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

Mass 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. In 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. Overall 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%). This 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.

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Publication Details

Journal
BMC Emergency Medicine
Published
2026-03-09
DOI
https://doi.org/10.1186/s12873-026-01527-6
Primary Topic
Disaster Response and Management
Type
article
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article

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

Christine Leowardi, Matthias Huck, Gabriel Alexander Salg, Marie Ottilie Frenkel et al.
BMC Emergency Medicine
Disaster Response and Management
article

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

Christine Leowardi, Matthias Huck, Gabriel Alexander Salg, Marie Ottilie Frenkel, Erik Popp, Hanne Schaefer, Maik von der Forst, Anke S. Baetzner, Markus Ries, Elyes Farjallah, Hannes Kenngott, M. A. Weigand, CW Michalski, Martin Loos, Stefan Mohr
article en

Abstract

Mass 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. In 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. Overall 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%). This 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.

BMC Emergency Medicine
Heidelberg University (DE), University Hospital Heidelberg (DE), Central Institute of Mental Health (DE), Furtwangen University (DE)
Climate action
Openalex Percentile: Top 37%
Disaster Response and Management
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