ArticleCureus2022
Donning and Doffing of Personal Protective Equipment: Perceived Effectiveness of Virtual Simulation Training to Decrease COVID-19 Transmission and Contraction.
Article in Cureus, 2022. 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.
- Impact of Non-Face-to-Face Teaching with Passive Training on Personal Protective Equipment Use in Health Science Students: A Randomized Controlled Trial.International journal of environmental research and public health · 2022Trial
- Artificial intelligence-assisted personal protective equipment donning and doffing training for health professions students and healthcare workers: a scoping review.BMC medical education · 2025Article
- Low Resource, High Impact: Just-In-Time Training Toolkit in Response to a Public Health Crisis.Clinical simulation in nursing · 2024Article
- Relationships between effective safety training, safety knowledge and personal protective equipment related behaviors among firefighters.Journal of safety research · 2024Article
- Organizational responses to the COVID-19 pandemic in Victoria, Australia: A qualitative study across four healthcare settings.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction The COVID-19 pandemic exposed gaps in the knowledge of correct donning and doffing of personal protective equipment (PPE) among healthcare workers, causing hospitals to ramp up training. However, social distancing measures forced most institutions and workplaces to shift to remote operations, allowing only essential personnel onsite. Virtual simulation is a growing trend in healthcare simulation education, even more so in this pandemic era. Yet, we have found no evidence of the perceived effectiveness of virtual simulation for training healthcare providers in the proper donning and doffing of PPE. This study aims to determine learner perceptions of the effectiveness of a virtual simulation PPE training module. Methods To address this gap, we used a virtual simulation training module in an online format to determine the perceived efficacy of this method of instruction with the contribution of a variety of healthcare providers and trainees, including physicians, surgeons, pharmacists, dentists, and nurses. Results We found a statistically significant difference in the confidence level of observing best practices of donning and doffing PPE before and after the training sessions. We also found that participants believe virtual simulation can be an effective educational tool for clinical skills. Conclusions This paper presents an international, guideline-based virtual simulation training module that can serve to educate, train, and assess healthcare workers in the proper sequence and technique of donning (putting on), doffing (removing), and disposing of PPE without contaminating themselves or others.
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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.