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应用数字健康检查表和可读性工具来改善数字健康研究的知情同意情况。

Applying a Digital Health Checklist and Readability Tools to Improve Informed Consent for Digital Health Research.

作者信息

Nebeker Camille, Gholami Maryam, Kareem Daniah, Kim Emily

机构信息

Research Center for Optimal Digital Ethics in Health, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States.

Design Lab, University of California, San Diego, La Jolla, CA, United States.

出版信息

Front Digit Health. 2021 Jul 15;3:690901. doi: 10.3389/fdgth.2021.690901. eCollection 2021.

Abstract

As research involving human participants increasingly occurs with the aid of digital tools (e.g., mobile apps, wearable and remote pervasive sensors), the consent content and delivery process is changing. Informed consent documents to participate in research are lengthy and difficult for prospective participants to read and understand. As the consent communication will need to include concepts and procedures unique to digital health research, making that information accessible and meaningful to the prospective participant is critical for consent to be informed. This paper describes a methodology that researchers can apply when developing a consent communication for digital health research. A consent document approved by a US institutional review board was deconstructed into segments that aligned with federal requirements for informed consent. Three researchers independently revised each segment of text with a goal of achieving a readability score between a 6-8th grade level. The team then consulted with an external readability expert well-versed in revising informed consent documents into "plain language." The resulting text was evaluated using Microsoft Word and Online-Utility accessibility software. The final step involved adding visual images and graphics to complement the text. The Digital Health Checklist consent prototype builder was then used to identify areas where the consent content could be expanded to address four key domains of Access and Usability, Privacy, Risks and Benefits, and Data Management. The approved consent was evaluated at a 12.6 grade reading level, whereas the revised language by our study team received 12.4, 12, and 12.58, respectively. The final consent document synthesized the most readable of the three revised versions and was further revised to include language recommended by the software tool for improving readability, which resulted in a final revised consent readability score of a 9.2 grade level. Moreover, word count was reduced from 6,424 in the original consent to 679 in the rewritten consent form. Utilizing an iterative process to design an accessible informed consent document is a first step in achieving meaningful consent to participate in digital health research. This paper describes how a consent form approved by an institutional review board can be made more accessible to a prospective research participant by improving the document readability score, reducing the word count and assessing alignment with the Digital Health Checklist.

摘要

随着涉及人类参与者的研究越来越多地借助数字工具(如移动应用程序、可穿戴设备和远程普及传感器)进行,同意书的内容和传达过程正在发生变化。参与研究的知情同意文件篇幅冗长,潜在参与者难以阅读和理解。由于同意书的沟通需要包含数字健康研究特有的概念和程序,使这些信息对潜在参与者易于理解且有意义对于获得知情同意至关重要。本文描述了一种研究人员在为数字健康研究制定同意书沟通方式时可以采用的方法。一份经美国机构审查委员会批准的同意文件被分解成与联邦知情同意要求相符的部分。三名研究人员独立修订每一部分文本,目标是使可读性得分达到6至8年级水平。然后,该团队咨询了一位精通将知情同意文件修订为“通俗易懂语言”的外部可读性专家。使用微软Word和在线实用工具辅助软件对生成的文本进行评估。最后一步是添加视觉图像和图形以补充文本。然后使用数字健康清单同意原型构建器来确定同意书内容可以扩展以涵盖访问与可用性、隐私、风险与益处以及数据管理这四个关键领域的地方。获批的同意书评估的阅读水平为12.6年级,而我们研究团队修订后的语言分别为12.4、12和12.58年级。最终的同意文件综合了三个修订版本中可读性最强的部分,并进一步修订以纳入软件工具推荐的提高可读性的语言,最终修订后的同意书可读性得分为9.2年级水平。此外,字数从原始同意书中的6424字减少到改写后的同意书表格中的679字。利用迭代过程设计一份易于理解的知情同意文件是获得参与数字健康研究的有意义同意的第一步。本文描述了如何通过提高文件可读性得分、减少字数以及评估与数字健康清单的一致性,使机构审查委员会批准的同意书对潜在研究参与者更易于理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a599/8521887/9d988fae9873/fdgth-03-690901-g0001.jpg

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