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.

该项目旨在利用欧洲范围内的数据集，通过三个主要工作包采用跨学科方法来研究跨越全球边界移民的儿童和年轻人的健康状况。该项目的目标与可持续发展目标（特别是 SDG 10.7）和联合国“不让任何人掉队”框架相关，因为这些人群经常遭受多重交叉形式的歧视。1。通过系统回顾和荟萃分析进行证据综合，以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。所有可用数据都将纳入荟萃分析，目的是评估流动儿童特定疾病的发病率/患病率。在可能的情况下，并注意到作为一个研究群体的儿童移民的异质性，我将寻求根据不同的人口标记（例如年龄组、性别、原籍国家/地区、移民类型等）分析现有数据。2。使用不同国家的常规数据集进行跨国比较，分析和比较欧洲各地传染病和性健康筛查以及儿童移民健康结果的回顾性数据。我将使用 t 检验和卡方检验来量化和比较移民和非移民儿童之间以及儿童移民和成年移民之间的疾病发病率，并探索与年龄、性别、原籍国和东道国/地区的关联进行风险评估。为了检查一段时间内的趋势，我将进行时间序列分析。我将更广泛地检查筛查数据、人口覆盖率、疾病发病率和获得医疗保健的机会，并使用多元回归将其与人口统计、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. 对欧洲各地筛选政策进行政策分析，审查其方法、实施情况和随时间的演变，特别是制定针对移民儿童的具体条款。我将使用因果推理方法将这些变化对特定疾病识别、传染病发病率、筛查率、覆盖率和结果（例如计划外的医疗保健使用和其他健康状况指标）的影响关联起来。例如，我将使用项目早期进行的定量分析来开发与政策变化实施前后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”，我将进行双重差分分析，试图将政策变化（例如移民儿童获得医疗保健的机会）与相关影响联系起来（例如流动儿童的医疗保健结果）。该项目侧重于定量技能的开发和应用，包括先进的统计方法和流行病学技能，以分析欧洲范围内的大型公开数据集，并利用跨学科数据源（社会和政治科学以及政策文献）来开展对进入不同欧洲国家的青少年的国家筛查计划和途径进行政策分析。