支助人民数据链接方案:对住房相关支助对使用保健服务的影响进行关联数据研究

Tony Whiffen, Kathryn Helliwell
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 MethodsEstablish data sharing agreements and acquire data for 21 out of 22 Local Authorities. Link the acquired Wales-wide sample of Supporting People data with other routine health and administrative datasets in the SAIL Databank. Examine the impact on subsequent interactions with other services (i.e. health, social care, housing options and pre-16 education). Create control groups and identify subgroups of clients to better quantify the effects of the Supporting People intervention. Compare service utilisation groups of clients and non-clients to inform future provision of public services.
 ResultsWork to validate the SPDLP approach by applying the method from the earlier Supporting People Data Linking Feasibility Study (SPDLFS) to the most recent data has been completed. Results from this will be presented along with emerging findings related to repeat homelessness. The development of health economics approaches to evaluating the impact of the programme will also be presented.
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 ResultsWork to validate the SPDLP approach by applying the method from the earlier Supporting People Data Linking Feasibility Study (SPDLFS) to the most recent data has been completed. Results from this will be presented along with emerging findings related to repeat homelessness. The development of health economics approaches to evaluating the impact of the programme will also be presented.
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摘要

威尔士政府支助人民方案的年度预算超过1.2亿英镑,提供与住房有关的支助,帮助弱势群体避免无家可归,尽可能独立生活。SPDLP的目的是确定该方案对其他公共服务(如医疗保健)的影响。方法建立数据共享协议,获取22个地方当局中的21个的数据。将获得的威尔士范围内的支持人口数据样本与SAIL数据库中的其他常规健康和管理数据集联系起来。审查对随后与其他服务(即保健、社会护理、住房选择和16岁前教育)相互作用的影响。创建控制组并确定客户的子组,以更好地量化支持人员干预的效果。比较客户和非客户的服务使用情况,以便日后提供公共服务。 通过将早期支持人员数据链接可行性研究(SPDLFS)的方法应用于最新数据,验证SPDLP方法的工作已经完成。这项研究的结果将与有关重复无家可归的新发现一起提出。还将介绍评价该方案影响的卫生经济学方法的发展情况。对于威尔士的大多数地方当局,我们已经开发了一个纵向关联的数据集,其中包含有无家可归风险的人的详细信息。这成功地使统计研究和分析能够探索政府方案在解决不平等和回答有关无家可归的研究问题方面的更广泛影响。
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Supporting People Data Linking Programme: Linked data research into the impact of housing-related support on use of healthcare services
ObjectivesWith an annual budget of over £120 million, the Welsh Government Supporting People Programme provided housing-related support to help vulnerable people to avoid homelessness and live as independently as possible. The SPDLP aims to determine the impact of the programme on other public services I.e. healthcare. MethodsEstablish data sharing agreements and acquire data for 21 out of 22 Local Authorities. Link the acquired Wales-wide sample of Supporting People data with other routine health and administrative datasets in the SAIL Databank. Examine the impact on subsequent interactions with other services (i.e. health, social care, housing options and pre-16 education). Create control groups and identify subgroups of clients to better quantify the effects of the Supporting People intervention. Compare service utilisation groups of clients and non-clients to inform future provision of public services. ResultsWork to validate the SPDLP approach by applying the method from the earlier Supporting People Data Linking Feasibility Study (SPDLFS) to the most recent data has been completed. Results from this will be presented along with emerging findings related to repeat homelessness. The development of health economics approaches to evaluating the impact of the programme will also be presented. ConclusionFor most local authorities in Wales, we have developed a longitudinal linked dataset comprising details of people at risk of homelessness. This has successfully enabled statistical research and analysis to explore the wider impact of government programmes to address inequalities and answer research questions around homelessness.
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