ArticleInternational journal of medical education2017
Quality indicators for learner-centered postgraduate medical e-learning.
Article in International journal of medical education, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Digital Learning to Improve Safe and Effective Prescribing: A Systematic Review.Clinical pharmacology and therapeutics · 2019Pooled it
- Evaluating an e-learning course's impact and challenges on genomic literacy among medical professionals.International journal of medical education · 2024Article
- The added value of a face-to-face pan-European course-what makes it worth it?Frontiers in medicine · 2024Article
- Fluid and electrolyte management: increasing the knowledge of House Officers using an interactive eLearning tool.Irish journal of medical science · 2023Article
- Learning Theory-Driven Tips for Designing Effective Learning Solutions for the Continuous Education of Community Pharmacists to Enhance Patient-Centered Care-A Qualitative Study.Healthcare (Basel, Switzerland) · 2022Article
- Development of an Instructional Design Evaluation Survey for Postgraduate Medical E-Learning: Content Validation Study.Journal of medical Internet research · 2019Article
- Influencing factors in the implementation of postgraduate medical e-learning: a thematic analysis.BMC medical education · 2019Article
- A 9-Step Theory- and Evidence-Based Postgraduate Medical Digital Education Development Model: Empirical Development and Validation.JMIR medical education · 2019Article
- How We Evaluate Postgraduate Medical E-Learning: Systematic Review.JMIR medical education · 2019Review
- Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study.JMIR medical education · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe objectives of this study were to identify the needs and expectations of learners and educational experts in postgraduate medical e-learning, and to contribute to the current literature.
methodsWe performed four focus-group discussions with e-learning end-users (learners) and didactic experts. The participants were postgraduate learners with varying levels of experience, educational experts from a Dutch e-learning task group, and commercial experts from a Dutch e-learning company. Verbatim transcribed interview recordings were analyzed using King's template analysis. The initial template was created with reference to recent literature on postgraduate medical e-learning quality indicators. The transcripts were coded, after which the emerging differences in template interpretation were discussed until a consensus was reached within the team.
resultsThe final template consisted of three domains of positive e-learning influencers (motivators, learning enhancers, and real-world translation) and three domains of negatively influential parameters (barriers, learning discouragers, and poor preparation). The interpretation of the final template showed three subjects which form the basis of e-learning, namely, Motivate, Learn and Apply.
conclusionsThis study forms a basis for learning in general and could be applied to many educational instruments. Individual characteristics should be adapted to the target audience. Three subjects form the basis of, and six themes cover all items needed for, good (enough) postgraduate e-learning. Further research should be carried out with learners and real-world e-learning to validate this template.
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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.