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Targets for improving dispatcher identification of acute stroke

Artikel i vetenskaplig tidskrift
Författare O. S. Mattila
T. Puolakka
J. Ritvonen
S. Pihlasviita
H. Harve
A. Alanen
G. Sibolt
S. Curtze
D. Strbian
M. Pystynen
Turgut Tatlisumak
M. Kuisma
P. J. Lindsberg
Publicerad i International Journal of Stroke
Volym 14
Nummer/häfte 4
Sidor 409-416
ISSN 1747-4930
Publiceringsår 2019
Publicerad vid Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap
Sidor 409-416
Språk en
Länkar dx.doi.org/10.1177/1747493019830315
Ämnesord Stroke, dispatcher identification, EMS, emergency call, acute ischemic-stroke, thrombolysis, care, Neurosciences & Neurology, Cardiovascular System & Cardiology
Ämneskategorier Neurologi

Sammanfattning

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.

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