Suppr超能文献

欧洲流感监测网络联盟中的研究伦理:范围综述

Research Ethics in the European Influenzanet Consortium: Scoping Review.

作者信息

Geneviève Lester Darryl, Wangmo Tenzin, Dietrich Damien, Woolley-Meza Olivia, Flahault Antoine, Elger Bernice Simone

机构信息

Institute for Biomedical Ethics, University of Basel, Basel, Switzerland.

Department of Radiology and Medical Informatics, Geneva University Hospitals, Geneva, Switzerland.

出版信息

JMIR Public Health Surveill. 2018 Oct 10;4(4):e67. doi: 10.2196/publichealth.9616.

Abstract

BACKGROUND

Influenzanet was launched in several European countries to monitor influenza-like illness during flu seasons with the help of volunteering participants and Web-based technologies. As in the case of developing fields, ethical approaches are not well developed in the collection, processing, and analysis of participants' information. Existing controversies and varying national ethical regulations can, thus, hamper efficient cross-border research collaboration to the detriment of quality disease surveillance.

OBJECTIVE

This scoping review characterizes current practices on how ethical, legal, and social issues (ELSIs) pertinent to research ethics are handled by different Influenzanet country groups to analyze similarities and identify the need for further harmonization of ethical approaches.

METHODS

A literature search was carried out on PubMed, Web of Science, Global Digital Library on Ethics, and Bioethics Literature Database to identify ELSIs for Influenzanet country platforms. Only English-language papers were included with publication dates from 2003 to 2017. Publications were screened for the application of bioethics principles in the implementation of country platforms. Additional publications gathered from the Influenzanet Consortium website, reference screening, and conference proceeding were screened for ELSIs.

RESULTS

We gathered 96 papers from our search methodology. In total, 28 papers that mentioned ELSIs were identified and included in this study. The Research Ethics Committee (REC) approvals were sought for recruiting participants and collecting their data in 8 of 11 country platforms and informed e-consent was sought from participants in 9 of 11 country platforms. Furthermore, personal data protection was ensured throughout the Consortium using data anonymization before processing and analysis and using aggregated data.

CONCLUSIONS

Epidemics forecasting activities, such as Influenzanet, are beneficial; however, its benefits could be further increased through the harmonization of data gathering and ethical requirements. This objective is achievable by the Consortium. More transparency should be promoted concerning REC-approved research for Influenzanet-like systems. The validity of informed e-consent could also be increased through the provision of a user friendly and standard information sheet across the Consortium where participants agree to its terms, conditions, and privacy policies before being able to fill in the questionnaire. This will help to build trust in the general public while preventing any decline in participation.

摘要

背景

“流感监测网”(Influenzanet)在几个欧洲国家启动,借助志愿者参与者和网络技术在流感季节监测流感样疾病。与新兴领域的情况一样,在参与者信息的收集、处理和分析方面,伦理方法尚未得到充分发展。因此,现有的争议和各国不同的伦理法规可能会阻碍高效的跨境研究合作,对高质量的疾病监测造成不利影响。

目的

本范围综述描述了不同的“流感监测网”国家小组处理与研究伦理相关的伦理、法律和社会问题(ELSI)的当前做法,以分析相似之处并确定进一步统一伦理方法的必要性。

方法

在PubMed、科学网、全球伦理数字图书馆和生物伦理文献数据库上进行文献检索,以确定“流感监测网”国家平台的ELSI。仅纳入2003年至2017年发表的英文论文。筛选出版物中生物伦理原则在国家平台实施中的应用情况。从“流感监测网”联盟网站、参考文献筛选和会议论文集收集的其他出版物中筛选ELSI。

结果

通过检索方法我们收集了96篇论文。总共确定了28篇提及ELSI的论文并纳入本研究。11个国家平台中有8个在招募参与者和收集其数据时寻求了研究伦理委员会(REC)的批准,11个国家平台中有9个向参与者寻求了知情电子同意。此外,在整个联盟中,通过在处理和分析之前对数据进行匿名化处理并使用汇总数据,确保了个人数据的保护。

结论

像“流感监测网”这样的疫情预测活动是有益的;然而,通过统一数据收集和伦理要求,其益处可以进一步提高。这一目标联盟是可以实现的。对于经REC批准的“流感监测网”类系统的研究,应提高透明度。通过在整个联盟中提供一份用户友好的标准信息表,让参与者在填写问卷之前同意其条款、条件和隐私政策,也可以提高知情电子同意的有效性。这将有助于建立公众的信任,同时防止参与率下降。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/092b/6231872/2f3acd9af334/publichealth_v4i4e67_fig1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验