ArticleHealthcare (Basel, Switzerland)2020
Development of a Novel Interactive Multimedia E-Learning Model to Enhance Clinical Competency Training and Quality of Care among Medical Students.
Article in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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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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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Who cites it
3 citing papers in PubMed.
- The effect of an interactive game-based e-book with simulative clinical scenarios on the health literacy competency among medical students in Taiwan.BMC medical education · 2025Trial
- Effectiveness of multimedia-based teaching on the learning rate of anesthesia technologist students in the field of central venous pressure monitoring: A comparative study.Journal of education and health promotion · 2024Article
- Tips to optimize digital education in ophthalmology: Results from ESASO survey.European journal of ophthalmology · 2022Article
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Authors and funding
3 authors.
Funding
Abstract
Clinical competencies consisting of skills, knowledge, and communication techniques should be acquired by all medical graduates to optimize healthcare quality. However, transitioning from observation to hands-on learning in clinical competencies poses a challenge to medical students. The aim of this study is to evaluate the impact of a novel interactive multimedia eBook curriculum in clinical competency training. Ninety-six medical students were recruited. Students in the control group (
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Registered trials
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.