Evidence map›Paper›PMID 32700228›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2021

An online, interactive, screen-based simulator for learning basic EEG interpretation.

Brenda G Fahy, Jean E Cibula, W Travis Johnson, Lou Ann Cooper, David Lizdas, Nikolaus Gravenstein, Samsun Lampotang

Abstract read
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

7 authors at 1 institution in 1 country.

Brenda G FahyDepartment of Anesthesiology, University of Florida, PO Box 100254, Gainesville, FL, 32610-0254, USA. bfahy@anest.ufl.edu.ORCID https://orcid.org/0000-0002-5248-5164
Jean E CibulaDepartment of Neurology, University of Florida, Gainesville, FL, USA.
W Travis JohnsonDepartment of Anesthesiology, University of Florida, PO Box 100254, Gainesville, FL, 32610-0254, USA.
Lou Ann CooperOffice for Educational Affairs, University of Florida College of Medicine, Gainesville, FL, USA.
David LizdasDepartment of Anesthesiology, University of Florida, PO Box 100254, Gainesville, FL, 32610-0254, USA.
Nikolaus GravensteinDepartment of Anesthesiology, University of Florida, PO Box 100254, Gainesville, FL, 32610-0254, USA.
Samsun LampotangDepartment of Anesthesiology, University of Florida, PO Box 100254, Gainesville, FL, 32610-0254, USA.
University of Florida · US

Funding

Foundation for Anesthesia Education and Research 96741
6 · The paper itself

Abstract

objectiveDevelop and pilot test a simulator that presents ten commonly encountered representative clinical contexts for trainees to learn basic electroencephalogram (EEG) interpretation skills.

methodsWe created an interactive web-based training simulator that allows self-paced, asynchronous learning and assessment of basic EEG interpretation skills. The simulator uses the information retrieval process via a free-response text box to enhance learning. Ten scenarios were created that present dynamic (scrolling) EEG tracings resembling the clinical setting, followed by questions with free-text answers. The answer was checked against an accepted word/phrase list. The simulator has been used by 76 trainees in total. We report pilot study results from the University of Florida's neurology residents (N = 24). Total percent correct for each scenario and average percent correct for all scenarios were calculated and correlated with most recent In-training Examination (ITE) and United States Medical License Examination (USMLE) scores.

resultsNeurology residents' mean percent correct scenario scores ranged from 27.1-86.0% with an average scenario score of 61.2% ± 7.7. We showed a moderately strong correlation r = 0.49 between the ITE and the average scenario score.

conclusionWe developed an online interactive EEG interpretation simulator to review basic EEG content and assess interpretation skills using an active retrieval approach. The pilot study showed a moderately strong correlation r = 0.49 between the ITE and the average scenario score. Since the ITE is a measure of clinical practice, this is evidence that the simulator can provide self-directed instruction and shows promise as a tool for assessment of EEG knowledge.

Indexed as

Clinical CompetenceInternship and ResidencyEducation, Medical, GraduateElectroencephalographyHumansPilot ProjectsUnited StatesActive retrievalEducation/methodsElectroencephalographyGraduate Medical EducationSimulation

Identifiers

PMID32700228
OpenAlexW3044932489

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.