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Effectiveness of Virtual Reality Simulation for Tracheostomy Education Among Healthcare Professionals

Abstract:
ObjectiveThe objective of this study is to evaluate the effectiveness of virtual reality (VR) simulation in tracheostomy teaching for healthcare professionals and its impact on short- and medium-term knowledge retention.MethodA prospective educational study was conducted among 26 healthcare professionals (17 VR; 9 non-VR). Both groups received standard face-to-face tracheostomy teaching, while the VR group additionally completed a 40-minute hybrid simulation using Goggleminds™ software based on the National Tracheostomy Safety Project algorithm. Knowledge was assessed using an eight-item multiple-choice questionnaire immediately after training (Day 0) and after 30 days (Day 30). Data were analysed using independent-samples t-tests and Mann-Whitney U tests to confirm robustness.ResultsParticipants in the VR group achieved significantly higher mean scores immediately after training (7.24 ± 0.75) compared with the non-VR group (6.33 ± 0.87; p = 0.01). At 30 days, the VR group demonstrated superior knowledge retention (6.88 ± 0.93) compared with the non-VR group (4.67 ± 1.00; p < 0.001). These findings indicate that VR-based tracheostomy simulation enhances both learning and retention of knowledge compared with conventional teaching.ConclusionVR-based tracheostomy simulation significantly improved knowledge acquisition and 30-day retention among healthcare professionals. Integrating VR into tracheostomy education may help to standardise training, improve confidence, and enhance patient safety in emergency airway management.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.7759/cureus.97083

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Institution:
University of Oxford
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Institution:
University of Oxford
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Author
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Institution:
University of Oxford
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Author


Publisher:
Springer
Journal:
Cureus: Journal of Medical Science More from this journal
Volume:
17
Issue:
11
Pages:
e97083
Publication date:
2025-11-17
Acceptance date:
2025-11-17
DOI:
EISSN:
2168-8184
ISSN:
2168-8184
Pmid:
41426904


Language:
English
Keywords:
UUID:
uuid_a07a9ed2-01d9-4c04-8a63-ce0aee1f7418
Source identifiers:
3611445
Deposit date:
2025-12-30
ARK identifier:
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