Evidence map›Paper›PMID 36566227›Full record

SynthesisScandinavian journal of trauma, resuscitation and emergency medicine2022

Preparing medical first responders for crises: a systematic literature review of disaster training programs and their effectiveness.

Anke S Baetzner, Rafael Wespi, Yannick Hill, Lina Gyllencreutz, Thomas C Sauter, Britt-Inger Saveman, Stefan Mohr, Georg Regal, Cornelia Wrzus, Marie O Frenkel

Abstract readSystematic Review
In one paragraph

Synthesis in Scandinavian journal of trauma, resuscitation and emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  6. Self-efficacy in mass casualty incident training using mixed reality.Advances in simulation (London, England) · 2026
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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

10 authors.

Anke S BaetznerInstitute of Sports and Sports Sciences, Heidelberg University, Heidelberg, Germany. anke.baetzner@issw.uni-heidelberg.de.ORCID http://orcid.org/0000-0001-5366-8184
Rafael WespiDepartment of Emergency Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland.
Yannick HillDepartment of Human Movement Sciences, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, Netherlands.
Lina GyllencreutzDepartment of Nursing, Umeå University, Umeå, Sweden.
Thomas C SauterDepartment of Emergency Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland.
Britt-Inger SavemanDepartment of Nursing, Umeå University, Umeå, Sweden.
Stefan MohrDepartment of Anesthesiology, University Hospital Heidelberg, Heidelberg, Germany.
Georg RegalCenter for Technology Experience, AIT Austrian Institute of Technology, Vienna, Austria.
Cornelia WrzusPsychological Institute and Network Aging Research, Heidelberg University, Heidelberg, Germany.
Marie O FrenkelInstitute of Sports and Sports Sciences, Heidelberg University, Heidelberg, Germany.

Funding

Horizon 2020 Grant agreement No: 101021775
6 · The paper itself

Abstract

backgroundAdequate training and preparation of medical first responders (MFRs) are essential for an optimal performance in highly demanding situations like disasters (e.g., mass accidents, natural catastrophes). The training needs to be as effective as possible, because precise and effective behavior of MFRs under stress is central for ensuring patients' survival and recovery. This systematic review offers an overview of scientifically evaluated training methods used to prepare MFRs for disasters. It identifies different effectiveness indicators and provides an additional analysis of how and to what extent the innovative training technologies virtual (VR) and mixed reality (MR) are included in disaster training research.

methodsThe systematic review was conducted according to the PRISMA guidelines and focused specifically on (quasi-)experimental studies published between January 2010 and September 2021. The literature search was conducted via Web of Science and PubMed and led to the inclusion of 55 articles.

resultsThe search identified several types of training, including traditional (e.g., lectures, real-life scenario training) and technology-based training (e.g., computer-based learning, educational videos). Most trainings consisted of more than one method. The effectiveness of the trainings was mainly assessed through pre-post comparisons of knowledge tests or self-reported measures although some studies also used behavioral performance measures (e.g., triage accuracy). While all methods demonstrated effectiveness, the literature indicates that technology-based methods often lead to similar or greater training outcomes than traditional trainings. Currently, few studies systematically evaluated immersive VR and MR training.

conclusionTo determine the success of a training, proper and scientifically sound evaluation is necessary. Of the effectiveness indicators found, performance assessments in simulated scenarios are closest to the target behavior during real disasters. For valid yet inexpensive evaluations, objectively assessible performance measures, such as accuracy, time, and order of actions could be used. However, performance assessments have not been applied often. Furthermore, we found that technology-based training methods represent a promising approach to train many MFRs repeatedly and efficiently. These technologies offer great potential to supplement or partially replace traditional training. Further research is needed on those methods that have been underrepresented, especially serious gaming, immersive VR, and MR.

Indexed as

DisastersEmergency RespondersClinical CompetenceHumansTriageEmergency medical techniciansEmergency medicineMass casualty incidentMedical educationMixed realityParamedicsPerformancePrehospital careSimulationVirtual reality

Identifiers

PMID36566227
PMCPMC9789518

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.