Mass casualty incident after the Taba terrorist attack: an organisational and medical challenge

Digital versus analogue record systems for mass casualty incidents at sea-Results from an exploratory study

Objective

Mis-triage may have serious consequences for patients in mass casualty incidents (MCI) at sea. The purpose of this study was to assess outcome, reliability and validity of an analogue and a digital recording system for triage of a MCI at sea.

Methods

The study based on a triage exercise conducted with a cross-over-design. Forty-eight volunteers were presented a fictional MCI with 50 cases. The volunteers were randomly assigned to start with the analogue (Group A, starting with the analogue followed by the digital system) or digital system (Group B, starting with the digital followed by the analogue system). Triage score distribution and agreement between the triage methods and a predefined standard were reported. Reliability was analysed using Cronbach’s Alpha and Cohen’s Kappa. Validity was measured through sensitivity, specificity and predictive value. Treatment, period and carry-over-effects were analysed using a linear mixed-effects model.

Results

The number of patients triaged (total: n = 3545) with the analogue system (n = 1914; 79.75%) was significantly higher (p = 0.001) than with the digital system (n = 1631; 67.96%). A trend towards a higher percentage of correct triages with the digital system was observed (p = 0.282). Ratio of under-triage was significantly smaller with the digital system (p = 0.001). Validity measured with Cronbach’s Alpha and Cohen’s Kappa was higher with the digital system. So was sensitivity (category; green: 80.67%, yellow: 73.24%, red: 83.54%; analogue: green: 93.28%, yellow: 82.36%, red: 94.04%) and specificity of the digital system (green: 78.07%, yellow: 63.75%, red: 66.25%; analogue: green: 85.50%, yellow: 79.88%, red: 91.50%). Comparing the predictive values and accuracy, the digital system showed higher scores than the analogue system. No significant patterns of carry-over-effects were observed.

Conclusions

Significant differences were found for the number of triages comparing the analogue and digital recording system. The digital system has a slightly higher reliability and validity than the analogue triage system.

Hospital Surge Capacity: A Web-Based Simulation Tool for Emergency Planners

The National Center for the Study of Preparedness and Catastrophic Event Response (PACER) has created a publicly available simulation tool called Surge (accessible at http://www.pacerapps.org) to estimate surge capacity for user-defined hospitals. Based on user input, a Monte Carlo simulation algorithm forecasts available hospital bed capacity over a 7-day period and iteratively assesses the ability to accommodate disaster patients. Currently, the tool can simulate bed capacity for acute mass casualty events (such as explosions) only and does not specifically simulate staff and supply inventory. Strategies to expand hospital capacity, such as (1) opening unlicensed beds, (2) canceling elective admissions, and (3) implementing reverse triage, can be interactively evaluated. In the present application of the tool, various response strategies were systematically investigated for 3 nationally representative hospital settings (large urban, midsize community, small rural). The simulation experiments estimated baseline surge capacity between 7% (large hospitals) and 22% (small hospitals) of staffed beds. Combining all response strategies simulated surge capacity between 30% and 40% of staffed beds. Response strategies were more impactful in the large urban hospital simulation owing to higher baseline occupancy and greater proportion of elective admissions. The publicly available Surge tool enables proactive assessment of hospital surge capacity to support improved decision-making for disaster response. (Disaster Med Public Health Preparedness. 2018;12:513–522)

Hospital referral patterns: how emergency medical care is accessed in a disaster

BACKGROUND

A prevalent assumption in hospital emergency preparedness planning is that patient arrival from a disaster scene will occur through a coordinated system of patient distribution based on the number of victims, capabilities of the receiving hospitals, and the nature and severity of illness or injury. In spite of the strength of the emergency medical services system, case reports in the literature and major incident after-action reports have shown that most patients who present at a health care facility after a disaster or other major emergency do not necessarily arrive via ambulance. If these reports of arrival of patients outside an organized emergency medical services system are accurate, then hospitals should be planning differently for the impact of an unorganized influx of patients on the health care system. Hospitals need to consider alternative patterns of patient referral, including the mass convergence of self-referred patients, when performing major incident planning.

METHODS

We conducted a retrospective review of published studies from the past 25 years to identify reports of patient care during disasters or major emergency incidents that described the patients' method of arrival at the hospital. Using a structured mechanism, we aggregated and analyzed the data.

RESULTS

Detailed data on 8303 patients from more than 25 years of literature were collected. Many reports suggest that only a fraction of the patients who are treated in emergency departments following disasters arrive via ambulance, particularly in the early postincident stages of an event. Our 25 years of aggregate data suggest that only 36% of disaster victims are transported to hospitals via ambulance, whereas 63% use alternate means to seek emergency medical care.

CONCLUSIONS

Hospitals should evaluate their emergency plans to consider the implications of alternate referral patterns of patients during a disaster. Additional consideration should be given to mass triage, site security, and the potential need for decontamination after a major incident.

Utstein-style template for uniform data reporting of acute medical response in disasters

BACKGROUND

In 2003, the Task Force on Quality Control of Disaster Management (WADEM) published guidelines for evaluation and research on health disaster management and recommended the development of a uniform data reporting tool. Standardized and complete reporting of data related to disaster medical response activities will facilitate the interpretation of results, comparisons between medical response systems and quality improvement in the management of disaster victims.

METHODS

Over a two-year period, a group of 16 experts in the fields of research, education, ethics and operational aspects of disaster medical management from 8 countries carried out a consensus process based on a modified Delphi method and Utstein-style technique.

RESULTS

The EMDM Academy Consensus Group produced an Utstein-style template for uniform data reporting of acute disaster medical response, including 15 data elements with indicators, that can be used for both research and quality improvement.

CONCLUSION

It is anticipated that the Utstein-style template will enable better and more accurate completion of reports on disaster medical response and contribute to further scientific evidence and knowledge related to disaster medical management in order to optimize medical response system interventions and to improve outcomes of disaster victims.

Evaluation of a CT triage protocol for mass casualty incidents: results from two large-scale exercises

The purpose of this study was to evaluate the feasibility, stability, and reproducibility of a dedicated CT protocol for the triage of patients in two separate large-scale exercises that simulated a mass casualty incident (MCI). In both exercises, a bomb explosion at the local soccer stadium that had caused about 100 casualties was simulated. Seven casualties who were rated "critical" by on-site field triage were admitted to the emergency department and underwent whole-body CT. The CT workflow was simulated with phantoms. The history of the casualties was matched to existing CT examinations that were used for evaluation of image reading under MCI conditions. The times needed for transfer and preparation of patients, examination, image reconstruction, total time in the CT examination room, image transfer to PACS, and image reading were recorded, and mean capacities were calculated and compared using the Mann-Whitney U test. We found no significant time differences in transfer and preparation of patients, duration of CT data acquisition, image reconstruction, total time in the CT room, and reading of the images. The calculated capacities per hour were 9.4 vs. 9.8 for examinations completed, and 8.2 vs. 7.2 for reports completed. In conclusion, CT triage is feasible and produced constant results with this dedicated and fast protocol.