IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v270y2021ics0277953620308753.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953620308753
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2020.113656?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Joseph, Alun E. & Bantock, Peter R., 1982. "Measuring potential physical accessibility to general practitioners in rural areas: A method and case study," Social Science & Medicine, Elsevier, vol. 16(1), pages 85-90, January.
    2. Yunzhe Qiu & Jie Song & Zekun Liu, 2016. "A simulation optimisation on the hierarchical health care delivery system patient flow based on multi-fidelity models," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6478-6493, November.
    3. Zhicheng Zheng & Haoming Xia & Shrinidhi Ambinakudige & Yaochen Qin & Yang Li & Zhixiang Xie & Lijun Zhang & Haibin Gu, 2019. "Spatial Accessibility to Hospitals Based on Web Mapping API: An Empirical Study in Kaifeng, China," Sustainability, MDPI, vol. 11(4), pages 1-14, February.
    4. 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.
    5. Xiaoyu Liu & Xiaoqiang Cai & Ruiqing Zhao & Yanfei Lan, 2015. "Mutual referral policy for coordinating health care systems of different scales," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7411-7433, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Chuanyao & Wang, Junren, 2022. "A hierarchical two-step floating catchment area analysis for high-tier hospital accessibility in an urban agglomeration region," Journal of Transport Geography, Elsevier, vol. 102(C).
    2. Bruno, Giuseppe & Cavola, Manuel & Diglio, Antonio & Elizalde, Javier & Piccolo, Carmela, 2022. "A locational analysis of deregulation policies in the Spanish retail pharmaceutical sector," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhicheng Zheng & Haoming Xia & Shrinidhi Ambinakudige & Yaochen Qin & Yang Li & Zhixiang Xie & Lijun Zhang & Haibin Gu, 2019. "Spatial Accessibility to Hospitals Based on Web Mapping API: An Empirical Study in Kaifeng, China," Sustainability, MDPI, vol. 11(4), pages 1-14, February.
    2. Yang Yu & Yijin Wu & Xin Xu & Yun Chen & Xiaobo Tian & Li Wang & Siyun Chen, 2021. "Spatial Disparities and Correlated Variables of Community Care Facility Accessibility in Rural Areas of China," Sustainability, MDPI, vol. 13(23), pages 1-14, December.
    3. Wang, Ziwei & Chen, Hongmin & Luo, Jun & Wang, Chunming & Xu, Xinyi & Zhou, Ying, 2024. "Sharing service in healthcare systems: A recent survey," Omega, Elsevier, vol. 129(C).
    4. Jin, Tanhua & Cheng, Long & Wang, Kailai & Cao, Jun & Huang, Haosheng & Witlox, Frank, 2022. "Examining equity in accessibility to multi-tier healthcare services across different income households using estimated travel time," Transport Policy, Elsevier, vol. 121(C), pages 1-13.
    5. Shang, Qingxue & Guo, Xiaodong & Li, Jichao & Wang, Tao, 2022. "Post-earthquake health care service accessibility assessment framework and its application in a medium-sized city," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    6. Pei, Shunshun & Zhai, Changhai & Hu, Jie, 2024. "Surrogate model-assisted seismic resilience assessment of the interdependent transportation and healthcare system considering a two-stage recovery strategy," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    7. Mohíno, Inmaculada & Ureña, José M. & Solís, Eloy, 2016. "Transport infrastructure and territorial cohesion in rural metro-adjacent regions: A multimodal accessibility approach. The case of Castilla-La Mancha in the context of Madrid (Spain)," Journal of Transport Geography, Elsevier, vol. 57(C), pages 115-133.
    8. Olof Åslund & John Östh & Yves Zenou, 2010. "How important is access to jobs? Old question--improved answer," Journal of Economic Geography, Oxford University Press, vol. 10(3), pages 389-422, May.
    9. Kanuganti, Shalini & Sarkar, Ashoke Kumar & Singh, Ajit Pratap, 2016. "Evaluation of access to health care in rural areas using enhanced two-step floating catchment area (E2SFCA) method," Journal of Transport Geography, Elsevier, vol. 56(C), pages 45-52.
    10. Johannes Stübinger & Lucas Schneider, 2020. "Understanding Smart City—A Data-Driven Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    11. Hamidreza Rabiei‐Dastjerdi & Stephen A. Matthews, 2021. "Who gets what, where, and how much? Composite index of spatial inequality for small areas in Tehran," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 191-205, February.
    12. Siqi Lai & Brian Deal, 2022. "Parks, Green Space, and Happiness: A Spatially Specific Sentiment Analysis Using Microblogs in Shanghai, China," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    13. Tianlu Qian & Zheng Fu & Jie Chen & Shujie Qin & Changbai Xi & Jiechen Wang, 2023. "Evaluating multiscale and multimodal transport inequalities in Chinese cities with massive open-source path data," Journal of Geographical Systems, Springer, vol. 25(2), pages 237-264, April.
    14. Bec, Caroline & Wells, Geoff & Solomon, Josh, 2020. "Structural barriers to health-provider training programmes for ethnic minorities: the case of the Katu and diabetes management in Vietnam," SocArXiv s78xa_v1, Center for Open Science.
    15. Jianpei Wen & Hanyu Jiang & Jie Song, 2019. "A Stochastic Queueing Model for Capacity Allocation in the Hierarchical Healthcare Delivery System," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(01), pages 1-24, February.
    16. Antonín Vaishar & Milada Šťastná, 2021. "Accessibility of Services in Rural Areas: Southern Moravia Case Study," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    17. Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Goulias, Konstadinos G. & Church, Richard L. & Olaru, Doina & Tapin, John & Han, Renlong, 2014. "Spatial analysis of access to and accessibility surrounding train stations: a case study of accessibility for the elderly in Perth, Western Australia," Journal of Transport Geography, Elsevier, vol. 39(C), pages 111-120.
    18. Zhou, Cuihua & Lan, Yanfei & Li, Weifeng & Zhao, Ruiqing, 2022. "Medicare policies in a two-Tier healthcare system with overtreatment," Omega, Elsevier, vol. 109(C).
    19. Xiuli Wang & Barnabas C. Seyler & Ting Chen & Weiyan Jian & Hongqiao Fu & Baofeng Di & Winnie Yip & Jay Pan, 2024. "Disparity in healthcare seeking behaviors between impoverished and non-impoverished populations with implications for healthcare resource optimization," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    20. Hao, Yuchen & Liu, Chuang & Zhao, Lugang & Liu, Weibo, 2023. "A dual-clustering algorithm for a robust medical grid partition problem considering patient referral," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:270:y:2021:i:c:s0277953620308753. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.