Development and Validation of a Dispatcher Identification Algorithm for Stroke Emergencies
| Autor: | André M Baumann, Michal Rozanski, Jan Sobesky, Peter U. Heuschmann, Philipp A. Kellner, Sebastian Krebes, Florian Doepp, Heinrich J. Audebert, Thomas Gensecke, Bernd A. Leidel, Uwe Malzahn, Ian Wellwood, Martin Ebinger |
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| Rok vydání: | 2012 |
| Předmět: |
Emergency Medical Services
Point-of-Care Systems Ambulances MEDLINE Brain Ischemia Qualitative analysis Predictive Value of Tests Humans Medicine Thrombolytic Therapy In patient Prospective Studies Stroke Reference standards Cerebral Hemorrhage Retrospective Studies Advanced and Specialized Nursing business.industry Reproducibility of Results Retrospective cohort study Reference Standards medicine.disease Berlin Identification (information) Ischemic Attack Transient Predictive value of tests Feasibility Studies Neurology (clinical) Medical emergency Tomography X-Ray Computed Cardiology and Cardiovascular Medicine business Algorithm Algorithms |
| Zdroj: | Stroke. 43:776-781 |
| ISSN: | 1524-4628 0039-2499 |
| DOI: | 10.1161/strokeaha.111.634980 |
| Popis: | Background and Purpose— Recent innovations such as CT installation in ambulances may lead to earlier start of stroke-specific treatments. However, such technically complex mobile facilities require effective methods of correctly identifying patients before deployment. We aimed to develop and validate a new dispatcher identification algorithm for stroke emergencies. Methods— Dispatcher identification algorithm for stroke emergencies was informed by systematic qualitative analysis of the content of emergency calls to ambulance dispatchers for patients with stroke or transient ischemic attack (N=117) and other neurological (N=39) and nonneurological (N=51) diseases (Part A). After training of dispatchers, sensitivity and predictive values were determined prospectively in patients admitted to Charité hospitals by using the discharge diagnosis as reference standard (Part B). Results— Part A: Dysphasic/dysarthric symptoms (33%), unilateral symptoms (22%) and explicitly stated suspicion of stroke (47%) were typically identified in patients with stroke but infrequently in nonstroke cases (all Conclusions— Using dispatcher identification algorithm for stroke emergencies, more than half of all patients with stroke admitted by ambulance were correctly identified by dispatchers. Most false-positive stroke codes had other neurological diagnoses. |
| Databáze: | OpenAIRE |
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