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Predictors of Burnout in Healthcare Workers during the COVID-19 Pandemic.

Adriana CotelFlorinda GoluAnca Mihaela Pantea StoianMihai Cornel Traian DimitriuBogdan SoceaCatalin Gabriel CirstoveanuAna Maria DavitoiuFlorentina Jacota AlexeBogdan Oprea
Published in: Healthcare (Basel, Switzerland) (2021)
The purpose of this study was to identify the predictors of burnout in healthcare workers during the COVID-19 pandemic. Data were collected from March to June in 2020, during the COVID-19 pandemic, from employees of two Romanian hospitals. Five hundred and twenty-three healthcare workers completed a series of questionnaires that measured burnout, job demands, job resources, and personal resources. Among the respondents, 14.5% had a clinical level of exhaustion (the central component of burnout). Three job demands (work-family conflict, lack of preparedness/scope of practice, emotional demands), three job resources (training, professional development, and continuing education; supervision, recognition, and feedback; autonomy and control), and one personal resource (self-efficacy) were significant predictors of burnout, explaining together 37% of the variance in healthcare workers' burnout. Based on our results, psychological interventions during the COVID-19 pandemic for healthcare employees should focus primarily on these demands and resources.
Keyphrases
  • healthcare
  • social support
  • primary care
  • public health
  • machine learning
  • big data