Investigation Of Burnout Levels And Their Relationship With Serum S100B Levels İn Emergency Department Staff

Abstract

Objective: Burnout syndrome is characterized by physical, emotional, and mental symptoms. This study aims to investigate the relationship between S100B protein levels and burnout syndrome and depression in emergency department staff. Materials and Methods: The study included nurses and paramedics working in the emergency department of our university hospital. Depression levels and burnout severity were assessed using the Beck Depression Inventory (BDI) and the Maslach Burnout Inventory (MBI) before shifts. Blood samples were collected before and after shifts to measure S100B levels. Results were compared with S100B levels, and data were analyzed using SPSS. Results: The study included 29 nurses (65.9%) and 15 paramedics (34.1%). Participants had an average emotional exhaustion score of 27.2 ± 7.4 (median (IQ) = 28 (22.3-33.0)), depersonalization score of 11.3 ± 4.1 (median (IQ) = 11 (9.0-13.8)), and personal accomplishment deficiency score of 30.0 ± 6.4 (median (IQ) = 28.5 (25.0-35.8)). The average BDI score was 34.4 ± 8.0 (median (IQ) = 33.5 (29.0-36.8)). Pre-shift S100B levels were 77.0 ± 21.8 (median (IQ) = 72.4 (66.4-80.6)), while post-shift S100B levels were 113.0 ± 129.6 (median (IQ) = 72.5 (65.7-87.8)). A statistically significant increase in S100B levels was observed between pre- and post-shift (p = 0.046). However, there was no significant correlation between post-shift serum S100B levels and emotional exhaustion, depersonalization, personal accomplishment deficiency, or BDI scores (p > 0.05). Conclusion: Although there is a significant change in S100B levels before and after shifts, S100B levels are not correlated with BDI scores and MBI dimensions. These findings suggest that while S100B may not be a long-term predictor of burnout and depression in emergency staff, it could be used to determine shift durations for effective management.