Evidence map›Paper›PMID 41063225›Full record

ArticleBMC medical education2025

Virtual reality vs. Manikin based training on emergency life saving basic rescue skills: a summative evaluation.

Saud Al Turki, Diana Skaff, Gadah Mujlli, Burhanettin Ozdemir, Nisreen Maghraby, Leenah Iskandarani, Chady Diab, Mohammad Nimnim Ashour, Afnan Almass, Amal Othman and 7 more

Abstract readComparative Study
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
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

17 authors.

Saud Al TurkiAcademy of Sciences, Riyadh, Saudi Arabia.
Diana SkaffAcademy of Sciences, Riyadh, Saudi Arabia. Dskaff.aos@gmail.com.
Gadah MujlliClinical Skills and Simulation Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Burhanettin OzdemirOperations and Project Management, College of Business, Alfaisal University, Riyadh, Saudi Arabia.
Nisreen MaghrabyImam Abdulrahman Bin Faisal University, Riyadh, Saudi Arabia.
Leenah IskandaraniAcademy of Sciences, Riyadh, Saudi Arabia.
Chady DiabAcademy of Sciences, Riyadh, Saudi Arabia.
Mohammad Nimnim AshourAcademy of Sciences, Riyadh, Saudi Arabia.
Afnan AlmassAldiriyah Hospital, Ministry of Health, Health Sector 3, Riyadh, Saudi Arabia.
Amal OthmanAcademy of Sciences, Riyadh, Saudi Arabia.
Abdulmajeed AlghosenClinical Skills and Simulation Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Ibrahim AlsalamahSaudi Health Council, Riyadh, Saudi Arabia.
Maha AlotaibiCollege of Medicine, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Najd AlqahtaniCollege of Medicine, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Dua AlguhaimiCollege of Medicine, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Adwa Turki Al-DawoudCollege of Medicine, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Abdulhakeem AlobaidClinical Skills and Simulation Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ongoing professional development constitutes an essential and necessary process for healthcare practitioners, thereby ensuring their proficiency and relevance within the field. This quantitative summative program evaluation compared the effectiveness of Virtual Reality (VR) technology versus traditional manikin-based simulation in teaching basic rescue skills to first responders in Saudi Arabia. The study, conducted through the Academy of Sciences (AOS), addressed the growing need for innovative, engaging, and efficient healthcare education methods, particularly in the context of the post-COVID-19 landscape. The research evaluated the "Mongeth" VR program against conventional manikin simulation training, focusing on key rescue skills including CPR, AED usage, stop the bleed, and choking management. Participants (N = 98) were divided into VR (n = 58) and Manikin (n = 40) groups. Performance was assessed using standardized checklists for various rescue skills. Results demonstrated significantly higher performance scores in the VR group for AED usage (p < 0.001), adult choking management (p = 0.009), infant choking management (p = 0.009), and CPR (p < 0.001). Only the Stop the Bleed assessment showed no significant difference between groups (p = 0.096). Through the lens of Social Cognitive Theory, the study revealed that VR training enhanced learner engagement and self-efficacy while reducing time investment. The findings suggest that VR technology provides a more time-efficient and engaging alternative to traditional manikin-based training, with significant improvements in skills like CPR and choking management, particularly beneficial for busy healthcare professionals and community members requiring basic rescue skills certification. This research contributes to the growing body of evidence supporting the integration of VR technology in healthcare education and has implications for improving population health through more accessible and effective training methodologies.

Indexed as

Cardiopulmonary ResuscitationManikinsSimulation TrainingVirtual RealityAdultClinical CompetenceCOVID-19FemaleHumansMaleSARS-CoV-2Saudi ArabiaAugmented realityEvaluative designFirst responderHealthcare educationManikin based simulationPopulation healthQuantitative methodsSummative program evaluationSurvey strategyVirtual reality

Identifiers

PMID41063225
PMCPMC12506426

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.