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在新数据法规背景下构建服务级别同意的退出模型。

Building an Opt-Out Model for Service-Level Consent in the Context of New Data Regulations.

作者信息

Howarth A R, Estcourt C S, Ashcroft R E, Cassell J A

机构信息

UCL Institute for Global Health, UK.

Glasgow Caledonian University, UK.

出版信息

Public Health Ethics. 2022 Jan 11;15(2):175-180. doi: 10.1093/phe/phab030. eCollection 2022 Jul.

Abstract

The General Data Protection Regulation (GDPR) was introduced in 2018 to harmonize data privacy and security laws across the European Union (EU). It applies to any organization collecting personal data in the EU. To date, service-level consent has been used as a proportionate approach for clinical trials, which implement low-risk, routine, service-wide interventions for which individual consent is considered inappropriate. In the context of public health research, GDPR now requires that individuals have the option to choose whether their data may be used for research, which presents a challenge when consent has been given by the clinical service and not by individual service users. We report here on development of a pragmatic opt-out solution to this consent paradox in the context of a partner notification intervention trial in sexual health clinics in the UK. Our approach supports the individual's right to withhold their data from trial analysis while routinely offering the same care to all patients.

摘要

《通用数据保护条例》(GDPR)于2018年出台,旨在统一欧盟(EU)的数据隐私和安全法律。它适用于在欧盟收集个人数据的任何组织。迄今为止,服务层面的同意已被用作临床试验的一种适度方法,临床试验实施的是低风险、常规、全服务范围的干预措施,而对于这些措施,个人同意被认为是不合适的。在公共卫生研究背景下,GDPR现在要求个人可以选择其数据是否可用于研究,当同意是由临床服务机构给出而非个体服务使用者给出时,这就带来了挑战。我们在此报告在英国性健康诊所的伴侣通知干预试验背景下,针对这一同意悖论开发的一种务实的退出解决方案。我们的方法支持个人拒绝将其数据用于试验分析的权利,同时常规地为所有患者提供相同的护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e7f/9719338/27f355586ac0/phab030f1.jpg

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