Use of App for Stroke Assessment VS Standard Level of Care During Prehospital Stroke Assessment

In Denmark, 12,000 people experience a stroke every year. It is the fourth largest cause of death, and costs 4,6 billion Danish crowns in healthcare expenses and lost work income. It is also the leading cause of acquired disability for adults. Pre-hospital recognition of stroke is paramount to ensure fast and correct treatment for patients, in turn leading to better outcomes for patients. As the advanced treatment for ischemic stroke, thrombolysis and thrombectomy, is time-sensitive, even short delays in recognition and treatment can have a large effect on the individual stroke patient. Paramedics on scene have only a few tools to assist them in recognizing stroke, where clinical scales such as the National Institutes of Health Stroke Scale (NIHSS), Face Arm Speech Time (FAST) or Prehospital Stroke Score (PRESS ) are most commonly used. Despite the use of such instruments, patients with stroke still go unrecognized, and as a result, the unrecognized patient might not be hospitalized, be hospitalized in a hospital without stroke facilities or be hospitalized too late for advanced treatment. Lower quality of communication between paramedics and the stroke centre significantly increases prehospital on-scene time. In a consensus statement from the European Academy of Neurology (EAN) and the European Stroke Organisation (ESO), training paramedics to recognise symptoms of all stroke types was strongly recommended. This study aims to explore whether trained paramedics using a mobile application with NIHSS and video communication to the in-hospital stroke physician may improve triage of acute stroke patients. This intervention will be compared to paramedics using standard procedure and communication through regular channels. It is hypothesized that the number of patients brought to the emergency department with suspected acute stroke and discharged with a stroke diagnosis is significantly higher in the app-group (intervention) compared to standard prehospital model (contro