Abstract

BackgroundMass casualty incidents (MCIs) can occur as a consequence of a wide variety of events and often require overwhelming prehospital and emergency support and coordinated emergency response. A variety of disaster triage systems have been developed to assist health care providers in making difficult choices with regards to prioritization of victim treatment. The simple triage and rapid treatment (START) triage system is one of the most widely used triage algorithms; however, the research literature addressing real-world or simulation studies documenting the classification accuracy of personnel using START is lacking.Aims and ObjectivesTo explore the existing literature related to the current state of knowledge about studies assessing the classification accuracy of the START triage system.DesignScoping review based on Arksey and O'Malley's methodological framework and narrative synthesis based on methods described by Popay and colleagues were performed.ResultsThe literature search identified 1,820 citations, of which 32 studies met the inclusion criteria. Thirty were peer-reviewed articles and 28 published in the last 10 years (i.e., 2010 and onward). Primary research studies originated in 13 countries and included 3,706 participants conducting triaging assessments involving 2,950 victims. Included studies consisted of five randomized controlled trials, 17 non-randomized controlled studies, eight descriptive studies, and two mixed-method studies. Simulation techniques, mode of delivery, contextual features, and participants' required skills varied among studies. Overall, there was no consistent reporting of outcomes across studies and results were heterogeneous. Data were extracted from the included studies and categorized into two themes: (1) typology of simulations and (2) START system in MCIs simulations. Each theme contains sub-themes regarding the development of simulation employing START as a system for improving individuals' preparedness. These include types of simulation training, settings, and technologies. Other sub-themes include outcome measures and reference standards.ConclusionThis review demonstrates a variety of factors impacting the development and implementation of simulation to assess characteristics of the START system. To further improve simulation-based assessment of triage systems, we recommend the use of reporting guidelines specifically designed for health care simulation research. In particular, reporting of reference standards and test characteristics need to improve in future studies.

Highlights

  • Mass casualty incidents (MCIs) can occur as a consequence of a wide variety of events, such as those resulting from emergencies, disasters, or pandemics, and often require enhanced prehospital and emergency supports and coordinated emergency response

  • Each theme contains sub-themes regarding the development of simulation employing Simple Triage and Rapid Treatment (START) as a system for improving individuals’ preparedness

  • One of the most concerning issues we found in this review exploring the current state of knowledge of studies assessing the classification accuracy of the START system was that two-thirds of the studies completely lacked details regarding the reference standard to which START was being compared

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Summary

Introduction

Mass casualty incidents (MCIs) can occur as a consequence of a wide variety of events, such as those resulting from emergencies, disasters, or pandemics, and often require enhanced prehospital and emergency supports and coordinated emergency response. When MCIs cause the demand for medical care to exceed capacity, prioritization of patients shifts from treatment of the most severe casualties to an attempt to provide the best care for the highest number of victims. In these situations, medical professionals allocate priority to those who are most likely to benefit from the available resources and have the best chance of survival and recovery (1). The simple triage and rapid treatment (START) triage system is one of the most widely used triage algorithms; the research literature addressing real-world or simulation studies documenting the classification accuracy of personnel using START is lacking

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