IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i11p1225-d676529.html
   My bibliography  Save this article

Measuring the Differences of Public Health Service Facilities and Their Influencing Factors

Author

Listed:
  • Shihang Fu

    (School of Resource and Environmental Science, Wuhan University, Wuhan 430072, China)

  • Yaolin Liu

    (School of Resource and Environmental Science, Wuhan University, Wuhan 430072, China)

  • Ying Fang

    (School of Resource and Environmental Science, Wuhan University, Wuhan 430072, China)

Abstract

The equitable distribution of public health facilities is a major concern of urban planners. Previous studies have explored the balance and fairness of various medical resource distributions using the accessibility of in-demand public medical service facilities while ignoring the differences in the supply of public medical service facilities. First aid data with location information and patient preference information can reflect the ability of each hospital and the health inequities in cities. Determining which factors affect the measured differences in public medical service facilities and how to alter these factors will help researchers formulate targeted policies to solve the current resource-balance situation of the Ministry of Public Health. In this study, we propose a method to measure the differences in influence among hospitals based on actual medical behavior and use geographically weighted regression (GWR) to analyze the spatial correlations among the location, medical equipment, medical ability, and influencing factors of each hospital. The results show that Wuhan presents obvious health inequality, with the high-grade hospitals having spatial agglomeration in the city-center area, while the number and quality of hospitals in the peripheral areas are lower than those in the central area; thus, the hospitals in these peripheral areas need to be further improved. The method used in this study can measure differences in the influence of public medical service facilities, and the results are consistent with the measured differences at hospital level. Hospital influence is not only related to the equipment and medical ability of each hospital but is also affected by location factors. This method illustrates the necessity of conducting more empirical research on the public medical service supply to provide a scientific basis for formulating targeted policies from a new perspective.

Suggested Citation

  • Shihang Fu & Yaolin Liu & Ying Fang, 2021. "Measuring the Differences of Public Health Service Facilities and Their Influencing Factors," Land, MDPI, vol. 10(11), pages 1-15, November.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1225-:d:676529
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/11/1225/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/10/11/1225/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chin, Marshall H. & King, Paula T. & Jones, Rhys G. & Jones, Bryn & Ameratunga, Shanthi N. & Muramatsu, Naoko & Derrett, Sarah, 2018. "Lessons for achieving health equity comparing Aotearoa/New Zealand and the United States," Health Policy, Elsevier, vol. 122(8), pages 837-853.
    2. Xu, Mengya & Xin, Jing & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2017. "Social inequalities of park accessibility in Shenzhen, China: The role of park quality, transport modes, and hierarchical socioeconomic characteristics," Journal of Transport Geography, Elsevier, vol. 62(C), pages 38-50.
    3. Giuliano, Genevieve & Kang, Sanggyun, 2018. "Spatial dynamics of the logistics industry: Evidence from California," Journal of Transport Geography, Elsevier, vol. 66(C), pages 248-258.
    4. Hu, Lirong & He, Shenjing & Luo, Yun & Su, Shiliang & Xin, Jing & Weng, Min, 2020. "A social-media-based approach to assessing the effectiveness of equitable housing policy in mitigating education accessibility induced social inequalities in Shanghai, China," Land Use Policy, Elsevier, vol. 94(C).
    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. Mengge Du & Shichen Zhao, 2022. "An Equity Evaluation on Accessibility of Primary Healthcare Facilities by Using V2SFCA Method: Taking Fukuoka City, Japan, as a Case Study," Land, MDPI, vol. 11(5), pages 1-22, April.
    2. Adebimpe Bolatito Ige & Afees Olanrewaju Akinade & Peter Adeyemo Adepoju & Adeoye Idowu Afolabi, 2025. "Reviewing the Impact of 5G Technology on Healthcare in African Nations," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(1), pages 1472-1484, January.
    3. Jiansheng Wu & Tengyun Yi & Han Wang & Hongliang Wang & Jiayi Fu & Yuhao Zhao, 2022. "Evaluation of Medical Carrying Capacity for Megacities from a Traffic Analysis Zone View: A Case Study in Shenzhen, China," Land, MDPI, vol. 11(6), pages 1-19, June.
    4. Xuefeng Tan & Chenggen Guo & Pu Sun, 2023. "Study on Rationality of Public Fitness Service Facilities in Beijing Based on GIS," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    5. Hong Xu & Jin Zhao & Xincan Yu, 2023. "A Community-Oriented Accessibility Index of Public Health Service Facilities: A Case Study of Wuchang District, Wuhan, China," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    6. Zijing Ye & Ruisi Li & Jing Wu, 2022. "Dynamic Demand Evaluation of COVID-19 Medical Facilities in Wuhan Based on Public Sentiment," IJERPH, MDPI, vol. 19(12), pages 1-22, June.

    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. Zekun Li & Shenjing He & Shiliang Su & Guie Li & Fei Chen, 2020. "Public Services Equalization in Urbanizing China: Indicators, Spatiotemporal Dynamics and Implications on Regional Economic Disparities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 1-65, November.
    2. Chucai Peng & Yang Xiang & Luxia Chen & Yangyang Zhang & Zhixiang Zhou, 2023. "The Impact of the Type and Abundance of Urban Blue Space on House Prices: A Case Study of Eight Megacities in China," Land, MDPI, vol. 12(4), pages 1-27, April.
    3. Fang, Jiawen & He, Canfei & Zhu, Shengjun, 2024. "From death to birth: Do logistics parks help local renewals in logistics industry?," Transport Policy, Elsevier, vol. 158(C), pages 148-158.
    4. Bridgette Masters-Awatere & Donna Cormack & Rebekah Graham & Rachel Brown, 2020. "Observations by and Conversations with Health Workers and Hospital Personnel Involved in Transferring Māori Patients and Whānau to Waikato Hospital in Aotearoa New Zealand," IJERPH, MDPI, vol. 17(23), pages 1-13, November.
    5. Wang, Ruoyu & Cao, Mengqiu & Yao, Yao & Wu, Wenjie, 2022. "The inequalities of different dimensions of visible street urban green space provision: A machine learning approach," Land Use Policy, Elsevier, vol. 123(C).
    6. Zhou, Min & Tan, Shukui & Tao, Yinghui & Lu, Yongzhong & Zhang, Zuo & Zhang, Lu & Yan, Danping, 2017. "Neighborhood socioeconomics, food environment and land use determinants of public health: Isolating the relative importance for essential policy insights," Land Use Policy, Elsevier, vol. 68(C), pages 246-253.
    7. Zhenchao Zhang & Weixin Luan & Chuang Tian & Min Su, 2025. "Impact of Urban Expansion on School Quality in Compulsory Education: A Spatio-Temporal Study of Dalian, China," Land, MDPI, vol. 14(2), pages 1-20, January.
    8. Kang, Sanggyun, 2020. "Warehouse location choice: A case study in Los Angeles, CA," Journal of Transport Geography, Elsevier, vol. 88(C).
    9. Theodore Tsekeris, 2022. "Freight Transport Cost and Urban Sprawl across EU Regions," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    10. Kang, Sanggyun, 2022. "Exploring the contextual factors behind various phases in logistics sprawl: The case of Seoul Metropolitan Area, South Korea," Journal of Transport Geography, Elsevier, vol. 105(C).
    11. Cyprian Chwiałkowski & Adam Zydroń, 2021. "Socio-Economic and Spatial Characteristics of Wielkopolski National Park: Application of the Hedonic Pricing Method," Sustainability, MDPI, vol. 13(9), pages 1-17, April.
    12. Yang, Zhiwei & Chen, Xiaohong & Pan, Ruixu & Yuan, Quan, 2022. "Exploring location factors of logistics facilities from a spatiotemporal perspective: A case study from Shanghai," Journal of Transport Geography, Elsevier, vol. 100(C).
    13. Wei Lu & Yuechen Li & Rongkun Zhao & Bo He & Zihua Qian, 2022. "Spatial Pattern and Fairness Measurement of Educational Resources in Primary and Middle Schools: A Case Study of Chengdu–Chongqing Economic Circle," IJERPH, MDPI, vol. 19(17), pages 1-23, August.
    14. David Guerrero & Jean Paul Hubert & Martin Koning & Nicolas Roelandt, 2022. "On the Spatial Scope of Warehouse Activity: An Exploratory Study in France," Post-Print hal-03551270, HAL.
    15. Guerrero, David & Niérat, Patrick & Thill, Jean-Claude, 2023. "Connecting short and long distance perspectives in freight transportation: Introduction to a special issue," Journal of Transport Geography, Elsevier, vol. 106(C).
    16. Keddell, Emily & Cleaver, Kerri & Fitzmaurice, Luke, 2021. "The perspectives of community-based practitioners on preventing baby removals : Addressing legitimate and illegitimate factors," Children and Youth Services Review, Elsevier, vol. 127(C).
    17. Su, Shiliang & Zhou, Hao & Xu, Mengya & Ru, Hu & Wang, Wen & Weng, Min, 2019. "Auditing street walkability and associated social inequalities for planning implications," Journal of Transport Geography, Elsevier, vol. 74(C), pages 62-76.
    18. Bohao Wu & Veronika Shabanova & Kendall Arslanian & Kate Nyhan & Elizabeth Izampuye & Sarah Taylor & Bethel Muasau-Howard & Alec Ekeroma & Nicola L Hawley, 2023. "Global prevalence of preterm birth among Pacific Islanders: A systematic review and meta-analysis," PLOS Global Public Health, Public Library of Science, vol. 3(6), pages 1-19, June.
    19. Kang, Sanggyun, 2020. "Relative logistics sprawl: Measuring changes in the relative distribution from warehouses to logistics businesses and the general population," Journal of Transport Geography, Elsevier, vol. 83(C).
    20. Kang, Sanggyun, 2020. "Why do warehouses decentralize more in certain metropolitan areas?," Journal of Transport Geography, 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:gam:jlands:v:10:y:2021:i:11:p:1225-:d:676529. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.