Methods for improving the identification of acute stroke during ambulance calls: A scoping review.

Areej Almutairi, Fadila Wirawan, Adam Lloyd, Tom Moullaali, Gareth Clegg

Journal: PloS one 2025;20(8):e0327653

PMID: 40802682

Abstract

BACKGROUND

Accurately identifying strokes during ambulance calls remains challenging, leading to low diagnostic accuracy and delays in dispatching appropriate services. Limited evidence exists regarding methods for improving call handlers' stroke recognition. This scoping review explores methods for enhancing stroke identification during emergency calls in ambulance control centres (ACCs).

METHODS

We conducted a scoping review following the methodology of the Joanna Briggs Institute and adhered to PRISMA-ScR guidelines. A systematic search was performed across five databases: Embase, Medline, Scopus, Web of Science, and CINAHL, also grey literature sources, covering publications from January 1964 to July 2024. We included studies that examined methods to improve stroke identification during emergency calls in ACCs. To assess the effectiveness of these methods, eligible studies must evaluate at least one of the following outcomes: accuracy of stroke diagnosis, time to diagnosis, effectiveness of staff training, and acceptability of identification techniques. Two reviewers independently screened the studies, extracted the data, and conducted an inductive thematic analysis to identify common themes.

RESULTS

Of the 3,619 studies identified, seven met the inclusion criteria. Included studies focused on technology and algorithms (n = 3), training and educational programs (n = 2), and improved triage tools (n = 2) to enhance stroke identification during emergency calls to ACCs. Studies on technology and algorithms have reported increased stroke identification sensitivity and positive predictive value (PPV) when using new algorithms compared to standard protocols. Training programs have led to improved dispatcher sensitivity in stroke recognition. Improved triage tools also reduce time-to-diagnosis and facilitate quicker emergency responses.

CONCLUSION

This review highlights several methods for improving stroke identification in ACCs. Despite improvements in PPV, sensitivity, and diagnosis time, the lack of generalised standards, single-centre studies, and various population characteristics hinder broader impact. Future research should prioritise well-designed studies with standardised benchmarks to determine effectiveness, enabling effective prehospital stroke identification strategies.

Copyright: © 2025 Almutairi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Address: Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom.; Department of Emergency Medical Services, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.; Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom.; Department of Public Health Nutrition, Universitas Indonesia, Jakarta, Indonesia.; Scottish Ambulance Service, Edinburgh, Scotland, United Kingdom.; Centre for Clinical Brain Sciences, University of Edinburgh, Scotland, United Kingdom.; Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom.; Scottish Ambulance Service, Edinburgh, Scotland, United Kingdom.
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