ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2026
Network-Based Asynchronous Research Training in Breast Imaging: A Multinational Pre-Post Evaluation for Cancer Education.
Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2026. 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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7 authors.
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Abstract
Strengthening research competencies in breast cancer imaging is a priority in Latin America and the Caribbean (LAC), where disparities in access and diagnostic quality persist. We evaluated an accredited, fully asynchronous course delivered through a multinational cancer-focused network to build practical research and scientific communication skills. We conducted a single-group before–after (quasi-experimental) evaluation using routinely collected program data from a free, institutionally accredited course (Latin American Association of Medical Physics, ALFIM). Outcomes were reach, short-term learning (matched pre/post knowledge scores), and participant-perceived quality. Paired changes were estimated with mean differences and 95% confidence intervals; effect size was summarized with Cohen’s dz. In total, 249 participants from 20 countries enrolled; 208 completed the pre-course assessment, 132 completed the post-course assessment, and 113 had matched records for paired analyses. Mean knowledge scores increased from 57.9% (SD 9.8) to 95.0% (SD 5.9), a mean gain of 37.1% points (95% CI 35.1–39.1; p < 0.001; dz = 3.40). Post-course reaction ratings were high (mean item score 4.62/5 among 110 respondents) with strong internal consistency (Cronbach’s alpha = 0.89). Open-ended feedback emphasized relevance to professional practice and requested additional guided examples and optional synchronous support. A network-based, fully asynchronous model achieved large short-term learning gains and high acceptability in a heterogeneous LAC audience. Future cycles should address attrition and evaluate longer-term transfer to research engagement and practice improvement.
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