Examining the Multi-Scalar Unevenness of High-Quality Healthcare Resources Distribution in China.

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ID: 55002
2019
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Ranked #270 of 862 articles by views in International journal of environmental research and public health

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Abstract
Healthcare disparity is, to a large extent, ascribable to the uneven distribution of high-quality healthcare resources, which remains insufficiently examined, largely due to data unavailability. To overcome this barrier, we synthesized multiple sources of data, employed integrated methods and made a comprehensive analysis of government administrative structures and the socio-economic environment to build probably the most inclusive dataset of Chinese 3-A hospitals thus far. Calibrated on a sample of 379 hospitals rated by a reputable organization, we developed a realistic and viable evaluation framework for assessing hospital quality in China. We then calculated performance scores for 1246 3-A hospitals, which were aggregated and further analyzed at multiple scales (cities, provinces, regions, and economic zones) using general entropy indexes. This research shows that the fragmented governance and incoordination of "" and "" is rooted deeply in China's legacy of centrally-planned systems, and has had a far-reaching yet partially contradictory influence over the contemporary distribution and performance of healthcare resources. Additionally, the unevenness in the distribution of healthcare resources is related closely to a city's administrative rank and power. This study thus suggests that the policy design of healthcare systems should be coordinated with external socio-economic transformation in a sustainable manner.
Reference Key
yu2019examininginternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yu, Meng;He, Shenjing;Wu, Dunxu;Zhu, Hengpeng;Webster, Chris;
Journal International journal of environmental research and public health
Year 2019
DOI
E2813
URL
Keywords
evaluation framework hospital quality 3-a hospitals general entropy indexes high-quality healthcare resources multi-scalar unevenness ionic conductivity phase inversion pvdf-hfp tio2 nanofiber composite separator thermal shrinkage

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