ArticleResuscitation plus2023
Augmented reality training in basic life support with the help of smart glasses. A pilot study.
Article in Resuscitation plus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Telemedicine in cardiac arrest protocols: Comparative impact of video and audio dispatcher assistance.World journal of critical care medicine · 2025Article
- Is it possible to conduct on-site emergency training with a remote expert on an oceanographic vessel? A just-in-place/time proof of concept using smart glasses.Resuscitation plus · 2025Article
- Development of an AI-powered AR glasses system for real-time first aid guidance in emergency situations.BioData mining · 2025Article
- Use of Smart Glasses (Assisted Reality) for Western Australian X-ray Operators' Continuing Professional Development: A Pilot Study.Healthcare (Basel, Switzerland) · 2024Article
- Augmented reality smart glasses: a new resuscitation training tool or a worthless gadget?Internal and emergency medicine · 2024Article
- Rethinking realities: A call for accurate terminology in eXtended Reality studies.Resuscitation plus · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Laypeople should be trained in basic life support and traditional and innovative methodologies may help to obtain this goal. However, there is a knowledge gap about the ideal basic life support training methods. Smart glasses could have a role facilitating laypeople learning of basic life support. Aim: To analyze the potential impact on basic life support learning of a very brief training supported by smart glasses video communication. Methods: Twelve laypeople were basic life support tele-trained by means of smart glasses by an instructor in this pilot study. During training (assisted trough smart glasses) and after the training (unassisted) participants' performance and quality of basic life support and automated external defibrillation procedure were assessed on a standardized simulated scenario. Results: After the training all participants were able to deliver good quality basic life support, with results comparable to those obtained when real time remotely guided by the instructor through the smart glasses. Mean chest compression rate was significantly higher when not guided (113 /min vs. 103 /min, Conclusions: A very brief remote training supported by instructor and smart glasses seems to be an effective educational method that could facilitate basic life support learning by laypeople. This technology could be considered in cases where instructors are not locally available or in general in remote areas, providing basic internet connection is available. Smart glasses could also be useful for laypeople rolling-refreshers.
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.