Evidence map›Paper›PMID 40181454›Full record

ArticleBMC nursing2025

Virtual reality simulation for high-risk neonatal emergency nursing training: a mixed-methods study on nurse competency and outcomes.

Abeer Nuwayfi Alruwaili, Afrah Madyan Alshammari, Ali Alhaiti, Nadia Bassuoni Elsharkawy, Sayed Ibrahim Ali, Osama Mohamed Elsayed Ramadan

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. A Novel Macro-Level Model in Evaluating Health and Safety Training Based on Virtual Reality.International journal of environmental research and public health · 2025
    Article
  11. Article
  12. Review
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Abeer Nuwayfi AlruwailiCollege of Nursing, Nursing Administration and Education Department, Jouf University, Sakaka, 72388, Saudi Arabia. analrwili@ju.edu.sa.
Afrah Madyan AlshammariCollege of Nursing, Department of Maternity and Pediatric Health Nursing, Jouf University, Sakaka, 72388, Saudi Arabia.
Ali AlhaitiDepartment of Nursing, College of Applied Sciences, Almaarefa University, Diriyah, Riyadh, 13713, Saudi Arabia.
Nadia Bassuoni ElsharkawyCollege of Nursing, Department of Maternity and Pediatric Health Nursing, Jouf University, Sakaka, 72388, Saudi Arabia.
Sayed Ibrahim AliCollege of Medicine, Department of Family and Community Medicine, King Faisal University, Alhssa, 31982, Saudi Arabia.
Osama Mohamed Elsayed RamadanPediatric Nursing Department, Faculty of Nursing, Cairo University, Cairo, 11562, Egypt. osama_ramadan_85@cu.edu.eg.ORCID http://orcid.org/0000-0002-9616-8590

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNurses 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.

aimTo 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.

methodsA 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.

resultsThe 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.

conclusionVR 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. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Clinical competencyMixed-methods researchNeonatal emergency careNursing educationPatient outcomesVirtual reality simulation

Identifiers

PMID40181454
PMCPMC11969794

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.