Evidence map›Paper›PMID 42387652›Full record

ArticleAdvances in simulation (London, England)2026

Self-efficacy in mass casualty incident training using mixed reality.

María Del Carmen Cardós-Alonso, Miguel Inzunza, Lina Gyllencreutz, Salvador Espinosa-Ramírez, Ana María Cintora-Sanz

Abstract read
In one paragraph

Article in Advances in simulation (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

María Del Carmen Cardós-AlonsoEmergency Medical Service of the Community of Madrid (SUMMA112), Madrid, Spain. carmen.cardos@salud.madrid.org.ORCID http://orcid.org/0000-0003-1541-214X
Miguel InzunzaUnit of Police Work/Research Unit, Umeå University, Umeå, Sweden.ORCID http://orcid.org/0000-0001-9861-3144
Lina GyllencreutzDepartment of Nursing, Umeå University, Umeå, Sweden.ORCID http://orcid.org/0000-0002-1848-060X
Salvador Espinosa-RamírezEmergency Medical Service of the Community of Madrid (SUMMA112), Madrid, Spain.
Ana María Cintora-SanzEmergency Medical Service of the Community of Madrid (SUMMA112), Madrid, Spain.ORCID http://orcid.org/0000-0003-2654-0235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThroughout Europe, Emergency Medical Services (EMS) rely heavily on Medical First Responders (MFR) to ensure early stabilization and appropriate handling of complex Mass Casualty Incidents (MCI). Mixed Reality (MR), also known as Augmented Reality (AR), provides interactive training by integrating real environments with digital components. This technology enables MFR to practise complex decision-making and hands-on interventions in high-stress, simulated scenarios. However, assessing its genuine effectiveness remains challenging, as true competency is often difficult to demonstrate outside real-life emergencies. This study aims to measure pre- and post-test changes in perceived self-efficacy among MFR following a targeted MR intervention focused specifically on the initial management of MCI.

methodA pre-test/post-test survey design was employed with 274 MFR who underwent detailed MR training simulating complex, early-stage MCI scenarios. To analyze the intervention's precise impact on participant confidence, data were analyzed using both within- and between-subjects ANOVA, providing information about the change in self-efficacy across the cohort.

resultsThe analysis revealed a statistically significant increase in perceived self-efficacy among the 274 participants following the training (F(1,270)=169.36, p<.01, η

conclusionFindings suggest that MR training significantly enhances MFRs' perceived self-efficacy in managing MCIs. Consequently, integrating immersive MR technologies into emergency training programs may represent a valuable complementary strategy for strengthening organizational disaster preparedness and improving MFR confidence and decision-making skills in high-stakes situations.

Indexed as

Disaster responseEmergency medical servicesMass casualty incidentsMixed realitiesSelf-efficacySimulation

Identifiers

PMID42387652
PMCPMC13595628

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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.