Network analysis of primary health care centers using numerical simulation and genetic algorithms
Abstract
The networks of Primary Health Care Centers (PHCC) are an important part of the public health system of our country. In order to maximize the population's access to health goods and services provided in the PHCC, the municipalities make a permanent effort to adapt these networks to the demographic and territorial growth of the cities. This complex problem involves distributing appropriately the number of centers in the territory, with the proper capacity for each type of service offered. The main objective of this work is to study the need, demand, and supply of primary health care services using a mathematical model. For the specific case study of a medium-sized city territorially disaggregated into census cells, firstly, the current system situation is investigated through simulation using a simple model of willingness to move. Next, the effect of modifying the capacity of services in existing PHCC is analyzed. Finally, the impact of incorporating new centers into the network is investigated in order to maximize the estimated demand using a genetic algorithm. The proposed methodology makes it possible to systematically study the system with the available information and analyze the impact of changes in services’ offering on the main access indicators.
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References
Accattoli Colaneri, V., Moreno, M. S., Acrogliano, P. L., & Blanco, A.M. (2020). Análisis del primer nivel de atención de la ciudad de Bahía Blanca usando SIG. XI Congreso Argentino de Informática y Salud (CAIS 2020) - JAIIO 49 (Modalidad virtual). https://49jaiio.sadio.org.ar/pdfs/cais/CAIS%2009
Ahmadi-Javid, A., Seyedi, P., & Syam, S.S. (2017). A survey of healthcare facility location. Computers & Operations Research, 223-263. https://doi.org/10.1016/j.cor.2016.05.018
Church, R., & ReVelle, C. (1974). The maximal covering location problem. Papers in Regional Science: The Journal of the Regional Science Association International, 32(1), 101–118. https://doi.org/10.1007/bf01942293
CNPHyV. Censo Nacional de Población, Hogares y Viviendas. Provincia de Buenos Aires, Partido Bahía Blanca. Buenos Aires: INDEC. [Internet] (2010). Disponible en: https://www.indec.gob.ar/indec/web/Nivel4-Tema-2-41-135
Elorza, M. E., Moscoso, N. S., Blanco, A. M., & Gentili, J. O. (2018). Estimating need, demand and supply in primary health care services: A local application in Argentina. MEDICC Review, 20(3), 36-44. https://doi.org/10.37757/mr2018.v20.n3.8
Elorza, M. E., Moscoso, N. S., & Blanco, A. M. (2022). Assessing performance in health care: A mathematical programming approach for the re-design of primary health care networks. Socio-Economic Planning Sciences, 84, 101454. https://doi.org/10.1016/j.seps.2022.101454
Gazani, M. H., Niaki, S. A. A., & Niaki, S. T. A. (2021). The capacitated maximal covering location problem with heterogeneous facilities and vehicles and different setup costs: An effective heuristic approach. International Journal of Industrial Engineering Computations, 12, 79–90. https://doi.org/10.5267/j.ijiec.2020.9.002
Mendoza-Gómez, R., & Ríos-Mercado, R. Z. (2022). Location of primary health care centers for demand coverage of complementary services. Computers & Industrial Engineering, 169, 108237. https://doi.org/10.1016/j.cie.2022.108237
Moreno, G. A., Moreno, M. S., & Blanco, A.M. (2023). Análisis y rediseño de una red de centros de atención primaria de la salud. Simposio Argentino de Informática Industrial e Investigación Operativa (SIIIO 2023) - JAIIO 52, CABA, Argentina. https://52jaiio.sadio.org.ar/
Pu, Q., Yoo, E.-H., Rothstein, D. H., Cairo, S., & Malemo, L. (2020). Improving the spatial accessibility of healthcare in North Kivu, Democratic Republic of Congo. Applied Geography, 121, 102262. https://doi.org/10.1016/j.apgeog.2020.102262
