Open Access
Virtual reality simulation for high-risk neonatal emergency nursing training: a mixed-methods study on nurse competency and outcomes
Abeer Nuwayfi Alruwaili
1
,
Afrah Madyan Alshammari
2
,
Ali Alhaiti
3
,
Nadia Bassuoni Elsharkawy
2
,
Sayed Ibrahim Ali
4
,
Osama Mohamed Elsayed Ramadan
5
Publication type: Journal Article
Publication date: 2025-04-03
scimago Q1
wos Q1
SJR: 1.272
CiteScore: 4.5
Impact factor: 3.9
ISSN: 14726955
Abstract
Nurses in neonatal intensive care units face critical challenges in managing emergencies where timely, accurate interventions are essential for survival. Traditional nursing education often lacks the hands-on, immersive training required to build complex emergency skills, contributing to persistent neonatal mortality globally. Virtual reality (VR) simulation, grounded in Kolb’s Experiential Learning Theory, offers a promising solution by replicating realistic and repeatable clinical scenarios. While VR has shown potential in nursing education, its specific impact on high-risk neonatal emergencies remains underexplored. To evaluate the effectiveness of a VR simulation program in enhancing nurse competency and improving neonatal outcomes during emergency care, grounded in Kolb’s Experiential Learning Theory. A concurrent triangulation mixed-methods design was implemented over two weeks across four pediatric hospitals. Through stratified random sampling, 128 NICU nurses were allocated to VR simulation (n = 64) or traditional training (n = 64) groups. Quantitative data were collected using validated instruments (OSCE: CVI = 0.92, MCQ: α = 0.86) measuring clinical skills, knowledge retention, and decision-making accuracy. Qualitative data were gathered through semi-structured interviews (n = 24) exploring experiential aspects. The VR group showed significant improvements in clinical skills (OSCE: +16.1 points, p < 0.001, d = 1.58), decision-making accuracy (+ 16.7%, p < 0.001), and reduced stabilization times (-6.2 min, p < 0.001). Patient safety events decreased by 52% (p < 0.001). Thematic analysis revealed enhanced professional competence (83%), reduced clinical anxiety (75%), and positive learning experiences (88%), despite minor technical challenges. VR simulation demonstrates superior effectiveness for neonatal emergency training, significantly improving both nurse competency and patient outcomes. While geographic specificity and brief follow-up duration limit generalizability, findings support VR’s potential for enhancing emergency preparedness. Future research should address longitudinal outcomes and implementation across diverse healthcare settings. Not applicable.
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Alruwaili A. N. et al. Virtual reality simulation for high-risk neonatal emergency nursing training: a mixed-methods study on nurse competency and outcomes // BMC Nursing. 2025. Vol. 24. No. 1. 367
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Alruwaili A. N., Alshammari A. M., Alhaiti A., Elsharkawy N. B., Ali S. I., Elsayed Ramadan O. M. Virtual reality simulation for high-risk neonatal emergency nursing training: a mixed-methods study on nurse competency and outcomes // BMC Nursing. 2025. Vol. 24. No. 1. 367
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TY - JOUR
DO - 10.1186/s12912-025-03038-4
UR - https://bmcnurs.biomedcentral.com/articles/10.1186/s12912-025-03038-4
TI - Virtual reality simulation for high-risk neonatal emergency nursing training: a mixed-methods study on nurse competency and outcomes
T2 - BMC Nursing
AU - Alruwaili, Abeer Nuwayfi
AU - Alshammari, Afrah Madyan
AU - Alhaiti, Ali
AU - Elsharkawy, Nadia Bassuoni
AU - Ali, Sayed Ibrahim
AU - Elsayed Ramadan, Osama Mohamed
PY - 2025
DA - 2025/04/03
PB - Springer Nature
IS - 1
VL - 24
SN - 1472-6955
ER -
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@article{2025_Alruwaili,
author = {Abeer Nuwayfi Alruwaili and Afrah Madyan Alshammari and Ali Alhaiti and Nadia Bassuoni Elsharkawy and Sayed Ibrahim Ali and Osama Mohamed Elsayed Ramadan},
title = {Virtual reality simulation for high-risk neonatal emergency nursing training: a mixed-methods study on nurse competency and outcomes},
journal = {BMC Nursing},
year = {2025},
volume = {24},
publisher = {Springer Nature},
month = {apr},
url = {https://bmcnurs.biomedcentral.com/articles/10.1186/s12912-025-03038-4},
number = {1},
pages = {367},
doi = {10.1186/s12912-025-03038-4}
}