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Applying a Digital Health Checklist and Readability Tools to Improve Informed Consent for Digital Health Research
Background: 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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521887/ https://www.ncbi.nlm.nih.gov/pubmed/34713167 http://dx.doi.org/10.3389/fdgth.2021.690901 |
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author | Nebeker, Camille Gholami, Maryam Kareem, Daniah Kim, Emily |
author_facet | Nebeker, Camille Gholami, Maryam Kareem, Daniah Kim, Emily |
author_sort | Nebeker, Camille |
collection | PubMed |
description | Background: 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. Methods: 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. Results: 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. Conclusion: 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. |
format | Online Article Text |
id | pubmed-8521887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85218872021-10-27 Applying a Digital Health Checklist and Readability Tools to Improve Informed Consent for Digital Health Research Nebeker, Camille Gholami, Maryam Kareem, Daniah Kim, Emily Front Digit Health Digital Health Background: 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. Methods: 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. Results: 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. Conclusion: 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. Frontiers Media S.A. 2021-07-15 /pmc/articles/PMC8521887/ /pubmed/34713167 http://dx.doi.org/10.3389/fdgth.2021.690901 Text en Copyright © 2021 Nebeker, Gholami, Kareem and Kim. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Digital Health Nebeker, Camille Gholami, Maryam Kareem, Daniah Kim, Emily Applying a Digital Health Checklist and Readability Tools to Improve Informed Consent for Digital Health Research |
title | Applying a Digital Health Checklist and Readability Tools to Improve Informed Consent for Digital Health Research |
title_full | Applying a Digital Health Checklist and Readability Tools to Improve Informed Consent for Digital Health Research |
title_fullStr | Applying a Digital Health Checklist and Readability Tools to Improve Informed Consent for Digital Health Research |
title_full_unstemmed | Applying a Digital Health Checklist and Readability Tools to Improve Informed Consent for Digital Health Research |
title_short | Applying a Digital Health Checklist and Readability Tools to Improve Informed Consent for Digital Health Research |
title_sort | applying a digital health checklist and readability tools to improve informed consent for digital health research |
topic | Digital Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521887/ https://www.ncbi.nlm.nih.gov/pubmed/34713167 http://dx.doi.org/10.3389/fdgth.2021.690901 |
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