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巴伐利亚利益相关者在 COVID-19 大流行期间将健康数据用于研究目的的二次使用的实践和态度:定性访谈研究。

Practices and Attitudes of Bavarian Stakeholders Regarding the Secondary Use of Health Data for Research Purposes During the COVID-19 Pandemic: Qualitative Interview Study.

机构信息

Institute of History and Ethics in Medicine, TUM School of Medicine, Technical University of Munich, Munich, Germany.

TUM Center for Digital Public Services, Department Governance, TUM School of Social Sciences and Technology, Technical University of Munich, Munich, Germany.

出版信息

J Med Internet Res. 2022 Jun 27;24(6):e38754. doi: 10.2196/38754.

Abstract

BACKGROUND

The COVID-19 pandemic is a threat to global health and requires collaborative health research efforts across organizations and countries to address it. Although routinely collected digital health data are a valuable source of information for researchers, benefiting from these data requires accessing and sharing the data. Health care organizations focusing on individual risk minimization threaten to undermine COVID-19 research efforts, and it has been argued that there is an ethical obligation to use the European Union's General Data Protection Regulation (GDPR) scientific research exemption during the COVID-19 pandemic to support collaborative health research.

OBJECTIVE

This study aims to explore the practices and attitudes of stakeholders in the German federal state of Bavaria regarding the secondary use of health data for research purposes during the COVID-19 pandemic, with a specific focus on the GDPR scientific research exemption.

METHODS

Individual semistructured qualitative interviews were conducted between December 2020 and January 2021 with a purposive sample of 17 stakeholders from 3 different groups in Bavaria: researchers involved in COVID-19 research (n=5, 29%), data protection officers (n=6, 35%), and research ethics committee representatives (n=6, 35%). The transcripts were analyzed using conventional content analysis.

RESULTS

Participants identified systemic challenges in conducting collaborative secondary-use health data research in Bavaria; secondary health data research generally only happens when patient consent has been obtained, or the data have been fully anonymized. The GDPR research exemption has not played a significant role during the pandemic and is currently seldom and restrictively used. Participants identified 3 key groups of barriers that led to difficulties: the wider ecosystem at many Bavarian health care organizations, legal uncertainty that leads to risk-adverse approaches, and ethical positions that patient consent ought to be obtained whenever possible to respect patient autonomy. To improve health data research in Bavaria and across Germany, participants wanted greater legal certainty regarding the use of pseudonymized data for research purposes without the patient's consent.

CONCLUSIONS

The current balance between enabling the positive goals of health data research and avoiding associated data protection risks is heavily skewed toward avoiding risks; so much so that it makes reaching the goals of health data research extremely difficult. This is important, as it is widely recognized that there is an ethical imperative to use health data to improve care. The current approach also creates a problematic conflict with the ambitions of Germany, and the federal state of Bavaria, to be a leader in artificial intelligence. A recent development in the field of German public administration known as norm screening (Normenscreening) could potentially provide a systematic approach to minimize legal barriers. This approach would likely be beneficial to other countries.

摘要

背景

COVID-19 大流行对全球健康构成威胁,需要组织和国家之间开展合作性的卫生研究工作来应对这一挑战。虽然常规收集的数字健康数据是研究人员的宝贵信息来源,但要从这些数据中受益,则需要访问和共享数据。关注个体风险最小化的医疗机构可能会破坏 COVID-19 研究工作,有人认为,在 COVID-19 大流行期间,有道德义务利用欧盟的《通用数据保护条例》(GDPR)科学研究豁免来支持合作性的卫生研究。

目的

本研究旨在探讨德国巴伐利亚联邦州的利益相关者在 COVID-19 大流行期间对健康数据进行二次使用以进行研究的做法和态度,重点关注 GDPR 科学研究豁免。

方法

2020 年 12 月至 2021 年 1 月,采用目的性抽样,对来自巴伐利亚州的 3 个不同群体的 17 名利益相关者进行了个体半结构化定性访谈:参与 COVID-19 研究的研究人员(n=5,29%)、数据保护官员(n=6,35%)和研究伦理委员会代表(n=6,35%)。使用常规内容分析法对转录本进行分析。

结果

参与者确定了在巴伐利亚州开展合作性二次使用健康数据研究所面临的系统性挑战;健康数据的二次研究通常仅在获得患者同意或数据已完全匿名时进行。在大流行期间,GDPR 研究豁免并未发挥重要作用,目前很少且限制使用。参与者确定了导致困难的 3 个关键障碍群体:巴伐利亚州许多医疗机构的更广泛生态系统、导致风险规避方法的法律不确定性,以及道德立场,即只要有可能,应获得患者同意以尊重患者自主权。为了改善巴伐利亚州和德国的健康数据研究,参与者希望在没有患者同意的情况下,为研究目的使用化名数据提供更大的法律确定性。

结论

在促进健康数据研究的积极目标和避免相关数据保护风险之间,目前的平衡严重偏向于避免风险;以至于使实现健康数据研究目标变得极其困难。这一点很重要,因为人们普遍认识到,利用健康数据改善医疗服务是符合伦理要求的。目前的方法还与德国和巴伐利亚州成为人工智能领导者的雄心形成了一个有问题的冲突。德国公共行政领域的一个新发展,即规范筛选(Normenscreening),可能为最小化法律障碍提供系统的方法。这种方法可能对其他国家也有益。

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