Evidence map›Paper›PMID 41916644›Full record

Observational studyBMJ open2026

Can immersive virtual reality assess hypothermia resuscitation decision-making? A cross-sectional study in a civil-military disaster management context.

Carmen Amalia Lopez Lopez, Robert Greif, Federico Semeraro, Ana Belen Ocampo Cervantes, Manuel Pons Claramonte, Sergio Nieto Caballero, Manuel Pardo Ríos, Daniel Martínez Guillen Martinez, Marina Sánchez Gómez, Martin Plamenov Georgiev and 2 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

12 authors.

Carmen Amalia Lopez LopezNursing Faculty, UCAM Universidad Católica de Murcia, Murcia, Spain.
Robert GreifFaculty of Medicine, University of Bern, Bern, Bern, Switzerland.
Federico SemeraroDepartment of Anaesthesia, Intensive Care and Emergency Medical Services, Maggiore Hospital, Bologna, Italy.
Ana Belen Ocampo CervantesNursing Faculty, UCAM Universidad Católica de Murcia, Murcia, Spain.
Manuel Pons ClaramonteUniversidad Catolica de Murcia Facultad de Ciencias de la Salud, Murcia, Region of Murcia, Spain.
Sergio Nieto CaballeroGerencia de Urgencias y Emergencias Sanitarias 061 de la Región de Murcia (España), Murcia, Spain.
Manuel Pardo RíosNursing Faculty, UCAM Universidad Católica de Murcia, Murcia, Spain mpardo@ucam.edu.ORCID http://orcid.org/0000-0001-7965-0134
Daniel Martínez Guillen MartinezNursing Faculty, UCAM Universidad Católica de Murcia, Murcia, Spain.ORCID http://orcid.org/0000-0003-4968-1364
Marina Sánchez GómezGerencia de Urgencias y Emergencias Sanitarias 061 de la Región de Murcia (España), Murcia, Spain.
Martin Plamenov GeorgievNational Association of Volunteers in the Republic of Bulgaria, Sofia, Bulgaria.
Martin Lyubomirov IvanovEuro-AtlanticDisaster Response Coordination Centre, NATO HQ, Brussels, Belgium.
Lucia Lopez FerrandizNursing Faculty, UCAM Universidad Católica de Murcia, Murcia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the feasibility and acceptability of an immersive virtual reality (VR) scenario for assessing decision-making in accidental hypothermia resuscitation within a civil-military disaster-management exercise, and to explore neurophysiological signals as hypothesis-generating correlates of decision-making.

designCross-sectional observational study.

settingA multinational civil-military disaster-management exercise in Bulgaria (September 2025).

participantsConvenience sample of first responders who completed the VR scenario and post-experience questionnaire (n=62; mean age 30.6 years (SD 7.8); 59/62 male (95.2%) and 3/62 female (4.8%); 43/62 civilian (69.4%) and 19/62 military (30.6%)).

interventionsParticipants completed an interactive 360° immersive VR scenario with multiple-choice decision points covering key steps in accidental hypothermia management. A subsample underwent exploratory neurophysiological monitoring (electroencephalogram (EEG)/ECG) during the scenario. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome was decision accuracy across scenario decision points. Secondary outcomes included perceived usefulness, ease of use, presence and physical discomfort. Exploratory outcomes (subsample) included EEG-derived engagement index and frontal alpha asymmetry.

resultsSixty-two participants completed the simulation. Perceived usefulness and ease of use reached the highest median score (7.0 (IQR 6-7.0)), with >95% agreement across items. Decision accuracy across decision points ranged from 37.5% to 85.7%, with lower accuracy in hypothermia-specific algorithm steps compared with general resuscitation actions. In a very small exploratory EEG/ECG subsample, illustrative case-level, event-locked individual traces suggested possible differences preceding incorrect responses (hypothesis-generating only).

conclusionsImmersive VR was feasible and well accepted for assessing hypothermia resuscitation decision-making in a civil-military exercise. Observed performance highlighted hypothermia-specific decision gaps. Controlled and longitudinal studies are needed to evaluate learning gain and training effectiveness.

Indexed as

Decision MakingHypothermiaResuscitationVirtual RealityAdultCross-Sectional StudiesEmergency RespondersFeasibility StudiesFemaleHumansMaleMilitary PersonnelACCIDENT & EMERGENCY MEDICINEDecision MakingVirtual Reality

Identifiers

PMID41916644
PMCPMC13052543

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.