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A REDCap-based model for electronic consent (eConsent): Moving toward a more personalized consent

Published online by Cambridge University Press:  03 April 2020

Colleen E. Lawrence
Affiliation:
Vanderbilt Institute for Clinical and Translational Research (VICTR), Vanderbilt University Medical Center, Nashville, TN, USA
Leah Dunkel
Affiliation:
Vanderbilt Institute for Clinical and Translational Research (VICTR), Vanderbilt University Medical Center, Nashville, TN, USA
Mark McEver
Affiliation:
Vanderbilt Institute for Clinical and Translational Research (VICTR), Vanderbilt University Medical Center, Nashville, TN, USA
Tiffany Israel
Affiliation:
Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA
Robert Taylor
Affiliation:
Vanderbilt Office of Research, Vanderbilt University Medical Center, Nashville, TN, USA
Germán Chiriboga
Affiliation:
Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
Karin Valentine Goins
Affiliation:
Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
Elizabeth J. Rahn
Affiliation:
Division of Clinical Immunology/Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA
Amy S. Mudano
Affiliation:
Department of Medicine, The University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
Erik D. Roberson
Affiliation:
Department of Neurology, Alzheimer’s Disease Center, The University of Alabama at Birmingham, Birmingham, AL, USA
Carol Chambless
Affiliation:
Department of Neurology, Alzheimer’s Disease Center, The University of Alabama at Birmingham, Birmingham, AL, USA
Virginia G. Wadley
Affiliation:
Department of Medicine, The University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
Maria I. Danila
Affiliation:
Division of Clinical Immunology/Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA
Melissa A. Fischer
Affiliation:
Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
Yvonne Joosten
Affiliation:
Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA
Kenneth G. Saag
Affiliation:
Division of Clinical Immunology/Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA Department of Medicine, The University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
Jeroan J. Allison
Affiliation:
Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
Stephenie C. Lemon
Affiliation:
Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
Paul A. Harris*
Affiliation:
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
*
Address for correspondence: P. A. Harris, PhD, Department of Biomedical Informatics, Vanderbilt University Medical Center, 2525 West End Ave, Nashville, TN37203, USA. Email: paul.a.harris@vumc.org
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Abstract

Introduction:

The updated common rule, for human subjects research, requires that consents “begin with a ‘concise and focused’ presentation of the key information that will most likely help someone make a decision about whether to participate in a study” (Menikoff, Kaneshiro, Pritchard. The New England Journal of Medicine. 2017; 376(7): 613–615.). We utilized a community-engaged technology development approach to inform feature options within the REDCap software platform centered around collection and storage of electronic consent (eConsent) to address issues of transparency, clinical trial efficiency, and regulatory compliance for informed consent (Harris, et al. Journal of Biomedical Informatics 2009; 42(2): 377–381.). eConsent may also improve recruitment and retention in clinical research studies by addressing: (1) barriers for accessing rural populations by facilitating remote consent and (2) cultural and literacy barriers by including optional explanatory material (e.g., defining terms by hovering over them with the cursor) or the choice of displaying different videos/images based on participant’s race, ethnicity, or educational level (Phillippi, et al. Journal of Obstetric, Gynecologic, & Neonatal Nursing. 2018; 47(4): 529–534.).

Methods:

We developed and pilot tested our eConsent framework to provide a personalized consent experience whereby users are guided through a consent document that utilizes avatars, contextual glossary information supplements, and videos, to facilitate communication of information.

Results:

The eConsent framework includes a portfolio of eight features, reviewed by community stakeholders, and tested at two academic medical centers.

Conclusions:

Early adoption and utilization of this eConsent framework have demonstrated acceptability. Next steps will emphasize testing efficacy of features to improve participant engagement with the consent process.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Association for Clinical and Translational Science 2020
Figure 0

Fig. 1. The REDCap-based model of eConsent allows for the incorporation of avatars, virtual assistants that can be self-selected by participants. Additional features include the use of “hover and click” in-line descriptive popups that allow participants the option to obtain more information (e.g., pronunciation, images, and definitions) about key words in the consent.

Figure 1

Table 1. STRIDE community engagement studios – key recommendations

Figure 2

Table 2. Common research procedures and informed consent elements in the eConsent video library

Figure 3

Fig. 2. Workflow for eConsent development, IRB approval, and document management.