IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i13p5444-d380875.html
   My bibliography  Save this article

Examining Trans-Provincial Diagnosis of Rare Diseases in China: The Importance of Healthcare Resource Distribution and Patient Mobility

Author

Listed:
  • Xiang Yan

    (Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Pokfulam, Hong Kong, China
    Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen 518057, China)

  • Dong Dong

    (JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China)

  • Shenjing He

    (Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Pokfulam, Hong Kong, China
    Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen 518057, China)

  • Chris Webster

    (Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Pokfulam, Hong Kong, China
    Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen 518057, China)

Abstract

(1) Background: Rare disease patients in China usually have to travel a long distance, typically across provinces, for an accurate diagnosis due to the uneven distribution of healthcare resources. This study investigated the impact factors of their trans-provincial diagnosis. (2) Methods: An analysis was made of 1531 cases (1032 adults and 499 children) garnered from the 2018 China Rare Disease Survey, representing a large patient community inflicted with 75 rare diseases from across 31 Chinese provinces. Logistic regression models were used for separate analysis of adult and child patient groups. (3) Results: Nearly half (47.2%) of patients obtained their accurate diagnosis outside their home provinces. The uneven geographical distribution of high-quality healthcare had a significant impact on variation in trans-province diagnosis. Adult patients with lower family income, rural hukou and severer physical disability were disadvantaged in accessing trans-provincial diagnosis. Families with a child patient tended to pour resources into obtaining the trans-provincial diagnosis. The rarity of the disease had only a minimal effect on healthcare utilization across the provinces. (4) Conclusions: In addition to medical care, more attention should be paid to the socioeconomic factors that prevent the timely diagnosis of a rare disease, especially the uneven geographical distribution of high-quality healthcare resources, the financial burden on the family and the differences between adult and child patients.

Suggested Citation

  • Xiang Yan & Dong Dong & Shenjing He & Chris Webster, 2020. "Examining Trans-Provincial Diagnosis of Rare Diseases in China: The Importance of Healthcare Resource Distribution and Patient Mobility," Sustainability, MDPI, vol. 12(13), pages 1-12, July.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5444-:d:380875
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/13/5444/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/13/5444/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Silvia Balia & Rinaldo Brau & Emanuela Marrocu, 2018. "Interregional patient mobility in a decentralized healthcare system," Regional Studies, Taylor & Francis Journals, vol. 52(3), pages 388-402, March.
    2. Wang, Chen & Wan, Guanghua, 2015. "Income polarization in China: Trends and changes," China Economic Review, Elsevier, vol. 36(C), pages 58-72.
    3. Wan, Guanghua & Wang, Chen, 2015. "Income Polarization in the People’s Republic of China: Trends and Changes," ADBI Working Papers 538, Asian Development Bank Institute.
    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. Fengrui Jing & Lin Liu & Suhong Zhou & Guangwen Song, 2020. "Examining the Relationship between Hukou Status, Perceived Neighborhood Conditions, and Fear of Crime in Guangzhou, China," Sustainability, MDPI, vol. 12(22), pages 1-19, 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. Liu, Xueyue & Zuo, Sharon Xuejing, 2023. "From equality to polarization: Changes in urban China’s gender earnings gap from 1988 to 2016," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 303-337.
    2. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    3. Ying Yao & Guanghua Wan & Dongfang Meng, 2019. "Income distribution and health: can polarization explain health outcomes better than inequality?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(4), pages 543-557, June.
    4. Ravallion, Martin & Chen, Shaohua, 2022. "Fleshing out the olive? Observations on income polarization in China since 1981," China Economic Review, Elsevier, vol. 76(C).
    5. Fleisher, Belton & McGuire, William & Su, Yaqin & Zhao, Min Qiang, 2018. "Innovation, Wages, and Polarization in China," MPRA Paper 87105, University Library of Munich, Germany.
    6. Giménez-Gómez, José-Manuel & Zergawu, Yitagesu-Zewdu, 2018. "The impact of social heterogeneity and commodity price shocks on civil conflicts," Journal of Policy Modeling, Elsevier, vol. 40(5), pages 959-997.
    7. Li, Jing & Wan, Guanghua & Wang, Chen & Zhang, Xueliang, 2019. "Which indicator of income distribution explains crime better? Evidence from China," China Economic Review, Elsevier, vol. 54(C), pages 51-72.
    8. Marta Pascual & David Cantarero & Paloma Lanza, 2018. "Health polarization and inequalities across Europe: an empirical approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1039-1051, November.
    9. Zhang, Chen & Yu, Yangcheng & Li, Qinghai, 2023. "Top incomes and income polarisation in China," China Economic Review, Elsevier, vol. 77(C).
    10. Schettino, Francesco & Gabriele, Alberto & Khan, Haider A., 2021. "Polarization and the middle class in China: A non-parametric evaluation using CHNS and CHIP data," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 251-264.
    11. Wan, Guanghua & Hu, Xiaoshan & Liu, Weiqun, 2021. "China's poverty reduction miracle and relative poverty: Focusing on the roles of growth and inequality," China Economic Review, Elsevier, vol. 68(C).
    12. Junru Song & Hongcan Zhou & Yanchen Gao & Yongpan Guan, 2022. "Digital Inclusive Finance, Human Capital and Inclusive Green Development—Evidence from China," Sustainability, MDPI, vol. 14(16), pages 1-15, August.
    13. Giménez Gómez, José M. (José Manuel), 2016. "Linking social heterogeneity and commodity price shocks to civil conflicts," Working Papers 2072/290744, Universitat Rovira i Virgili, Department of Economics.
    14. Li, Chengyou & Jiao, Yong & Sun, Tao & Liu, Anran, 2021. "Alleviating multi-dimensional poverty through land transfer: Evidence from poverty-stricken villages in China," China Economic Review, Elsevier, vol. 69(C).
    15. Dongsheng Zhang & Ming Yang & Ziyou Wang, 2022. "Resources or Capital?—The Quality Improvement Mechanism of Precision Poverty Alleviation by Land Elements," Land, MDPI, vol. 11(10), pages 1-24, October.
    16. Belton M. Fleisher & William H. McGuire & Yaqin Su & Min Qiang Zhao, 2024. "Polarization of employment and wages in China," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 32(1), pages 49-71, January.
    17. Karina Alfaro‐Moreno & José Javier Núñez‐Velázquez & Luisa Fernanda Bernat‐Diaz, 2019. "How does wage polarization affect productivity? The case of Spanish regions," Papers in Regional Science, Wiley Blackwell, vol. 98(3), pages 1317-1333, June.
    18. Scott Rozelle & Yiran Xia & Dimitris Friesen & Bronson Vanderjack & Nourya Cohen, 2020. "Moving Beyond Lewis: Employment and Wage Trends in China’s High- and Low-Skilled Industries and the Emergence of an Era of Polarization," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 62(4), pages 555-589, December.
    19. Berta, Paolo & Guerriero, Carla & Levaggi, Rosella, 2021. "Hospitals’ strategic behaviours and patient mobility: Evidence from Italy," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    20. Zhipeng Gao & Zhenyu Wang & Mi Zhou, 2023. "Is China’s Urbanization Inclusive?—Comparative Research Based on Machine Learning Algorithms," Sustainability, MDPI, vol. 15(4), pages 1-16, February.

    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:jsusta:v:12:y:2020:i:13:p:5444-:d:380875. 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.