Burnout in Italian anesthesiologists and intensivists during the COVID-19 pandemic: a national survey.

Background: COVID-19 pandemic added additional burden upon healthcare systems and anesthesiology and intensive care physicians (AI) who possessed crucial expertise for dealing with the pandemic. Aim of the study was to uncover specific burnout patterns among Italian AI, exploring the hypothesis that burnout has a multicluster structure. Differences in social and professional characteristics between burnout patterns were explored.

COVID-19 pandemic burnout in an Italian sample of anaesthesiologists: coping strategies, resilience and the capability of tolerating the uncertainty as preventing factors.

The present study aims to explore the prevalence of burnout characteristics and their association with resilience, coping strategies, and the intolerance of uncertainty dimensions. It also aims to explore the predictive effect of these variables on burnout dimensions, separately. Through the SurveyMonkey platform, 1,009 anaesthesiologists completed the Maslach Burnout Inventory (MBI), Resilience Scale, Intolerance of Uncertainty Scale Short Form (IU), and the Coping Inventory for Stressful Situations (CISS).

From Resilience to Burnout in Healthcare Workers During the COVID-19 Emergency: The Role of the Ability to Tolerate Uncertainty.

The COVID-19 outbreak has placed extraordinary demands upon healthcare systems worldwide. Italy's hospitals have been among the most severely overwhelmed, and as a result, Italian healthcare workers' (HCWs) well-being has been at risk. The aim of this study is to explore the relationships between dimensions of burnout and various psychological features among Italian healthcare workers (HCWs) during the COVID-19 emergency.