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

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, nationa...

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Autores principales: Carter-Edwards, Lori, Leverty, Renee, Bilheimer, Alicia, Bailey, Lindsay, Adeshina, Bukola, Shrestha, Prabisha, Yu, Zhitong, Dave, Gaurav, Cohen-Wolkowiez, Michael, Kibbe, Warren, Corbie, Giselle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225263/
https://www.ncbi.nlm.nih.gov/pubmed/37250998
http://dx.doi.org/10.1017/cts.2023.37
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author Carter-Edwards, Lori
Leverty, Renee
Bilheimer, Alicia
Bailey, Lindsay
Adeshina, Bukola
Shrestha, Prabisha
Yu, Zhitong
Dave, Gaurav
Cohen-Wolkowiez, Michael
Kibbe, Warren
Corbie, Giselle
author_facet Carter-Edwards, Lori
Leverty, Renee
Bilheimer, Alicia
Bailey, Lindsay
Adeshina, Bukola
Shrestha, Prabisha
Yu, Zhitong
Dave, Gaurav
Cohen-Wolkowiez, Michael
Kibbe, Warren
Corbie, Giselle
author_sort Carter-Edwards, Lori
collection PubMed
description 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.
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spelling pubmed-102252632023-05-29 Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic Carter-Edwards, Lori Leverty, Renee Bilheimer, Alicia Bailey, Lindsay Adeshina, Bukola Shrestha, Prabisha Yu, Zhitong Dave, Gaurav Cohen-Wolkowiez, Michael Kibbe, Warren Corbie, Giselle J Clin Transl Sci Special Communications 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. Cambridge University Press 2023-03-20 /pmc/articles/PMC10225263/ /pubmed/37250998 http://dx.doi.org/10.1017/cts.2023.37 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
spellingShingle Special Communications
Carter-Edwards, Lori
Leverty, Renee
Bilheimer, Alicia
Bailey, Lindsay
Adeshina, Bukola
Shrestha, Prabisha
Yu, Zhitong
Dave, Gaurav
Cohen-Wolkowiez, Michael
Kibbe, Warren
Corbie, Giselle
Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic
title Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic
title_full Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic
title_fullStr Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic
title_full_unstemmed Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic
title_short Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic
title_sort adapting the evidence academy model for virtual stakeholder engagement in a national setting during the covid-19 pandemic
topic Special Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225263/
https://www.ncbi.nlm.nih.gov/pubmed/37250998
http://dx.doi.org/10.1017/cts.2023.37
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