2014
DOI: 10.1159/000358116
|View full text |Cite
|
Sign up to set email alerts
|

Face Arm Speech Time Test Use in the Prehospital Setting, Better in the Ambulance than in the Emergency Medical Communication Center

Abstract: Background: Prehospital identification of acute stroke increases the possibility of early treatment and good outcome. To increase identification of stroke, the Face Arm Speech Time (FAST) test was introduced in the Emergency Medical Communication Center (EMCC). This substudy aims to evaluate the implementation of the FAST test in the EMCC and the ambulance service. Methods: The study was conducted in the region of Stockholm, Sweden during 6 months. The study population consisted of all calls to the EMCC concer… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
48
0
3

Year Published

2016
2016
2023
2023

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 55 publications
(51 citation statements)
references
References 27 publications
0
48
0
3
Order By: Relevance
“…21 In another study of 21 760 dispatches for stroke, the positive predictive value of the dispatch stroke/TIA symptoms identification was 34.3% (95% CI, 33.7-35.0), and the sensitivity was 64.0% (95% CI, 63.0-64.9). 22 In both cases, use of a prehospital stroke scale improved stroke identification, but better stroke identification tools are needed in the prehospital setting.…”
Section: B-nrmentioning
confidence: 97%
“…21 In another study of 21 760 dispatches for stroke, the positive predictive value of the dispatch stroke/TIA symptoms identification was 34.3% (95% CI, 33.7-35.0), and the sensitivity was 64.0% (95% CI, 63.0-64.9). 22 In both cases, use of a prehospital stroke scale improved stroke identification, but better stroke identification tools are needed in the prehospital setting.…”
Section: B-nrmentioning
confidence: 97%
“…Dispatcher sensitivity = true positives/all hospital confirmed stroke or TIA cases; dispatcher positive predictive value = true positives/all dispatcher suspected stroke or TIA cases; dispatcher specificity = true negatives/all hospital confirmed non-stroke or TIA cases; dispatcher negative predictive value = true negatives/all dispatcher non-suspect stroke or TIA cases. Seven cohort studies (3 prospective [20][21][22] and 4 retrospective [12][13][14]23] ) that enrolled a total of 16,382 patients were included. Study characteristics and dispatcher accuracy data (sensitivity, PPV, specificity, and NPV) are summarized in table 1 .…”
Section: Resultsmentioning
confidence: 99%
“…Four studies utilized versions of the MPDS, which incorporates screening questions for facial weakness, arm weakness, and speech difficulty [12][13][14]23] . Two studies used the FAST screening tool without mention of using other decision support such as the MPDS algorithms [20,21] . One study employed a novel screening algorithm developed after qualitative review of 207 emergency dispatch calls [22] .…”
Section: Resultsmentioning
confidence: 99%
“…Cerebral imaging and discharge letter were assessed on our computer system, This score facilitates the prehospital stroke recognition and consists of 3 items (facial weakness, arm weakness and speech disturbance) [14,15] . A FAST score was defined as positive by the presence of at least one of the 3 items.…”
Section: Methodsmentioning
confidence: 99%