Callers' Descriptions of Stroke Symptoms during Emergency Calls in Victims Who Have Fallen or Been Found Lying Down: A Qualitative Content Analysis

Early identification of stroke symptoms is essential. The rate of stroke identification by call-takers at emergency medical communication centres (EMCCs) varies, and patients who are found in a lying down position are often not identified as having an ongoing stroke. this study aimed to explore sign...

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Veröffentlicht in:HEALTHCARE 2024, Vol.12 (4), p.497
Hauptverfasser: Lindström, Veronica, Romanitan, Mihaela Oana, Berglund, Annika, Pirvulescu, Ruxandra Angela, von Euler, Mia, Bohm, Katarina
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Sprache:eng
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Zusammenfassung:Early identification of stroke symptoms is essential. The rate of stroke identification by call-takers at emergency medical communication centres (EMCCs) varies, and patients who are found in a lying down position are often not identified as having an ongoing stroke. this study aimed to explore signs and symptoms of stroke in patients who had fallen or were found in a lying position. a retrospective exploratory qualitative study design was used. a total of 29 emergency calls to EMCCs regarding patients discharged with a stroke diagnosis from a large teaching hospital in Stockholm, Sweden, in January-June 2011, were analysed using qualitative content analysis. during the emergency calls, the callers described a sudden change in the patient's health status including signs such as the patient's loss of bodily control, the patient's perception of a change in sensory perception, and the callers' inability to communicate with the patient. The callers' descriptions of stroke in a person found in a lying position are not always as described in assessment protocols describing the onset of a stroke. Instead, the symptom descriptions are much vaguer. Therefore, to increase identification of stroke during emergency calls, there is a need for an increased understanding of how callers describe stroke symptoms and communicate with the call-takers.
ISSN:2227-9032
2227-9032
DOI:10.3390/healthcare12040497