IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i10p5437-d557899.html
   My bibliography  Save this article

Integrating Socioeconomic Status and Spatial Factors to Improve the Accessibility of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation

Author

Listed:
  • Ming-Hseng Tseng

    (Department of Medical Informatics, Chung Shan Medical University, Taichung 40201, Taiwan)

  • Hui-Ching Wu

    (Department of Medical Sociology and Social Work, Chung Shan Medical University, Taichung 40201, Taiwan
    Social Service Section, Chung Shan Medical University Hospital, Taichung 40201, Taiwan)

Abstract

Health promotion empowers people, communities, and societies to take charge of their own health and quality of life. To strengthen community-based support, increase resource accessibility, and achieve the ideal of aging, this study targets the question of maximum equity with minimum values, taking distances and spatial and non-spatial factors into consideration. To compare disparities in the accessibility of community care resources and the optimization of allocation, methods for community care resource capacity were examined. This study also investigates units based on basic statistical area (BSA) to improve the limitation of larger reference locations (administrative districts) that cannot reflect the exact locations of people. The results show the capacity redistribution of each service point within the same total capacity, and the proposed method brings the population distribution of each demand to the best accessibility. Finally, the grading system of assessing accessibility scarcity allows the government to effectively categorize the prior improvement areas to achieve maximum equity under the same amount of care resources. There are 2046 (47.26%) and 396 (9.15%) BSAs that should be improved before and after optimization, respectively. Therefore, integrating socioeconomic status and spatial factors to assess accessibility of community-based care resources could provide comprehensive consideration for equal allocation.

Suggested Citation

  • Ming-Hseng Tseng & Hui-Ching Wu, 2021. "Integrating Socioeconomic Status and Spatial Factors to Improve the Accessibility of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation," IJERPH, MDPI, vol. 18(10), pages 1-25, May.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:10:p:5437-:d:557899
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/10/5437/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/10/5437/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Winkleby, M.A. & Jatulis, D.E. & Frank, E. & Fortmann, S.P., 1992. "Socioeconomic status and health: How education, income, and occupation contribute to risk factors for cardiovascular disease," American Journal of Public Health, American Public Health Association, vol. 82(6), pages 816-820.
    2. Hui-Ching Wu & Ming-Hseng Tseng, 2018. "Evaluating Disparities in Elderly Community Care Resources: Using a Geographic Accessibility and Inequality Index," IJERPH, MDPI, vol. 15(7), pages 1-18, June.
    3. Ming-Hseng Tseng & Hui-Ching Wu, 2021. "Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation," IJERPH, MDPI, vol. 18(3), pages 1-19, January.
    4. Chia-Mei Shih & Yu-Hua Wang & Li-Fan Liu & Jung-Hua Wu, 2020. "Profile of Long-Term Care Recipients Receiving Home and Community-Based Services and the Factors That Influence Utilization in Taiwan," IJERPH, MDPI, vol. 17(8), pages 1-15, April.
    5. Hui-Ching Wu & Ming-Hseng Tseng & Chuan-Chao Lin, 2020. "Assessment on Distributional Fairness of Physical Rehabilitation Resource Allocation: Geographic Accessibility Analysis Integrating Google Rating Mechanism," IJERPH, MDPI, vol. 17(20), pages 1-21, October.
    6. James Smith & Raynard Kington, 1997. "Demographic and economic correlates of health in old age," Demography, Springer;Population Association of America (PAA), vol. 34(1), pages 159-170, February.
    7. Marmot, Michael & Ryff, Carol D. & Bumpass, Larry L. & Shipley, Martin & Marks, Nadine F., 1997. "Social inequalities in health: Next questions and converging evidence," Social Science & Medicine, Elsevier, vol. 44(6), pages 901-910, March.
    8. Khan, Abdullah A., 1992. "An integrated approach to measuring potential spatial access to health care services," Socio-Economic Planning Sciences, Elsevier, vol. 26(4), pages 275-287, October.
    9. Shlomo Yitzhaki, 1979. "Relative Deprivation and the Gini Coefficient," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(2), pages 321-324.
    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. Mos, Philipa & Reckers-Droog, Vivian, 2024. "Examining the underpinnings of decisions to allocate public resources to social care: A systematic review," Social Science & Medicine, Elsevier, vol. 355(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. Ming-Hseng Tseng & Hui-Ching Wu, 2021. "Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation," IJERPH, MDPI, vol. 18(3), pages 1-19, January.
    2. Smith, Kimberly V. & Goldman, Noreen, 2007. "Socioeconomic differences in health among older adults in Mexico," Social Science & Medicine, Elsevier, vol. 65(7), pages 1372-1385, October.
    3. Hui-Ching Wu & Ming-Hseng Tseng & Chuan-Chao Lin, 2020. "Assessment on Distributional Fairness of Physical Rehabilitation Resource Allocation: Geographic Accessibility Analysis Integrating Google Rating Mechanism," IJERPH, MDPI, vol. 17(20), pages 1-21, October.
    4. Smith, James P. & Tian, Meng & Zhao, Yaohui, 2013. "Community effects on elderly health: Evidence from CHARLS national baseline," The Journal of the Economics of Ageing, Elsevier, vol. 1, pages 50-59.
    5. Torssander, Jenny & Erikson, Robert, 2008. "Stratification and Mortality - A Comparison of Education, Class, Status and Income," Working Paper Series 5/2008, Stockholm University, Swedish Institute for Social Research.
    6. Maite Blázquez & Santiago Budría, 2018. "The Effects of Over-indebtedness on Individual Health," Hacienda Pública Española / Review of Public Economics, IEF, vol. 227(4), pages 103-131, December.
    7. 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).
    8. Duncan, G.J. & Daly, M.C. & McDonough, P. & Williams, D.R., 2002. "Optimal indicators of socioeconomic status for health research," American Journal of Public Health, American Public Health Association, vol. 92(7), pages 1151-1157.
    9. Duclos, Jean-Yves, 2006. "Liberté ou égalité?," L'Actualité Economique, Société Canadienne de Science Economique, vol. 82(4), pages 441-476, décembre.
    10. Hanna Dudek & Joanna Landmesser, 2012. "Income satisfaction and relative deprivation," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(2), pages 321-334, June.
    11. M. Vernay & B. Salanave & C. Peretti & C. Druet & A. Malon & V. Deschamps & S. Hercberg & K. Castetbon, 2013. "Metabolic syndrome and socioeconomic status in France: The French Nutrition and Health Survey (ENNS, 2006–2007)," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(6), pages 855-864, December.
    12. Syed Hasan & Odmaa Narantungalag, & Martin Berka, 2022. "The intended and unintended consequences of large electricity subsidies: evidence from Mongolia," Discussion Papers 2202, School of Economics and Finance, Massey University, New Zealand.
    13. Maite Blázquez Cuesta & Santiago Budría, 2014. "Deprivation and Subjective Well-Being: Evidence from Panel Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 655-682, December.
    14. Oded Stark & Walter Hyll & Yong Wang, 2012. "Endogenous Selection of Comparison Groups, Human Capital Formation, and Tax Policy," Economica, London School of Economics and Political Science, vol. 79(313), pages 62-75, January.
    15. Pak, Tae-Young, 2023. "Relative deprivation and financial risk taking✰," Finance Research Letters, Elsevier, vol. 55(PA).
    16. Andrew E. Clark & Conchita D'Ambrosio, 2017. "Living conditions and well-being: Evidence from African countries," WIDER Working Paper Series wp-2017-209, World Institute for Development Economic Research (UNU-WIDER).
    17. Melissa P L Chan & Robert S Weinhold & Reuben Thomas & Julia M Gohlke & Christopher J Portier, 2015. "Environmental Predictors of US County Mortality Patterns on a National Basis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-25, December.
    18. Alain Chateauneuf & Patrick Moyes, 2002. "Measuring inequality without the Pigou-Dalton condition," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00156475, HAL.
    19. Bossert, Walter & D’Ambrosio, Conchita, 2014. "Proximity-sensitive individual deprivation measures," Economics Letters, Elsevier, vol. 122(2), pages 125-128.
    20. Mathenge, Mary K. & Smale, Melinda & Olwande, John, 2012. "The Impact of Maize Hybrids on Income, Poverty, and Inequality among Smallholder Farmers in Kenya," Food Security International Development Working Papers 146931, Michigan State University, Department of Agricultural, Food, and Resource Economics.

    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:10:p:5437-:d:557899. 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.