Proceedings of The 6th International Conference on Modern Approaches in Humanities and Social sciences
The Comparison of the Copenhagen Burnout Inventory and the Maslach Burnout Inventory in Evaluation of Professional Stress and Burnout among Medical Specialists in Lithuania
Irmantas Aleksa, Natalija Šertvytienė
Purpose: The objective of this study was to assess psychosocial work factors in various Lithuanian healthcare centres and compare healthcare professionals in terms of experienced professional stress and their health status. Methods: An observational study was conducted using an anonymous online questionnaire. Healthcare specialists from multiple Lithuanian healthcare institutions were included in the study. The study utilized combined scales from the Maslach Burnout Inventory (MBI) and the Copenhagen Burnout Inventory (CBI) to measure burnout levels. These scales provided a standardized assessment of professional stress among medical employees, enabling a comprehensive analysis of subjectively evaluated burnout. Data: A total of 310 healthcare professionals from different healthcare centres participated in the study. Data analysis was performed using SPSS 26.0 Version. Normality of the data was confirmed using the Kolmogorov-Smirnov Test, and parametric tests such as Student’s t-test and ANOVA F-test were used to evaluate means. Correlations between MBI and CBI scores were analysed using Pearson’s r coefficient. The MBI and CBI results were further analysed to identify the more reliable questionnaire for defining burnout among medical workers. Results: The study findings indicated a high prevalence of severe burnout among medical workers. More than one-fifth of healthcare professionals reported experiencing severe burnout. However, employees in their forties tended to experience lower levels of burnout. Older staff members were more likely to experience depersonalization, indicating emotional detachment. Regional hospital workers demonstrated better psychological states compared to other healthcare settings. Significant correlations (p < 0.05) were found among all burnout scores, with emotional exhaustion showing the strongest influence on total burnout (r = 0.867).
keywords: occupational stress, medical informatics, health professionals, health status, burnout