Evidence map›Paper›PMID 41803710›Full record

Observational studyBMC emergency medicine2026

Improving preparedness for mass casualty incidents in hospitals: insights from a large-scale simulation exercise with geotracking and validated questionnaires.

Maik von der Forst, Hanne Schaefer, Stefan Mohr, Hannes G Kenngott, Elyes Farjallah, Matthias Huck, Anke S Baetzner, Marie Ottilie Frenkel, Markus Ries, Martin Loos and 5 more

Abstract readObservational Study
In one paragraph

Observational study in BMC emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

15 authors.

Maik von der ForstMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany. maik.forst@med.uni-heidelberg.de.ORCID 0000-0002-5381-6535
Hanne SchaeferMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Stefan MohrMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Hannes G KenngottMedical Faculty Heidelberg, Department of General-, Visceral- and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Elyes FarjallahMedical Faculty Heidelberg, Department of General-, Visceral- and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Matthias HuckMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Anke S BaetznerInstitute of Sports and Sports Sciences, Heidelberg University, Heidelberg, Germany.
Marie Ottilie FrenkelInstitute of Sports and Sports Sciences, Heidelberg University, Heidelberg, Germany.
Markus RiesMedical Faculty Heidelberg, Medical Crisis and Disaster Management Unit, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Martin LoosMedical Faculty Heidelberg, Department of General-, Visceral- and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Christoph W MichalskiMedical Faculty Heidelberg, Department of General-, Visceral- and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Christine LeowardiMedical Faculty Heidelberg, Department of General-, Visceral- and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Markus WeigandMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Erik PoppMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Gabriel A SalgMedical Faculty Heidelberg, Department of General-, Visceral- and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany. gabriel.salg@med.uni-heidelberg.de.ORCID 0000-0002-3964-3527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMass casualty incidents (MCIs) rapidly exceed routine hospital capacity. Full-scale exercises are essential for preparedness, but systematic, multidimensional evaluations remain scarce. This study aimed to evaluate overall team performance in triage accuracy, workflow, and individual workload throughout a MCI exercise.

methodsIn a prospective observational study at Heidelberg University Hospital (Germany), healthcare professionals managed 91 simulated casualties using a two-stage triage process. Patients and staff carried location tags enabling continuous spatiotemporal tracking. Objective outcomes included triage accuracy, triage duration, patient flow, and staff–patient contact frequency. Subjective workload and teamwork were assessed using the NASA Task Load Index (NASA-TLX) and the Team Emergency Assessment Measure (TEAM), respectively.

resultsOverall triage accuracy was 75.4%. Undertriage occurred in 11.6% of category I and 10.1% of category II cases; overtriage was infrequent (2.9%). Mean triage times differed significantly by category: ‘red’ 59 ± 25 s, ‘yellow’ 173 ± 74 s, ‘green’ 205 ± 100 s (p < 0.0001). Geotracking demonstrated consistent patient flow without detectable bottlenecks and a mean of 7.1 ± 5.7 patient contacts per staff member. NASA-TLX scores indicated high temporal demand but low frustration with an overall workload of 66.7 ± 16; specialists and staff with greater professional experience reported significantly lower perceived workload (p < 0.05). TEAM ratings were homogeneously good across all participants (79.8%).

conclusionsThis study provides reproducible benchmark data on simulated hospital MCI response. The integration of geotracking with subjective measures, enables a comprehensive evaluation of hospital disaster preparedness. Moreover, the ability to compare different exercises and collect reliable longitudinal data may further enhance hospital disaster response.

Indexed as

Disaster PlanningEmergency Service, HospitalMass Casualty IncidentsTriageGermanyHumansProspective StudiesSurveys and QuestionnairesWorkflowWorkloadCommunicationCritical infrastructureDisaster medicineHospital disaster planningIncident commandLeadershipMass casualty incident

Identifiers

PMID41803710
PMCPMC13064031

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.