Literature DB >> 27256173

Predictive Ability of an Emergency Medical Dispatch Stroke Diagnostic Tool in Identifying Hospital-Confirmed Strokes.

Jeff J Clawson1, Greg Scott2, Isabel Gardett2, Scott Youngquist3, Peter Taillac4, Conrad Fivaz2, Christopher Olola2.   

Abstract

BACKGROUND: Early hospital notification of a possible stroke arriving via emergency medical services (EMS) can prepare stroke center personnel for timely treatment, especially timely administration of tissue plasminogen activator. Stroke center notification from the emergency dispatch center-before responders reach the scene-may promote even earlier and faster system activation, meaning that stroke center teams may be ready to receive patients as soon as the ambulance arrives. This study evaluates the use of a Medical Priority Dispatch System (MPDS; Priority Dispatch Corp., Salt Lake City, UT) Stroke Diagnostic Tool (SDxT) to identify possible strokes early by comparing the tools' results to on-scene and hospital findings.
METHODS: The retrospective descriptive study utilized stroke data from 3 sources: emergency medical dispatch, EMS, and emergency department/hospital.
RESULTS: A total of 830 cases were collected between June 2012 and December 2013, of which 603 (72.7%) had matching dispatch records. Of the 603 cases, 304 (50.4%) were handled using MPDS Stroke Protocol 28. The SDxT had an 86.4% ability (OR [95% CI]: 2.3 [1.5, 3.5]) to effectively identify strokes among all the hospital-confirmed stroke cases (sensitivity), and a 26.6% ability to effectively identify nonstrokes among all the hospital-confirmed nonstroke cases (specificity).
CONCLUSIONS: The SDxT demonstrated a very high sensitivity, compared to similar tools used in the field and at dispatch. The specificity was somewhat low, but this was expected-and is intended in the creation of protocols to be used over the phone in emergency situations. The tool is a valuable method for identifying strokes early and may allow early hospital notification.
Copyright © 2016 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Stroke; cerebrovascular accident; cerebrovascular disorders; stroke diagnostic and identification; transient ischemic attack

Mesh:

Year:  2016        PMID: 27256173     DOI: 10.1016/j.jstrokecerebrovasdis.2016.04.021

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  7 in total

1.  Regional Evaluation of the Severity-Based Stroke Triage Algorithm for Emergency Medical Services Using Discrete Event Simulation.

Authors:  Brittany M Bogle; Andrew W Asimos; Wayne D Rosamond
Journal:  Stroke       Date:  2017-09-15       Impact factor: 7.914

2.  Brief Educational Intervention Improves Emergency Medical Services Stroke Recognition.

Authors:  J Adam Oostema; Todd Chassee; William Baer; Allison Edberg; Mathew J Reeves
Journal:  Stroke       Date:  2019-05       Impact factor: 7.914

3.  The accuracy of medical dispatch - a systematic review.

Authors:  K Bohm; L Kurland
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-11-09       Impact factor: 2.953

4.  Diagnostic accuracy of clinical tools for assessment of acute stroke: a systematic review.

Authors:  Daria Antipova; Leila Eadie; Ashish Macaden; Philip Wilson
Journal:  BMC Emerg Med       Date:  2019-09-04

5.  The barriers and facilitators to the telephonic application of the FAST assessment for stroke in a private emergency dispatch centre in South Africa.

Authors:  Ethan Mackay; Elzarie Theron; Willem Stassen
Journal:  Afr J Emerg Med       Date:  2020-12-04

6.  Characteristics and outcome of patients triaged by telephone and transported by ambulance: a population-based study in Osaka, Japan.

Authors:  Yusuke Katayama; Tetsuhisa Kitamura; Tomoya Hirose; Kosuke Kiyohara; Kenichiro Ishida; Jotaro Tachino; Shunichiro Nakao; Takeyuki Kiguchi; Yutaka Umemura; Tomohiro Noda; Shusuke Tai; Junya Tsujino; Jun Masui; Yasumitsu Mizobata; Takeshi Shimazu
Journal:  Acute Med Surg       Date:  2020-11-28

7.  Cortical symptoms described in emergency calls for patients with suspected large vessel occlusion: a descriptive analysis of 157 emergency calls.

Authors:  Pauli Vuorinen; Joonas Kiili; Essi Alanko; Heini Huhtala; Jyrki Ollikainen; Piritta Setälä; Sanna Hoppu
Journal:  BMC Emerg Med       Date:  2022-08-13
  7 in total

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