最大限度地发挥行政数据的潜力,以审查北爱尔兰的无家可归问题

Siobhán Murphy, Eileen Mitchell, Dermot O'Reilly
{"title":"最大限度地发挥行政数据的潜力,以审查北爱尔兰的无家可归问题","authors":"Siobhán Murphy, Eileen Mitchell, Dermot O'Reilly","doi":"10.23889/ijpds.v8i2.2332","DOIUrl":null,"url":null,"abstract":"ObjectivesHomelessness is a growing public health concern in Northern Ireland. Our study intends to measure the scale of homelessness in Northern Ireland and identify the potential of using linked administrative data to understand the complex needs of people who experience homelessness (PEH) and contribute to policy and service development.
 MethodsAll formal applications for homelessness go to one central body the Northern Ireland Housing Executive (NIHE). However, it is possible that a proportion might remain unknown to local housing authorities due to personal circumstances, changes in legislation or eligibility criteria etc, which might mean that formal applications underestimate the true scale of homelessness. In this study of the interplay of homelessness health and exposure to social services, we can identify emergency accommodation centres by using ArcGIS, a geographic information system that allows users to analyse maps and spatial data to identify individuals who have been residing at hostels, addiction centres or women's refuges.
 ResultsWe identified 115 emergency accommodation centres. We plan to use this information to quantify the scale of homelessness in NI and compare the demographic profiles of those who may not be registered with local housing authorities. It is likely these individuals may represent a highly vulnerable population with complex needs and need tailored support packages.
 ConclusionWe will discuss some of the limitations of housing-administrative data and the methodologies we explored to help identify those people who may not be known to local authorities that are experiencing homelessness. Our findings can be used to inform policy on providing continuity of care and support for all people experiencing homelessness and reduce barriers to timely access of this support.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"214 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Maximising the potential of administrative data to examine homelessness in Northern Ireland\",\"authors\":\"Siobhán Murphy, Eileen Mitchell, Dermot O'Reilly\",\"doi\":\"10.23889/ijpds.v8i2.2332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ObjectivesHomelessness is a growing public health concern in Northern Ireland. Our study intends to measure the scale of homelessness in Northern Ireland and identify the potential of using linked administrative data to understand the complex needs of people who experience homelessness (PEH) and contribute to policy and service development.
 MethodsAll formal applications for homelessness go to one central body the Northern Ireland Housing Executive (NIHE). However, it is possible that a proportion might remain unknown to local housing authorities due to personal circumstances, changes in legislation or eligibility criteria etc, which might mean that formal applications underestimate the true scale of homelessness. In this study of the interplay of homelessness health and exposure to social services, we can identify emergency accommodation centres by using ArcGIS, a geographic information system that allows users to analyse maps and spatial data to identify individuals who have been residing at hostels, addiction centres or women's refuges.
 ResultsWe identified 115 emergency accommodation centres. We plan to use this information to quantify the scale of homelessness in NI and compare the demographic profiles of those who may not be registered with local housing authorities. It is likely these individuals may represent a highly vulnerable population with complex needs and need tailored support packages.
 ConclusionWe will discuss some of the limitations of housing-administrative data and the methodologies we explored to help identify those people who may not be known to local authorities that are experiencing homelessness. Our findings can be used to inform policy on providing continuity of care and support for all people experiencing homelessness and reduce barriers to timely access of this support.\",\"PeriodicalId\":132937,\"journal\":{\"name\":\"International Journal for Population Data Science\",\"volume\":\"214 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Population Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23889/ijpds.v8i2.2332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Population Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23889/ijpds.v8i2.2332","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

在北爱尔兰,无家可归是一个日益严重的公共卫生问题。我们的研究旨在衡量北爱尔兰无家可归者的规模,并确定使用相关行政数据来了解无家可归者(PEH)的复杂需求并为政策和服务发展做出贡献的潜力。方法所有无家可归者的正式申请都提交给一个中央机构,即北爱尔兰住房管理局。然而,由于个人情况、立法或资格标准的变化等原因,当地住房当局可能仍然不知道其中的一部分,这可能意味着正式申请低估了无家可归者的真实规模。在这项关于无家可归者健康和接受社会服务之间相互作用的研究中,我们可以利用ArcGIS确定紧急住宿中心,ArcGIS是一个地理信息系统,用户可以通过分析地图和空间数据来确定一直住在青年旅社、戒毒中心或妇女收容所的个人。结果我们确定了115个应急住宿中心。我们计划使用这些信息来量化NI无家可归者的规模,并比较那些可能没有在当地住房当局登记的人的人口统计资料。这些人很可能代表了一个高度脆弱的群体,他们有复杂的需求,需要量身定制的支持方案。我们将讨论住房管理数据的一些局限性,以及我们探索的方法,以帮助确定那些可能不为地方当局所知的无家可归者。我们的研究结果可以用来为政策提供信息,为所有无家可归的人提供持续的照顾和支持,并减少及时获得这种支持的障碍。
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
Maximising the potential of administrative data to examine homelessness in Northern Ireland
ObjectivesHomelessness is a growing public health concern in Northern Ireland. Our study intends to measure the scale of homelessness in Northern Ireland and identify the potential of using linked administrative data to understand the complex needs of people who experience homelessness (PEH) and contribute to policy and service development. MethodsAll formal applications for homelessness go to one central body the Northern Ireland Housing Executive (NIHE). However, it is possible that a proportion might remain unknown to local housing authorities due to personal circumstances, changes in legislation or eligibility criteria etc, which might mean that formal applications underestimate the true scale of homelessness. In this study of the interplay of homelessness health and exposure to social services, we can identify emergency accommodation centres by using ArcGIS, a geographic information system that allows users to analyse maps and spatial data to identify individuals who have been residing at hostels, addiction centres or women's refuges. ResultsWe identified 115 emergency accommodation centres. We plan to use this information to quantify the scale of homelessness in NI and compare the demographic profiles of those who may not be registered with local housing authorities. It is likely these individuals may represent a highly vulnerable population with complex needs and need tailored support packages. ConclusionWe will discuss some of the limitations of housing-administrative data and the methodologies we explored to help identify those people who may not be known to local authorities that are experiencing homelessness. Our findings can be used to inform policy on providing continuity of care and support for all people experiencing homelessness and reduce barriers to timely access of this support.
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
自引率
0.00%
发文量
0
期刊最新文献
Using novel data linkage of biobank data with administrative health data to inform genomic analysis for future precision medicine treatment of congenital heart disease Common governance model: a way to avoid data segregation between existing trusted research environment Federated learning for generating synthetic data: a scoping review Health Data Governance for Research Use in Alberta Establishment of a birth-to-education cohort of 1 million Palestinian refugees using electronic medical records and electronic education records
×
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