Competencies in electrocardiographic interpretation in Medical Students at a Licensed University in Peru
Keywords:
cardiac arrhythmias, competency-Based Education, medical, myocardial infarction, students.Abstract
Introduction: The interpretation of the electrocardiogram is crucial in the diagnosis of myocardial infarction and ventricular and supraventricular arrhythmias, diseases that represent important medical emergencies.
Objetive: To determine the level of competence in ECG interpretation among medical students.
Methods: Observational, descriptive, cross-sectional study. A total of 180 medical students were surveyed. The study instrument contained a total of 20 items, which were grouped into 3 dimensions: basic competencies in electrocardiography, competencies in the recognition of myocardial infarction and competencies in the recognition of arrhythmias. Likewise, sociodemographic variables, age, gender, having a second health career, taking extracurricular courses in electrocardiography and the historical record of failed subjects were evaluated. Descriptive statistics and the chi-square test for associations were applied.
Results: Among the 180 students, the median and interquartile range of the evaluation was 9 ± 5. The dimensions of basic ECG competencies, myocardial infarction recognition, and arrhythmia recognition recorded values of 3 ± 2.75, 3 ± 2.00 y 3 ± 2.10, respectively. The frequency of approved was 64 (35.6%); the variables extracurricular training (p-value = 0.021) and second profession in health (p-value = 0.003) presented a statistically significant association with respect to the level of knowledge in electrocardiography.
Conclusions: Student´s level of competence in interpreting electrocardiograms may be inadequate when they have not completed extracurricular training or second professional careers in health.
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References
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2. Cortés H, Mendoza AJFN, Martinez YFR, López S, Sánchez A, Cortés F. Mejora de habilidades en la interpretación del electrocardiograma mediante un taller con simulación clínica [Internet]. EduMeCentro. 2020 [acceso: 02/03/2024]; 12(1):30-45. Disponible en: https://pesquisa.bvsalud.org/portal/resource/pt/biblio-1089997
3. Viljoen C, Millar R, Manning K, Burch V. Clinically contextualised ECG interpretation: the impact of prior clinical exposure and case vignettes on ECG diagnostic accuracy [Internet]. BMC Medical Education. 2021; 21(1):417 DOI: 10.1186/s12909-021-02854-x
4. Mann A, Cunningham J, Tumolo A, King C. Evaluating a Blended Learning Model for Medical Student ECG Teaching [Internet]. Southern Medical Journal. 2023; 116(2):57-61. DOI: 10.14423/SMJ.0000000000001496
5. Sharif SA, Elshami W, Alkhwaldi D, Saleh HM, Saleh K. Electrocardiogram Interpretation Competence and Confidence in Undergraduate Medical Students: A Cross-Sectional Study [Internet]. Journal of Contemporary Medical Education. 2022; 10(2):55-61. DOI: 10.5455/jcme.20220125085322
6. Jablonover RS, Lundberg E, Zhang Y, Stagnaro-Green A. Competency in electrocardiogram interpretation among graduating medical students [Internet]. Teach Learn Med. 2014; 26(3):279-84. DOI: 10.1080/10401334.2014.918882
7. Vishnevsky G, Cohen T, Elitzur Y, Reis S. Competency and confidence in ECG interpretation among medical students [Internet]. Int J Med Educ. 2022; 13:315-21. DOI: 10.5116/ijme.6372.2a55
8. Elsheikh E, Alkhteeb N, Alamer A. Medical Students' Competency and Confidence in Interpreting Electrocardiograms at King Faisal University, Al-Ahsa [Internet]. Cureus. 2022; 15(10):1-10. DOI: 10.7759/cureus.46393
9. Joseph R, Fenton J, Winchester D. Integrated ECG Interpretation Course for the Improvement of Medical Student Electrocardiography Literacy [Internet]. Med Sci Educ. 2022; 32(6):1351-4. DOI: 10.1007/s40670-022-01644-4
10. Serafi A, Abdulrahman O, Alharthi F, Alzahrani MM, Alotaibi N, Almatrafi M, et al. Electrocardiography interpretation competency among medical students in Umm Al-Qura University: A cross-sectional study [Internet]. Journal of Umm Al-Qura University for Medical Sciences. 2023; 9(1):71-7. DOI: 10.54940/ms99959743
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13. Keyvan A, Alireza M, Mirtohid H, Hamed Z, Islam A, Yagoob H, et al. Evaluación de la competencia de interpretación de electrocardiogramas entre profesiones de la salud y estudiantes de la Universidad de Ciencias Médicas de Ardabil: Un estudio multidisciplinario [Internet]. BMC Med Educ. 2022; 22:488. DOI: 10.1186/s12909-022-03518-0
14. Anculle-Arauco V, Krüger-Malpartida H, Arevalo-Flores M. Content validation using Aiken methodology through expert judgment of the first Spanish version of the Eppendorf Schizophrenia Inventory (ESI) in Peru: A brief qualitative report [Internet]. Rev Psiquiatr Salud Ment. 2023 [acceso: 02/03/2024]; 17(2):110-3. Disponible en: https://www.sciencedirect.com/science/article/pii/S1888989122001367
15. Ntumi S, Agbenyo S, Bulala T. Estimating the Psychometric Properties (Item Difficulty, Discrimination and Reliability Indices) of Test Itemsusing Kuder-Richardson Approach (KR-20) [Internet]. Shanlax International Journal of Education. 2023; 11(3):18. DOI: 10.34293/education.v11i3.6081
16. WMA - The World Medical Association. WMA Declaration of Taipei on Ethical Considerations regarding Health Databases and Biobanks [Internet]. 2023. [acceso: 02/03/2024]. Disponible en: https://www.wma.net/policies-post/wma-declaration-of-taipei-on-ethical-considerations-regarding-health-databases-and-biobanks/
17. Alanazi H, Ahmed A, Alsadi M. Competency differences in ECG interpretations between medical students, interns, and family residents [Internet]. Eur Heart J. 2020; 41(2):1-10. DOI: 10.1093/ehjci/ehaa946.0376
18. Ohn MH, Souza U, Ohn KM. A qualitative study on negative attitude toward electrocardiogram learning among undergraduate medical students [Internet]. Tzu Chi Med J. 2020; 32(4):392-7. DOI: 10.4103/tcmj.tcmj_91_19
19. Pourmand A, Tanski M, Davis S. Educational technology improves ECG interpretation of acute myocardial infarction among medical students and emergency medicine residents [Internet]. West J Emerg Med. 2015; 16(1):133-7. DOI: 10.5811/westjem.2014.12.23706
20. McEvoy MD, Dewaay DJ, Vanderbilt A. Are fourth-year medical students as prepared to manage unstable patients as they are to manage stable patients? [Internet]. Acad Med. 2014; 89(4):618-24. DOI: 10.1097/acm.0000000000000192
21. Dimitrios P, Kalafati M, Pliatsika P. Comparison of two teaching methods for cardiac arrhythmia interpretation among nursing students [Internet]. Resuscitation. 2014; 85(2):260-5. DOI: 10.1016/j.resuscitation.2013.09.023
22. Sullivan A, Mendis B, Kim J. Recognition and Management of Cardiac Arrhythmias: A Teaching Module for Physician Assistant Students [Internet]. GW Research Days 2016-2020. 2017. [acceso: 02/03/2024]. Disponible en: https://hsrc.himmelfarb.gwu.edu/gw_research_days/2017/SMHS/63/
Published
2024-11-16
How to Cite
1.
Peña-Corrales FA, Virú-Flores HM, Alburqueque-Melgarejo J, Guerra-Cuyutupac IA, Guerra-Valencia J, Aguirre-Coronado ME, et al. Competencies in electrocardiographic interpretation in Medical Students at a Licensed University in Peru. Rev Cubana Med Milit [Internet]. 2024 Nov. 16 [cited 2025 Apr. 25];53(4):e024060293. Available from: https://revmedmilitar.sld.cu/index.php/mil/article/view/60293
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