Network analysis of work-family support and career identity and their associations with job burnout among primary healthcare workers: a cross-sectional study

工作-家庭支持和职业认同的网络分析及其与基层医疗工作者职业倦怠的关系:一项横断面研究

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Abstract

OBJECTIVE: To explore the complex associations between job burnout, career identity, and work-family support among primary healthcare workers from a network perspective. METHODS: Data were sourced from primary healthcare institutions in China's central provinces. We used the Maslach Burnout Inventory Comprehensive Survey, a career identity scale tailored for primary healthcare workers, and the Chinese version of the Work-Family Support Questionnaire. A Gaussian network model was used to identify key factors, with "central nodes" being those that strongly influence others and "bridge nodes" connecting different parts of the network. RESULTS: Of the 8,135 participants surveyed, 5,120 (62.9%) reported job burnout. Compared to those with burnout, the non-burnout group scored higher in career identity, family support, and work support (54.29 vs. 49.42; 71.58 vs. 61.26; 35.03 vs. 31.20; p < 0.001). Network analysis revealed structural differences in the burnout-support-identity networks between groups after propensity score matching (M = 0.261, p < 0.001). In both groups, "understanding of role, content and requirements" were central nodes, while "work and family support" served as bridge nodes. Burnout was closely related to work support, family support, job suitability, and media criticism. CONCLUSION: Targeting central and bridge nodes can help reduce job burnout among primary healthcare workers.

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