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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.
  • Carter-Edwards L; Bernard J. Tyson School of Medicine, Kaiser Permanente, Pasadena, CA, USA.
  • Leverty R; Duke Clinical Research Institute, Duke University, Durham, NC, USA.
  • Bilheimer A; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Bailey L; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Adeshina B; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Shrestha P; Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.
  • Yu Z; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Dave G; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Cohen-Wolkowiez M; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Kibbe W; Duke Clinical Research Institute, Duke University, Durham, NC, USA.
  • Corbie G; Duke Clinical Research Institute, Duke University, Durham, NC, USA.
J Clin Transl Sci ; 7(1): e98, 2023.
Article in English | MEDLINE | ID: covidwho-2253887
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: J Clin Transl Sci Year: 2023 Document Type: Article Affiliation country: Cts.2023.37

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: J Clin Transl Sci Year: 2023 Document Type: Article Affiliation country: Cts.2023.37