Evidence map›Paper›PMID 39179965›Full record

ReviewInternational journal of emergency medicine2024

Extended reality training for mass casualty incidents: a systematic review on effectiveness and experience of medical first responders.

María Del Carmen Cardós-Alonso, Lucía Otero-Varela, María Redondo, Miriam Uzuriaga, Myriam González, Tatiana Vazquez, Alberto Blanco, Salvador Espinosa, Ana María Cintora-Sanz

Abstract readReview
In one paragraph

Review in International journal of emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Enhancing emergency response in Somalia: Evaluating the WHO Mass Casualty Management course in trauma hospitals.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  3. Article
  4. Article
  5. 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

9 authors.

María Del Carmen Cardós-AlonsoServicio de Urgencias Médicas de la Comunidad de Madrid (SUMMA112), Madrid, Spain. ccardos@ucm.es.ORCID http://orcid.org/0000-0003-1541-214X
Lucía Otero-VarelaFundación para la Innovación e Investigación Biosanitarias en Atención Primaria (FIIBAP), Madrid, Spain.ORCID http://orcid.org/0000-0002-4406-6314
María RedondoServicio de Urgencias Médicas de la Comunidad de Madrid (SUMMA112), Madrid, Spain.
Miriam UzuriagaServicio de Urgencias Médicas de la Comunidad de Madrid (SUMMA112), Madrid, Spain.
Myriam GonzálezServicio de Urgencias Médicas de la Comunidad de Madrid (SUMMA112), Madrid, Spain.
Tatiana VazquezServicio de Urgencias Médicas de la Comunidad de Madrid (SUMMA112), Madrid, Spain.
Alberto BlancoServicio de Urgencias Médicas de la Comunidad de Madrid (SUMMA112), Madrid, Spain.
Salvador EspinosaServicio de Urgencias Médicas de la Comunidad de Madrid (SUMMA112), Madrid, Spain.
Ana María Cintora-SanzServicio de Urgencias Médicas de la Comunidad de Madrid (SUMMA112), Madrid, Spain.ORCID http://orcid.org/0000-0003-2654-0235

Funding

European Union's Horizon 2020 Research and Innovation Program Grant agreement No 101021775
6 · The paper itself

Abstract

introductionMass casualty incidents (MCI) are unforeseeable and complex events that occur worldwide, therefore enhancing the training that medical first responders (MFRs) receive is fundamental to strengthening disaster preparedness and response. In recent years, extended reality (XR) technology has been introduced as a new approach and promising teaching technique for disaster medicine education.

objectiveTo assess the effectiveness of XR simulation as a tool to train MFRs in MCIs, and to explore the perception and experience of participants to these new forms of training.

designSystematic review.

methodsThis systematic review was conducted in accordance with the "Preferred reporting items for systematic reviews and meta-analyses" (PRISMA) statement. Four databases were searched (MEDLINE, EMBASE, CINAHL and LILACs) using a comprehensive search strategy to identify relevant articles, and MetaQAT was used as a study quality assessment tool. Data from included studies was not pooled for meta-analysis due to heterogeneity. Extracted data was synthesised in a narrative, semi-quantitative manner.

resultsA total of 18 studies were included from 8 different countries. Studies encompassed a variety of participants (e.g., nurses, paramedics, physicians), interventions (virtual, mixed and augmented reality), comparators (comparison between two groups and single groups with pre-post evaluation), and outcomes (effectiveness and MFR perception). The synthesis of data indicated that XR was an effective tool for prehospital MCI training by means of improved triage accuracy, triage time, treatment accuracy, performance correctness and/or knowledge acquired. These XR systems were well perceived by MFRs, who expressed their interest and satisfaction towards this learning experience and emphasized its usefulness and relevance.

conclusionThis research supports the usefulness and significance of XR technology that allows users to enhance their skills and confidence when facing forthcoming disasters. The findings summarize recommendations and suggestions for the implementation, upgrade and/or assessment of this novel and valuable teaching method.

Indexed as

Disaster preparednessDisaster trainingEmergency medicine educationExtended reality

Identifiers

PMID39179965
PMCPMC11342566

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.