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Inequalities of spatial primary healthcare accessibility in China

Author

Listed:
  • Jia, Peng
  • Wang, Youfa
  • Yang, Min
  • Wang, Limin
  • Yang, Xuchao
  • Shi, Xinyu
  • Yang, Lijian
  • Wen, Jin
  • Liu, Yi
  • Yang, Maokang
  • Xin, Junguo
  • Zhang, Fengying
  • Jiang, Lihua
  • Chi, Chunhua
  • Zhang, Luxia
  • Ma, Xudong
  • Ma, Xiao
  • Zhao, Li
  • Li, Weimin

Abstract

A key step to the establishment of a tiered healthcare system is equitable access to basic primary healthcare services for all. However, no quantitative research on the national status quo of primary healthcare accessibility in China exists. We filled this gap by estimating spatial accessibility to primary healthcare centers (PHCs) and mapping its inequality across the mainland China. Four national datasets during 2015–2018, including administrative boundaries, residential communities, points-of-interest (including PHCs), and road networks, were collected to calculate the distance to the nearest PHC for each community. Five other national datasets including census, elevation, land use, vegetation, and nightlight, were collected to model 100m × 100 m population grids, based on which geographical modeling was used to calculate PHC accessibility of each community. Inequalities in PHC accessibility across China were described with concentration indices. About 44% of communities across China representing approximately 30% of the overall population had no access to PHCs within their 6-km catchment areas; about 78% of communities across China representing approximately 68.4% of the overall population had no access to PHCs within their 1.5-km catchment areas. Some municipalities/provinces like Shanghai, Beijing, Tianjin, Jiangsu, Shandong, and Zhejiang generally had higher proximity to the nearest PHCs, while others like Tibet, Guizhou, and Guangxi had lower proximity to the nearest PHCs. However, assuming similar basic service capacity across all PHCs, Shanghai, Tianjin, and Chongqing showed the lowest PHC accessibility due to high population density. Variations in PHC accessibility existed, with more inequalities observed in the north and northeastern provinces and less inequalities in southwestern and south-central provinces. This study demonstrates primary healthcare accessibility and inequality at province and city levels, and identifies communities with lower proximity and accessibility to PHCs in China. It would serve as a starting point to facilitate precise healthcare planning and preparedness for health emergencies in China.

Suggested Citation

  • Jia, Peng & Wang, Youfa & Yang, Min & Wang, Limin & Yang, Xuchao & Shi, Xinyu & Yang, Lijian & Wen, Jin & Liu, Yi & Yang, Maokang & Xin, Junguo & Zhang, Fengying & Jiang, Lihua & Chi, Chunhua & Zhang,, 2022. "Inequalities of spatial primary healthcare accessibility in China," Social Science & Medicine, Elsevier, vol. 314(C).
  • Handle: RePEc:eee:socmed:v:314:y:2022:i:c:s027795362200764x
    DOI: 10.1016/j.socscimed.2022.115458
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    References listed on IDEAS

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    1. Wei, Zhongyu & Bai, Jianjun & Feng, Ruitao, 2023. "Optimization referral rate design for hierarchical diagnosis and treatment system based on accessibility-utilization efficiency bi-objective collaboration: A case study of China," Social Science & Medicine, Elsevier, vol. 322(C).

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