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Targets for improving dispatcher identification of acute stroke

Mattila, O. S. (author)
Puolakka, T. (author)
Ritvonen, J. (author)
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Pihlasviita, S. (author)
Harve, H. (author)
Alanen, A. (author)
Sibolt, G. (author)
Curtze, S. (author)
Strbian, D. (author)
Pystynen, M. (author)
Tatlisumak, Turgut (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience
Kuisma, M. (author)
Lindsberg, P. J. (author)
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 (creator_code:org_t)
2019-02-13
2019
English.
In: International Journal of Stroke. - : SAGE Publications. - 1747-4930 .- 1747-4949. ; 14:4, s. 409-416
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Background: Accurate identification of acute stroke by Emergency Medical Dispatchers (EMD) is essential for timely and purposeful deployment of Emergency Medical Services (EMS), and a prerequisite for operating mobile stroke units. However, precision of EMD stroke recognition is currently modest. Aims: We sought to identify targets for improving dispatcher stroke identification. Methods: Dispatch codes and EMS patient records were cross-linked to investigate factors associated with an incorrect dispatch code in a prospective observational cohort of 625 patients with a final diagnosis of acute stroke or transient ischemic attack (TIA), transported to our stroke center as candidates for recanalization therapies. Call recordings were analyzed in a subgroup that received an incorrect low-priority dispatch code indicating a fall or unknown acute illness (n = 46). Results: Out of 625 acute stroke/TIA patients, 450 received a high-priority stroke dispatch code (sensitivity 72.0%; 95% CI, 68.5-75.5). Independent predictors of dispatcher missed acute stroke included a bystander caller (aOR, 3.72; 1.48-9.34), confusion (aOR, 2.62; 1.59-4.31), fall at onset (aOR, 1.86; 1.24-2.78), and older age (aOR [per year], 1.02; 1.01-1.04). Of the analyzed call recordings, 71.7% revealed targets for improvement, including failure to recognize a Face Arm Speech Time (FAST) test symptom (21/46 cases, 18 with speech disturbance), or failure to thoroughly evaluate symptoms (12/46 cases). Conclusions: Based on our findings, efforts to improve dispatcher stroke identification should primarily focus on improving recognition of acute speech disturbance, and implementing screening of FAST-symptoms in emergency phone calls revealing a fall or confusion.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Neurologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Neurology (hsv//eng)

Keyword

Stroke
dispatcher identification
EMS
emergency call
acute ischemic-stroke
thrombolysis
care
Neurosciences & Neurology
Cardiovascular System & Cardiology

Publication and Content Type

ref (subject category)
art (subject category)

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