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An integrative method for analyzing spatial accessibility in the hierarchical diagnosis and treatment system in China

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  • Yang, Nan
  • Shen, Liyin
  • Shu, Tianheng
  • Liao, Shiju
  • Peng, Yi
  • Wang, Jinhuan

Abstract

Spatial accessibility to medical services (SAMS) is one of the most important indicators to examine the convenience for people to get access to medical services. In China, the difficulty in getting access to medical services is a commonly appreciated social problem. To mitigate this problem, Chinese government established the hierarchical diagnosis and treatment system (HDTS) in 2005. However, there is no existing study to examine the HDTS from the perspective of SAMS. This paper therefore introduces an integrative method to analyze SAMS in adopting HDTS. The introduced integrative method is developed by referring to the existing 2SFCA method, a commonly applied method for analyzing SAMS, and the characteristics of HDTS are taken into consideration. The application of the integrative method is demonstrated with reference to a Chongqing case. The research findings suggest that: 1) A new method to evaluate SAMS in the context of HDTS is needed; 2) The integrative method developed in this study is proven effective for analyzing SAMS in the context of HDTS through the case study; 3) The case results reveal that the implementation of HDTS can significantly improve the overall SAMS performance in Chongqing; 4) The desirable referral rate of HDTS is 1.24% in the case study by comparing the SAMS performance between different referral rates.

Suggested Citation

  • Yang, Nan & Shen, Liyin & Shu, Tianheng & Liao, Shiju & Peng, Yi & Wang, Jinhuan, 2021. "An integrative method for analyzing spatial accessibility in the hierarchical diagnosis and treatment system in China," Social Science & Medicine, Elsevier, vol. 270(C).
    • Handle: RePEc:eee:socmed:v:270:y:2021:i:c:s0277953620308753
    DOI: 10.1016/j.socscimed.2020.113656
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    References listed on IDEAS

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    3. 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).
    4. Wei, Zhongyu & Bai, Jianjun & Feng, Ruitao, 2022. "Evaluating the spatial accessibility of medical resources taking into account the residents' choice behavior of outpatient and inpatient medical treatment," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    5. G. Arbia & V. Nardelli & N. Salvini & I. Valentini, 2024. "New accessibility measures based on unconventional big data sources," Papers 2401.13370, arXiv.org.
    6. Shiju Liao & Xiaoyun Du & Liyin Shen & Minghe Lv, 2021. "Evaluation Method for Urban Public Service Carrying Capacity (UPSCC): A Qualitative–Quantitative Bi-Dimensional Perspective," IJERPH, MDPI, vol. 18(23), pages 1-18, November.

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