Evidence map›Paper›PMID 25671022›Full record

ArticleThe western journal of emergency medicine2015

Educational technology improves ECG interpretation of acute myocardial infarction among medical students and emergency medicine residents.

Ali Pourmand, Mary Tanski, Steven Davis, Hamid Shokoohi, Raymond Lucas, Fareen Zaver

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in The western journal of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Ali PourmandGeorge Washington University, Department of Emergency Medicine, Washington, District of Columbia.
Mary TanskiOregon Health & Science University, Portland, Oregon.
Steven DavisGeorge Washington University, Department of Emergency Medicine, Washington, District of Columbia.
Hamid ShokoohiGeorge Washington University, Department of Emergency Medicine, Washington, District of Columbia.
Raymond LucasGeorge Washington University, Department of Emergency Medicine, Washington, District of Columbia.
Fareen ZaverGeorge Washington University, Department of Emergency Medicine, Washington, District of Columbia.
George Washington University · USOregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAsynchronous online training has become an increasingly popular educational format in the new era of technology-based professional development. We sought to evaluate the impact of an online asynchronous training module on the ability of medical students and emergency medicine (EM) residents to detect electrocardiogram (ECG) abnormalities of an acute myocardial infarction (AMI).

methodsWe developed an online ECG training and testing module on AMI, with emphasis on recognizing ST elevation myocardial infarction (MI) and early activation of cardiac catheterization resources. Study participants included senior medical students and EM residents at all post-graduate levels rotating in our emergency department (ED). Participants were given a baseline set of ECGs for interpretation. This was followed by a brief interactive online training module on normal ECGs as well as abnormal ECGs representing an acute MI. Participants then underwent a post-test with a set of ECGs in which they had to interpret and decide appropriate intervention including catheterization lab activation.

results148 students and 35 EM residents participated in this training in the 2012-2013 academic year. Students and EM residents showed significant improvements in recognizing ECG abnormalities after taking the asynchronous online training module. The mean score on the testing module for students improved from 5.9 (95% CI [5.7-6.1]) to 7.3 (95% CI [7.1-7.5]), with a mean difference of 1.4 (95% CI [1.12-1.68]) (p<0.0001). The mean score for residents improved significantly from 6.5 (95% CI [6.2-6.9]) to 7.8 (95% CI [7.4-8.2]) (p<0.0001).

conclusionAn online interactive module of training improved the ability of medical students and EM residents to correctly recognize the ECG evidence of an acute MI.

Indexed as

Clinical CompetenceElectrocardiographyDistrict of ColumbiaEducation, Medical, UndergraduateEmergency MedicineFemaleHumansInternship and ResidencyMaleMultivariate AnalysisMyocardial InfarctionProspective StudiesRegression Analysis

Identifiers

PMID25671022
PMCPMC4307697
OpenAlexW1966688993

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.