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Apr 22, 2025;15 (1): 13936.

Analysis the status and spatio-temporal characteristics of the synergistic development of China's multi-level medical insurance system.

Zenghui Qiu, Meiling Fu, Lanfang Liu, Lan Yao, Shanshan Yin, Wen Chen, Jingjing Huang, Jiahui Jin
Author Information
  1. Zenghui Qiu: The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 40030, China.
  2. Meiling Fu: The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 40030, China.
  3. Lanfang Liu: Shenzhen Health Development Research and Data Management Center, Shenzhen, 518028, China.
  4. Lan Yao: The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 40030, China. lanyao@mails.tjmu.edu.cn.
  5. Shanshan Yin: The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 40030, China.
  6. Wen Chen: The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 40030, China.
  7. Jingjing Huang: The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 40030, China.
  8. Jiahui Jin: The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 40030, China.
PMID: 40263485 DOI: 10.1038/s41598-025-96922-7

Abstract

Examined the synergistic development and spatio-temporal evolution of China's multi-level medical insurance system (MMIS) on a macroscopic level. We assess the comprehensive development of the MMIS across China's 31 provinces from 2011 to 2020 by constructing a comprehensive indicators evaluation model. Subsequently, a coupling coordination index (CCI) model is employed to provide precise insights into the coupling coordination effects among various medical insurance schemes comprising MMIS. Lastly, spatial autocorrelation analysis is conducted to evaluate both the global and local spatio-temporal evolutionary characteristics of MMIS. The CCI of MMIS at the national average level exhibited a fluctuating upward trend, progressing from the moderate disorder recession degree (0.287) in 2011 to the well-coordinated degree (0.887) in 2020. However, the majority of provinces (83.87%) still lingered within the realm of barely coordinated degree ([0.500-0.600]). Specifically, the CCI within the eastern coastal region surpassed that of the western and central regions, with the central region showing the most pronounced increase in CCI. Over the past decade, MMIS demonstrated significant spatial agglomeration, as evidenced by the global Moran's I ranging from [0.1668-0.3037]. Furthermore, findings from local spatial autocorrelation analysis suggest a gradual attenuation in the spatial clustering disparity of CCI across various provinces. Government ought to focus on the spatio-temporal evolution patterns of MMIS, and strengthen cooperation between the government and market in health governance, while utilizing information technology and data sharing to improve the overall quality of medical insurance benefits.

Keywords

Coupling coordination index Health financing Health governance Multi-level medical insurance system Spatio-temporal evolution characteristics Universal health coverage

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Grants

  1. 72074090/National Natural Science Foundation of China

MeSH Term

China
Insurance, Health
Humans
Spatio-Temporal Analysis
Journal Article

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