2016
DOI: 10.1097/phh.0000000000000230
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Bridging Research, Practice, and Policy

Abstract: Innovative models to facilitate more rapid uptake of research findings into practice are urgently needed. Community members who engage in research can accelerate this process by acting as adoption agents. We implemented an Evidence Academy conference model bringing together researchers, health professionals, advocates, and policy makers across North Carolina to discuss high-impact, life-saving study results. The overall goal is to develop dissemination and implementation strategies for translating evidence int… Show more

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Cited by 10 publications
(10 citation statements)
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“…Rooted in the principles of community engagement [14], we leveraged collaborative approaches to bring together community and academic stakeholders to collectively learn, discuss, and generate recommendations for addressing SARS-CoV-2 testing and testing technologies in populations of greatest impact. Unlike the original, in-person regional EA conference [27,28], we fostered more in-depth discussion of recommended actions during the event, and more rapidly generated and disseminated products (e.g., toolkits and community webinars) for advancing the engaged science and practice on COVID-19 testing and testing technologies. Specifically, each EA built on the prior EA as the RADx-UP community learned more about the science of the pandemic.…”
Section: Discussionmentioning
confidence: 99%
“…Rooted in the principles of community engagement [14], we leveraged collaborative approaches to bring together community and academic stakeholders to collectively learn, discuss, and generate recommendations for addressing SARS-CoV-2 testing and testing technologies in populations of greatest impact. Unlike the original, in-person regional EA conference [27,28], we fostered more in-depth discussion of recommended actions during the event, and more rapidly generated and disseminated products (e.g., toolkits and community webinars) for advancing the engaged science and practice on COVID-19 testing and testing technologies. Specifically, each EA built on the prior EA as the RADx-UP community learned more about the science of the pandemic.…”
Section: Discussionmentioning
confidence: 99%
“…The Evidence Academy Conference Model was developed in 2010 to bring together researchers, health professionals, community members, and policy makers to share the latest EBIs and plan for implementation at the local level. Dr. Cathy Melvin, Principal Investigator of the UNC-CPCRN, envisioned EAs as “a co-learning experience for a relatively small, well-defined network of individuals who represent different sectors but share a collective interest in a specific health priority” [ 32 ].…”
Section: Cpcrn Capacity-building Activitiesmentioning
confidence: 99%
“…Outside of these common elements, EA planners have made adaptations to the model to fit specific topics, community partners, audiences, and funding opportunities. Early EAs in North Carolina were held in rotating locations across the state and offered CMEs/CEUs to encourage professional organizations to send their employees [ 32 ]. The Hypertension EA in North Carolina was the first to be funded by an external grant, which provided resources for implementation activities through a year-long Action Learning Cohort [ 33 ].…”
Section: Cpcrn Capacity-building Activitiesmentioning
confidence: 99%
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“…While we were successful in the dissemination of key information, given the fast-paced nature of discovery, communicating information about precision medicine can be especially challenging. Initially, our approach focused on using an evidence academy model as the primary method for disseminating information because it emphasizes integrating research, practice, and policy ( Rohweder et al, 2016 ). Alternative models for dissemination and implementation may have been better suited to promote the communication of evidence-based practices for precision medicine to potential users or specific target audiences.…”
Section: Practical Lessons Learnedmentioning
confidence: 99%