Skip to main content
Journal cover image

Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic.

Publication ,  Journal Article
Carter-Edwards, L; Leverty, R; Bilheimer, A; Bailey, L; Adeshina, B; Shrestha, P; Yu, Z; Dave, G; Cohen-Wolkowiez, M; Kibbe, W; Corbie, G
Published in: J Clin Transl Sci
2023

The COVID-19 pandemic raised the importance of adaptive capacity and preparedness when engaging historically marginalized populations in research and practice. The Rapid Acceleration of Diagnostics in Underserved Populations' COVID-19 Equity Evidence Academy Series (RADx-UP EA) is a virtual, national, interactive conference model designed to support and engage community-academic partnerships in a collaborative effort to improve practices that overcome disparities in SARS-CoV-2 testing and testing technologies. The RADx-UP EA promotes information sharing, critical reflection and discussion, and creation of translatable strategies for health equity. Staff and faculty from the RADx-UP Coordination and Data Collection Center developed three EA events with diverse geographic, racial, and ethnic representation of attendees from RADx-UP community-academic project teams: February 2021 (n = 319); November 2021 (n = 242); and September 2022 (n = 254). Each EA event included a data profile; 2-day, virtual event; event summary report; community dissemination product; and an evaluation strategy. Operational and translational delivery processes were iteratively adapted for each EA across one or more of five adaptive capacity domains: assets, knowledge and learning, social organization, flexibility, and innovation. The RADx-UP EA model can be generalized beyond RADx-UP and tailored by community and academic input to respond to local or national health emergencies.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

J Clin Transl Sci

DOI

EISSN

2059-8661

Publication Date

2023

Volume

7

Issue

1

Start / End Page

e98

Location

England
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Carter-Edwards, L., Leverty, R., Bilheimer, A., Bailey, L., Adeshina, B., Shrestha, P., … Corbie, G. (2023). Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic. J Clin Transl Sci, 7(1), e98. https://doi.org/10.1017/cts.2023.37
Carter-Edwards, Lori, Renee Leverty, Alicia Bilheimer, Lindsay Bailey, Bukola Adeshina, Prabisha Shrestha, Zhitong Yu, et al. “Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic.J Clin Transl Sci 7, no. 1 (2023): e98. https://doi.org/10.1017/cts.2023.37.
Carter-Edwards L, Leverty R, Bilheimer A, Bailey L, Adeshina B, Shrestha P, et al. Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic. J Clin Transl Sci. 2023;7(1):e98.
Carter-Edwards, Lori, et al. “Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic.J Clin Transl Sci, vol. 7, no. 1, 2023, p. e98. Pubmed, doi:10.1017/cts.2023.37.
Carter-Edwards L, Leverty R, Bilheimer A, Bailey L, Adeshina B, Shrestha P, Yu Z, Dave G, Cohen-Wolkowiez M, Kibbe W, Corbie G. Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic. J Clin Transl Sci. 2023;7(1):e98.
Journal cover image

Published In

J Clin Transl Sci

DOI

EISSN

2059-8661

Publication Date

2023

Volume

7

Issue

1

Start / End Page

e98

Location

England