IF 4.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Brian J McInnis, Ramona Pindus, Daniah H Kareem, Julie Cakici, Daniela G Vital, Eric Hekler, Camille Nebeker
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引用次数: 0

摘要

目标:数字健康研究涉及收集大量个人健康数据,这使得数据管理实践变得复杂,并且在知情同意过程中传达数据具有挑战性:我们进行了八次半结构化焦点小组讨论,探讨数据流图(DFD)是否可以补充知情同意书,并提高参与者对数据管理和相关风险的理解(N = 34 名参与者):我们的分析发现,数据流程图可以补充基于文本的数据管理和共享实践信息,比如帮助提出新的问题,促使潜在参与者与研究团队成员进行对话。研究参与者强调,需要以参与者为中心,提供清晰、简单、易懂的图表。第三方访问数据和共享敏感健康数据被认为是需要全面解释的高风险领域。与会者普遍认为,设计过程应由研究团队主导,但也应纳入许多不同的观点,以确保图表对可能不熟悉数据管理的潜在参与者有意义。几乎所有与会者都反对人工智能在设计过程中识别风险,但大多数人都同意将人工智能用作格式化和简化图表的工具。简而言之,DFD 可以补充基于文本的标准知情同意书,但不能取代知情同意书:讨论:潜在的研究参与者重视通过不同的方式了解研究的风险和益处。我们的研究强调了将信息可视化(如 DFDs)纳入参与研究的知情同意程序的价值:未来的研究应探索其他可视化同意信息的方式,帮助人们克服参与研究的数字和数据扫盲障碍。然而,创建 DFD 需要研究团队花费大量的时间和精力。为了降低这些成本,研究赞助者可以支持创建共享基础设施和实践社区,并激励研究人员开发更好的同意程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using dataflow diagrams to support research informed consent data management communications: participant perspectives.

Objectives: Digital health research involves collecting vast amounts of personal health data, making data management practices complex and challenging to convey during informed consent.

Materials and methods: We conducted eight semi-structured focus groups to explore whether dataflow diagrams (DFD) can complement informed consent and improve participants' understanding of data management and associated risks (N = 34 participants).

Results: Our analysis found that DFDs could supplement text-based information about data management and sharing practices, such as by helping raise new questions that prompt conversation between prospective participants and members of a research team. Participants in the study emphasized the need for clear, simple, and accessible diagrams that are participant centered. Third-party access to data and sharing of sensitive health data were identified as high-risk areas requiring thorough explanation. Participants generally agreed that the design process should be led by the research team, but it should incorporate many diverse perspectives to ensure the diagram was meaningful to potential participants who are likely unfamiliar with data management. Nearly all participants rejected the idea that artificial intelligence could identify risks during the design process, but most were comfortable with it being used as a tool to format and simplify the diagram. In short, DFDs may complement standard text-based informed consent documents, but they are not a replacement.

Discussion: Prospective research participants value diverse ways of learning about study risks and benefits. Our study highlights the value of incorporating information visualizations, such as DFDs, into the informed consent procedures to participate in research.

Conclusion: Future research should explore other ways of visualizing consent information in ways that help people to overcome digital and data literacy barriers to participating in research. However, creating a DFD requires significant time and effort from research teams. To alleviate these costs, research sponsors can support the creation of shared infrastructure, communities of practice, and incentivize researchers to develop better consent procedures.

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来源期刊
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association 医学-计算机:跨学科应用
CiteScore
14.50
自引率
7.80%
发文量
230
审稿时长
3-8 weeks
期刊介绍: JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.
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