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

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 ,&nbsp;Lásara Fabrícia Rodrigues ,&nbsp;Luiz Ricardo Pinto ,&nbsp;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":null,"pages":null},"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 ,&nbsp;Lásara Fabrícia Rodrigues ,&nbsp;Luiz Ricardo Pinto ,&nbsp;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\":null,\"pages\":null},\"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}
引用次数: 0

摘要

巴西统一医疗保健系统的国家新生儿筛查计划提供的新生儿疾病跟踪检测涵盖六种疾病。需要质谱仪设备来扩大检测范围,更高效、更有效地检测新的疾病。然而,目前只有四家新生儿筛查中心拥有能够进行扩展检测的设备,因此在扩大医疗服务能力时,既要考虑成本的合理化,也要考虑医疗服务的全面性和可及性。本研究利用分析方法分析并估算了集中式或分布式物流网络的成本,以及在巴西全国范围内为新生儿进行扩大检验的服务水平。我们评估了当前新生儿筛查计划基础设施的可及性,并提出了一个新颖的位置分配模式,以创建一个更加一体化的基础设施,从而减少差异并提高新生儿筛查服务的可及性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Healthcare analytics (New York, N.Y.)
Healthcare analytics (New York, N.Y.) Applied Mathematics, Modelling and Simulation, Nursing and Health Professions (General)
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
79 days
期刊最新文献
An electrocardiogram signal classification using a hybrid machine learning and deep learning approach An inter-hospital performance assessment model for evaluating hospitals performing hip arthroplasty A data envelopment analysis model for optimizing transfer time of ischemic stroke patients under endovascular thrombectomy An investigation of Susceptible–Exposed–Infectious–Recovered (SEIR) tuberculosis model dynamics with pseudo-recovery and psychological effect A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1