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Adjusting the focus: A public health ethics approach to data research

机译:调整重点:数据研究的公共卫生道德方法

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This paper contends that a research ethics approach to the regulation of health data research is unhelpful in the era of population-level research and big data because it results in a primary focus on consent (meta-, broad, dynamic and/or specific consent). Two recent guidelines - the 2016 WMA Declaration of Taipei on ethical considerations regarding health databases and biobanks and the revised CIOMS International ethical guidelines for health-related research involving humans - both focus on the growing reliance on health data for research. But as research ethics documents, they remain (to varying degrees) focused on consent and individual control of data use. Many current and future uses of health data make individual consent impractical, if not impossible. Many of the risks of secondary data use apply to communities and stakeholders rather than individual data subjects. Shifting from a research ethics perspective to a public health lens brings a different set of issues into view: how are the benefits and burdens of data use distributed, how can data research empower communities, who has legitimate decision-making capacity? I propose that a public health ethics framework - based on public benefit, proportionality, equity, trust and accountability - provides more appropriate tools for assessing the ethical uses of health data. The main advantage of a public health approach for data research is that it is more likely to foster debate about power, justice and equity and to highlight the complexity of deciding when data use is in the public interest.
机译:本文争辩说,对健康数据研究监管的研究伦理方法在人口水平研究和大数据时代无益,因为它导致主要关注同意(Meta,广泛,动态和/或具体同意) 。最近的两个准则 - 2016 WMA关于卫生数据库和生物人士的道德考虑的2016年WMA宣言以及修订的CIOMS涉及人类的健康有关研究的国际道德准则 - 都关注越来越依赖于研究的健康数据。但作为研究道德文件,他们仍然(到不同程度),专注于同意和个人控制数据使用。如果不是不可能的话,许多当前和未来的健康数据的使用使个人同意不切实际。次要数据用途的许多风险适用于社区和利益相关者而不是单个数据科目。从研究伦理的转变为公共卫生镜头带来了一个不同的问题,进入了视野:数据使用的好处和负担如何分配,如何赋予具有合法决策能力的数据研究赋予社区?我提出了一个公共卫生伦理框架 - 基于公共利益,比例,公平,信任和问责制 - 提供了更合适的工具来评估健康数据的道德用途。对数据研究的公共卫生方法的主要优点是,更有可能促进关于权力,正义和公平的争论,并突出数据使用何时采用公共利益而决定的复杂性。

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