Educational value of mixed reality combined with a three-dimensional printed model of aortic disease for vascular surgery in the standardized residency training of surgical residents in China: a case control study.


Journal

BMC medical education
ISSN: 1472-6920
Titre abrégé: BMC Med Educ
Pays: England
ID NLM: 101088679

Informations de publication

Date de publication:
27 Oct 2023
Historique:
received: 21 09 2022
accepted: 24 08 2023
medline: 30 10 2023
pubmed: 28 10 2023
entrez: 27 10 2023
Statut: epublish

Résumé

The simulated three-dimensional (3D) printed anatomical model of the aorta, which has become the norm in medical education, has poor authenticity, tactility, feasibility, and interactivity. Therefore, this study explored the educational value and effect of mixed reality (MR) combined with a 3D printed model of aortic disease in training surgical residents. Fifty-one resident physicians who rotated in vascular surgery were selected and divided into traditional (27) and experimental (24) teaching groups using the random number table method. After undergoing the experimental and traditional training routines on aortic disease, both the groups took a theoretical test on aortic disease and an assessment of the simulation based on the Michigan Standard Simulation Experience Scale (MiSSES) template. Their scores and assessment results were compared. The study was conducted at the Department of Vascular Surgery of Peking University People's Hospital, Beijing, China. In the theoretical test on aortic disease, the experimental teaching group obtained higher mean total scores (79.0 ± 9.1 vs. 72.6 ± 7.5, P = 0.013) and higher scores in anatomy/ pathophysiology (30.8 ± 5.4 vs. 24.8 ± 5.8; P < 0.001) than the traditional teaching group. The differences in their scores in the differential diagnosis (25.8 ± 3.0 vs. 23.3 ± 4.9; P = 0.078) and treatment (22.5 ± 11.8 vs. 24.5 ± 8.2; P = 0.603) sessions were insignificant. The MR-assisted teaching stratified the vascular residents through the MiSSES survey. Overall, 95.8% residents (23/24) strongly or somewhat agreed that the MR was adequately realistic and the curriculum helped improve the ability to understanding aortic diseases. Further, 91.7% residents (22/24) strongly or somewhat agreed that the MR-assisted teaching was a good training tool for knowledge on aortic diseases. All residents responded with "Good" or "Outstanding" on the overall rating of the MR experience. MR combined with the 3D printed model helped residents understand and master aortic disease, particularly regarding anatomy and pathophysiology. Additionally, the realistic 3D printing and MR models improved the self-efficacy of residents in studying aortic diseases, thus greatly stimulating their enthusiasm and initiative to study.

Sections du résumé

BACKGROUND BACKGROUND
The simulated three-dimensional (3D) printed anatomical model of the aorta, which has become the norm in medical education, has poor authenticity, tactility, feasibility, and interactivity. Therefore, this study explored the educational value and effect of mixed reality (MR) combined with a 3D printed model of aortic disease in training surgical residents.
METHOD METHODS
Fifty-one resident physicians who rotated in vascular surgery were selected and divided into traditional (27) and experimental (24) teaching groups using the random number table method. After undergoing the experimental and traditional training routines on aortic disease, both the groups took a theoretical test on aortic disease and an assessment of the simulation based on the Michigan Standard Simulation Experience Scale (MiSSES) template. Their scores and assessment results were compared. The study was conducted at the Department of Vascular Surgery of Peking University People's Hospital, Beijing, China.
RESULTS RESULTS
In the theoretical test on aortic disease, the experimental teaching group obtained higher mean total scores (79.0 ± 9.1 vs. 72.6 ± 7.5, P = 0.013) and higher scores in anatomy/ pathophysiology (30.8 ± 5.4 vs. 24.8 ± 5.8; P < 0.001) than the traditional teaching group. The differences in their scores in the differential diagnosis (25.8 ± 3.0 vs. 23.3 ± 4.9; P = 0.078) and treatment (22.5 ± 11.8 vs. 24.5 ± 8.2; P = 0.603) sessions were insignificant. The MR-assisted teaching stratified the vascular residents through the MiSSES survey. Overall, 95.8% residents (23/24) strongly or somewhat agreed that the MR was adequately realistic and the curriculum helped improve the ability to understanding aortic diseases. Further, 91.7% residents (22/24) strongly or somewhat agreed that the MR-assisted teaching was a good training tool for knowledge on aortic diseases. All residents responded with "Good" or "Outstanding" on the overall rating of the MR experience.
CONCLUSIONS CONCLUSIONS
MR combined with the 3D printed model helped residents understand and master aortic disease, particularly regarding anatomy and pathophysiology. Additionally, the realistic 3D printing and MR models improved the self-efficacy of residents in studying aortic diseases, thus greatly stimulating their enthusiasm and initiative to study.

Identifiants

pubmed: 37891526
doi: 10.1186/s12909-023-04610-9
pii: 10.1186/s12909-023-04610-9
pmc: PMC10612237
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

812

Subventions

Organisme : Beijing Natural Science Foundation
ID : 7224347
Organisme : Beijing Natural Science Foundation
ID : 7202214
Organisme : Peking University Health Science Center Medical Education Research Funding Project
ID : 2020YB02
Organisme : National Natural Science Foundation of China
ID : 81970409

Informations de copyright

© 2023. The Author(s).

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Auteurs

Weihao Li (W)

Department of Vascular Surgery, Peking University People's Hospital, Beijing, 100044, PR China.

Yuanfeng Liu (Y)

Department of Vascular and Endovascular Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, PR China.

Yonghui Wang (Y)

Department of Critical Care Medicine, Peking University People's Hospital, Beijing, 100044, PR China.

Xuemin Zhang (X)

Department of Vascular Surgery, Peking University People's Hospital, Beijing, 100044, PR China.

Kun Liu (K)

Department of Vascular Surgery, Peking University People's Hospital, Beijing, 100044, PR China.

Yang Jiao (Y)

Beijing Renxin Medical Technology Co., Ltd, Beijing, 100041, PR China.

Xiaoming Zhang (X)

Department of Vascular Surgery, Peking University People's Hospital, Beijing, 100044, PR China.

Jie Chen (J)

Department of Medical Quality Management, Peking University People's Hospital, Beijing, 100044, China. 53619253@qq.com.

Tao Zhang (T)

Department of Vascular Surgery, Peking University People's Hospital, Beijing, 100044, PR China. taozhang@bjmu.edu.cn.

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