Multi-site public hospital; all nursing staff were invited to participate. The survey included validated tools and a novel instrument to assess ethical conflict. Spearman's rho coefficient was used to assess correlations between ethical conflict and psychological distress, logistic regressions to evaluate relationships between nurses' characteristics and outcome variables, and the Mann-Whitney/t-test to compare groups. RESULTS: 548 questionnaires out of 2039 were returned (275 = Covid-19; 273 = non-Covid-19). We found a low-moderate level of ethical conflict (median = 111.5 [76-152]), which emerged mostly for seeing patients dying alone. A moderate and significant positive correlation emerged between ethical conflict and psychological distress rs (546) = 0.453, p < 0.001. Nurses working in Covid-19-ICUs (OR = 7.18; 95%CI = 3.96-13.01; p < 0.001) and Covid-19 wards (OR = 5.85; 95%CI = 3.56-9.6; p < 0.001) showed higher ethical conflict. Resilience was a protective factor for ethical conflict. CONCLUSIONS: Ethical conflict was significantly linked to psychological distress, while a higher level of resilience was found to be a protective factor. These results can be informative for nursing management in future similar crises.
Subject(s)
COVID-19 , Nurses , Cross-Sectional Studies , Hospitals, Public , Humans , Pandemics , SARS-CoV-2 , Surveys and Questionnaires , SwitzerlandABSTRACT
BACKGROUND: The majority of prevalence studies on deep vein thrombosis (DVT) in severe COVID-19 patients are retrospective with DVT assessment based on clinical suspicion. Our aim was to prospectively and systematically estimate the occurrence of DVT in critically-ill mechanically-ventilated patients, and to identify potential risk factors for DVT occurrence and mortality. METHODS: All patients with COVID-19 admitted to our 45 beds in the Intensive Care Unit (ICU) between March 6, 2020, and April 18, 2020, requiring invasive ventilatory support were daily screened for DVT with lower extremities and jugular veins ultrasonography. Univariate and multivariable logistic regression models were performed in order to identify predictors of DVT and mortality. RESULTS: Seventy-six patients were included in the final analysis (56 men, mean age 67 years, median SOFA=7 points, median SAPS II=41 points, median PaO