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参与式治理在学术研究网络中的研究:以加拿大糖尿病行动为例。

Participatory governance over research in an academic research network: the case of Diabetes Action Canada.

机构信息

Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.

Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.

出版信息

BMJ Open. 2019 Apr 20;9(4):e026828. doi: 10.1136/bmjopen-2018-026828.

Abstract

Digital data generated in the course of clinical care are increasingly being leveraged for a wide range of secondary purposes. Researchers need to develop governance policies that can assure the public that their information is being used responsibly. Our aim was to develop a generalisable model for governance of research emanating from health data repositories that will invoke the trust of the patients and the healthcare professionals whose data are being accessed for health research. We developed our governance principles and processes through literature review and iterative consultation with key actors in the research network including: a data governance working group, the lead investigators and patient advisors. We then recruited persons to participate in the governing and advisory bodies. Our governance process is informed by eight principles: (1) transparency; (2) accountability; (3) follow rule of law; (4) integrity; (5) participation and inclusiveness; (6) impartiality and independence; (7) effectiveness, efficiency and responsiveness and (8) reflexivity and continuous quality improvement. We describe the rationale for these principles, as well as their connections to the subsequent policies and procedures we developed. We then describe the function of the Research Governing Committee, the majority of whom are either persons living with diabetes or physicians whose data are being used, and the patient and data provider advisory groups with whom they consult and communicate. In conclusion, we have developed a values-based information governance framework and process for Diabetes Action Canada that adds value over-and-above existing scientific and ethics review processes by adding a strong patient perspective and contextual integrity. This model is adaptable to other secure data repositories.

摘要

数字数据在临床护理过程中生成,越来越多地被用于各种次要目的。研究人员需要制定治理政策,以确保公众相信他们的信息正在被负责任地使用。我们的目标是为源于健康数据存储库的研究制定一个可推广的治理模型,该模型将唤起患者和医疗保健专业人员的信任,他们的数据正被用于健康研究。我们通过文献回顾和与研究网络中的主要参与者(包括数据治理工作组、首席研究员和患者顾问)的迭代协商,制定了我们的治理原则和流程。然后,我们招募人员参与治理和咨询机构。我们的治理过程由八项原则指导:(1)透明度;(2)问责制;(3)遵循法治;(4)完整性;(5)参与和包容性;(6)公正性和独立性;(7)有效性、效率和响应性;(8)反思和持续质量改进。我们描述了这些原则的基本原理,以及它们与我们随后制定的政策和程序的联系。然后,我们描述了研究治理委员会的职能,该委员会的大多数成员是患有糖尿病的人或其数据正在被使用的医生,以及他们咨询和沟通的患者和数据提供者咨询小组。总之,我们为加拿大糖尿病行动制定了一个基于价值的信息治理框架和流程,通过增加强烈的患者视角和背景完整性,在现有科学和伦理审查流程的基础上增加了价值。该模型适用于其他安全数据存储库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a39/6500288/6218d795cba4/bmjopen-2018-026828f01.jpg

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