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Creation and analysis of a ‘national’ homelessness prevention programme dataset – The Supporting People Data Linkage Study

机译:“国家”无家可归预防计划数据集的创作与分析 - 支持人员数据联系研究

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摘要

BackgroundWelsh Government (WG) invests over £120m annually in housing related support to help prevent and tackle homelessness under the Supporting People (SP) Programme.A 2016 data-linkage Feasibility Study for two Local Authorities (LAs) indicated health-service utilisation reductions post-intervention, and led to a four-year ADRC-Wales project to create a national, all-Wales dataset to provide robust statistical results.ObjectivesEstablish data sharing agreements and acquire anonymised individual level data into the SAIL (Secure Anonymised Information Linkage) databank to create a national, all-Wales, longitudinal SP dataset.Create control groups and carry out statistical analysis to investigate how the Supporting People Programme may help service users and the effects on other public services.Methods (including data)Intervention data for Supporting People service users was collected from individual LAs and imported into the SAIL databank using a split file process to maintain anonymity.Anonymised service users data were linked at the individual level to demographic and health data records for in excess of 40,000 individuals, with outcome measures created based on emergency hospital admissions, accident and emergency visits and General Practice events.Several control group creation methods were examined: 1) Internal Intervention Programme Data; 2) Matched controls using the SAIL databank; 3) Healthcare-Utilisation Patterns; 4) External Data Sources (Housing Options and Substance Misuse datasets).FindingsData sharing agreements and data acquisition complete for nineteen of twenty-two LAs, discussions ongoing for remaining LAs.Health data-linkage complete, other public service data acquisition ongoing.Annual progress reports published, main statistical analysis underway and due for 2018 publication.ConclusionsWe discuss challenges and opportunities around acquiring multi-sourced administrative data, methods of creating meaningful control groups and planned statistical analysis.
机译:BackgroundWelsh政府(WG)每年投资于住房相关的支持超过120米,以帮助预防和解决支持人员(SP)计划的无家可归者。2016年两次地方当局(LAS)的数据联系可行性研究表明干预后的健康服务利用率减少,并导致了一个四年的ADRC-Wales项目,以创建国家,全威尔士数据集,以提供强大的统计结果。ObjectiveSablish数据共享协议并将匿名单个级别数据获取到Sail(安全匿名信息链接)数据库,以创建国家,全威尔士纵向SP数据集。创建控制组并进行统计分析,调查支持人员计划如何帮助服务用户和对其他公共服务的影响。方法(包括数据)用于支持人员服务用户的干预数据是从个人LAS收集的,并使用拆分文件进程导入Sail Databank来维护匿名。匿名服务用户数据在个人级别链接到超过40,000人的人口统计和健康数据记录,并根据紧急住院招生,事故和紧急访问以及一般练习事件创建的结果措施。审查了几种对照组创建方法:1)内部干预计划数据; 2)使用帆数据库的匹配控件; 3)医疗保健利用模式; 4)外部数据源(外壳选项和物质滥用数据集)。FindingsData分享协议和数据采集完成二十二届LAS的十九次,讨论剩余LAS。健康数据联动完成,其他公共服务数据采集正在进行中。年度进度报告已发布,主要统计分析正在进行和2018年出版物。结论我们讨论了获取多源行政数据的挑战和机遇,创建有意义的控制组和计划统计分析的方法。

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