Burnout and predictive factors among medical students: a cross-sectional survey

Abstract Background Burnout is a growing problem in medical education, and is usually characterised by three dimensions: emotional exhaustion, cynicism, and reduced professional efficacy. Currently, the majority of burnout studies have been conducted in western high-income countries, overshadowing findings from low- and middle-income countries. Our objective is to investigate burnout and its associated predictive factors in Morocco, aiming to guide intervention strategies, while also assessing differences between the preclinical and clinical years. Methods A cross-sectional, self-administered online survey assessing burnout dimensions and its main determinants was distributed among medical students at Université Mohammed VI des Sciences et de la Santé (UM6SS, Casablanca, Morocco). Descriptive analyses involved computing mean scores, standard deviations and Pearson correlations. Further, t-tests were performed to check for significant differences in burnout dimensions across the preclinical and clinical learning phase, and stepwise linear regression analyses were conducted using a backward elimination method to estimate the effects of the selected variables on the three burnout dimensions. Results A t-test assessing the difference in cynicism found a significant difference between students at the preclinical phase and the clinical phase, t(90) = -2.5, p = 0.01. For emotional exhaustion and reduced professional efficacy no significant difference was observed. A linear regression analysis showed that emotional exhaustion was significantly predicted by workload, work-home conflict, social support from peers and neuroticism. Cynicism was predicted by the learning phase, workload, meaningfulness and neuroticism; and reduced professional efficacy by neuroticism only. Conclusions Our findings suggest a potential gradual increase in cynicism during medical education in Morocco. Conducting this study in a low- and middle income country has enhanced the scientific understanding of burnout in these regions. Given the identified predictive factors for burnout, such as workload, work-home conflict, support from peers, neuroticism, and meaningfulness, it is necessary to focus on these elements when developing burnout interventions.