Evidence map›Paper›PMID 40834700›Full record

ArticleJMIR medical education2025

E-Learning for Pediatric Emergency Department Staff in Point-of-Care Electroencephalogram Interpretation: Prospective Cohort Study.

Leopold Simma, Maurice Henri Schneeberger, Stefanie von Felten, Michelle Seiler, Georgia Ramantani, Bigna Katrin Bölsterli

Abstract read
In one paragraph

Article in JMIR medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

6 authors.

Leopold SimmaEmergency Department, University Children's Hospital Zurich, Lenggstrasse 30, Zurich, 8008, Switzerland, 41 44 249 49 49.ORCID 0000-0003-3032-2759
Maurice Henri SchneebergerMaster Program in Biostatistics, University of Zurich, Zurich, Switzerland.ORCID 0009-0002-4845-9585
Stefanie von FeltenDepartment of Biostatistics, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-5264-6394
Michelle SeilerEmergency Department, University Children's Hospital Zurich, Lenggstrasse 30, Zurich, 8008, Switzerland, 41 44 249 49 49.ORCID 0000-0002-1263-5818
Georgia RamantaniChildren's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-7931-2327
Bigna Katrin BölsterliChildren's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-0008-3339

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Status epilepticus (SE) represents a critical pediatric emergency necessitating prompt treatment and monitoring. The diagnosis of nonconvulsive SE and the monitoring of convulsive SE require electroencephalogram (EEG) recordings. The integration of simplified point-of-care EEG may improve care in pediatric emergency departments. Objective: This study aims to assess the efficacy of an electronic EEG self-learning module for improving the interpretation of normal cortical activity, artifacts, and seizure patterns in point-of-care EEG by pediatric emergency medicine (PEM) providers. Methods: This prospective cohort study was conducted in a tertiary academic pediatric emergency department and primarily targeted senior medical staff while also engaging junior medical staff and registered nurses. A novel EEG e-learning module trained participants to identify normal cortical activity, artifacts, and seizure patterns. The study comprised pretest, posttest, and 3-month retention assessments to evaluate the EEG total score as its primary outcome and basic EEG knowledge and confidence measures as secondary outcomes. Outcomes were analyzed using mixed-effects proportional odds logistic regression models. Results: Of 102 PEM providers invited, 61 individuals participated (25 senior medical staff, 15 junior medical staff, and 21 registered nurses), and 29 finished the 3-tiered study. In finishers, the EEG total score (max=12 points), indicative of accurate EEG classification, increased substantially between pretest and posttest from a median of 7 (IQR 5-8) to 10 (IQR 7-11) points, corresponding with an increase in the odds of achieving higher EEG total scores at the posttest (odds ratio 24.18, 95% CI 7.398-79.043, P<.001). At the retention test, the EEG total score remained elevated, although to a lesser extent (median 8 points [IQR 6-9]). Similar trends were observed in secondary outcomes. Conclusions: The implementation of an e-learning EEG module improved the ability of PEM providers to interpret EEGs. This study highlights the feasibility of imparting basic EEG skills to nonexperts through targeted educational interventions. However, the sustained retention of such skills requires improvement, emphasizing the necessity for ongoing refresher training.

Indexed as

Computer-Assisted InstructionElectroencephalographyPoint-of-Care SystemsStatus EpilepticusChildClinical CompetenceEmergency Service, HospitalFemaleHumansMaleProspective Studiescritical careelectroencephalographyemergency servicemedical educationpediatric emergency medicinepoint-of-care systemsseizuresstatus epilepticus

Identifiers

PMID40834700
PMCPMC12370458

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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.