Recognition of visual symptoms in stroke: a challenge to patients, bystanders, and Emergency Medical Services

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Background: Identification of visual symptoms as a sign of acute stroke can be challenging for both first line healthcare professionals and lay persons. Failed recognition of visual symptoms by medical dispatchers at the Emergency Medical Dispatch Center (EMDC-112) or personnel at the Out-of-Hours Health Service (OOHS) may delay stroke revascularization. We aimed to identify correct system response to visual symptoms in emergency calls. Methods: Phone calls from patient or bystander to the EMDC-112 or OOHS, which included visual symptoms on patients later verified with stroke/Transient ischemic attack (TIA) diagnosis, were analyzed. Data were stratified according to hospitalization within and after 4.5 h from symptom onset. Descriptive and multiple logistic regression analysis were performed. Results: Of 517 calls identified, 290 calls fulfilled inclusion criteria. Only 30% of the patients received correct visitation by the medical dispatchers and referral to the hospital by a high-priority ambulance. Correct visitation was associated with early contact (adjusted OR: 2.37, 95% CI: 1.11, 5.03), contact to the EMDC-112 (adjusted OR: 3.18, 95% CI: 1.80, 5.62), and when the medical dispatcher asked additional questions on typical stroke symptoms (adjusted OR: 6.36, 95% CI: 3.01, 13.43). No specific visual symptom was associated with stroke recognition and fast hospitalization. Conclusions: First line healthcare professionals had significant problems in identifying visual symptoms as a sign of acute stroke and eliciting correct response. This highlights an urgent need to improve knowledge of visual symptoms in acute stroke and emphasize correct response to stroke symptoms in general.

Original languageEnglish
Article number96
JournalBMC Emergency Medicine
Volume23
Issue number1
Number of pages17
ISSN1471-227X
DOIs
Publication statusPublished - 2023

Bibliographical note

Funding Information:
Open access funding provided by Royal Library, Copenhagen University Library. HCC and SNFB were funded by TrygFonden, VFIS by Herlev Gentofte Hospital Research Fund, and CK by Novo Nordisk Fonden grant NNF18OC0031840.

Publisher Copyright:
© 2023, BioMed Central Ltd., part of Springer Nature.

    Research areas

  • Emergency Medical Services; stroke recognition, Prehospital, Stroke, Visual symptoms

ID: 374125286