Evaluation of a REDCap-based Workflow for Supporting Federal Guidance for Electronic Informed Consent.


Journal

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
ISSN: 2153-4063
Titre abrégé: AMIA Jt Summits Transl Sci Proc
Pays: United States
ID NLM: 101539486

Informations de publication

Date de publication:
2019
Historique:
entrez: 2 7 2019
pubmed: 2 7 2019
medline: 2 7 2019
Statut: epublish

Résumé

Adoption of electronic informed consent (eConsent) for research remains low despite evidence of improved patient comprehension, usability, and workflow processes compared to paper. At our institution, we implemented an eConsent workflow using REDCap, a widely used electronic data capture system. The goal of this study was to evaluate the extent to which the REDCap eConsent solution adhered to federal guidance for eConsent. Of 29 requirements derived from sixteen recommendations from the United States Office for Human Research Protections (OHRP) and Food and Drug Administration (FDA), the REDCap eConsent solution supported 24 (86%). To the best of our knowledge, this is among the first studies to evaluate an eConsent approach's support for federal guidance. Findings suggest use of REDCap may help other institutions overcome barriers to eConsent adoption, and that OHRP and FDA expand guidance to recommend eConsent solutions integrate with enterprise clinical and research information systems.

Identifiants

pubmed: 31258968
pmc: PMC6568140

Types de publication

Journal Article

Langues

eng

Pagination

163-172

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR000457
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002384
Pays : United States

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Auteurs

Cindy Chen (C)

Information Technologies & Services Department, Weill Cornell Medicine, New York, NY.

Scott P Turner (SP)

Information Technologies & Services Department, Weill Cornell Medicine, New York, NY.

Evan T Sholle (ET)

Information Technologies & Services Department, Weill Cornell Medicine, New York, NY.

Scott W Brown (SW)

Information Technologies & Services Department, Weill Cornell Medicine, New York, NY.

Vanessa L I Blau (VLI)

Information Technologies & Services Department, Weill Cornell Medicine, New York, NY.

Julianna P Brouwer (JP)

Department of Medicine, Weill Cornell Medicine, New York, NY.

Alicia N Lewis (AN)

Department of Medicine, Weill Cornell Medicine, New York, NY.

Curtis L Cole (CL)

Information Technologies & Services Department, Weill Cornell Medicine, New York, NY.
Department of Medicine, Weill Cornell Medicine, New York, NY.
Department of Healthcare Policy & Research, Weill Cornell Medicine, New York, NY.

David M Nanus (DM)

Department of Medicine, Weill Cornell Medicine, New York, NY.

Manish A Shah (MA)

Department of Medicine, Weill Cornell Medicine, New York, NY.

John P Leonard (JP)

Department of Medicine, Weill Cornell Medicine, New York, NY.

Thomas R Campion (TR)

Information Technologies & Services Department, Weill Cornell Medicine, New York, NY.
Department of Healthcare Policy & Research, Weill Cornell Medicine, New York, NY.
Department of Pediatrics, Weill Cornell Medicine, New York, NY.

Classifications MeSH