Evidence map›Paper›PMID 42498941›Full record

ArticleBMC emergency medicine2026

Reframing disaster simulation as a translational systems intervention: a design-based comparative analysis of MRMI and the Emergo Train System (ETS).

Khorram-Manesh Amir, Carlström Eric

Abstract readComparative Study
In one paragraph

Article in BMC emergency medicine, 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
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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

2 authors.

Khorram-Manesh AmirInstitute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. Amir.khorram-manesh@surgery.gu.se.
Carlström EricCenter for Disaster Medicine, University of Gothenburg, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisaster simulation is central to emergency preparedness; however, many simulation designs insufficiently represent disasters as prolonged, system-disruptive, and ethically complex events. Exercises frequently emphasize mass-casualty throughput, rely on simplified assumptions, and evaluate success primarily in terms of task completion rather than system performance and organizational learning. This study examines how disaster simulation design shapes preparedness outcomes and explores how simulation may be reframed as a translational systems intervention.

methodsA qualitative design-based research approach was used to conduct an inductive comparative framework analysis of two established disaster simulation paradigms: Medical Response to Major Incident (MRMI) and the Emergo Train System (ETS). Documentary sources included curricula, instructional materials, scenario templates, published evaluations, disaster evidence literature, and World Health Organization Emergency Medical Team standards. Simulation design features were extracted and compared using constant comparative analysis, and the findings were subsequently interpreted through socio-technical systems and resilience engineering perspectives.

resultsFour recurrent design-level tensions were identified using harmonized terminology: (1) divergent disaster conceptualization (governable surge versus unstable system disruption); (2) fidelity emphasis imbalance (cognitive versus behavioral realism); (3) incident-centric temporal framing; and (4) inconsistent translation into organizational learning. Published evaluation reports suggest that MRMI may support governance alignment and coordinated surge reasoning, whereas ETS may provide greater operational realism and more opportunities to expose teamwork under stress. Neither paradigm alone appears to fully address all design requirements relevant to sustained disaster-level system resilience.

conclusionsMRMI and ETS appear complementary but individually incomplete. A staged hybrid architecture integrating governance modeling, operational stress testing, longitudinal degradation modeling, and structured reflective translation is proposed as a design-oriented framework. This framework may help position disaster simulation as a translational systems intervention that connects exercise performance to potentially measurable organizational preparedness and system resilience, while still requiring empirical validation in practical settings.

Indexed as

Disaster PlanningSimulation TrainingHumansQualitative ResearchDesign-based researchDisaster preparednessDisaster simulationEmergency managementResilience engineeringSocio-technical systemsTranslational simulation

Identifiers

PMID42498941
PMCPMC13401294

What OpenQuestion holds

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LicenceCC BY
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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.