ArticlePloS one2021
Optimizing health facility location for universal health care: A case study from the Philippines.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Spatial distribution and associated factors of public healthcare infrastructure in tourism-oriented environments: evidence from Southwest China in the context of residential tourism.Frontiers in public health · 2026Article
- Healthcare accessibility to rabies post-exposure prophylaxis in rural Kenya: implications for vaccine placement and travel time.Frontiers in microbiology · 2026Article
- Providing Universal Health Care Access to Filipinos Region-wide using Back Propagation and Recurrent Neural Networks for Finding Optimal Locations to Place Rural Health Unit Facilities in the Philippines.Acta medica Philippina · 2026Article
- Pragmatic Application of Implementation Science in Filipino Healthcare Environments.International forum for nursing and healthcare · 2025Article
- Awareness, Availment, and Satisfaction on various Health Services among Residents of a Rural Community in Samar, Philippines: A Mixed Methods Study.Acta medica Philippina · 2024Article
- Addressing the Elephant in the Room: Structural Racism and Health Disparities in the Philippines.International forum for nursing and healthcare · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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