Burnout pathway differences across dual-track residency training: a network analysis
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute (China-INI), Capital Medical University
- 2Department of Acupuncture and Moxibustion, Beijing Huguosi TCM Hospital, Affiliated with Beijing University of Chinese Medicine
- 3Department of Neurosurgery, Sanbo Hospital, Capital Medical University
Abstract
Background: China’s standardized residency training operates under a dual-track system: one track integrates clinical training with concurrent degree pursuit (student group), while the other is purely vocational without degree conferral (non-student group). Prior burnout research has largely relied on aggregate total or subscale scores, which cannot detect qualitative differences in symptom-to-symptom connectivity even when mean burnout severity is similar. Despite identical clinical rotations and competency requirements, it remains unclear whether these structurally distinct training pathways are associated with different burnout symptom-connectivity patterns, with direct implications for track-specific educational support.
Methods: We conducted a secondary analysis of data from Fan et al.’s previously published cross-sectional survey of 636 residents from a Chinese tertiary teaching hospital. Burnout was measured using the 22-item Maslach Burnout Inventory-Human Services Survey (MBI-HSS). Networks were estimated using Graphical Lasso, and bridge centrality was computed to identify symptoms that most strongly connect burnout dimensions. Analyses were stratified by gender and specialty, and supplemented by logistic regression and bootstrap resampling.
Results: Non-students showed higher emotional exhaustion and lower personal accomplishment scores than students, whereas depersonalization scores did not differ significantly between groups. Burnout prevalence was higher among non-students (50.2% vs. 42.4%), but this difference was not statistically significant. In both groups, DP2 (“I don’t really care what happens to patients”) was the dominant bridge node. However, PA4 (“I don’t easily understand how my patients feel”) entered the top five bridge items only in non-students. Three of four subgroups followed the DP2 pathway, whereas non-student males showed a distinct pattern with PA4 as the most prominent feature (BS = 1.445). Logistic regression found no significant association between training identity and burnout status after adjustment (OR = 1.07; ΔAUC = +0.002, p = 0.68), whereas network analyses revealed distinct symptom-connectivity patterns.
Conclusion: These findings suggest that burnout prevention should account for training structure and institutional context. Rather than uniform wellness programs, medical education should offer track-specific support, particularly for residents whose burnout is characterized by empathy-related frustration rather than depersonalization.
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BibTeX
@article{guo2026burnout,
title = {{Burnout pathway differences across dual-track residency training: a network analysis}},
author = {Yuduo Guo and Xiaonan Meng and Sichang Chen and Xiaoning Lan and Haoyuan Guo and Mingchu Li},
journal = {Frontiers in Public Health},
year = {2026},
month = oct,
doi = {10.3389/fpubh.2026.1921620},
url = {https://www.frontiersin.org/articles/10.3389/fpubh.2026.1921620/full},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Burnout pathway differences across dual-track residency training: a network analysis
AU - Yuduo Guo
AU - Xiaonan Meng
AU - Sichang Chen
AU - Xiaoning Lan
AU - Haoyuan Guo
AU - Mingchu Li
PY - 2026
DA - 2026/10/13
JO - Frontiers in Public Health
DO - 10.3389/fpubh.2026.1921620
UR - https://www.frontiersin.org/articles/10.3389/fpubh.2026.1921620/full
AB - Background: China’s standardized residency training operates under a dual-track system: one track integrates clinical training with concurrent degree pursuit (student group), while the other is purely vocational without degree conferral (non-student group). Prior burnout research has largely relied on aggregate total or subscale scores, which cannot detect qualitative differences in symptom-to-symptom connectivity even when mean burnout severity is similar. Despite identical clinical rotations and competency requirements, it remains unclear whether these structurally distinct training pathways are associated with different burnout symptom-connectivity patterns, with direct implications for track-specific educational support. Methods: We conducted a secondary analysis of data from Fan et al.’s previously published cross-sectional survey of 636 residents from a Chinese tertiary teaching hospital. Burnout was measured using the 22-item Maslach Burnout Inventory-Human Services Survey (MBI-HSS). Networks were estimated using Graphical Lasso, and bridge centrality was computed to identify symptoms that most strongly connect burnout dimensions. Analyses were stratified by gender and specialty, and supplemented by logistic regression and bootstrap resampling. Results: Non-students showed higher emotional exhaustion and lower personal accomplishment scores than students, whereas depersonalization scores did not differ significantly between groups. Burnout prevalence was higher among non-students (50.2% vs. 42.4%), but this difference was not statistically significant. In both groups, DP2 (“I don’t really care what happens to patients”) was the dominant bridge node. However, PA4 (“I don’t easily understand how my patients feel”) entered the top five bridge items only in non-students. Three of four subgroups followed the DP2 pathway, whereas non-student males showed a distinct pattern with PA4 as the most prominent feature (BS = 1.445). Logistic regression found no significant association between training identity and burnout status after adjustment (OR = 1.07; ΔAUC = +0.002, p = 0.68), whereas network analyses revealed distinct symptom-connectivity patterns. Conclusion: These findings suggest that burnout prevention should account for training structure and institutional context. Rather than uniform wellness programs, medical education should offer track-specific support, particularly for residents whose burnout is characterized by empathy-related frustration rather than depersonalization.
SN - 2296-2565
ER -