Scand J Trauma Resus
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Scand J Trauma Resus · Apr 2019
Multicenter StudyKey performance indicators for pre hospital emergency Anaesthesia - a suggested approach for implementation.
Pre-hospital Emergency Anaesthesia (PHEA) is regarded as one of the highest risk interventions that pre-hospital providers perform. AAGBI guidance from 2017 suggests the use of Key Performance Indicators (KPIs) to audit PHEA quality. The aim of this study was to develop KPIs for use in our service and evaluate their impact. ⋯ The KPI process has demonstrated areas of good quality practice and led to improvements in equipment, processes and documentation and therefore patient care. We offer suggestions to other organisations considering implementing KPIs for PHEA.
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Scand J Trauma Resus · Apr 2019
Could we employ the queueing theory to improve efficiency during future mass causality incidents?
Preparation for a disaster or accident-related mass casualty events is often based on experience. The objective measures or tools for evaluating decision-making and effectiveness during such events are underdeveloped. Queueing theory has been suggested to evaluate the effectiveness of mass causality incidents (MCI) plans. ⋯ The queueing network model is a flexible tool that could be used in different types of MCIs to observe the degree of efficiency when handling MCIs.
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Scand J Trauma Resus · Apr 2019
The effects of prehospital system delays on the treatment efficacy of STEMI patients.
Cardiovascular disease accounts for nearly half of all deaths in Poland. The aim of this study was to assess both the duration and the delays of prehospital treatment in ST-segment elevation myocardial infarction (STEMI) patients and how it impacts left ventricle ejection fraction (LVEF) measured at the time of discharge and the frequency of in-hospital patient mortality. ⋯ This study emphasised how vital it is to minimise time spent with STEMI patients at the scene of their cardiovascular event by performing an ECG as quickly as possible and by immediately transporting the patient to the hospital with the targeted treatment. This may lead to the implementation of additional training in the field of ECG interpretation, increase the prevalence of teletransmission systems, and improve communication between Emergency Medical Services (EMS) and catheterization laboratories ultimately reducing patient mortality.
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Scand J Trauma Resus · Apr 2019
Drone delivery of an automated external defibrillator - a mixed method simulation study of bystander experience.
Out-of-hospital cardiac arrest (OHCA) affects some 275,000 individuals in Europe each year. Time from collapse to defibrillation is essential for survival. As emergency medical services (EMS) response times in Sweden have increased, novel methods are needed to facilitate early treatment. Unmanned aerial vehicles (i.e. drones) have potential to deliver automated external defibrillators (AED). The aim of this simulation study was to explore bystanders' experience of a simulated OHCA-situation where a drone delivers an AED and how the situation is affected by having one or two bystanders onsite. ⋯ The study shows that it made good sense for bystanders to interact with a drone in this simulated suspected OHCA. Bystanders experienced delivery of AED as safe and feasible. This has potential implications, and further studies on bystanders' experiences in real cases of OHCA in which a drone delivers an AED are therefore necessary.
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Scand J Trauma Resus · Apr 2019
Multicenter StudyThe Danish helicopter emergency medical service database: high quality data with great potential.
The Danish Helicopter Emergency Medical Service (HEMS) is part of the Danish pre-hospital response offering advanced patient care on scene and during rapid transport to definitive care. Monitoring HEMS performance and the quality of critical care has high national as well as international priority underlining the need for research in this field. The data quality of the Danish HEMS database is unknown. Furthermore, a set of quality indicators (QI) developed by an international collaboration group (EQUIPE) potentially for use in physician-staffed EMS, has recently been presented. The aim of the current study was to present the design and data quality of the Danish helicopter database, and to evaluate the coverage of available variables in the database according to the QIs proposed. ⋯ Helicopter Emergency Medical Services in Denmark are a new and sparsely investigated health care provider. The database contains nearly all missions dispatched by the five regional Emergency Medical Dispatch Centres. Generally, the data quality is considered high with great potential for future research. Potential quality indicators as proposed by the EQUIPE-collaboration group could inspire the configuration and design of the next version of Hemsfile creating an even more solid basis for research and quality improvement.