Analysis of the Coupling Coordination Degree and Spatial Characteristics of Collaboration between Medical Care and Public Health in China

Corresponding author: mengkai, mengkai@ccmu.edu.cn

DOI: 10.12201/bmr.202608.00030

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  Abstract: 【Abstract】Objective: To analyze the coupling coordination level of medical and preventive care integration in China, reveal the patterns of its spatio-temporal evolution and spatial characteristics, and provide a reference for optimizing policies related to the integration of medical and preventive care. Methods: Based on the literature research method, an evaluation index system was constructed. The entropy weight method and the coupling coordination degree (CCD) model were applied to calculate the CCD of medical and preventive care integration. Furthermore, Global and Local Moran’s I indices were employed to analyze its spatial characteristics. Results: From 2013 to 2023, the average CCD of medical and preventive care in China fluctuated slightly between 0.4879 and 0.5073, remaining in a plateau phase transitioning from “borderline dysregulation” to “barely coordinated”. The spatial pattern exhibited unbalanced characteristics described as “high-value agglomeration in the East, stability in the Central region, polarization in the West ,and degradation in the Northeast”. The CCD among provinces exhibited a positive spatial correlation and spatial heterogeneity, characterized by the long-term stable coexistence of High-High (HH) and Low-Low (LL) clusters. Conclusion: The overall level of medical and preventive care integration in China is relatively low with slow progress, significant regional differentiation, and prominent spatial agglomeration effects. It is recommended to establish normalized synergistic mechanisms in areas such as organizational management, financing and payment, and information sharing. Implementing differentiated policies based on regional classifications is essential to drive the transition of medical and preventive care integration from being “policy-driven” to “institution-driven.”

  Key words: Collaboration between medical care and public health；Coupling and coordination；Spatial autocorrelation；Regional differences

  Submit time: 16 August 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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