欧盟定居地位(威尔士)数据联系项目:与卫生和教育有关的初步调查结果

Ffion Lloyd-Williams, Stephen Drinkwater, Matt Curds
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 MethodUsing a range of de-identified data in the SAIL Databank, a control group of British citizens in Wales has been matched with EU citizens with similar characteristics using the Census 2011 as a spine to identify country of birth. The SQL coding programme is used to link Census data with several other datasets in the SAIL Databank relating to health, with a focus on mental health, education and employment. The R software package is used for statistical analysis to produce comparisons between the groups and performing significance tests of these comparisons (e.g. Mann Whitney).
 ResultsInitial findings indicate small but statistically significant differences in school attendance between British pupils in Wales and pupils from EU14 and EU8 countries and similar differences in school attainment between British pupils in Wales and pupils from EU14 and EU8 countries. Further analysis has been conducted to explore differences between pupils from EU14 and EU8 countries. Census data are also linked to GP attendance data to explore differences in mental health related consultations and referrals for British citizens in Wales and citizens from EU countries and differences between citizens from EU14 and EU8 countries. Detailed findings from this linking of datasets and analysis will be presented.
 ConclusionLinking data in this way helps to gain a better understanding of the experiences and outcomes of EU citizens in Wales, generating better evidence to help inform policies and services that address the needs of this population and offers a dataset of great interest to academics.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The EU Settled Status (Wales) data linkage project: Initial findings relating to health and education\",\"authors\":\"Ffion Lloyd-Williams, Stephen Drinkwater, Matt Curds\",\"doi\":\"10.23889/ijpds.v8i2.2185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ObjectivesFunded by ADR UK (ESRC) from 2020 to 2023, the project aims to anonymously link European Union Settlement Scheme (EUSS) data with other data already held within the SAIL Databank, based at Swansea University, and produce a research-ready dataset that can be used by researchers to obtain policy-relevant findings.
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 ResultsInitial findings indicate small but statistically significant differences in school attendance between British pupils in Wales and pupils from EU14 and EU8 countries and similar differences in school attainment between British pupils in Wales and pupils from EU14 and EU8 countries. Further analysis has been conducted to explore differences between pupils from EU14 and EU8 countries. Census data are also linked to GP attendance data to explore differences in mental health related consultations and referrals for British citizens in Wales and citizens from EU countries and differences between citizens from EU14 and EU8 countries. Detailed findings from this linking of datasets and analysis will be presented.
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摘要

目标由ADR UK (ESRC)资助,从2020年到2023年,该项目旨在将欧盟结算计划(EUSS)数据与位于斯旺西大学的SAIL数据库中已经持有的其他数据匿名链接起来,并产生一个研究就绪的数据集,可供研究人员使用,以获得与政策相关的发现。 方法使用SAIL数据库中的一系列去识别数据,将威尔士的一组英国公民与具有相似特征的欧盟公民进行匹配,使用2011年人口普查作为确定出生国家的脊柱。使用SQL编码方案将人口普查数据与SAIL数据库中与健康有关的其他几个数据集联系起来,重点是心理健康、教育和就业。R软件包用于统计分析,以产生组间比较,并对这些比较进行显著性检验(例如Mann Whitney)。 初步研究结果表明,在威尔士的英国学生与来自欧盟14国和欧盟8国的学生在出勤率方面存在微小但统计上显著的差异,在威尔士的英国学生与来自欧盟14国和欧盟8国的学生在学业成绩方面也存在类似差异。进一步的分析探讨了欧盟14国和欧盟8国学生之间的差异。人口普查数据还与全科医生就诊数据相联系,以探索威尔士英国公民与欧盟国家公民在心理健康相关咨询和转诊方面的差异,以及欧盟14国和欧盟8国公民之间的差异。将介绍从这种数据集和分析的联系中得到的详细结果。以这种方式链接数据有助于更好地了解威尔士欧盟公民的经历和结果,产生更好的证据,以帮助告知解决这一人口需求的政策和服务,并提供学术界非常感兴趣的数据集。
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The EU Settled Status (Wales) data linkage project: Initial findings relating to health and education
ObjectivesFunded by ADR UK (ESRC) from 2020 to 2023, the project aims to anonymously link European Union Settlement Scheme (EUSS) data with other data already held within the SAIL Databank, based at Swansea University, and produce a research-ready dataset that can be used by researchers to obtain policy-relevant findings. MethodUsing a range of de-identified data in the SAIL Databank, a control group of British citizens in Wales has been matched with EU citizens with similar characteristics using the Census 2011 as a spine to identify country of birth. The SQL coding programme is used to link Census data with several other datasets in the SAIL Databank relating to health, with a focus on mental health, education and employment. The R software package is used for statistical analysis to produce comparisons between the groups and performing significance tests of these comparisons (e.g. Mann Whitney). ResultsInitial findings indicate small but statistically significant differences in school attendance between British pupils in Wales and pupils from EU14 and EU8 countries and similar differences in school attainment between British pupils in Wales and pupils from EU14 and EU8 countries. Further analysis has been conducted to explore differences between pupils from EU14 and EU8 countries. Census data are also linked to GP attendance data to explore differences in mental health related consultations and referrals for British citizens in Wales and citizens from EU countries and differences between citizens from EU14 and EU8 countries. Detailed findings from this linking of datasets and analysis will be presented. ConclusionLinking data in this way helps to gain a better understanding of the experiences and outcomes of EU citizens in Wales, generating better evidence to help inform policies and services that address the needs of this population and offers a dataset of great interest to academics.
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