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A Study of the Spatial Network Structure of the Health Economy in China: Regional Health Inequality and Patient Mobility

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Abstract Background: The distribution of medical resources in China is seriously imbalanced due to imbalanced economic development in the country. To meet the challenges presented by increasing demand and unevenness in medical resources, the primary goal of health system reform is to eliminate spatial disproportion. Against this background, this study aims to assess the distribution characteristics of regional medical resources and the effects of regional imbalances.Methods: Data for this study were drawn from the China Health Statistical Yearbooks and China Statistical Books . The gravitational value of China’s health spatial network was calculated to establish a network of gravitational relationships. The social network analysis method is used for centrality analysis and spillover effect analysis. Based on the gravitational value, we used indicators for visits, health expenditure, GDP and geographical distance, as well as an illustrative index for the population, bed utilization, and burden of consultations per day. Results: A gravity correlation matrix was constructed among provinces by calculating the gravitational value, indicating the spatial relationships of different provinces in the health economic network. Economically developed provinces, such as Shanghai and Jiangsu, are at the centre of the health economic network (centrality degree=93.333). These provinces also play a strong intermediary role in the network and have connections with other provinces. In the CONCOR analysis, 31 provinces are divided into four blocks. In the traditional meaning analysis, the gap between eastern and western China is still obvious. In comparing the northern and southern regions, this study finds that the concentration of medical resources in northern provinces seems to be higher. The spillover effect of the blocks indicates provinces with medical resource centres have beneficial effects, while provinces with insufficient resources have obvious spillover effects.Conclusion: There is a significant gap in the geographical distribution of medical resources, and the health economic spatial network structure needs to be improved. Most medical resources are concentrated in economically developed provinces, and these provinces’ positions in the health economic spatial network are becoming more centralized. By contrast, economically underdeveloped regions are at the edge of the network, causing patients to move to provinces with medical resource centres. There are health risks of the increasing pressure to seek medical treatment in developed provinces with abundant medical resources.
Title: A Study of the Spatial Network Structure of the Health Economy in China: Regional Health Inequality and Patient Mobility
Description:
Abstract Background: The distribution of medical resources in China is seriously imbalanced due to imbalanced economic development in the country.
To meet the challenges presented by increasing demand and unevenness in medical resources, the primary goal of health system reform is to eliminate spatial disproportion.
Against this background, this study aims to assess the distribution characteristics of regional medical resources and the effects of regional imbalances.
Methods: Data for this study were drawn from the China Health Statistical Yearbooks and China Statistical Books .
The gravitational value of China’s health spatial network was calculated to establish a network of gravitational relationships.
The social network analysis method is used for centrality analysis and spillover effect analysis.
Based on the gravitational value, we used indicators for visits, health expenditure, GDP and geographical distance, as well as an illustrative index for the population, bed utilization, and burden of consultations per day.
Results: A gravity correlation matrix was constructed among provinces by calculating the gravitational value, indicating the spatial relationships of different provinces in the health economic network.
Economically developed provinces, such as Shanghai and Jiangsu, are at the centre of the health economic network (centrality degree=93.
333).
These provinces also play a strong intermediary role in the network and have connections with other provinces.
In the CONCOR analysis, 31 provinces are divided into four blocks.
In the traditional meaning analysis, the gap between eastern and western China is still obvious.
In comparing the northern and southern regions, this study finds that the concentration of medical resources in northern provinces seems to be higher.
The spillover effect of the blocks indicates provinces with medical resource centres have beneficial effects, while provinces with insufficient resources have obvious spillover effects.
Conclusion: There is a significant gap in the geographical distribution of medical resources, and the health economic spatial network structure needs to be improved.
Most medical resources are concentrated in economically developed provinces, and these provinces’ positions in the health economic spatial network are becoming more centralized.
By contrast, economically underdeveloped regions are at the edge of the network, causing patients to move to provinces with medical resource centres.
There are health risks of the increasing pressure to seek medical treatment in developed provinces with abundant medical resources.

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