Literature DB >> 30656873

Virtual reality in cardiopulmonary resuscitation training: a randomized trial.

Cristina Cerezo Espinosa1, Francisca Segura Melgarejo2, Rafael Melendreras Ruiz3, Ángel Joaquín García-Collado3, Sergio Nieto Caballero4, Laura Juguera Rodríguez5, Sergio Pardo Ríos6, Sergio García Torrano6, Elena Linares Stutz7, Manuel Pardo Ríos8.   

Abstract

OBJECTIVES: To assess the efficacy of virtual reality (VR) in cardiopulmonary resuscitation (CPR) training.
MATERIAL AND METHODS: Experimental, analytic, cross-sectional study of a CPR training method using VR. Participants were randomly assigned to train in a control group or a VR group.
RESULTS: The mean (SD) scores on a scale of 10 after training were 9.28 (0.91) in the VR group and 7.78 (1.63) in the control group, for a mean difference of 1.49 (95% CI, 0.96-2.02; P<.001). The VR group achieved a mean of 97.5 (9.7) compressions/min, versus 80.9 (7.7) compressions/min in the control group, for a mean difference of 16.6 compressions/min (95% CI, 15.0-18.2; P=.003). The mean compression depth in the VR group was 34.0 (6.5) mm, versus 27.9 (4.9) mm in the control group, for a mean difference of 6.7 (95% CI, 5.7-7.8; P<.001).
CONCLUSION: Training with VR can improve CPR theoretical knowledge and practical skills.

Entities:  

Keywords:  Cardiopulmonary resuscitation; Formación; Gafas realidad virtual; Realidad virtual; Reanimación cardiopulmonar; Simulación; Training; Training simulations; Virtual reality; Virtual reality headsets

Mesh:

Year:  2019        PMID: 30656873

Source DB:  PubMed          Journal:  Emergencias        ISSN: 1137-6821            Impact factor:   3.881


  4 in total

1.  Virtual Reality Assisted Cardiac Catheterization.

Authors:  Patric Bettati; James D Dormer; Jeff Young; Maysam Shahedi; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15

2.  A New Immersive Virtual Reality Station for Cardiopulmonary Resuscitation Objective Structured Clinical Exam Evaluation.

Authors:  Manuel Rodríguez-Matesanz; Carmen Guzmán-García; Ignacio Oropesa; Javier Rubio-Bolivar; Manuel Quintana-Díaz; Patricia Sánchez-González
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

3.  Optimal Combination of Chest Compression Depth and Rate in Virtual Reality Resuscitation Training: A Post Hoc Analysis of the Randomized Lowlands Saves Lives Trial.

Authors:  Joris Nas; Jos Thannhauser; Robert-Jan M van Geuns; Niels van Royen; Judith L Bonnes; Marc A Brouwer
Journal:  J Am Heart Assoc       Date:  2021-01-14       Impact factor: 5.501

4.  Chest compressions quality during sudden cardiac arrest scenario performed in virtual reality: A crossover study in a training environment.

Authors:  Filip Jaskiewicz; Dawid Kowalewski; Katarzyna Starosta; Marcin Cierniak; Dariusz Timler
Journal:  Medicine (Baltimore)       Date:  2020-11-25       Impact factor: 1.889

  4 in total

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