Evidence map›Paper›PMID 36463574›Full record

ArticleInternational journal of medical education2022

Competency and confidence in ECG interpretation among medical students.

Guy Vishnevsky, Tzuriel Cohen, Yair Elitzur, Shmuel Reis

Open access · diamondAbstract read
In one paragraph

Article in International journal of medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 19 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

4 authors at 1 institution in 1 country.

Guy Vishnevsky
Tzuriel Cohen
Yair ElitzurDepartment of Cardiology, Hadassah University Medical Center, Jerusalem, Israel.
Shmuel ReisCenter for Medical Education, Hebrew University, Hadassah Faculty of Medicine, Jerusalem, Israel.
Hadassah Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess competency and confidence in ECG interpretation in medical students across years of medical school and evaluate the associations of various factors, a curriculum change, and student confidence with ECG competency. Methods: Four hundred and fourteen (414) third- to sixth-year medical students participated in this cross-sectional study conducted in 2019 in the Hebrew University of Jerusalem, Israel. A voluntary response sample of participants answered a validated, web-based questionnaire, composed of eight ECG strips. Participants were also asked about confidence and sources for ECG education and exposure. Competency and confidence across medical school years were compared using the ANOVA and chi-square tests. Results: Competency was low overall (mean score, SD (standard deviation) 3.23±1.81 out of 8), and higher in sixth-year students compared to third-, fourth- and fifth-year students (4.37±1.69 vs. 2.90±1.82, 2.90±1.54, 2.50±1.56, respectively, F Conclusions: Student competency was shown to be insufficient throughout medical school. Competency and confidence in ECG interpretation seem to be significantly improved by increased and repetitive exposure to ECG. Thus, strategies to facilitate better ECG skills should involve an extended focus on ECG in the undergraduate and graduate curricula and include competency-based educational programs.

Indexed as

Students, MedicalCross-Sectional StudiesCurriculumElectrocardiographyHumansSchools, Medicalcompetencyconfidenceelectrocardiogram (ecg) interpretationisraelmedical students

Identifiers

PMID36463574
PMCPMC9911280
OpenAlexW4310773170

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.