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Background: Burnout in the hospital environment is a problem that affects care and training. Often explored in the high-income medical context, burnout is poorly studied in low and middle-income countries characterized by a precarious hospital situation and a high stake linked to the Millennium Development Goals. The aim of our study was to determine in medical practitioners, in a sub-Saharan African country's medical context, the burnout level and associated factors.
Methods: A prospective cross-sectional study by using a self-administered Likert-scale questionnaire addressed to doctors and doctoral medical students in Gabon. Maslach Burnout Inventory scale has been used. Burnout symptoms were defined by high level in at least one of the 3 dimensions. Severe burnout defined by high level in all dimensions. Explored factors: socio-demographic and psychometric. Multiple logistic regression has been performed.
Results: Among 104 participants, severe burnout prevailed at 1.9% (95% CI: 0.2-6.8%) and burnout symptoms at 34.6% (95% CI: 25, 6-44.6%). The associated factors with burnout symptoms: age (OR = 0.86, p = 0.004), clinical activity in a university hospital center (OR = 5.19, p = 0.006), the easy access to the hospital (OR = 0.59, p = 0.012), number of elderly dependents living with the practitioner (OR = 0.54, p = 0.012), place of residence (same borough where the hospital is located: OR = 4.09, p = 0.039) and to be favorable to traditional medicine (OR = 1.82, p = 0.087). Nagelkerke's R-squared:53.1%.
Conclusion: In Gabon, middle-income country, almost one practitioner in two has burnout symptoms. The young age, the university hospital center, the difficulty to access to hospital and to live in the borough where the hospital is located increase the probability of burnout symptoms. These results must put question to relevant authorities regarding health and medical education, to set up: a public transport for practitioners, an optimal primary health care system, a regulation of medical tasks in hospitals, a training in clinical supervision.
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http://dx.doi.org/10.1186/s12909-020-02194-2 | DOI Listing |
Clin Epigenetics
September 2025
Department of Psychiatry and Psychotherapy, Philipps University Marburg, Marburg, Germany.
Background: Work-related stress is a well-established contributor to mental health decline, particularly in the context of burnout, a state of prolonged exhaustion. Epigenetic clocks, which estimate biological age based on DNA methylation (DNAm) patterns, have been proposed as potential biomarkers of chronic stress and its impact on biological aging and health. However, their role in mediating the relationship between work-related stress, physiological stress markers, and burnout remains unclear.
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September 2025
Samantha Saggese practices in the Division of Nephrology and Hypertension at Northwestern Memorial Hospital and is system advanced practice provider liaison to the Office of Well-being at Northwestern Medicine, both in Chicago, IL. Alexander Hembrey practices orthopedic surgery and is APP program ma
Objective: This study aimed to measure the impact of adverse events (AEs) on advanced practice provider (APP) well-being and to describe symptoms of second victim syndrome (SVS) among this group of healthcare professionals.
Methods: A survey was designed to measure the incidence of AEs among APPs employed at a large healthcare system and AE impact on emotional, physical, and professional well-being. It also measured burnout, callousness, and the desire for peer support among APPs who had experienced AEs and those who had not.
BMJ Public Health
September 2025
Affiliated to Wenzhou Medical University, Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Linhai, China.
Objective: The aim of this study is to analyse the factors affecting medical burnout in hospitals, identify the characteristics of staff experiencing high levels of burnout and devise a practical and sustainable prediction mechanism.
Methods: A survey was conducted to access the current situation, followed by a regression analysis using data from the Maslach Burnout Inventory General Survey, demographic information related to healthcare personnel and employee job satisfaction metrics from the hospitals under study. Subsequently, four predictive models-logistic regression, K-nearest neighbour, decision tree and random forest (RF)-were employed to predict the degree of healthcare burnout.
Front Med (Lausanne)
August 2025
Department of Oncology, Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: This study evaluates how AI enhances EHR efficiency by comparing a lung cancer-specific LLM with general-purpose models (DeepSeek, GPT-3.5) and clinicians across expertise levels, assessing accuracy and completeness in complex lung cancer pathology documentation and task load changes pre-/post-AI implementation.
Methods: This study analyzed 300 lung cancer cases (Shanghai Chest Hospital) and 60 TCGA cases, split into training/validation/test sets.
Front Public Health
September 2025
Department of Neurology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Objective: To investigate the neural and molecular correlates of occupational burnout in nurses by integrating resting-state fMRI (rs-fMRI), clinical assessments, brain-wide gene expression, and neurotransmitter atlases.
Methods: Fifty-one female nurses meeting burnout criteria and 51 matched healthy controls underwent 3 T rs-fMRI. We analyzed fractional amplitude of low-frequency fluctuations (fALFF) and seed-based functional connectivity (FC), correlating findings with burnout (emotional exhaustion [EE], depersonalization [DP], and personal accomplishment [PA]).