Improving ECG Competence in Medical Trainees in a UK District General Hospital

A Comparative Study of Case-Based Learning (CBL) Versus the Traditional Teaching Method for Enhanced Analysis and Interpretation of Electrocardiogram (ECG) Among Medical Students

Background and objective Learning electrocardiogram (ECG) analysis and interpretation is essential for medical students, but traditional didactic learning (TDL) methods often fall short. This study explores case-based learning (CBL), which immerses students in real-world scenarios and compares its effectiveness to traditional methods for enhancing ECG skills among medical students.  Materials and methods This prospective educational interventional study included the phase III part II Bachelor of Medicine and Bachelor of Surgery (MBBS) students conducted from February 2024 to October 2024 at C. U. Shah Medical College, Surendranagar, India. After obtaining ethical approval, students were divided into two equal groups using simple random sampling. In the first session, Group A was taught ECG rhythm abnormalities via CBL, while Group B was taught via TDL. In the second session, Group A was taught ECG waveform abnormalities via TDL, while Group B was taught CBL. Pre- and post-assessment multiple-choice question (MCQ) tests were conducted, along with student and faculty feedback collected using a five-point Likert scale to compare CBL and TDL. Results Statistical analysis shows higher immediate post-test scores with CBL than TDL, supported by highly significant p-values. The students who have taught with CBL have retained significantly higher ECG competence, supported by higher mean scores in delayed assessment tests than those who taught TDL. Both students and teachers perceive CBL positively, indicating it enhances academic performance and is well-received. Conclusion CBL is significantly more effective than TDL in improving the understanding of rhythm and waveform ECG abnormalities. Incorporating CBL into medical education is recommended to enhance learning outcomes, especially in complex areas like rhythm and waveform ECG abnormalities.

Utility of RAND/UCLA appropriateness method in validating multiple-choice questions on ECG

OBJECTIVES

This study aimed to investigate the utility of the RAND/UCLA appropriateness method (RAM) in validating expert consensus-based multiple-choice questions (MCQs) on electrocardiogram (ECG).

METHODS

According to the RAM user's manual, nine panelists comprising various experts who routinely handle ECGs were asked to reach a consensus in three phases: a preparatory phase (round 0), an online test phase (round 1), and a face-to-face expert panel meeting (round 2). In round 0, the objectives and future timeline of the study were elucidated to the nine expert panelists with a summary of relevant literature. In round 1, 100 ECG questions prepared by two skilled cardiologists were answered, and the success rate was calculated by dividing the number of correct answers by 9. Furthermore, the questions were stratified into "Appropriate," "Discussion," or "Inappropriate" according to the median score and interquartile range (IQR) of appropriateness rating by nine panelists. In round 2, the validity of the 100 ECG questions was discussed in an expert panel meeting according to the results of round 1 and finally reassessed as "Appropriate," "Candidate," "Revision," and "Defer."

RESULTS

In round 1 results, the average success rate of the nine experts was 0.89. Using the median score and IQR, 54 questions were classified as " Discussion." In the expert panel meeting in round 2, 23% of the original 100 questions was ultimately deemed inappropriate, although they had been prepared by two skilled cardiologists. Most of the 46 questions categorized as "Appropriate" using the median score and IQR in round 1 were considered "Appropriate" even after round 2 (44/46, 95.7%).

CONCLUSIONS

The use of the median score and IQR allowed for a more objective determination of question validity. The RAM may help select appropriate questions, contributing to the preparation of higher-quality tests.

The Effectiveness of Online Learning in Improving the Electrocardiogram Interpretation Skills of Junior Medical Trainees: A Mixed Methods Observational Study

Introduction The COVID-19 pandemic hindered medical education and limited access to clinical skills training for trainee medical doctors, including electrocardiogram (ECG) interpretation. These restrictions prompted a shift towards virtual training environments and online learning. In this study, we assessed the impact of the pandemic on trainees' confidence and their perceived difficulty in independently interpreting ECGs. Additionally, we examined the effectiveness of two online learning approaches, namely lectures and case-solving webinars, in improving their skills. Methods The study was a mixed methods observational study conducted in three phases. In the first phase, a cross-sectional study was conducted to subjectively assess the trainees' confidence levels and the perceived difficulty independently reading ECGs. The second phase involved a cohort study where an online learning module consisting of eight lecture-based sessions was implemented. This module covered all the topics recommended in the foundation doctor training curriculum. The third phase also involved a cohort study where an online case-based discussion learning module with two problem-solving webinars was introduced. We assessed the outcomes on a 1 to 10 Likert scale for confidence and perceived difficulty in independently reading ECGs. Results Sixty-five trainees participated in the initial cross-sectional study. Among them, 100% of the participants reported substantial difficulty in interpreting ECGs (scoring 6 or more on the Likert scale), and 76.5% of the participants did not feel enough confidence to read ECGs independently (scoring 6 or less). Ten trainees attended the second phase. Online lectures significantly increased the mean confidence score by 1.9 points (t(9) = 2.82, p = 0.02, 95% confidence interval (CI) [0.38-3.42]) and significantly reduced the mean of the perceived difficulty score by 2.7 points (t(9) = 5.71, p < 0.001, 95% CI [1.63-3.77]). Compared to the online lectures, the online problem-solving sessions significantly increased the mean of the composite score of confidence and perceived difficulty in reading ECGs (-0.8 vs. 4 points, 95% CI [1.49, 8.26], p = 0.011). Conclusion The COVID-19 pandemic negatively affected the ECG reading skills of junior medical trainees. However, the online teaching approach effectively improved their confidence and the level of difficulty they experienced in ECG interpretation. Applying online case problem-solving was found to be superior to the lecture-based approach in enhancing these parameters.

Comparing the effectiveness of asynchronous e-modules and didactic lectures to teach electrocardiogram interpretation to first year US medical students

BACKGROUND

Medical students are expected to be competent in interpreting electrocardiograms (ECGs) by the time they graduate, but many are unable to master this skill. Studies suggest that e-modules are an effective way to teach ECG interpretation, however they are typically evaluated for use during clinical clerkships. We sought to determine if an e-module could replace a didactic lecture to teach ECG interpretation during a preclinical cardiology course.

METHODS

We developed an asynchronous, interactive e-module that consisted of narrated videos, pop-up questions and quizzes with feedback. Participants were first year medical students who were either taught ECG interpretation during a 2-hour didactic lecture (control group) or were given unlimited access to the e-module (e-module group). First-year internal medicine residents (PGY1 group) were included to benchmark where ECG interpretation skills should be at graduation. At three time-points (pre-course, post-course, and 1-year follow-up), participants were evaluated for ECG knowledge and confidence. A mixed-ANOVA was used to compare groups over time. Students were also asked to describe what additional resources they used to learn ECG interpretation throughout the study.

RESULTS

Data was available for 73 (54%) students in the control group, 112 (81%) in the e-module group and 47 (71%) in the PGY1 group. Pre-course scores did not differ between the control and e-module groups (39% vs. 38%, respectively). However, the e-module group performed significantly better than the control group on the post-course test (78% vs. 66%). In a subsample with 1-year follow-up data, the e-module group's performance decreased, and the control group remained the same. The PGY1 groups' knowledge scores were stable over time. Confidence in both medical student groups increased by the end of the course, however only pre-course knowledge and confidence were significantly correlated. Most students relied on textbooks and course materials for learning ECG, however online resources were also utilized.

CONCLUSIONS

An asynchronous, interactive e-module was more effective than a didactic lecture for teaching ECG interpretation, however continued practice is needed regardless of how students learn to interpret ECGs. Various ECG resources are available to students to support their self-regulated learning.

Electrocardiogram Interpretation Competency of Medical Interns in Saudi Arabia: A Cross-Sectional Study

Objective To determine the competence of medical interns in Saudi Arabia in interpreting common ECG abnormalities, explore limitations, and facilitate solutions to the development of ECG interpretation skills in Saudi Arabia. Methods This cross-sectional study was conducted from 11 June 2022 to 3 November 2022 using the convenience stratified sampling technique among 373 medical interns (54.4% male and 45.6% female) in 15 medical colleges within Saudi Arabia. Results Almost all (91.7%) of the participants recognized the basic ECG elements, as they correctly identified normal ECG patterns. The most well-understood ECG pathologies were ventricular fibrillation, atrial fibrillation, and acute myocardial infarction, which were accurately interpreted by 69.2%, 67.8%, and 61.9% of the participants, respectively. The least understood ECG result was a pathological Q wave, which only 20.9% recognized. Most (63.5%) participants attributed their challenges in ECG interpretation to their inadequate training in college, and 57.4% of them stated that practical case-based training could best facilitate the improvement of their skills in ECG interpretation. Conclusion Most of the participants showed unsatisfactory performance in ECG interpretation. Despite their completion of advanced cardiac life support courses, their overall performance did not improve significantly. Most of them believed that their colleges did not adequately train them to read ECGs. Thus, a majority think case-based training is a key strategy for improving their ECG interpretation skills.

Surfing the clinical trials of ECG teaching to medical students: A systematic review

Interpreting an electrocardiogram (ECG) is crucial for every physician. The physician's competency in ECG interpretation needs to be improved at any stage of medical education. The aim of the present study was to review the currently published clinical trials of ECG teaching to medical students and provide suggestions for future works. On May 1, 2022, PubMed, Scopus, Web of Science, Google Scholar, and ERIC were searched to retrieve relevant articles on clinical trials of ECG teaching to medical students. The quality of the included studies was assessed utilizing the Buckley et al. criteria. The screening, data extraction, and quality appraisal processes were duplicated independently. In case of disagreements, consultation with a third author was put forth. In total, 861 citations were found in the databases. After screening abstracts and full texts, 23 studies were deemed eligible. The majority of the studies were of good quality. Peer teaching (7 studies), self-directed learning (6 studies), web-based learning (10 studies), and various assessment modalities (3 studies) comprised the key themes of the studies. Various methods of ECG teaching were encountered in the reviewed studies. Future studies in ECG training should focus on novel and creative teaching methods, the extent to which self-directed learning can be effective, the utility of peer teaching, and the implications of computer-assisted ECG interpretation (e.g., artificial intelligence) for medical students. Long-term knowledge retention assessment studies based on different approaches integrated with clinical outcomes could be beneficial in determining the most efficient modalities.

Determining the clinical significance of computer interpreted electrocardiography conclusions

BACKGROUND

Computerized electrocardiogram (EKG) interpretation technology was developed in the mid-20th century, but its use continues to be controversial. This study aims to determine clinical factors which indicate greater odds of clinical significance of an abnormal computerized EKG interpretation.

METHODS

The inclusion criteria for this retrospective study were patients who underwent outpatient echocardiography for the indication of an abnormal EKG and had an EKG abnormality diagnosed by the computerized EKG system. Qualifying patients had the results of their computerized EKG, echocardiogram, and charted patient characteristics collected. Computerized diagnoses and patient characteristics were assessed to determine if they were associated with increasing or decreasing the odds of an echocardiographic abnormality via logistic regression. Chi-square and t-test analyses were used for categorical and continuous variables, respectively. Odds ratios are presented as odds ratio [95% confidence interval]. A P-value of ≤ 0.05 was considered statistically significant.

RESULTS

A total of 515 patients were included in this study. The population was 59% women with an average age of 57 ± 16 years, and a mean BMI of 30.1 ± 7.3 kg/m². Patients with echocardiographic abnormalities tended to have more cardiac risk factors than patients without abnormalities. In our final odds ratio model consisting of both patient characteristics and EKG diagnoses, age, coronary disease (CAD), and diabetes mellitus (DM) increased the odds of an echocardiographic abnormality (1.04 [1.02-1.06], 2.68 [1.41-5.09], and 1.75 [1.01-3.04], respectively). That model noted low QRS voltage decreased the odds of an abnormal echocardiogram (0.31 [0.10-0.91]).

CONCLUSION

Our findings suggest that in patients with an abnormal computerized EKG reading, the specific factors of older age, CAD, and DM are associated with higher odds of abnormalities on follow-up echocardiography. These results, plus practitioner overreading, can be used to determine more appropriate management when faced with an abnormal computerized EKG diagnosis.

Effectiveness of blended learning versus lectures alone on ECG analysis and interpretation by medical students

BACKGROUND

Most medical students lack confidence and are unable to accurately interpret ECGs. Thus, better methods of ECG instruction are being sought. Current literature indicates that the use of e-learning for ECG analysis and interpretation skills (ECG competence) is not superior to lecture-based teaching. We aimed to assess whether blended learning (lectures supplemented with the use of a web application) resulted in better acquisition and retention of ECG competence in medical students, compared to conventional teaching (lectures alone).

METHODS

Two cohorts of fourth-year medical students were studied prospectively. The conventional teaching cohort (n = 67) attended 4 hours of interactive lectures, covering the basic principles of Electrocardiography, waveform abnormalities and arrhythmias. In addition to attending the same lectures, the blended learning cohort (n = 64) used a web application that facilitated deliberate practice of systematic ECG analysis and interpretation, with immediate feedback. All participants completed three tests: pre-intervention (assessing baseline ECG competence at start of clinical clerkship), immediate post-intervention (assessing acquisition of ECG competence at end of six-week clinical clerkship) and delayed post-intervention (assessing retention of ECG competence 6 months after clinical clerkship, without any further ECG training). Diagnostic accuracy and uncertainty were assessed in each test.

RESULTS

The pre-intervention test scores were similar for blended learning and conventional teaching cohorts (mean 31.02 ± 13.19% versus 31.23 ± 11.52% respectively, p = 0.917). While all students demonstrated meaningful improvement in ECG competence after teaching, blended learning was associated with significantly better scores, compared to conventional teaching, in immediate (75.27 ± 16.22% vs 50.27 ± 17.10%, p <  0.001; Cohen's d = 1.58), and delayed post-intervention tests (57.70 ± 18.54% vs 37.63 ± 16.35%, p <  0.001; Cohen's d = 1.25). Although diagnostic uncertainty decreased after ECG training in both cohorts, blended learning was associated with better confidence in ECG analysis and interpretation.

CONCLUSION

Blended learning achieved significantly better levels of ECG competence and confidence amongst medical students than conventional ECG teaching did. Although medical students underwent significant attrition of ECG competence without ongoing training, blended learning also resulted in better retention of ECG competence than conventional teaching. Web applications encouraging a stepwise approach to ECG analysis and enabling deliberate practice with feedback may, therefore, be a useful adjunct to lectures for teaching Electrocardiography.

Determining electrocardiography training priorities for medical students using a modified Delphi method

BACKGROUND

Although electrocardiography is considered a core learning outcome for medical students, there is currently little curricular guidance for undergraduate ECG training. Owing to the absence of expert consensus on undergraduate ECG teaching, curricular content is subject to individual opinion. The aim of this modified Delphi study was to establish expert consensus amongst content and context experts on an ECG curriculum for medical students.

METHODS

The Delphi technique, an established method of obtaining consensus, was used to develop an undergraduate ECG curriculum. Specialists involved in ECG teaching were invited to complete three rounds of online surveys. An undergraduate ECG curriculum was formulated from the topics of ECG instruction for which consensus (i.e. ≥75% agreement) was achieved.

RESULTS

The panellists (n = 131) had a wide range of expertise (42.8% Internal Medicine, 22.9% Cardiology, 16% Family Medicine, 13.7% Emergency Medicine and 4.6% Health Professions Education). Topics that reached consensus to be included in the undergraduate ECG curriculum were classified under technical aspects of performing ECGs, basic ECG analysis, recognition of the normal ECG and abnormal rhythms and waveforms and using electrocardiography as part of a clinical diagnosis. This study emphasises that ECG teaching should be framed within the clinical context. Course conveners should not overload students with complex and voluminous content, but rather focus on commonly encountered and life-threatening conditions, where accurate diagnosis impacts on patient outcome. A list of 23 "must know" ECG diagnoses is therefore proposed.

CONCLUSION

A multidisciplinary expert panel reached consensus on the ECG training priorities for medical students.

A qualitative study on negative attitude toward electrocardiogram learning among undergraduate medical students

Objective:

Negative affect state toward learning has a substantial impact on the learning process, academic performance, and practice of a particular subject, but such attitude toward electrocardiogram (ECG) learning has still received relatively little attention in medical education research. In spite of the significant emphasis in investigating ECG teaching method, the educators would not be able to address ECG incompetency without understanding the negative perception and attitude toward ECG learning. The purpose of this study was to assess the undergraduate students' difficulties in ECG learning and hence help educators design appropriate ECG learning curriculum to instill competent skill in ECG interpretation based on this outcome.

Materials and Methods:

A total of 324 undergraduate preclinical (year 2) and clinical (year 3–5) medical students participated in this study. The research design used thematic analysis of an open-ended questionnaire to analyze the qualitative data.

Results:

The thematic analysis detected five major emergent themes: lack of remembering (18.2%), lack of understanding (28.4%), difficulty in applying (3.6%), difficulty in analysis (15.1%), and difficulty in interpretation (17.8%), of which addressing these challenges could be taken as a foundation step upon which medical educators put an emphasis on in order to improve ECG teaching and learning.

Conclusion:

Negative attitude toward ECG learning poses a serious threat to acquire competency in ECG interpretation skill. The concept of student's memorizing ECG is not a correct approach; instead, understanding the concept and vector analysis is an elementary key for mastering ECG interpretation skill. The finding of this study sheds light into a better understanding of medical students' deficient points of ECG learning in parallel with taxonomy of cognitive domain and enables the medical teachers to come up with effective and innovative strategies for innovative ECG learning in an undergraduate medical curriculum.

Electrocardiography Interpretation Competency of Medical Interns: Experience from Two Ethiopian Medical Schools

Background

Electrocardiography (ECG) is the graphical display of electrical potential differences of an electric field originating in the heart. Interpretation of ECG is a core clinical skill in the department of emergency medicine. The main aim of this survey was to assess competency of ECG interpretation among 2018 graduating class medical students in Addis Ababa University and Haramaya University. Methodology. A cross-sectional survey was conducted on medical interns at Addis Ababa University and Haramaya University. Data had been collected from October 01, 2018, to October 30, 2018, by using structured questionnaires. Data were entered, cleaned, edited, and analyzed by using SPSS version 25.0 statistical software. Descriptive statistics, cross-tabs, chi-squared test, Mann–Whitney U test, and binary logistic regression were utilized.

Results

Two-hundred and two graduating medical students were involved on this survey, out of which 61.3% (95% CI 56.3–66.3%) and 32.75% (95% CI 28.25–37.25) were able to correctly interpret the primary ECG parameters and the arrest rhythm of ECG abnormalities, respectively. The ability to detect from common emergency ECG abnormalities of anterioseptal ST segment elevation myocardial infraction, atrial fibrillation, and first-degree atrioventricular block was 42.6%, 39.1%, and 32.1%, respectively.

Conclusion

This survey showed graduating medical students had low competency in ECG interpretations.

Is computer-assisted instruction more effective than other educational methods in achieving ECG competence amongst medical students and residents? A systematic review and meta-analysis

OBJECTIVES

It remains unclear whether computer-assisted instruction (CAI) is more effective than other teaching methods in acquiring and retaining ECG competence among medical students and residents.

DESIGN

This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

DATA SOURCES

Electronic literature searches of PubMed, databases via EBSCOhost, Scopus, Web of Science, Google Scholar and grey literature were conducted on 28 November 2017. We subsequently reviewed the citation indexes for articles identified by the search.

ELIGIBILITY CRITERIA

Studies were included if a comparative research design was used to evaluate the efficacy of CAI versus other methods of ECG instruction, as determined by the acquisition and/or retention of ECG competence of medical students and/or residents.

DATA EXTRACTION AND SYNTHESIS

Two reviewers independently extracted data from all eligible studies and assessed the risk of bias. After duplicates were removed, 559 papers were screened. Thirteen studies met the eligibility criteria. Eight studies reported sufficient data to be included in the meta-analysis.

RESULTS

In all studies, CAI was compared with face-to-face ECG instruction. There was a wide range of computer-assisted and face-to-face teaching methods. Overall, the meta-analysis found no significant difference in acquired ECG competence between those who received computer-assisted or face-to-face instruction. However, subanalyses showed that CAI in a blended learning context was better than face-to-face teaching alone, especially if trainees had unlimited access to teaching materials and/or deliberate practice with feedback. There was no conclusive evidence that CAI was better than face-to-face teaching for longer-term retention of ECG competence.

CONCLUSION

CAI was not better than face-to-face ECG teaching. However, this meta-analysis was constrained by significant heterogeneity amongst studies. Nevertheless, the finding that blended learning is more effective than face-to-face ECG teaching is important in the era of increased implementation of e-learning.

PROSPERO REGISTRATION NUMBER

CRD42017067054.

Is computer-assisted instruction more effective than other educational methods in achieving ECG competence among medical students and residents? Protocol for a systematic review and meta-analysis

INTRODUCTION

Although ECG interpretation is an essential skill in clinical medicine, medical students and residents often lack ECG competence. Novel teaching methods are increasingly being implemented and investigated to improve ECG training. Computer-assisted instruction is one such method under investigation; however, its efficacy in achieving better ECG competence among medical students and residents remains uncertain.

METHODS AND ANALYSIS

This article describes the protocol for a systematic review and meta-analysis that will compare the effectiveness of computer-assisted instruction with other teaching methods used for the ECG training of medical students and residents. Only studies with a comparative research design will be considered. Articles will be searched for in electronic databases (PubMed, Scopus, Web of Science, Academic Search Premier, CINAHL, PsycINFO, Education Resources Information Center, Africa-Wide Information and Teacher Reference Center). In addition, we will review citation indexes and conduct a grey literature search. Data extraction will be done on articles that met the predefined eligibility criteria. A descriptive analysis of the different teaching modalities will be provided and their educational impact will be assessed in terms of effect size and the modified version of Kirkpatrick framework for the evaluation of educational interventions. This systematic review aims to provide evidence as to whether computer-assisted instruction is an effective teaching modality for ECG training. It is hoped that the information garnered from this systematic review will assist in future curricular development and improve ECG training.

ETHICS AND DISSEMINATION

As this research is a systematic review of published literature, ethical approval is not required. The results will be reported according to the Preferred Reporting Items for Systematic Review and Meta-Analysis statement and will be submitted to a peer-reviewed journal. The protocol and systematic review will be included in a PhD dissertation.

PROSPERO REGISTRATION NUMBER

CRD42017067054; Pre-results.