Translating knowledge into action: Community-centered recommendations from the RADx-UP COVID-19 Equity Evidence Academy virtual conference series.

IF 2 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Journal of Clinical and Translational Science Pub Date : 2025-06-13 eCollection Date: 2025-01-01 DOI:10.1017/cts.2025.10075
Alicia Bilheimer, Blen Mengesha Biru, Enomen Idiagbonya, Cassidy Fox, Renee Leverty, Camille Brown-Lowery, Lori Carter-Edwards
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引用次数: 0

Abstract

The Rapid Acceleration of Diagnostics-Underserved Populations' COVID-19 Equity Evidence Academy (RADx-UP EA) was a series of virtual conferences hosted between 2021 and 2023 that assembled community members, researchers, and governmental leaders from across the US to discuss and devise ways to promote equity in COVID-19 testing and vaccination. Using community-engaged methodologies in its design and implementation, this series provided a framework and forum for community and academic partners to engage in collaborative idea generation and consensus building during a public health emergency. The ideas and strategies gained during the EAs were disseminated to inform future research and action related to COVID-19. This conference paper highlights the specific engagement approaches used and the themes and recommendations generated. This model and its findings have broad utility beyond RADx-UP and can be used by researchers and practitioners to inform and advance community-engaged research and practice in diverse public health settings.

Abstract Image

Abstract Image

将知识转化为行动:RADx-UP COVID-19股权证据学院系列虚拟会议提出的以社区为中心的建议。
快速加速诊断——服务不足人群的COVID-19公平证据学院(RADx-UP EA)是2021年至2023年期间举办的一系列虚拟会议,汇集了来自美国各地的社区成员、研究人员和政府领导人,讨论和制定促进COVID-19检测和疫苗接种公平的方法。该系列在设计和实施过程中采用社区参与的方法,为社区和学术伙伴提供了一个框架和论坛,以便在突发公共卫生事件期间参与协作产生想法和建立共识。会议期间获得的想法和战略得到了传播,为今后与COVID-19相关的研究和行动提供了信息。这份会议文件强调了所采用的具体参与方法以及所产生的主题和建议。该模型及其发现具有RADx-UP之外的广泛效用,可被研究人员和从业人员用于在各种公共卫生环境中为社区参与的研究和实践提供信息和推进。
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来源期刊
Journal of Clinical and Translational Science
Journal of Clinical and Translational Science MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
2.80
自引率
26.90%
发文量
437
审稿时长
18 weeks
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