ArticleInternational journal of environmental research and public health2023
Community Research Fellows Training Program: Evaluation of a COVID-19-Precipitated Virtual Adaptation.
Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed, 2 citations in OpenAlex.
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7 authors at 1 institution in 1 country.
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Abstract
Community engagement is important for promoting health equity. However, effective community engagement requires trust, collaboration, and the opportunity for all stakeholders to share in decision-making. Community-based training in public health research can build trust and increase community comfort with shared decision-making in academic and community partnerships. The Community Research Fellows Training (CRFT) Program is a community-based training program that promotes the role of underserved populations in research by enhancing participant knowledge and understanding of public health research and other relevant topics in health. This paper describes the process of modifying the original 15-week in-person training program to a 12-week online, virtual format to assure program continuation. In addition, we provide program evaluation data of the virtual training. Average post-test scores were higher than pre-test scores for every session, establishing the feasibility of virtual course delivery. While the knowledge gains observed were not as strong as those observed for the in-person training program, findings suggest the appropriateness of continuing to adapt CRFT for virtual formats.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.