In the context of deepening healthcare reform and advancing the high-quality development of public hospitals, constructing a supervision system aligned with the modern hospital management system has become essential for ensuring strategic implementation and improving governance effectiveness. This paper systematically examines the three foundational pillars of such a system: the theoretical foundation grounded in scientific management principles, the historical foundation rooted in China’s governance traditions and the Communist Party’s experience in policy execution, and the practical foundation driven by the persistent challenge of “policy implementation gaps.” It further elucidates the internal logic of the supervision system as an integrated framework comprising four interrelated dimensions: core conceptual constructs, multi-dimensional value orientations, foundational coordination mechanisms, and innovative operational practices. Furthermore, the study proposes a strategic pathway centered on “renewing institutional momentum, optimizing structural design, empowering through digital technologies, and advancing systemic reforms,” thereby providing theoretical insights and practical guidance for the standardized development and refined enhancement of supervision mechanisms in modern hospitals.
Objective To preliminarily construct a scientific, effective and applicable quality evaluation index system for Party building work in public hospitals of China. Methods Based on quality management theory, literature and policy research before June 2022, combining qualitative research methods including in-depth individual interviews, focus group discussions, and the modified Delphi method, and grounded in theoretical analysis and field investigations, this study constructed a quality evaluation index system for Party building work in public hospitals in the context of high-quality development. Results A quality evaluation index system for Party building work in public hospitals was developed, consisting of 6 primary indicators, 16 secondary indicators, and 36 tertiary indicators. Among the 36 tertiary indicators, 20 were qualitative and 16 were quantitative. Further refinement led to the proposal of 8 core indicators, expanding the applicability of the index system. Conclusion This study provides robust support for further improving the quality evaluation index system for Party building work in public hospitals in China, offering both theoretical foundations and practical guidance for comprehensive evaluation and comparative analysis of Party building work quality and performance across different regions.
ObjectiveTo investigate the network structure of comorbid depression and anxiety symptoms among medical staff and analyze differences across institutional types. MethodsA convenience sampling method was used to select medical staff from medical institutions at various levels in Guang'an City as participants between August 10 and 15, 2024. General demographic questionnaires, the Chinese version of the Patient Health Questionnaire (PHQ-9) for depression screening, and the Chinese version of the Generalized Anxiety Disorder Scale (GAD-7) were used to survey them. The study aimed to analyze the influencing factors of anxiety and depression and construct a network model. Predictability, bridging strength, and node strength were used to assess the network structure. The non-parametric bootstrap method was employed to evaluate the accuracy and stability of the network, and finally, a Network Comparison Test (NCT) was used to examine the impact of different levels of healthcare institutions on the network model. ResultsA total of 889 participants were included in the study. The analysis showed that the incidence of depressive symptoms (PHQ-9≥5) among healthcare workers was 44.88%, while the incidence of anxiety symptoms (GAD-7≥5) was 43.98%, with a comorbidity rate of 36.67%. Network analysis revealed that the top three symptoms with the highest node strength were difficulty relaxing (A4), excessive worry (A3), and fatigue (D4). The top three symptoms with the highest bridging strength were irritability/anger (A6), fatigue (D4), and worrying about terrible things happening (A7). The different levels of healthcare institutions did not have a significant impact on the network model. ConclusionThe central symptoms (such as difficulty relaxing, excessive worry, and fatigue) and key bridging symptoms (such as irritability/anger, fatigue, and worrying about terrible things happening) in the anxiety and depression symptom network can serve as potential intervention targets for healthcare workers at risk of depressive and anxiety symptoms.
