在联邦设计中绘制2019年跨国冠状病毒疾病指标的可行性:来自HealthData@EU试点用例的经验教训。

IF 3.9 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Charles-Andrew Vande Catsyne, Matilde Slot, Tamara Buble, Katrine Eriksen, Marija Svajda, Emanuel Bradasevic, Jakov Vukovic, Simon Kok Jensen, Helena Ivanković, Persephone Doupi, Christian Fynbo Christiansen, Nienke Schutte
{"title":"在联邦设计中绘制2019年跨国冠状病毒疾病指标的可行性:来自HealthData@EU试点用例的经验教训。","authors":"Charles-Andrew Vande Catsyne, Matilde Slot, Tamara Buble, Katrine Eriksen, Marija Svajda, Emanuel Bradasevic, Jakov Vukovic, Simon Kok Jensen, Helena Ivanković, Persephone Doupi, Christian Fynbo Christiansen, Nienke Schutte","doi":"10.1093/eurpub/ckaf017","DOIUrl":null,"url":null,"abstract":"<p><p>The European Health Data Space aims to transform health data management across the EU, supporting both primary and secondary uses of health data while ensuring trust through General Data Protection Regulation compliance. As part of the HealthData@EU Pilot, this study investigates coronavirus disease 2019 (COVID-19) testing, vaccination, and hospitalization metrics across six European countries, with a focus on socioeconomic disparities and challenges in cross-border data access and standardization. This observational, retrospective cohort study used a federated analysis framework across Belgium, Croatia, Denmark, Finland, and France. Data were linked from administrative, social, health, and care records within each country's trusted research environment. A Common Data Model (CDM)-guided data harmonization, enabling nodes to perform independent analyses and share aggregated results. Key data processes (discovery, access, preparation, and analysis) were decentralized, with significant variability in data access procedures, security protocols, and available resources among nodes. The study revealed substantial differences in COVID-19 testing, vaccination, and hospitalization rates across countries. Denmark exhibited notably higher testing and infection rates. However, the study encountered key challenges: complex data access procedures, fragmented and incomplete socioeconomic data, and the need for extensive harmonization. Learnings from this pilot underscore the importance of streamlined, cross-country data access and standardization processes, which the European Health Data Space (EHDS) framework aims to address. The pilot demonstrates the feasibility of federated health data analysis across multiple countries while highlighting limitations in data access and interoperability. The EHDS framework offers a promising path to overcome these barriers, supporting efficient and standardized cross-border health research in the EU.</p>","PeriodicalId":12059,"journal":{"name":"European Journal of Public Health","volume":"35 Supplement_3","pages":"iii11-iii17"},"PeriodicalIF":3.9000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12420901/pdf/","citationCount":"0","resultStr":"{\"title\":\"Feasibility of mapping cross-country population coronavirus disease 2019 metrics in a federated design: learnings from a HealthData@EU Pilot use case.\",\"authors\":\"Charles-Andrew Vande Catsyne, Matilde Slot, Tamara Buble, Katrine Eriksen, Marija Svajda, Emanuel Bradasevic, Jakov Vukovic, Simon Kok Jensen, Helena Ivanković, Persephone Doupi, Christian Fynbo Christiansen, Nienke Schutte\",\"doi\":\"10.1093/eurpub/ckaf017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The European Health Data Space aims to transform health data management across the EU, supporting both primary and secondary uses of health data while ensuring trust through General Data Protection Regulation compliance. As part of the HealthData@EU Pilot, this study investigates coronavirus disease 2019 (COVID-19) testing, vaccination, and hospitalization metrics across six European countries, with a focus on socioeconomic disparities and challenges in cross-border data access and standardization. This observational, retrospective cohort study used a federated analysis framework across Belgium, Croatia, Denmark, Finland, and France. Data were linked from administrative, social, health, and care records within each country's trusted research environment. A Common Data Model (CDM)-guided data harmonization, enabling nodes to perform independent analyses and share aggregated results. Key data processes (discovery, access, preparation, and analysis) were decentralized, with significant variability in data access procedures, security protocols, and available resources among nodes. The study revealed substantial differences in COVID-19 testing, vaccination, and hospitalization rates across countries. Denmark exhibited notably higher testing and infection rates. However, the study encountered key challenges: complex data access procedures, fragmented and incomplete socioeconomic data, and the need for extensive harmonization. Learnings from this pilot underscore the importance of streamlined, cross-country data access and standardization processes, which the European Health Data Space (EHDS) framework aims to address. The pilot demonstrates the feasibility of federated health data analysis across multiple countries while highlighting limitations in data access and interoperability. The EHDS framework offers a promising path to overcome these barriers, supporting efficient and standardized cross-border health research in the EU.</p>\",\"PeriodicalId\":12059,\"journal\":{\"name\":\"European Journal of Public Health\",\"volume\":\"35 Supplement_3\",\"pages\":\"iii11-iii17\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12420901/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/eurpub/ckaf017\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/eurpub/ckaf017","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

摘要

欧洲健康数据空间旨在改变整个欧盟的健康数据管理,支持健康数据的主要和次要使用,同时通过遵守《通用数据保护条例》确保信任。作为HealthData@EU试点项目的一部分,本研究调查了六个欧洲国家2019冠状病毒病(COVID-19)的检测、疫苗接种和住院指标,重点关注社会经济差距以及跨境数据获取和标准化方面的挑战。这项观察性、回顾性队列研究采用了横跨比利时、克罗地亚、丹麦、芬兰和法国的联邦分析框架。数据来自每个国家可信赖的研究环境中的行政、社会、卫生和护理记录。公共数据模型(CDM)指导的数据协调,使节点能够执行独立的分析并共享聚合的结果。关键数据过程(发现、访问、准备和分析)是分散的,在数据访问过程、安全协议和节点间可用资源方面存在显著差异。该研究显示,各国在COVID-19检测、疫苗接种和住院率方面存在巨大差异。丹麦的检测率和感染率明显较高。然而,该研究遇到了一些关键挑战:复杂的数据获取程序、碎片化和不完整的社会经济数据以及广泛协调的必要性。从这一试点中吸取的经验教训强调了精简的跨国数据获取和标准化进程的重要性,这也是欧洲卫生数据空间框架旨在解决的问题。该试点项目展示了跨多个国家联合卫生数据分析的可行性,同时突出了数据获取和互操作性方面的局限性。EHDS框架为克服这些障碍提供了一条有希望的途径,支持欧盟高效和标准化的跨境卫生研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Feasibility of mapping cross-country population coronavirus disease 2019 metrics in a federated design: learnings from a HealthData@EU Pilot use case.

Feasibility of mapping cross-country population coronavirus disease 2019 metrics in a federated design: learnings from a HealthData@EU Pilot use case.

Feasibility of mapping cross-country population coronavirus disease 2019 metrics in a federated design: learnings from a HealthData@EU Pilot use case.

Feasibility of mapping cross-country population coronavirus disease 2019 metrics in a federated design: learnings from a HealthData@EU Pilot use case.

The European Health Data Space aims to transform health data management across the EU, supporting both primary and secondary uses of health data while ensuring trust through General Data Protection Regulation compliance. As part of the HealthData@EU Pilot, this study investigates coronavirus disease 2019 (COVID-19) testing, vaccination, and hospitalization metrics across six European countries, with a focus on socioeconomic disparities and challenges in cross-border data access and standardization. This observational, retrospective cohort study used a federated analysis framework across Belgium, Croatia, Denmark, Finland, and France. Data were linked from administrative, social, health, and care records within each country's trusted research environment. A Common Data Model (CDM)-guided data harmonization, enabling nodes to perform independent analyses and share aggregated results. Key data processes (discovery, access, preparation, and analysis) were decentralized, with significant variability in data access procedures, security protocols, and available resources among nodes. The study revealed substantial differences in COVID-19 testing, vaccination, and hospitalization rates across countries. Denmark exhibited notably higher testing and infection rates. However, the study encountered key challenges: complex data access procedures, fragmented and incomplete socioeconomic data, and the need for extensive harmonization. Learnings from this pilot underscore the importance of streamlined, cross-country data access and standardization processes, which the European Health Data Space (EHDS) framework aims to address. The pilot demonstrates the feasibility of federated health data analysis across multiple countries while highlighting limitations in data access and interoperability. The EHDS framework offers a promising path to overcome these barriers, supporting efficient and standardized cross-border health research in the EU.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
European Journal of Public Health
European Journal of Public Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
5.60
自引率
2.30%
发文量
2039
审稿时长
3-8 weeks
期刊介绍: The European Journal of Public Health (EJPH) is a multidisciplinary journal aimed at attracting contributions from epidemiology, health services research, health economics, social sciences, management sciences, ethics and law, environmental health sciences, and other disciplines of relevance to public health. The journal provides a forum for discussion and debate of current international public health issues, with a focus on the European Region. Bi-monthly issues contain peer-reviewed original articles, editorials, commentaries, book reviews, news, letters to the editor, announcements of events, and various other features.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信