Prevalence and risk factors of Burnout syndrome among intensive care unit members during the second wave of COVID-19: a single-center study

Einstein (Sao Paulo). 2024 Sep 2:22:eAO0271. doi: 10.31744/einstein_journal/2024AO0271. eCollection 2024.

Abstract

Objective: To evaluate the prevalence of burnout among the intensive care unit team of a university hospital after the second wave of COVID-19 and identify the key factors associated with its development.

Methods: This single-center study included 395 employees from a multidisciplinary team. The participants completed a questionnaire based on the Maslach Burnout Inventory. Multivariate analysis was used to identify the factors associated with burnout.

Results: Of 395 participants, 220 responded to the questionnaire (response rate: 56%). The prevalence of Burnout syndrome, defined as a severe score in at least one dimension, was 64.5% (142/220). Emotional distress was the most prevalent dimension, with a severe score affecting 50.5% (111/220) of the participants, followed by depersonalization at 39.1% (86/220). Only 5.9% (13/220) had severe scores in all three dimensions. Multivariate analysis revealed that being a physician was significantly associated with severe burnout symptoms in at least one dimension (odds ratio (OR), 1.32; 95% confidence interval (95%CI): 1.57-9.05; p=0.003). Additionally, having two or more jobs was associated with burnout in the three dimensions (OR=1.65; 95%CI=1.39-19.59; p=0.01).

Conclusion: This study highlights the alarming prevalence of burnout among intensive care unit teams, particularly among physicians, following the second wave of COVID-19. This emphasizes the need for targeted interventions and support systems to mitigate burnout and reduce its negative impact on healthcare professionals' well-being and patient care.

MeSH terms

  • Adult
  • Brazil / epidemiology
  • Burnout, Professional* / epidemiology
  • Burnout, Professional* / psychology
  • COVID-19* / epidemiology
  • COVID-19* / psychology
  • Cross-Sectional Studies
  • Female
  • Hospitals, University / statistics & numerical data
  • Humans
  • Intensive Care Units* / statistics & numerical data
  • Male
  • Middle Aged
  • Pandemics
  • Prevalence
  • Risk Factors
  • SARS-CoV-2
  • Surveys and Questionnaires