João Flávio de Freitas Almeida , Lásara Fabrícia Rodrigues , Luiz Ricardo Pinto , Francisco Carlos Cardoso de Campos
{"title":"减少差异和提高公共卫生筛查中心可及性的综合位置分配模式","authors":"João Flávio de Freitas Almeida , Lásara Fabrícia Rodrigues , Luiz Ricardo Pinto , Francisco Carlos Cardoso de Campos","doi":"10.1016/j.health.2024.100349","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":73222,"journal":{"name":"Healthcare analytics (New York, N.Y.)","volume":"6 ","pages":"Article 100349"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772442524000510/pdfft?md5=8d14260b36fde15e3bb57df49d356689&pid=1-s2.0-S2772442524000510-main.pdf","citationCount":"0","resultStr":"{\"title\":\"An integrated location–allocation model for reducing disparities and increasing accessibility to public health screening centers\",\"authors\":\"João Flávio de Freitas Almeida , Lásara Fabrícia Rodrigues , Luiz Ricardo Pinto , Francisco Carlos Cardoso de Campos\",\"doi\":\"10.1016/j.health.2024.100349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":73222,\"journal\":{\"name\":\"Healthcare analytics (New York, N.Y.)\",\"volume\":\"6 \",\"pages\":\"Article 100349\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772442524000510/pdfft?md5=8d14260b36fde15e3bb57df49d356689&pid=1-s2.0-S2772442524000510-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Healthcare analytics (New York, N.Y.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772442524000510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Healthcare analytics (New York, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772442524000510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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 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.