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Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

Development and validation of a dispatcher identification algorithm for stroke emergencies.

Sebastian Krebes¹, Martin Ebinger, André M Baumann

¹Center for Stroke Research, Charité Universitätsmedizin Berlin, Hindenburgdamm 30, 12200 Berlin, Germany.

|January 7, 2012

Summary

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A new dispatcher identification algorithm correctly identified over half of stroke emergencies, aiding faster treatment. Most misidentified cases involved other neurological conditions, not strokes.

Area of Science:

Emergency Medicine
Neurology
Public Health

Background:

Mobile computed tomography (CT) in ambulances enables earlier stroke treatment.
Accurate pre-hospital patient identification is crucial for mobile stroke units.
Developing a reliable dispatcher identification algorithm is essential.

Purpose of the Study:

To develop and validate a novel dispatcher identification algorithm for stroke emergencies.
To improve the accuracy of identifying stroke patients by emergency medical dispatchers.

Main Methods:

Qualitative analysis of emergency call content for stroke, other neurological, and non-neurological diseases.
Prospective validation of the dispatcher algorithm's sensitivity and predictive values in a hospital setting.

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Discharge diagnosis served as the reference standard for validation.

Main Results:

Stroke calls frequently featured dysphasia/dysarthria (33%) and unilateral symptoms (22%).
The algorithm achieved 53.3% sensitivity and 47.8% positive predictive value for stroke.
78.5% of dispatcher-coded stroke cases were confirmed neurological diagnoses.

Conclusions:

The dispatcher identification algorithm correctly identified over half of ambulance-admitted stroke patients.
The majority of false-positive stroke codes were attributed to other neurological conditions.
This algorithm supports earlier initiation of stroke-specific treatments via mobile stroke units.