Migrant health in children and young people in Europe: An analysis of Europe-wide routine datasets

欧洲儿童和青少年的移民健康：对欧洲范围内常规数据集的分析

• 批准号: 2881839
• 金额: --
• 依托单位: St George's, University of London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2881839
• 关键词: Migrant; health; children; young; people

This project aims to use Europe-wide datasets to study the health of children and young people who have migrated across global borders, using an interdisciplinary approach across three major work packages. The objectives of the project are pertinent to the Sustainable Development Goals (particularly SDG 10.7) and the UN 'Leave No One Behind' Framework as these populations are often subject to multiple and intersecting forms of discrimination.1. Evidence Synthesis through a systematic review and meta-analysis to understand the European burden of key infections including HIV, TB, Hep B and C, and other sexually transmitted infections in migrant children. All available data will be included in the meta-analysis, with the goal of assessing the incidence/prevalence of specific diseases in child migrants. Where possible and noting the heterogenous nature of child migrants as a study group, I will seek to analyse the available data against different demographic markers (e.g. age groups, gender, country/region of origin, type of migration etc.).2. Cross-country comparison using routine datasets from different countries to analyse and compare retrospective data on infectious diseases and sexual health screening and the health outcomes of child migrants across Europe. I will quantify and compare disease incidence between migrant and non-migrant children and between child migrants and adult migrants using t-tests and chi-squared tests, as well as exploring associations with age, gender, country of origin, and host country/region to develop risk estimates. To examine trends over time, I will conduct time series analysis. I will examine screening data, population coverage, disease incidence and access to healthcare more broadly, linking this to demographic, health, population and migration data using multivariate regression to understand relationships between these factors. 3. Policy analysis of screening policies across Europe, examining their approaches, implementation and evolution over time, particularly drawing out any specific clauses focusing on migrant children. I will use causal inference methods to correlate the effects of these changes on disease-specific identification, infectious disease incidence, screening uptake, coverage and outcomes such as unscheduled health care usage and other health status indicators. For example, I will use the quantitative analysis conducted earlier in the project to develop panel data that correspond to time periods before and after implementation of policy changes. Countries with policy changes will then be "paired" with countries or groups of countries without policy changes and I will conduct difference-in-difference analysis to attempt to causally link changes in policy (e.g. access to healthcare for migrant children) with associated impacts (e.g. healthcare outcomes for migrant children). This project focuses on the development and application of quantitative skills, including advanced statistical methods and epidemiology skills, to analyse large publicly available Europe-wide datasets as well as drawing on interdisciplinary data sources (social and political science and policy literature) to carry out a policy analysis of national screening programmes and pathways that exist for adolescents entering different European countries.

该项目旨在使用欧洲范围的数据集来研究跨越全球边界移民的儿童和年轻人的健康状况，采用跨学科的方法，跨越三个主要工作包。该项目的目标与可持续发展目标(特别是可持续发展目标10.7)和联合国“不让任何人掉队”框架有关，因为这些人口往往受到多种交叉形式的歧视1。证据综合通过系统的回顾和荟萃分析，了解欧洲主要感染的负担，包括艾滋病毒、结核病、乙型和丙型肝炎，以及移民儿童中的其他性传播感染。所有现有数据都将纳入荟萃分析，目的是评估移徙儿童中特定疾病的发病率/流行率。在可能的情况下，并注意到移徙儿童作为一个研究群体的异质性，我将设法对照不同的人口统计指标(如年龄组、性别、原籍国家/地区、移徙类型等)分析现有数据。使用来自不同国家的常规数据集进行跨国比较，以分析和比较关于欧洲各地儿童移民的传染病和性健康筛查以及健康结果的回顾数据。我将使用t检验和卡方检验量化和比较移徙儿童和非移徙儿童之间以及儿童移徙者和成年移徙者之间的发病率，并探索与年龄、性别、原籍国和东道国/地区的关系，以制定风险估计。为了考察一段时间内的趋势，我将进行时间序列分析。我将更广泛地研究筛查数据、人口覆盖率、疾病发病率和获得医疗保健的机会，使用多元回归将其与人口、健康、人口和移民数据联系起来，以了解这些因素之间的关系。3.对欧洲各地的甄别政策进行政策分析，审查其方法、执行情况和随时间的演变，特别是拟定任何侧重于移徙儿童的具体条款。我将使用因果推理方法将这些变化对疾病特定识别、传染病发病率、筛查吸收、覆盖率和结果(如计划外卫生保健使用和其他健康状况指标)的影响联系起来。例如，我将使用项目前面进行的量化分析来开发与政策变化实施前后的时间段相对应的面板数据。然后，政策发生变化的国家将与没有政策变化的国家或国家集团“配对”，我将进行差异分析，试图将政策变化(例如，移民儿童获得医疗保健的机会)与相关影响(例如，移民儿童的医疗保健结果)之间存在因果联系。该项目的重点是发展和应用量化技能，包括先进的统计方法和流行病学技能，以分析全欧洲公开提供的大型数据集，并利用跨学科数据来源(社会和政治学和政策文献)，对进入不同欧洲国家的青少年现有的国家筛查方案和途径进行政策分析。