ArticleClinical simulation in nursing2022
Comparison of Augmented Reality-assisted and Instructor-assisted Cardiopulmonary Resuscitation: A Simulated Randomized Controlled Pilot Trial.
Article in Clinical simulation in nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.
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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
10 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The effectiveness of augmented reality/mixed reality in medical education: a meta-analysis.BMC medical education · 2025Pooled it
- Effectiveness of virtual and augmented reality for cardiopulmonary resuscitation training: a systematic review and meta-analysis.BMC medical education · 2024Pooled it
- Augmented Reality (AR) for Surgical Robotic and Autonomous Systems: State of the Art, Challenges, and Solutions.Sensors (Basel, Switzerland) · 2023Pooled it
- Effectiveness of educational video on deaf people's knowledge and skills for cardiopulmonary resuscitation: a randomized controlled trial.Revista da Escola de Enfermagem da U S P · 2023Trial
- Collocated mixed reality for basic life support training in medical students: a randomised pilot feasibility trial.Resuscitation plus · 2026Article
- Effectiveness of extended reality technologies in cardiopulmonary resuscitation training: a bayesian network meta-analysis.BMC emergency medicine · 2025Article
- Extended reality technologies in adult basic life support education: A scoping review.Resuscitation plus · 2025Review
- Technological innovations in layperson CPR education - A scoping review.Resuscitation plus · 2025Review
- Applications of Augmented Reality for Prehospital Emergency Care: Systematic Review of Randomized Controlled Trials.JMIR XR and spatial computing · 2025Review
- Association between game metrics in a simulation game and nursing students' surgical nursing knowledge - a quasi-experimental study.BMC nursing · 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
Background: A trained lay rescuer is the most important determinant of survival from sudden cardiac arrest. Augmented Reality (AR) device may represent a powerful instrument for CPR assistance and self-training especially during the COVID-19 pandemic. Methods: A prospective, parallel, 1:1 pilot randomized clinical trial was designed. An AR CPR app was developed and 28 participants were randomly allocated into AR-assisted group and instructor-assisted group. Acceptability, usability, and mean per minute/per cycle chest compression depth, rate and accuracy were measured. Results: The mean scores for acceptability and usability were all rated good in each group. Comparing real-time AR-assisted CPR to instructor-assisted CPR, the mean difference of compression depth was 0.18 (95% CI: -0.18-0.53) cm and rate was -1.58 (95% CI: -6.11-2.95) min-1. Comparing AR self-training to instructor training, the AR group was not significantly different between two groups regarding both compression depth, rate and accuracy ( Conclusion: We found that the AR CPR app was an acceptable and usable tool both in real-time-assisted CPR and self-training CPR.
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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.