Engaging community in the translational process: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs.

Engaging community in the translational process: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs.
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吸引社区参与转化过程:适应能力和临床和转化科学奖计划中心的环境扫描。

DOI:
10.1017/cts.2022.419
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发表时间:
2023
影响因子:
2.6
通讯作者:
Hunt, Joe
Hunt, Joe
中科院分区:
其他
文献类型:
--
作者:
Volkov, Boris B. B.;Hoyo, Veronica;Hunt, Joe

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本文是临床和转化科学奖(CTSA)中心适应能力和准备的环境扫描的一部分,阐明了与CTSA中心努力吸引社区合作伙伴减少病毒传播有关的挑战,实践和经验教训,解决COVID-19检测的障碍,确定改善健康结果的治疗方法,并促进社区参与研究。CTSA的研究人员、工作人员和社区合作伙伴合作制定了基于证据的、包容的、可获得的和文化上适当的战略和资源,帮助社区成员在大流行期间保持健康、知情和联系。CTSA机构利用各种机制来促进学术专业人员、患者、社区合作伙伴和其他利益相关者之间的知识、资源、工具和经验的共同学习和共享。前瞻性和适应性的决策结构是那些优先考虑持续的关系,相互信任和承诺,持续的沟通,积极主动地识别社区的关注和需求,共同的目标和决策,以及社区成员的充分赞赏和他们对转化研究的贡献。有一个强烈的需要进一步的社区参与的研究和劳动力培训,如何建立我们的集体和个人的适应能力,以维持和改善的过程和参与的结果与社区和由社区在各个方面的转化科学。
This paper is part of the Environmental Scan of Adaptive Capacity and Preparedness of Clinical and Translational Science Award (CTSA) hubs, illuminating challenges, practices, and lessons learned related to CTSA hubs’ efforts of engaging community partners to reduce the spread of the virus, address barriers to COVID-19 testing, identify treatments to improve health outcomes, and advance community participation in research. CTSA researchers, staff, and community partners collaborated to develop evidence-based, inclusive, accessible, and culturally appropriate strategies and resources helping community members stay healthy, informed, and connected during the pandemic. CTSA institutions have used various mechanisms to advance co-learning and co-sharing of knowledge, resources, tools, and experiences between academic professionals, patients, community partners, and other stakeholders. Forward-looking and adaptive decision-making structures are those that prioritize sustained relationships, mutual trust and commitment, ongoing communication, proactive identification of community concerns and needs, shared goals and decision making, as well as ample appreciation of community members and their contributions to translational research. There is a strong need for further community-engaged research and workforce training on how to build our collective and individual adaptive capacity to sustain and improve processes and outcomes of engagement with and by communities—in all aspects of translational science.
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