Prevalence of burnout syndrome among anesthesiologists, anesthesia technicians, and intensive care unit nurses in Palestinian hospitals: a cross-sectional study

Abstract

Abstract Background Burnout syndrome is marked by three primary domains: emotional exhaustion, depersonalization, and low personal accomplishment. This study assessed the prevalence of burnout syndrome among anesthesiologists, anesthesia technicians, and intensive care unit (ICU) nurses in Palestinian hospitals. In addition, this study also sought to assess associations and identify the factors that can predict higher burnout among anesthesiologists, anesthesia technicians, and ICU nurses. Methods This study was conducted in a cross-sectional design using a questionnaire between October 2023 and December 2023. The questionnaire collected the demographic variables of the healthcare providers, their living conditions, lifestyle, working conditions, job satisfaction, and intention to change the profession. The healthcare providers were included from 12 different hospitals. Burnout syndrome was assessed using the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS-MP). Results A total of 250 healthcare providers were invited to participate in this study, of those, 212 completed the questionnaire, giving a response rate of 84.8%. Of the healthcare providers, 72 (34.0%) were anesthesiologists, 41 (19.3%) were anesthesia technicians, and 99 (46.7%) were ICU nurses. Of all healthcare providers, 151 (71.2%) reported emotional exhaustion, 125 (59%) reported depersonalization and 145 (68.4%) reported a lack of personal achievement based on the MBI-HSS-MP criteria for burnout. Multiple linear regression showed that higher emotional exhaustion scores could be predicted by the number of working hours per day (p-value = 0.039) and higher depersonalization scores could be predicted by having children (p-value = 0.001). On the other hand, lower personal achievement scores could be predicted by having children (p-value = 0.006), not owning a car (p-value = 0.036), and having more night shifts (p-value = 0.049). Conclusions The findings of this study indicated that burnout syndrome was prevalent among anesthesiologists, anesthesia technicians, and ICU nurses in Palestinian hospitals. Healthcare authorities and professional bodies should consider designing interventions to reduce burnout and improve the psychological well-being of anesthesiologists, anesthesia technicians, and ICU nurses. Further studies are required to identify the most effective interventions for reducing burnout among anesthesiologists, anesthesia technicians, and ICU nurses in Palestine.

Keywords

• Burnout syndrome
• Anesthesiologists
• Anesthesia technicians
• Intensive care unit nurses
• Maslach Burnout Inventory
• Mental health