Evidence map›Paper›PMID 39281726›Full record

ArticleJournal of the American College of Emergency Physicians open2024

Evaluating the feasibility of prehospital point-of-care EEG: The prehospital implementation of rapid EEG (PHIRE) study.

Elan L Guterman, Mary P Mercer, Andrew J Wood, Edilberto Amorim, Jonathan K Kleen, Daniel Gerard, Colleen Kellison, Scott Yamashita, Benjamin Auerbach, Nikita Joshi and 1 more

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Elan L GutermanDepartment of Neurology University of California San Francisco California USA.ORCID https://orcid.org/0000-0003-0817-3144
Mary P MercerDepartment of Emergency Medicine University of California San Francisco California USA.
Andrew J WoodDepartment of Neurology University of California San Francisco California USA.
Edilberto AmorimDepartment of Neurology University of California San Francisco California USA.
Jonathan K KleenDepartment of Neurology University of California San Francisco California USA.
Daniel GerardEmergency Medical Services, City of Alameda Fire Department Alameda California USA.
Colleen KellisonDepartment of Emergency Medicine University of California San Francisco California USA.
Scott YamashitaDepartment of Emergency Medicine Alameda Hospital Alameda California USA.
Benjamin AuerbachDepartment of Neurology University of California San Francisco California USA.
Nikita JoshiDepartment of Emergency Medicine Alameda Hospital Alameda California USA.
Karl A SporerEmergency Medical Services, City of Alameda Fire Department Alameda California USA.

Funding

Bridge2AI: Patient-Focused Collaborative Hospital Repository Uniting Standards (CHoRUS) for Equitable AIOT2OD032701 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI BIHORAC, AZRA, CLERMONT, GILLES · 2022 to 2025
$24.6M
The Care Ecosystem: Navigating patients and caregivers through stages of dementia careR01AG056715 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POSSIN, KATHERINE LAUREL · 2017 to 2021
$6.0M
Physiology-driven seizure management post-cardiac arrestK23NS119794 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AMORIM, EDILBERTO · 2021 to 2025
$1.1M
Prehospital Management of Status EpilepticusK23NS116128 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUTERMAN, ELAN · 2020 to 2024
$1.1M
NIA NIH HHS R01 AG056715NIH HHS OT2 OD032701NINDS NIH HHS K23 NS116128NINDS NIH HHS K23 NS119794
6 · The paper itself

Abstract

Background: Point-of-care electroencephalography (EEG) devices can be rapidly applied and do not require specialized technologists, creating new opportunities to use EEG during prehospital care. We evaluated the feasibility of point-of-care EEG during ambulance transport for 911 calls. Methods: This mixed-methods study was conducted between May 28, 2022 and October 28, 2023. Emergency Medical Services (EMS) clinicians identified eligible individuals, provided emergent treatment, applied EEG, and obtained an EEG recording during ambulance transport. Eligible patients were aged 6 years or older and evaluated for seizure, stroke, or altered mental status. EMS clinicians completed a survey and a brief phone interview following every enrollment. Two epileptologists reviewed EEG recordings for interpretability and artifact. Results: There were 34 prehospital encounters in which EEG was applied. Patients had a mean age of 69 years, and 15 (44%) were female. EEG recordings had a median duration of 10 min 30 s. It took EMS clinicians an average of 2.5 min to apply the device and begin EEG recording. There were 14 (47%) recordings where clinicians achieved a high-quality connection for all 10 electrodes and 32 (94%) recordings that were sufficient in quality to interpret. There were 24 (71%) recordings with six or more channels free of artifact for 5 min or more. All clinicians agreed or strongly agreed that the device was easy to use. Conclusion: Among real-world prehospital encounters for patients with neurologic symptoms, point-of-care EEG was rapidly applied and yielded EEG recordings that could be used for clinical interpretation, demonstrating the feasibility of point-of-care EEG in future prehospital care.

Identifiers

PMID39281726
PMCPMC11393765

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.