Abstract

10500 Background: ACGME survey results consistently show that 40% of University of California, San Francisco (UCSF) internal medicine (IM) residents are dissatisfied with their oncology education—higher than the oncology national average and highest among UCSF IM subspecialties. A needs assessment revealed that UCSF residents desire online oncology resources for asynchronous learning. To address this need, we sought online oncology videos targeted to residents but found none. We thus used cognitive theory of multimedia learning principles to develop an oncology video curriculum and evaluated three feasibility components: demand (frequency of use), efficacy, and acceptability. Methods: We chose common cancers from the ABIM blueprint and filmed five 10-minute videos of UCSF oncologists discussing content they chose for residents. We created modules with pre/post tests derived from video content. After a pilot, we sent links to all IM residents on required oncology clinic rotations over four months (n = 25) and offered protected clinic time for optional completion. We compared pre/post test scores with a paired t test and surveyed residents. Results: Demand: 72% (18 of 25) completed ≥1 module; 32% completed all 5. Efficacy: The mean pre- vs. post-test score improved (50% vs. 87%, p = 0.002). Acceptability: 64% completed the survey. Of those who completed ≥1 module, 93% (13 of 14) felt strongly that the videos contributed to their knowledge. 93% recommended the videos to others. Residents praised the length, key points, and pre/post tests. Finding time for the modules was difficult; most did them at home. Suggestions included focusing on fundamentals and creating videos for all common cancers. Conclusions: We present demand, efficacy, and acceptability evidence supporting the feasibility of a resident oncology video curriculum. Formal protected time for module use is critical. We will focus on fundamentals for generalists as we make more videos. We will track ACGME survey results, examination scores, and clinical performance to study impact. We aim to publish the modules online for broader use and as a model solution to address similar needs across specialties and institutions, as complex resident schedules increasingly require asynchronous learning.

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