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Optimizing health facility location for universal health care: A case study from the Philippines

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  • Lorenzo Jaime Yu Flores
  • Ramon Rafael Tonato
  • Gabrielle Ann dela Paz
  • Valerie Gilbert Ulep

Abstract

Site selection of health facilities is critical in ensuring universal access to basic healthcare services. However, in many low and middle-income countries (LMICs) like the Philippines, site selection is traditionally based on political and pragmatic considerations. Moreover, literature that demonstrates the application of facility location models in the Philippine healthcare setting remains scarce, and their usage in actual facility planning is even more limited. In this study, we proposed a variation of cooperative covering maximal models to identify the optimal location of primary care facilities. We demonstrated the feasibility of implementing such a model by using open source data on an actual city in the Philippines. Our results generated multiple candidate locations of primary care facilities depending on the equity and efficiency parameters. This approach could be used as one of the critical considerations in evidence-based, multi-criterion health facility location decisions of governments, and can also be adapted in other industries, given the model’s use of readily available open source datasets.

Suggested Citation

  • Lorenzo Jaime Yu Flores & Ramon Rafael Tonato & Gabrielle Ann dela Paz & Valerie Gilbert Ulep, 2021. "Optimizing health facility location for universal health care: A case study from the Philippines," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-13, September.
    • Handle: RePEc:plo:pone00:0256821
    DOI: 10.1371/journal.pone.0256821
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    References listed on IDEAS

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    1. Yantzi, Nicole & Rosenberg, Mark W. & Burke, Sharon O. & Harrison, Margaret B., 2001. "The impacts of distance to hospital on families with a child with a chronic condition," Social Science & Medicine, Elsevier, vol. 52(12), pages 1777-1791, June.
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    Cited by:

    1. Elorza, María Eugenia & Moscoso, Nebel Silvana & Blanco, Anibal Manuel, 2022. "Assessing performance in health care: A mathematical programming approach for the re-design of primary health care networks," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    2. Ong, Ardvin Kester S. & Kurata, Yoshiki B. & Castro, Sophia Alessandra D.G. & De Leon, Jeanne Paulene B. & Dela Rosa, Hazel V. & Tomines, Alex Patricia J., 2022. "Factors influencing the acceptance of telemedicine in the Philippines," Technology in Society, Elsevier, vol. 70(C).
    3. Tao, Zhuolin & Zhao, Min, 2023. "Planning for equal transit-based accessibility of healthcare facilities: A case study of Shenzhen, China," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).

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