ArticlePerspectives on medical education2023
Exploring Medical Students' Learning Around Uncertainty Management Using a Digital Educational Escape Room: A Design-based Research Approach.
Article in Perspectives on medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
- The SEARCH for Evidence: Designing a Game-Based Experiential Learning Intervention for Evidence-Based Medicine.Medical science educator · 2026Article
- Can you escape rehab? Theoretical and design foundations of an online escape room for speech-language pathology students.The South African journal of physiotherapy · 2026Article
- Medical decision-making under risk and uncertainty: Anesthetists' decision to proceed with surgery.Risk analysis : an official publication of the Society for Risk Analysis · 2025Article
- Fostering Competencies: A Scoping Review of Escape Rooms in Medical Education.Medical science educator · 2025Review
- Digital Educational Escape Rooms for Providing Knowledge on Stress Management and Health Promotion for Students-A Rapid Review and Pilot Study.International journal of environmental research and public health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Medical professionals meet many transitions during their careers, and must learn to adjust rapidly to unfamiliar workplaces and teams. This study investigated the use of a digital educational escape room (DEER) in facilitating medical students' learning around managing uncertainty in transitioning from classroom to clinical placement. Methods: We used design-based research to explore the design, build, and test of a DEER, as well as gain insight into how these novel learning environments work, using Community of Inquiry (CoI) as a guiding conceptual framework. This study represented a mixed methods pilot test of a prototype DEER. Twenty-two medical students agreed to participate, and data were collected through qualitative (i.e., focus groups, game-play observations) and quantitative (i.e., questionnaires) methods. Results: Eighty-two per cent of participants agreed or strongly agreed that the DEER supported their learning around uncertainty. Participants offered diverse examples of how the game had facilitated new insights on, and approaches to, uncertainty. With respect to the learning environment, multiple indicators and examples of the three domains of CoI - cognitive, teaching and social presence - were observed. Discussion: Our findings suggested that DEERs offer a valuable online learning environment for students to engage with complex and emotion-provoking challenges, such as those experienced at transitions. The study also suggested that CoI can be applied to the design, implementation, and evaluation of DEER learning environments, and we have proposed a set of design principles that may offer guidance here.
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.