ReviewMedical science educator2022
Using Technology Adoption Theories to Maximize the Uptake of E-learning in Medical Education.
Review in Medical science educator, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Technology Acceptance Model in Medical Education: Systematic Review.JMIR medical education · 2025Pooled it
- Exploring the Role of Immersive Virtual Reality Simulation in Health Professions Education: Thematic Analysis.JMIR medical education · 2025Article
- Emotional attachment and resistance to change in the use of technology: A study among Chinese university music teachers.PloS one · 2025Article
- Metaverse-based simulation: a scoping review of charting medical education over the last two decades in the lens of the 'marvelous medical education machine'.Annals of medicine · 2024Article
- Pediatric basic course goes virtual: transition from face to face to hybrid learning in pediatric critical care.Italian journal of pediatrics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: While the use of e-learning tools in medical education is guided by robust literature on their design and evaluation, there is sparse literature on strategies that maximize their adoption among trainees. Methods: In this scoping review, we searched Web of Science for studies on technology adoption theories as applied to education, using a final censoring date of August 1, 2021. Results: Based on our findings, we identified three representative theories: (1) technology acceptance model, (2) technology adoption life cycle, and (3) domestication theory. Discussion: We describe these theories in detail, examine their prior applications, and propose specific uses within medical e-learning.
Indexed as
Identifiers
What OpenQuestion holds
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.