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

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 demonst...

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Autores principales:	Lorenzo Jaime Yu Flores, Ramon Rafael Tonato, Gabrielle Ann Dela Paz, Valerie Gilbert Ulep
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/583c86b8e80649398c0fb91e4ca7b5f5
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spelling	oai:doaj.org-article:583c86b8e80649398c0fb91e4ca7b5f52021-12-02T20:08:24ZOptimizing health facility location for universal health care: A case study from the Philippines.1932-620310.1371/journal.pone.0256821https://doaj.org/article/583c86b8e80649398c0fb91e4ca7b5f52021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256821https://doaj.org/toc/1932-6203Site 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.Lorenzo Jaime Yu FloresRamon Rafael TonatoGabrielle Ann Dela PazValerie Gilbert UlepPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0256821 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lorenzo Jaime Yu Flores Ramon Rafael Tonato Gabrielle Ann Dela Paz Valerie Gilbert Ulep Optimizing health facility location for universal health care: A case study from the Philippines.
description	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.
format	article
author	Lorenzo Jaime Yu Flores Ramon Rafael Tonato Gabrielle Ann Dela Paz Valerie Gilbert Ulep
author_facet	Lorenzo Jaime Yu Flores Ramon Rafael Tonato Gabrielle Ann Dela Paz Valerie Gilbert Ulep
author_sort	Lorenzo Jaime Yu Flores
title	Optimizing health facility location for universal health care: A case study from the Philippines.
title_short	Optimizing health facility location for universal health care: A case study from the Philippines.
title_full	Optimizing health facility location for universal health care: A case study from the Philippines.
title_fullStr	Optimizing health facility location for universal health care: A case study from the Philippines.
title_full_unstemmed	Optimizing health facility location for universal health care: A case study from the Philippines.
title_sort	optimizing health facility location for universal health care: a case study from the philippines.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/583c86b8e80649398c0fb91e4ca7b5f5
work_keys_str_mv	AT lorenzojaimeyuflores optimizinghealthfacilitylocationforuniversalhealthcareacasestudyfromthephilippines AT ramonrafaeltonato optimizinghealthfacilitylocationforuniversalhealthcareacasestudyfromthephilippines AT gabrielleanndelapaz optimizinghealthfacilitylocationforuniversalhealthcareacasestudyfromthephilippines AT valeriegilbertulep optimizinghealthfacilitylocationforuniversalhealthcareacasestudyfromthephilippines
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Optimizing health facility location for universal health care: A case study from the Philippines.

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