An integrated location–allocation model for reducing disparities and increasing accessibility to public health screening centers
The tests for tracking diseases in newborns available through the National Neonatal Screening Program of the Brazilian Unified Health Care System cover six diseases. Mass spectrometer equipment is needed to expand and more efficiently and effectively detect new diseases. However, only four neonatal...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Healthcare Analytics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772442524000510 |
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| author | João Flávio de Freitas Almeida Lásara Fabrícia Rodrigues Luiz Ricardo Pinto Francisco Carlos Cardoso de Campos |
| author_facet | João Flávio de Freitas Almeida Lásara Fabrícia Rodrigues Luiz Ricardo Pinto Francisco Carlos Cardoso de Campos |
| author_sort | João Flávio de Freitas Almeida |
| collection | DOAJ |
| description | The tests for tracking diseases in newborns available through the National Neonatal Screening Program of the Brazilian Unified Health Care System cover six diseases. Mass spectrometer equipment is needed to expand and more efficiently and effectively detect new diseases. However, only four neonatal screening centers have the equipment capable of carrying out the extended test, and the expansion of health service capacity should consider both the rationalization of costs and the comprehensiveness and accessibility of care to the population. This study uses analytics to analyze and estimate the cost of centralized or distributed logistics networks and the level of service to perform the expanded test for newborns throughout Brazil. We evaluate the accessibility of the current infrastructure for the neonatal screening program and propose a novel location–allocation model to create a more integrated infrastructure for reducing disparities and increase the accessibility to neonatal screening services. |
| format | Article |
| id | doaj-art-ed263e4e667144d5be6fd947c94b1085 |
| institution | DOAJ |
| issn | 2772-4425 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Healthcare Analytics |
| spelling | doaj-art-ed263e4e667144d5be6fd947c94b10852025-08-20T02:52:30ZengElsevierHealthcare Analytics2772-44252024-12-01610034910.1016/j.health.2024.100349An integrated location–allocation model for reducing disparities and increasing accessibility to public health screening centersJoão Flávio de Freitas Almeida0Lásara Fabrícia Rodrigues1Luiz Ricardo Pinto2Francisco Carlos Cardoso de Campos3Industrial Engineering Department, Federal University of Minas Gerais, Av. Antônio Carlos, 6627, Belo Horizonte, MG, Brazil; Corresponding author.Industrial Engineering Department, Federal University of Minas Gerais, Av. Antônio Carlos, 6627, Belo Horizonte, MG, BrazilIndustrial Engineering Department, Federal University of Minas Gerais, Av. Antônio Carlos, 6627, Belo Horizonte, MG, BrazilCollective Health Education Center - School of Medicine, Federal University of Minas Gerais, Av. Prof. Alfredo Balena, 190 - Santa Efigênia, Belo Horizonte MG, BrazilThe tests for tracking diseases in newborns available through the National Neonatal Screening Program of the Brazilian Unified Health Care System cover six diseases. Mass spectrometer equipment is needed to expand and more efficiently and effectively detect new diseases. However, only four neonatal screening centers have the equipment capable of carrying out the extended test, and the expansion of health service capacity should consider both the rationalization of costs and the comprehensiveness and accessibility of care to the population. This study uses analytics to analyze and estimate the cost of centralized or distributed logistics networks and the level of service to perform the expanded test for newborns throughout Brazil. We evaluate the accessibility of the current infrastructure for the neonatal screening program and propose a novel location–allocation model to create a more integrated infrastructure for reducing disparities and increase the accessibility to neonatal screening services.http://www.sciencedirect.com/science/article/pii/S2772442524000510Location–allocationPublic-healthAccessibilityNewborn screening |
| spellingShingle | João Flávio de Freitas Almeida Lásara Fabrícia Rodrigues Luiz Ricardo Pinto Francisco Carlos Cardoso de Campos An integrated location–allocation model for reducing disparities and increasing accessibility to public health screening centers Healthcare Analytics Location–allocation Public-health Accessibility Newborn screening |
| title | An integrated location–allocation model for reducing disparities and increasing accessibility to public health screening centers |
| title_full | An integrated location–allocation model for reducing disparities and increasing accessibility to public health screening centers |
| title_fullStr | An integrated location–allocation model for reducing disparities and increasing accessibility to public health screening centers |
| title_full_unstemmed | An integrated location–allocation model for reducing disparities and increasing accessibility to public health screening centers |
| title_short | An integrated location–allocation model for reducing disparities and increasing accessibility to public health screening centers |
| title_sort | integrated location allocation model for reducing disparities and increasing accessibility to public health screening centers |
| topic | Location–allocation Public-health Accessibility Newborn screening |
| url | http://www.sciencedirect.com/science/article/pii/S2772442524000510 |
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