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Article: Spatial Pattern and Spatial Heterogeneity of Chinese Elite Hospitals: A Country-Level Analysis
Title | Spatial Pattern and Spatial Heterogeneity of Chinese Elite Hospitals: A Country-Level Analysis |
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Authors | |
Keywords | elite hospital spatial pattern spatial heterogeneity health resources geographic weighted regression (GWR) |
Issue Date | 2021 |
Publisher | Frontiers Research Foundation. The Journal's web site is located at http://www.frontiersin.org/Public_Health |
Citation | Frontiers in Public Health, 2021, v. 9, p. article no. 710810 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/306038 |
ISSN | 2021 Impact Factor: 6.461 2020 SCImago Journal Rankings: 0.908 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Shi, B | - |
dc.contributor.author | Fu, Y | - |
dc.contributor.author | Bai, X | - |
dc.contributor.author | Zhang, X | - |
dc.contributor.author | Zheng, J | - |
dc.contributor.author | Wang, Y | - |
dc.contributor.author | Li, Y | - |
dc.contributor.author | Zhang, L | - |
dc.date.accessioned | 2021-10-20T10:17:55Z | - |
dc.date.available | 2021-10-20T10:17:55Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Frontiers in Public Health, 2021, v. 9, p. article no. 710810 | - |
dc.identifier.issn | 2296-2565 | - |
dc.identifier.uri | http://hdl.handle.net/10722/306038 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.publisher | Frontiers Research Foundation. The Journal's web site is located at http://www.frontiersin.org/Public_Health | - |
dc.relation.ispartof | Frontiers in Public Health | - |
dc.rights | This Document is Protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission. | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | elite hospital | - |
dc.subject | spatial pattern | - |
dc.subject | spatial heterogeneity | - |
dc.subject | health resources | - |
dc.subject | geographic weighted regression (GWR) | - |
dc.title | Spatial Pattern and Spatial Heterogeneity of Chinese Elite Hospitals: A Country-Level Analysis | - |
dc.type | Article | - |
dc.identifier.email | Zheng, J: zhengji@hku.hk | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3389/fpubh.2021.710810 | - |
dc.identifier.pmid | 34604156 | - |
dc.identifier.pmcid | PMC8481595 | - |
dc.identifier.scopus | eid_2-s2.0-85116247840 | - |
dc.identifier.hkuros | 328369 | - |
dc.identifier.volume | 9 | - |
dc.identifier.spage | article no. 710810 | - |
dc.identifier.epage | article no. 710810 | - |
dc.identifier.isi | WOS:000702013200001 | - |
dc.publisher.place | Switzerland | - |