Abstract
OBJECTIVE: This survey aims to comprehensively understand occupational burnout among pre-hospital emergency medical personnel and explore associated risk factors. METHODS: A cross-sectional online survey using a census method was conducted between 15 July, 2023, and ends on 14 August, 2023, in Chengdu, SiChuan province, China. The questionnaire included general demographic information, the Maslach Burnout Inventory-General Survey (MBI-GS) with 15 items, and the Fatigue Scale-14 (FS-14) with 14 items. Univariate analysis was conducted on all variables, followed by multivariate logistic regression models to examine the associations between occupational burnout and the risk factors. RESULTS: A total of 2,299 participants,99.57% completed the survey effectively The participants were from 166 medical institutions in Chengdu, comprising 1,420 nurses (61.50%) and 889 clinical doctors (38.50%). A total of 33.36% participants experienced burnout, predominantly mild (30.27%), followed by moderate (2.78%) and severe (0.3%). Physicians, higher fatigue scores, age, work experience appeared to be related to burnout. Logistic regression models revealed that individuals aged over 50 were less prone to experience burnout compared to medical staff aged 18-30 (OR: 0.269, 95% CI: 0.115-0.627, p = 0.002). Physicians were more prone to experience burnout compared to nursing staff (OR: 0.690, 95% CI: 0.531-0.898, p = 0.006). Those with 0-5 years of experience were more prone to experience burnout compared to those with 6-10 years or over 15 years of experience (OR: 0.734, 95% CI: 0.547-0.986, p = 0.040; OR: 0.559, 95% CI: 0.339-0.924, p = 0.023). Additionally, for each 1-point increase in the fatigue score, the likelihood of burnout in medical staff increased by 1.367 times (OR: 1.367, 95% CI: 1.323-1.412, p < 0.0001). CONCLUSION: Pre-hospital emergency medical personnel demonstrate a notable prevalence of mild job burnout. These results provide a groundwork for future focus on the various stages of job burnout within pre-hospital emergency staff, alerting hospital and departmental managers to promptly address the mental well-being of their personnel and intervene as needed.