Pulse Brain · Growing Health Evidence Index
Peer-reviewed

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

Colleen Lawrence, Leah Dunkel, Mark A. McEver, Tiffany Israel, Robert J. Taylor, Germán Chiriboga, Karin Valentine Goins, Elizabeth J. Rahn, Amy S. Mudano, Erik D. Roberson, Carol Chambless, Virginia G. Wadley, Maria I. Danila, Melissa A. Fischer, Yvonne Joosten, Kenneth G. Saag, Jeroan J. Allison, Stephenie C. Lemon, Paul A. Harris

Journal of Clinical and Translational Science · 2020

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Summary

INTRODUCTION: (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.

Subject
Other / interdisciplinary
Source type
Peer-reviewed study
System type
Other
DOI
10.1017/cts.2020.30
Catalogue ID
BFmou2m1rn-b1gpb3
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