Dataset Information

Evaluation of prehospital preparedness for major incidents on a national level, with focus on mass casualty incidents.

ABSTRACT:

Purpose

To investigate prehospital preparedness work for Mass Casualty Incidents (MCI) and Major Incidents (MI) in Norway.

Method

A national cross-sectional descriptive study of Norway's prehospital MI preparedness through a web-based survey. A representative selection of Rescue and Emergency Services were included, excluding Non-Governmental Organisations and military. The survey consisted of 59 questions focused on organisation, planning, education/training, exercises and evaluation.

Results

Totally, 151/157 (96%) respondents answered the survey. The results showed variance regarding contingency planning for MCI/MI, revisions of the plans, use of national triage guidelines, knowledge requirements, as well as haemostatic and tactical first aid skills training. Participation in interdisciplinary on-going life-threatening violence (PLIVO) exercises was high among Ambulance, Police and Fire/Rescue Emergency Services. Simulations of terrorist attacks or disasters with multiple injured the last five years were reported by 21/151 (14%) on a regional level and 74/151 (48%) on a local level. Evaluation routines after MCI/MI events were reported by half of the respondents (75/151) and 70/149 (47%) described a dedicated function to perform such evaluation.

Conclusion

The study indicates considerable variance and gaps among Prehospital Rescue and Emergency Services in Norway regarding MCI/MI preparedness work, calling for national benchmarks, minimum requirements, follow-up routines of the organisations and future reassessments. Implementation of mandatory PLIVO exercises seems to have contributed to interdisciplinary exercises between Fire/Rescue, Police and Ambulance Emergency Service. Repeated standardised surveys can be a useful tool to assess and follow-up the MI preparedness work among Prehospital Rescue and Emergency Services at a national, regional and local level.

SUBMITTER: Ugelvik KS

PROVIDER: S-EPMC11249512 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature

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Publications

Evaluation of prehospital preparedness for major incidents on a national level, with focus on mass casualty incidents.

Ugelvik Kristina Stølen KS Thomassen Øyvind Ø Braut Geir Sverre GS Geisner Thomas T Sjøvold Janecke Engeberg JE Agri Joakim J Montan Carl C

European journal of trauma and emergency surgery : official publication of the European Trauma Society 20231220 3

<h4>Purpose</h4>To investigate prehospital preparedness work for Mass Casualty Incidents (MCI) and Major Incidents (MI) in Norway.<h4>Method</h4>A national cross-sectional descriptive study of Norway's prehospital MI preparedness through a web-based survey. A representative selection of Rescue and Emergency Services were included, excluding Non-Governmental Organisations and military. The survey consisted of 59 questions focused on organisation, planning, education/training, exercises and evalua ...[more]

PMID: 38117294

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Project description:BackgroundThe contemporary management of mass casualty incidents (MCIs) relies on the effective application of predetermined, dedicated response plans based on current best evidence. Currently, there is limited evidence regarding the factors influencing the accuracy of first responders (FRs) in applying the START protocol and the associated prehospital times during the response to MCIs. The objective of this study was to investigate factors affecting FRs' accuracy in performing prehospital triage in a series of simulated mass casualty exercises. Secondly, we assessed factors affecting triage-to-scene exit time in the same series of exercises.MethodsThis retrospective study focused on simulated casualties in a series of simulated MCIs Full Scale Exercises. START triage was the triage method of choice. For each Full-Scale Exercise (FSEx), collected data included exercise and casualty-related information, simulated casualty vital parameters, simulated casualty anatomic lesions, scenario management times, and responder experience.ResultsAmong the 1090 casualties included in the primary analysis, 912 (83.6%) were correctly triaged, 137 (12.6%) were overtriaged, and 41 (3.7%) were undertriaged. The multinomial regression model indicated that increasing heart rate (RRR = 1.012, p = 0.008), H-AIS (RRR = 1.532, p < 0.001), and thorax AIS (T-AIS) (RRR = 1.344, p = 0.007), and lower ISS (RRR = 0.957, p = 0.042) were independently associated with overtriage. Undertriage was significantly associated with increasing systolic blood pressure (RRR = 1.013, p = 0.005), AVPU class (RRR = 3.104 per class increase), and A-AIS (RRR = 1.290, p = 0.035). The model investigating the factors associated with triage-to-scene departure time showed that the assigned prehospital triage code red (TR = 0.841, p = 0.002), expert providers (TR = 0.909, p = 0.015), and higher peripheral oxygen saturation (TR = 0.998, p < 0.001) were associated with a reduction in triage-to-scene departure time. Conversely, increasing ISS was associated with a longer triage-to-scene departure time (TR = 1.004, 0.017).ConclusionsUnderstanding the predictors influencing triage and scene management decision-making by healthcare professionals responding to a mass casualty may facilitate the development of tailored training pathways regarding mass casualty triage and scene management.

Project description:Introduction and objectiveScientific reporting on major incidents, mass-casualty incidents (MCIs), and disasters is challenging and made difficult by the nature of the medical response. Many obstacles might explain why there are few and primarily non-heterogenous published articles available. This study examines the process of scientific reporting through first-hand experiences from authors of published reports. It aims to identify learning points and challenges that are important to address to mitigate and improve scientific reporting after major incidents.MethodsThis was a qualitative study design using semi-structured interviews. Participants were selected based on a comprehensive literature search. Ten researchers, who had published reports on major incidents, MCIs, or disasters from 2013-2018 were included, of both genders, from eight countries on three continents. The researchers reported on large fires, terrorist attacks, shootings, complex road accidents, transportation accidents, and earthquakes.ResultsThe interview was themed around initiation, workload, data collection, guidelines/templates, and motivation factors for reporting. The most challenging aspects of the reporting process proved to be a lack of dedicated time, difficulties concerning data collection, and structuring the report. Most researchers had no prior experience in reporting on major incidents. Guidelines and templates were often chosen based on how easily accessible and user-friendly they were.Conclusion and relevanceThere are few articles presenting first-hand experience from the process of scientific reporting on major incidents, MCIs, and disasters. This study presents motivation factors, challenges during reporting, and factors that affected the researchers' choice of reporting tools such as guidelines and templates. This study shows that the structural tools available for gathering data and writing scientific reports need to be more widely promoted to improve systematic reporting in Emergency and Disaster Medicine. Through gathering, comparing, and analyzing data, knowledge can be acquired to strengthen and improve responses to future major incidents. This study indicates that transparency and willingness to share information are requisite for forming a successful scientific report.

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Project description:It is recognized that the study of the disaster medical response (DMR) is a relatively new field. To date, there is no evidence-based literature that clearly defines the best medical response principles, concepts, structures and processes in a disaster setting. Much of what is known about the DMR results from descriptive studies and expert opinion. No experimental studies regarding the effects of DMR interventions on the health outcomes of disaster survivors have been carried out. Traditional analytic methods cannot fully capture the flow of disaster victims through a complex disaster medical response system (DMRS). Computer modelling and simulation enable to study and test operational assumptions in a virtual but controlled experimental environment. The SIMEDIS (Simulation for the assessment and optimization of medical disaster management) simulation model consists of 3 interacting components: the victim creation model, the victim monitoring model where the health state of each victim is monitored and adapted to the evolving clinical conditions of the victims, and the medical response model, where the victims interact with the environment and the resources at the disposal of the healthcare responders. Since the main aim of the DMR is to minimize as much as possible the mortality and morbidity of the survivors, we designed a victim-centred model in which the casualties pass through the different components and processes of a DMRS. The specificity of the SIMEDIS simulation model is the fact that the victim entities evolve in parallel through both the victim monitoring model and the medical response model. The interaction between both models is ensured through a time or medical intervention trigger. At each service point, a triage is performed together with a decision on the disposition of the victims regarding treatment and/or evacuation based on a priority code assigned to the victim and on the availability of resources at the service point. The aim of the case study is to implement the SIMEDIS model to the DMRS of an international airport and to test the medical response plan to an airplane crash simulation at the airport. In order to identify good response options, the model then was used to study the effect of a number of interventional factors on the performance of the DMRS. Our study reflects the potential of SIMEDIS to model complex systems, to test different aspects of DMR, and to be used as a tool in experimental research that might make a substantial contribution to provide the evidence base for the effectiveness and efficiency of disaster medical management.

Project description:BackgroundChemical exposures pose a significant threat to life. A rapid assessment by first responders and emergency nurses is required to reduce death and disability. Currently, no informatics tools exist to process victims of chemical exposures efficiently. The surge of patients into a hospital emergency department during a mass casualty incident creates additional stress on an already overburdened system, potentially placing patients at risk and challenging staff to process patients for appropriate care and treatment efficacy. Traditional emergency department triage models are oversimplified during highly stressed mass casualty incident scenarios in which there is little margin for error. Emerging mobile technology could alleviate the burden placed on nurses by allowing the freedom to move about the emergency department and stay connected to a decision support system.ObjectiveThis study aims to present and evaluate a new mobile tool for assisting emergency department personnel in patient management and triage during a chemical mass casualty incident.MethodsOver 500 volunteer nurses, students, and first responders were recruited for a study involving a simulated chemical mass casualty incident. During the exercise, a mobile application was used to collect patient data through a kiosk system. Nurses also received tablets where they could review patient information and choose recommendations from a decision support system. Data collected was analyzed on the efficiency of the app to obtain patient data and on nurse agreement with the decision support system.ResultsOf the 296 participants, 96.3% (288/296) of the patients completed the kiosk system with an average time of 3 minutes, 22 seconds. Average time to complete the entire triage process was 5 minutes, 34 seconds. Analysis of the data also showed strong agreement among nurses regarding the app's decision support system. Overall, nurses agreed with the system 91.6% (262/286) of the time when it came to choose an exposure level and 84.3% (241/286) of the time when selecting an action.ConclusionsThe app reliably demonstrated the ability to collect patient data through a self-service kiosk system thus reducing the burden on hospital resources. Also, the mobile technology allowed nurses the freedom to triage patients on the go while staying connected to a decision support system in which they felt would give reliable recommendations.

Dataset Information

Evaluation of prehospital preparedness for major incidents on a national level, with focus on mass casualty incidents.

Purpose

Method

Results

Conclusion

Publications

Evaluation of prehospital preparedness for major incidents on a national level, with focus on mass casualty incidents.

Similar Datasets

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