Resource Allocation Equity in the China’s Rural Three-Tier Healthcare System

Journal Article (2022)
Author(s)

Yibin Ao (Chengdu University of Technology)

Qiqi Feng (Chengdu University of Technology)

Zhongli Zhou (Chengdu University of Technology)

Yunfeng Chen (Purdue University)

Tong Wang (TU Delft - Design & Construction Management)

Research Group
Design & Construction Management
DOI related publication
https://doi.org/10.3390/ijerph19116589 Final published version
More Info
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Publication Year
2022
Language
English
Research Group
Design & Construction Management
Issue number
11
Volume number
19
Article number
6589
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Abstract

The rural three-tier healthcare system is an essential part of the Chinese healthcare service system. To ensure rural residents’ equal access to such healthcare services, it is necessary to examine the current status of the healthcare system in rural China and formulate corresponding improvement suggestions. This study therefore collects the data from the China Health Statistics Yearbook, the China Health Yearbook and the China Statistical Yearbook between the years 2004 and 2021 to calculate the Gini coefficient (G), health resource density index (HRDI) and Theil index (T) first, and then perform the Mann–Kendall test afterwards to evaluate the equity of healthcare resource allocation comprehensively. This series of analysis helps in drawing the following conclusions: (1) county and county-level city medical and health institutions (CMHIs) show a higher development trend in comparison with township hospitals (THs) and village clinics (VCs); (2) VCs have higher institutional fairness, while for beds and personnel, CMHIs and THs are more fairly positioned; (3) more specifically for CMHIs and THs, personnel allocation is more fair than beds and institution allocations; (4) the density of healthcare resources in the eastern and central regions is higher than that in the western part, while the intra-regional distribution of beds and personnel in the west and central regions is better than that in the eastern region; (5) intra-regional differences are more significant than inter-regional differences and the fairness according to population distribution is higher than that of geographical area allocation. The results of this study provide theoretical basis for further optimizing the allocation of healthcare resources and improving the fairness of healthcare resources allocation from a macro perspective.