IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i4p2146-d503870.html
   My bibliography  Save this article

Social Determinants of Diabetes-Related Preventable Hospitalization in Taiwan: A Spatial Analysis

Author

Listed:
  • Chung-Yi Li

    (Department of Public Health, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan)

  • Yung-Chung Chuang

    (Department of Urban Planning and Spatial Information, Feng Chia University, Taichung 407802, Taiwan)

  • Pei-Chun Chen

    (Department of Public Health, China Medical University, Taichung 40402, Taiwan)

  • Michael S. Chen

    (Department of Healthcare Administration, Asia University, Taichung 41354, Taiwan
    Department of Social Welfare and Center for Innovative Research on Aging Society, National Chung Cheng University, Chiayi 62102, Taiwan)

  • Miaw-Chwen Lee

    (Department of Social Welfare and Center for Innovative Research on Aging Society, National Chung Cheng University, Chiayi 62102, Taiwan)

  • Li-Jung Elizabeth Ku

    (Department of Public Health, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan)

  • Chiachi Bonnie Lee

    (Department of Health Services Administration, China Medical University, Taichung 40402, Taiwan)

Abstract

Diabetes-Related Preventable Hospitalization (DRPH) has been identified as an important indicator of efficiency and quality of the health system and can be modified by social determinants. However, the spatial disparities, clustering, and relationships between DRPH and social determinants have rarely been investigated. Accordingly, this study examined the association of DRPH with area deprivation, densities of certificated diabetes health-promoting clinics (DHPC) and hospitals (DHPH), and the presence of elderly social services (ESS) using both statistical and spatial analyses. Data were obtained from the 2010–2016 National Health Insurance Research Database (NHIRD) and government open data. Township-level ordinary least squares (OSL) and geographically weighted regression (GWR) were conducted. DRPH rates were found to be negatively associated with densities of DHPC (β = −66.36, p = 0.029; 40.3% of all townships) and ESS (β = −1.85, p = 0.027; 28.4% of all townships) but positively associated with area deprivation (β = 2.96, p = 0.002; 25.6% of all townships) in both OLS and GWR models. Significant relationships were found in varying areas in the GWR model. DRPH rates are high in townships of Taiwan that have lower DHPC densities, lower ESS densities, and greater socioeconomic deprivation. Spatial analysis could identify areas of concern for potential intervention.

Suggested Citation

  • Chung-Yi Li & Yung-Chung Chuang & Pei-Chun Chen & Michael S. Chen & Miaw-Chwen Lee & Li-Jung Elizabeth Ku & Chiachi Bonnie Lee, 2021. "Social Determinants of Diabetes-Related Preventable Hospitalization in Taiwan: A Spatial Analysis," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:2146-:d:503870
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/4/2146/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/4/2146/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yoshitaka Nishino & Stuart Gilmour & Kenji Shibuya, 2015. "Inequality in Diabetes-Related Hospital Admissions in England by Socioeconomic Deprivation and Ethnicity: Facility-Based Cross-Sectional Analysis," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-15, February.
    2. Xueqian Song & Yongping Wei & Wei Deng & Shaoyao Zhang & Peng Zhou & Ying Liu & Jiangjun Wan, 2019. "Spatio-Temporal Distribution, Spillover Effects and Influences of China’s Two Levels of Public Healthcare Resources," IJERPH, MDPI, vol. 16(4), pages 1-18, February.
    3. Hsin-Ling Yeh & Shang-Wei Hsu & Yu-Chia Chang & Ta-Chien Chan & Hui-Chen Tsou & Yen-Chen Chang & Po-Huang Chiang, 2017. "Spatial Analysis of Ambient PM 2.5 Exposure and Bladder Cancer Mortality in Taiwan," IJERPH, MDPI, vol. 14(5), pages 1-14, May.
    4. Tashi Dendup & Xiaoqi Feng & Stephanie Clingan & Thomas Astell-Burt, 2018. "Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review," IJERPH, MDPI, vol. 15(1), pages 1-25, January.
    5. Wei‐Hua Tian, 2019. "Investigating unmet health care needs under the National Health Insurance program in Taiwan: A latent class analysis," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(2), pages 572-582, April.
    6. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    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. Tsai, Wen-Chen & Huang, Kuang-Hua & Chen, Pei-Chun & Chang, Yu-Chia & Chen, Michael S. & Lee, Chiachi Bonnie, 2023. "Effects of individual and neighborhood social risks on diabetes pay-for-performance program under a single-payer health system," Social Science & Medicine, Elsevier, vol. 326(C).

    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. Zhao, Mingxuan & Lv, Lianhong & Wu, Jing & Wang, Shen & Zhang, Nan & Bai, Zihan & Luo, Hong, 2022. "Total factor productivity of high coal-consuming industries and provincial coal consumption: Based on the dynamic spatial Durbin model," Energy, Elsevier, vol. 251(C).
    2. Paul D. Juarez & Mohammad Tabatabai & Robert Burciaga Valdez & Darryl B. Hood & Wansoo Im & Charles Mouton & Cynthia Colen & Mohammad Z. Al-Hamdan & Patricia Matthews-Juarez & Maureen Y. Lichtveld & D, 2020. "The Effects of Social, Personal, and Behavioral Risk Factors and PM 2.5 on Cardio-Metabolic Disparities in a Cohort of Community Health Center Patients," IJERPH, MDPI, vol. 17(10), pages 1-19, May.
    3. Anna M. Ferragina & Giulia Nunziante, 2018. "Are Italian firms performances influenced by innovation of domestic and foreign firms nearby in space and sectors?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 45(3), pages 335-360, September.
    4. Yingcheng Li & Kai Zhu, 2017. "Spatial dependence and heterogeneity in the location processes of new high-tech firms in Nanjing, China," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 519-535, August.
    5. Deslatte, Aaron & Szmigiel-Rawska, Katarzyna & Tavares, António F. & Ślawska, Justyna & Karsznia, Izabela & Łukomska, Julita, 2022. "Land use institutions and social-ecological systems: A spatial analysis of local landscape changes in Poland," Land Use Policy, Elsevier, vol. 114(C).
    6. Vicente Rios Ibañez, 2014. "What drives regional unemployment convergence?," ERSA conference papers ersa14p924, European Regional Science Association.
    7. Tomasz Kijek & Anna Matras-Bolibok, 2020. "Knowledge-intensive Specialisation and Total Factor Productivity (TFP) in the EU Regional Scope," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(1), pages 181-188.
    8. Burhan Can Karahasan & Firat Bilgel, 2018. "Economic Geography, Growth Dynamics and Human Capital Accumulation in Turkey: Evidence from Regional and Micro Data," Working Papers 1233, Economic Research Forum, revised 10 Oct 2018.
    9. Parent, Olivier & LeSage, James P., 2011. "A space-time filter for panel data models containing random effects," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 475-490, January.
    10. Liv Osland & Inge Thorsen, 2013. "Spatial Impacts, Local Labour Market Characteristics and Housing Prices," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2063-2083, August.
    11. Quentin Frère & Matthieu Leprince & Sonia Paty, 2014. "The Impact of Intermunicipal Cooperation on Local Public Spending," Urban Studies, Urban Studies Journal Limited, vol. 51(8), pages 1741-1760, June.
    12. Bottasso, Anna & Conti, Maurizio & Ferrari, Claudio & Tei, Alessio, 2014. "Ports and regional development: A spatial analysis on a panel of European regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 44-55.
    13. Ling Bai & Tianran Guo & Wei Xu & Kang Luo, 2022. "The Spatial Differentiation and Driving Forces of Ecological Welfare Performance in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    14. Behr, Andreas & Schiwy, Christoph & Hong, Lucy, 2022. "Impact of Agglomeration Economies on Regional Performance in Germany," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 52(1), May.
    15. Pablo Argüelles & Luis Orea, 2021. "Managing power supply interruptions: a bottom-up spatial (frontier) model with an application to a Spanish electricity network," Empirical Economics, Springer, vol. 60(6), pages 2867-2896, June.
    16. Karl Geisler & Mark Nichols, 2016. "Riverboat casino gambling impacts on employment and income in host and surrounding counties," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 101-123, January.
    17. Francisco J. Delgado & Santiago Lago-Peñas & Matías Mayor, 2015. "On The Determinants Of Local Tax Rates: New Evidence From Spain," Contemporary Economic Policy, Western Economic Association International, vol. 33(2), pages 351-368, April.
    18. Wu, Zhen & Woo, Su-Han & Lai, Po-Lin & Chen, Xiaoyi, 2022. "The economic impact of inland ports on regional development: Evidence from the Yangtze River region," Transport Policy, Elsevier, vol. 127(C), pages 80-91.
    19. Kuschnig, Nikolas, 2021. "Bayesian Spatial Econometrics and the Need for Software," Department of Economics Working Paper Series 318, WU Vienna University of Economics and Business.
    20. Chun-Hung A. Lin & Suchandra Lahiri & Ching-Po Hsu, 2017. "Happiness and Globalization: A Spatial Econometric Approach," Journal of Happiness Studies, Springer, vol. 18(6), pages 1841-1857, December.

    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:jijerp:v:18:y:2021:i:4:p:2146-:d:503870. 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.