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Survival from out-of-hospital cardiac arrest is time critical and diminishes rapidly without appropriate intervention. Bystander CPR at least doubles the chances of survival and the additional use of a public access defibrillator (PAD) can again double overall survival rates. PADs are designed to be easy and simple to use, but whether untrained bystanders can use them safely and effectively is unknown. This study will aim to assess the ability of untrained bystanders to deploy a PAD in a simulated cardiac arrest.
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Survival from out-of-hospital cardiac arrest is time critical and diminishes rapidly without appropriate intervention. Overall survival is no more than 10% in the UK.
Bystander CPR at least doubles the chances of survival and the additional use of a public access defibrillator (PAD) can again double overall survival rates. Because PADs can make such a dramatic increase in chances of survival, public health programmes have encouraged the deployment of PADs in areas of high public density in order to deliver early defibrillation prior to ambulance arrival. Where this can be achieved, survival rates as high as 50% have been reported.
PADs are designed to be easy and simple to use, and in addition to graphical instructions on the device, give verbal instructions to a rescuer in order to ensure the PAD is used correctly. Most bystanders who are first on scene at a cardiac arrest have no first aid training and it is not always possible to wait for someone with first aid training to be available to use a PAD. Several guidelines, such as those from the Resuscitation Council (UK), state that untrained bystanders can use a PAD, but there has been little evaluation to understand whether this can safely and effectively be achieved without specific PAD training.
This study will aim to assess the ability of untrained bystanders to safely and effectively deploy a PAD in a simulated cardiac arrest, specifically aiming to identify differences between the features of different devices that improve their ease of use in order to understand what design features are required for optimal design.
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Data sourced from clinicaltrials.gov
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