ArticleJournal of medical education and curricular development
A Quantitative Approach to Data Collection and Analysis of ECHO Programs Focused on Cancer Care.
Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
4 authors.
Funding
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Abstract
Introduction: The American Cancer Society (ACS) estimates over 2 million new cancer cases will be diagnosed in the United States in 2024. We utilize the Extension for Community Healthcare Outcomes (ECHO) Model Methods: This quantitative investigation evaluates the effectiveness of four ACS ECHO programs focused on cancer care across 2023 and 2024 by examining participants' engagement, likelihood to use what was presented, as well as changes in knowledge and confidence. Results: The ACS ECHO programs engaged 431 unique participants, averaging 108 participants per program. Of those participants, 59% were planning to use the information presented within a month. On average, participants' knowledge and confidence had mean increases on a 5-point scale of +0.84 and +0.77, respectively, reflecting participants' readiness and ability to apply what they learned into practice. Conclusion: These findings can inform insights for promoting ECHO program sustainability and directions for future research, including integrating qualitative insights to deepen our contextual understanding of ACS ECHO program effectiveness. While previous evaluations of ECHO programs have solely relied on qualitative approaches, the quantitative methods used in this study can offer an objective approach to evaluating model implementation and program impact.
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