ArticleJournal of emergencies, trauma, and shock
The 2019 WACEM Expert Document on Hybrid Simulation for Transforming Health-care Simulation Through "Mixing and Matching".
Article in Journal of emergencies, trauma, and shock. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Reduction of the Cycle Time in the Biopsies Diagnosis Through a Simulation Based on the Box Müller Algorithm.Frontiers in public health · 2022Article
- Simulation Centers and Simulation-Based Education during the Time of COVID 19: A Multi-Center Best Practice Position Paper by the World Academic Council of Emergency Medicine.Journal of emergencies, trauma, and shockArticle
- The Art of Sim-Making: What to Learn from Film-Making.Journal of emergencies, trauma, and shockArticle
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
With the multitude of options available under the umbrella of "simulation" today, we have a larger repertoire of choices in our educational journey and outreach. These provide a platform for us to really transform health-care simulation from the traditional, unimodality simulation, to more complex, high fidelity, integrated, and engaging multimodality techniques. The main thrust must be to enhance clinical decision-making in patient care, to solve real-world clinical problems. Hybrid simulation (HS) utilizes at least two different simulation modalities, whereby combining them will enable one type of simulation modality to enhance the other, with the proper alignment, coordination, and interfacing between the modalities. Although the term is often used interchangeably, HS is slightly different from multimodality simulation. The latter refers to the use of multiple types of simulation in the same scenario or place. The main objectives for using HS have to be as follows: (1) for the acquisition of knowledge and skills by the best combination of methodologies, (2) for clinical performance improvement at all levels of care through the creation of as close as possible to real-world situation and problems, (3) to be able to sustain motivation and passion of our spectrum learners in their educational continuum, and (4) to provide a rich, exciting, and stimulating learning platform and environment, which can trigger deep learning and understanding. This article will also share some examples and cases utilizing HS in transforming health-care simulation.
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.