Unknown

Dataset Information

0

Spatial Pattern and Spatial Heterogeneity of Chinese Elite Hospitals: A Country-Level Analysis.


ABSTRACT: Elite hospitals represent the highest level of Chinese hospitals in medical service and management, medical quality and safety, technical level and efficiency, which are also one of the important indicators reflecting high-quality medical resources in the region, and their spatial allocation is directly related to the fairness of health resource allocation. We explored the allocation pattern of high-quality resources and its influencing factors in the development of China's health system using geographic weighted regression (GWR), Multi-scale Geographically Weighted Regression (MGWR), GWR and MGWR with Spatial Autocorrelation(GWR-SAR and MGWR-SAR), spatial lag model (SLM), and spatial error model (SEM). The results of OLS regression showed that city level, number of medical colleges, urbanization rate, permanent population and GDP per capita were its significant variables. And spatial auto-correlation of elite hospitals in China is of great significance. Further, its spatial agglomeration phenomenon was confirmed through SLM and SEM. Among them, the city level is the most important factor affecting the spatial allocation of elite hospitals in China. Its action intensity shows a solid and weak mosaic trend in the Middle East, relatively concentrated in some areas with medium intensity and concentrated in the West China. Obviously, China's elite hospitals are unevenly distributed and have evident spatial heterogeneity. Therefore, we suggest that we should pay attention to the spatial governance of high-quality medical resources, attract medical elites in the region, increase investment in medical education in the scarce areas of elite hospitals and develop tele-medicine service.

SUBMITTER: Shi B 

PROVIDER: S-EPMC8481595 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC3800490 | biostudies-literature
| S-EPMC9294623 | biostudies-literature
| S-EPMC8100048 | biostudies-literature
| S-EPMC7640588 | biostudies-literature
| S-EPMC6498182 | biostudies-literature
| S-EPMC3651245 | biostudies-other
| S-EPMC8604290 | biostudies-literature
2013-08-14 | GSE49821 | GEO
2013-08-14 | E-GEOD-49821 | biostudies-arrayexpress
| S-EPMC9232218 | biostudies-literature