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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. Pan, Jay & Zhao, Hanqing & Wang, Xiuli & Shi, Xun, 2016. "Assessing spatial access to public and private hospitals in Sichuan, China: The influence of the private sector on the healthcare geography in China," Social Science & Medicine, Elsevier, vol. 170(C), pages 35-45.
    2. D. J. Weiss & A. Nelson & H. S. Gibson & W. Temperley & S. Peedell & A. Lieber & M. Hancher & E. Poyart & S. Belchior & N. Fullman & B. Mappin & U. Dalrymple & J. Rozier & T. C. D. Lucas & R. E. Howes, 2018. "A global map of travel time to cities to assess inequalities in accessibility in 2015," Nature, Nature, vol. 553(7688), pages 333-336, January.
    3. Wang, Xiuli & Yang, Huazhen & Duan, Zhanqi & Pan, Jay, 2018. "Spatial accessibility of primary health care in China: A case study in Sichuan Province," Social Science & Medicine, Elsevier, vol. 209(C), pages 14-24.
    4. Yun Liu & Qingxia Kong & Shasha Yuan & Joris van de Klundert, 2018. "Factors influencing choice of health system access level in China: A systematic review," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-21, August.
    5. Wang, Hufeng & Gusmano, Michael K. & Cao, Qi, 2011. "An evaluation of the policy on community health organizations in China: Will the priority of new healthcare reform in China be a success?," Health Policy, Elsevier, vol. 99(1), pages 37-43, January.
    6. Peng Jia & John D Anderson & Michael Leitner & Richard Rheingans, 2016. "High-Resolution Spatial Distribution and Estimation of Access to Improved Sanitation in Kenya," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-21, July.
    7. Baltica Cabieses & Richard Cookson & Manuel Espinoza & Gillian Santorelli & Iris Delgado, 2015. "Did Socioeconomic Inequality in Self-Reported Health in Chile Fall after the Equity-Based Healthcare Reform of 2005? A Concentration Index Decomposition Analysis," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-21, September.
    8. Li, Hua & Yu, Wei, 2011. "Enhancing community system in China's recent health reform: An effort to improve equity in essential health care," Health Policy, Elsevier, vol. 99(2), pages 167-173, February.
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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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