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

被引:0
|
作者
Carter-Edwards, Lori [1 ]
Leverty, Renee [2 ,5 ]
Bilheimer, Alicia [3 ]
Bailey, Lindsay [3 ]
Adeshina, Bukola [3 ,4 ]
Shrestha, Prabisha [3 ]
Yu, Zhitong [3 ]
Dave, Gaurav [3 ]
Cohen-Wolkowiez, Michael [2 ]
Kibbe, Warren [2 ]
Corbie, Giselle [3 ]
机构
[1] Kaiser Permanente, Bernard J Tyson Sch Med, Pasadena, CA USA
[2] Duke Univ, Duke Clin Res Inst, Durham, NC USA
[3] Univ North Carolina Chapel Hill, Chapel Hill, NC USA
[4] Marshall Univ, Joan C Edwards Sch Med, Huntington, WV USA
[5] Duke Univ, Duke Clin Res Inst, 2527 Wrightwood Ave, Durham, NC 27705 USA
基金
美国国家卫生研究院;
关键词
Community engagement; virtual conference; health equity; adaptive capacity; COVID-19; COMMUNITY ENGAGEMENT; CAPACITY;
D O I
10.1017/cts.2023.37
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
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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页数:10
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