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Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis
BACKGROUND: Augmented reality (AR) is an interactive technology that uses persuasive digital data and real-world surroundings to expand the user's reality, wherein objects are produced by various computer applications. It constitutes a novel advancement in medical care, education, and training....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297143/ https://www.ncbi.nlm.nih.gov/pubmed/35787488 http://dx.doi.org/10.2196/32715 |
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author | Baashar, Yahia Alkawsi, Gamal Ahmad, Wan Nooraishya Wan Alhussian, Hitham Alwadain, Ayed Capretz, Luiz Fernando Babiker, Areej Alghail, Adnan |
author_facet | Baashar, Yahia Alkawsi, Gamal Ahmad, Wan Nooraishya Wan Alhussian, Hitham Alwadain, Ayed Capretz, Luiz Fernando Babiker, Areej Alghail, Adnan |
author_sort | Baashar, Yahia |
collection | PubMed |
description | BACKGROUND: Augmented reality (AR) is an interactive technology that uses persuasive digital data and real-world surroundings to expand the user's reality, wherein objects are produced by various computer applications. It constitutes a novel advancement in medical care, education, and training. OBJECTIVE: The aim of this work was to assess how effective AR is in training medical students when compared to other educational methods in terms of skills, knowledge, confidence, performance time, and satisfaction. METHODS: We performed a meta-analysis on the effectiveness of AR in medical training that was constructed by using the Cochrane methodology. A web-based literature search was performed by using the Cochrane Library, Web of Science, PubMed, and Embase databases to find studies that recorded the effect of AR in medical training up to April 2021. The quality of the selected studies was assessed by following the Cochrane criteria for risk of bias evaluations. RESULTS: In total, 13 studies with a total of 654 participants were included in the meta-analysis. The findings showed that using AR in training can improve participants' performance time (I(2)=99.9%; P<.001), confidence (I(2)=97.7%; P=.02), and satisfaction (I(2)=99.8%; P=.006) more than what occurs under control conditions. Further, AR did not have any effect on the participants’ knowledge (I(2)=99.4%; P=.90) and skills (I(2)=97.5%; P=.10). The meta-regression plot shows that there has been an increase in the number of articles discussing AR over the years and that there is no publication bias in the studies used for the meta-analysis. CONCLUSIONS: The findings of this work suggest that AR can effectively improve performance time, satisfaction, and confidence in medical training but is not very effective in areas such as knowledge and skill. Therefore, more AR technologies should be implemented in the field of medical training and education. However, to confirm these findings, more meticulous research with more participants is needed. |
format | Online Article Text |
id | pubmed-9297143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-92971432022-07-21 Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis Baashar, Yahia Alkawsi, Gamal Ahmad, Wan Nooraishya Wan Alhussian, Hitham Alwadain, Ayed Capretz, Luiz Fernando Babiker, Areej Alghail, Adnan JMIR Serious Games Original Paper BACKGROUND: Augmented reality (AR) is an interactive technology that uses persuasive digital data and real-world surroundings to expand the user's reality, wherein objects are produced by various computer applications. It constitutes a novel advancement in medical care, education, and training. OBJECTIVE: The aim of this work was to assess how effective AR is in training medical students when compared to other educational methods in terms of skills, knowledge, confidence, performance time, and satisfaction. METHODS: We performed a meta-analysis on the effectiveness of AR in medical training that was constructed by using the Cochrane methodology. A web-based literature search was performed by using the Cochrane Library, Web of Science, PubMed, and Embase databases to find studies that recorded the effect of AR in medical training up to April 2021. The quality of the selected studies was assessed by following the Cochrane criteria for risk of bias evaluations. RESULTS: In total, 13 studies with a total of 654 participants were included in the meta-analysis. The findings showed that using AR in training can improve participants' performance time (I(2)=99.9%; P<.001), confidence (I(2)=97.7%; P=.02), and satisfaction (I(2)=99.8%; P=.006) more than what occurs under control conditions. Further, AR did not have any effect on the participants’ knowledge (I(2)=99.4%; P=.90) and skills (I(2)=97.5%; P=.10). The meta-regression plot shows that there has been an increase in the number of articles discussing AR over the years and that there is no publication bias in the studies used for the meta-analysis. CONCLUSIONS: The findings of this work suggest that AR can effectively improve performance time, satisfaction, and confidence in medical training but is not very effective in areas such as knowledge and skill. Therefore, more AR technologies should be implemented in the field of medical training and education. However, to confirm these findings, more meticulous research with more participants is needed. JMIR Publications 2022-07-05 /pmc/articles/PMC9297143/ /pubmed/35787488 http://dx.doi.org/10.2196/32715 Text en ©Yahia Baashar, Gamal Alkawsi, Wan Nooraishya Wan Ahmad, Hitham Alhussian, Ayed Alwadain, Luiz Fernando Capretz, Areej Babiker, Adnan Alghail. Originally published in JMIR Serious Games (https://games.jmir.org), 05.07.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Serious Games, is properly cited. The complete bibliographic information, a link to the original publication on https://games.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Baashar, Yahia Alkawsi, Gamal Ahmad, Wan Nooraishya Wan Alhussian, Hitham Alwadain, Ayed Capretz, Luiz Fernando Babiker, Areej Alghail, Adnan Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis |
title | Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis |
title_full | Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis |
title_fullStr | Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis |
title_full_unstemmed | Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis |
title_short | Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis |
title_sort | effectiveness of using augmented reality for training in the medical professions: meta-analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297143/ https://www.ncbi.nlm.nih.gov/pubmed/35787488 http://dx.doi.org/10.2196/32715 |
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