Evidence map›Paper›PMID 25709515›Full record

ArticleAdvances in medical education and practice2015

New ideas for teaching electrocardiogram interpretation and improving classroom teaching content.

Rui Zeng, Rong-Zheng Yue, Chun-Yu Tan, Qin Wang, Pu Kuang, Pan-Wen Tian, Chuan Zuo

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Article in Advances in medical education and practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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13citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  7. Variability of expert assessments of ECG time domain parameters.European journal of anaesthesiology and intensive care · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Improving electrocardiogram interpretation skills for medical students.Advances in medical education and practice · 2017
    Article
  13. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Rui ZengDepartment of Cardiovascular Diseases, Sichuan University, Chengdu, People's Republic of China.
Rong-Zheng YueDepartment of Nephrology, Sichuan University, Chengdu, People's Republic of China.
Chun-Yu TanDepartment of Rheumatology and Immunology, Sichuan University, Chengdu, People's Republic of China.
Qin WangDepartment of Endocrinology, Sichuan University, Chengdu, People's Republic of China.
Pu KuangDepartment of Hematology, Sichuan University, Chengdu, People's Republic of China.
Pan-Wen TianDepartment of Respiratory Diseases, West China Hospital, School of Clinic Medicine, Sichuan University, Chengdu, People's Republic of China.
Chuan ZuoDepartment of Rheumatology and Immunology, Sichuan University, Chengdu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterpreting an electrocardiogram (ECG) is not only one of the most important parts of diagnostics but also one of the most difficult areas to teach. Owing to the abstract nature of the basic theoretical knowledge of the ECG, its scattered characteristics, and tedious and difficult-to-remember subject matter, teaching how to interpret ECGs is as difficult for teachers to teach as it is for students to learn. In order to enable medical students to master basic knowledge of ECG interpretation skills in a limited teaching time, we modified the content used for traditional ECG teaching and now propose a new ECG teaching method called the "graphics-sequence memory method."

methodsA prospective randomized controlled study was designed to measure the actual effectiveness of ECG learning by students. Two hundred students were randomly placed under a traditional teaching group and an innovative teaching group, with 100 participants in each group. The teachers in the traditional teaching group utilized the traditional teaching outline, whereas the teachers in the innovative teaching group received training in line with the proposed teaching method and syllabus. All the students took an examination in the final semester by analyzing 20 ECGs from real clinical cases and submitted their ECG reports.

resultsThe average ECG reading time was 32 minutes for the traditional teaching group and 18 minutes for the innovative teaching group. The average ECG accuracy results were 43% for the traditional teaching group and 77% for the innovative teaching group.

conclusionLearning to accurately interpret ECGs is an important skill in the cardiac discipline, but the ECG's mechanisms are intricate and the content is scattered. Textbooks tend to make the students feel confused owing to the restrictions of the length and the format of the syllabi, apart from many other limitations. The graphics-sequence memory method was found to be a useful method for ECG teaching.

Indexed as

classroom teaching contentECGgraphics-sequence memorynew ideas

Identifiers

PMID25709515
PMCPMC4329996

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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.