Literature DB >> 18584497

Accuracy of stroke recognition by emergency medical dispatchers and paramedics--San Diego experience.

Prasanthi Ramanujam1, Kama Z Guluma, Edward M Castillo, Marcus Chacon, Matt B Jensen, Ekta Patel, William Linnick, James V Dunford.   

Abstract

BACKGROUND: Prehospital personnel in Emergency Medical Service (EMS) systems have varying levels of accuracy in stroke recognition. Identifying the accuracy of emergency medical dispatcher using Medical Priority Dispatch Systems (MPDS) stroke protocol and paramedics may help understand the accuracy of stroke recognition in about 3000 emergency medical dispatch systems and prehospital systems world wide.
OBJECTIVE: Our aim was to assess the accuracy of stroke identification in emergency medical dispatchers (EMD) with high compliance to MPDS protocol and paramedics using Cincinnati Prehospital Stroke Scale (CSS).
METHODS: This was a retrospective observational study. Data was acquired from a computer assisted dispatch (CAD) system, a computerized paramedic record database and discharge diagnosis from billing records or stroke registry containing all stroke assessments of patients who presented to the participating study hospitals within 12 hours of symptom onset. We included patients 18 years or older, identified as having stroke by EMD and city agency paramedics. We excluded patients taken to hospitals not participating in the study, patients with a dispatch determinant of Stroke (card 28) not transported by City EMS agency (SDMSE) to participating hospitals, patients in the stroke registry not transported by SDMSE or patients with no final outcome data. A stroke neurologist or hospital discharge diagnosis of stroke (physician diagnosis) was used to determine the sensitivity and predictive values of EMD and paramedic recognition of stroke.
RESULTS: Of 882 patients with a dispatch determinant of stroke using MPDS Stroke protocol, 367 had a final discharge diagnosis of stroke. This gives a sensitivity of 83% and a positive predictive value of 42% for EMD using MPDS Stroke protocol. Of 477 patients with a paramedic assessment of stroke using CSS, 193 had a final discharge diagnosis of stroke. This gives a sensitivity of 44% and a PPV of 40% for paramedics using CSS.
CONCLUSIONS: In our EMS system, EMD using MPDS Stroke protocol with a high compliance has a higher sensitivity than paramedics using CSS.

Entities:  

Mesh:

Year:  2008        PMID: 18584497     DOI: 10.1080/10903120802099526

Source DB:  PubMed          Journal:  Prehosp Emerg Care        ISSN: 1090-3127            Impact factor:   3.077


  45 in total

1.  Advances in the stroke system of care.

Authors:  Matthew L Clark; Toby Gropen
Journal:  Curr Treat Options Cardiovasc Med       Date:  2015-01

2.  Prehospital triage, discrepancy in priority-setting between emergency medical dispatch centre and ambulance crews.

Authors:  A Khorram-Manesh; K Lennquist Montán; A Hedelin; M Kihlgren; P Örtenwall
Journal:  Eur J Trauma Emerg Surg       Date:  2010-05-04       Impact factor: 3.693

3.  Prehospital stroke scales as screening tools for early identification of stroke and transient ischemic attack.

Authors:  Zhivko Zhelev; Greg Walker; Nicholas Henschke; Jonathan Fridhandler; Samuel Yip
Journal:  Cochrane Database Syst Rev       Date:  2019-04-09

Review 4.  Prehospital stroke scales in urban environments: a systematic review.

Authors:  Ethan S Brandler; Mohit Sharma; Richard H Sinert; Steven R Levine
Journal:  Neurology       Date:  2014-05-21       Impact factor: 9.910

5.  Race and sex disparities in prehospital recognition of acute stroke.

Authors:  Prasanthi Govindarajan; Benjamin T Friedman; James Q Delgadillo; David Ghilarducci; Lawrence J Cook; Barbara Grimes; Charles E McCulloch; S Claiborne Johnston
Journal:  Acad Emerg Med       Date:  2015-02-25       Impact factor: 3.451

6.  Identifying Key Words in 9-1-1 Calls for Stroke: A Mixed Methods Approach.

Authors:  Christopher T Richards; Baiyang Wang; Eddie Markul; Frank Albarran; Doreen Rottman; Neelum T Aggarwal; Patricia Lindeman; Leslee Stein-Spencer; Joseph M Weber; Kenneth S Pearlman; Katie L Tataris; Jane L Holl; Diego Klabjan; Shyam Prabhakaran
Journal:  Prehosp Emerg Care       Date:  2017-06-29       Impact factor: 3.077

7.  Accuracy of emergency medical services-reported last known normal times in patients suspected with acute stroke.

Authors:  David Curfman; Lisa Tabor Connor; Hawnwan Philip Moy; Laura Heitsch; Peter Panagos; Jin-Moo Lee; David K Tan; Andria L Ford
Journal:  Stroke       Date:  2014-03-18       Impact factor: 7.914

Review 8.  Strategies for streamlining emergency stroke care.

Authors:  Keith G DeSousa; Diogo C Haussen; Dileep R Yavagal
Journal:  Curr Neurol Neurosci Rep       Date:  2014-11       Impact factor: 5.081

9.  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

10.  Development of an emergency department response to acute stroke ("Code Stroke").

Authors:  Enrique C Leira; Azeemuddin Ahmed
Journal:  Curr Neurol Neurosci Rep       Date:  2009-01       Impact factor: 5.081

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