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Proposed In-Training Electrocardiogram Interpretation Competencies for Undergraduate and Postgraduate Trainees

Journal of Hospital Medicine 13(3). 2018 March;185-193. Published online first November 8, 2017 | 10.12788/jhm.2876

Despite its importance in everyday clinical practice, the ability of physicians to interpret electrocardiograms (ECGs) is highly variable. ECG patterns are often misdiagnosed, and electrocardiographic emergencies are frequently missed, leading to adverse patient outcomes. Currently, many medical education programs lack an organized curriculum and competency assessment to ensure trainees master this essential skill. ECG patterns that were previously mentioned in literature were organized into groups from A to D based on their clinical importance and distributed among levels of training. Incremental versions of this organization were circulated among members of the International Society of Electrocardiology and the International Society of Holter and Noninvasive Electrocardiology until complete consensus was reached. We present reasonably attainable ECG interpretation competencies for undergraduate and postgraduate trainees. Previous literature suggests that methods of teaching ECG interpretation are less important and can be selected based on the available resources of each education program and student preference. The evidence clearly favors summative trainee evaluation methods, which would facilitate learning and ensure that appropriate competencies are acquired. Resources should be allocated to ensure that every trainee reaches their training milestones and should ensure that no electrocardiographic emergency (class A condition) is ever missed. We hope that these guidelines will inform medical education programs and encourage them to allocate sufficient resources and develop organized curricula. Assessments must be in place to ensure trainees acquire the level-appropriate ECG interpretation skills that are required for safe clinical practice.

© 2018 Society of Hospital Medicine

Class B: Common Nonemergency Patterns

Class B patterns represent common findings that are seen on a daily basis that may impact patient care in a clinically appropriate context. Diagnoses in this section were divided into “tachycardia syndromes,” “bradycardia syndromes,” “conduction abnormalities,” “ischemia,” and “other.”

Undergraduate trainees should become proficient in identifying the cause of bradycardia and distinguishing types of AV blocks. Similarly, they should also have an approach to differentiate tachycardia syndromes.33,34 These skills are required to correctly manage patients in both inpatient and outpatient settings. They should be taught in undergraduate programs and reinforced in postgraduate training.

Common findings, such as bundle branch blocks, left anterior fascicular block, premature ventricular/atrial complexes, electronic pacemakers, and left ventricular hypertrophy, are essential to the daily interpretation of ECGs. Junior learners should be proficient in recognizing these patterns. Findings consistent with pericarditis are not uncommon and can be very helpful to guide the clinician to the diagnosis. Notable exceptions from the medical student competency list include detection of lead misplacement, common artifacts, nonspecific intraventricular conduction delay, interatrial block, and benign early repolarization. These findings require a deeper understanding of electrocardiography and would be more appropriate for senior learners.

Class C: Uncommon Electrocardiographic Emergencies

Class C findings represent uncommon conditions that, if recognized, can prevent serious adverse patient outcomes. These include preexcitation, STEMI with preexisting left bundle branch block sinus pauses, Brugada pattern, hypothermia, effects of toxic drugs, ventricular aneurysm, and right ventricular hypertrophy. The recognition of these patterns is crucial to avoid severe adverse patient outcomes, and independent practicing physicians should be aware of these findings. However, given that a high proportion of senior medical students miss common electrocardiographic emergencies, undergraduate medical education programs should instead focus resources on ensuring medical students are proficient in identifying class A and class B conditions.6,8-10 Postgraduate programs should ensure that postgraduate trainees can identify these potentially life-threatening conditions (see section “How to Teach Electrocardiology”).

Class D: Uncommon and Nonemergency Patterns

Class D findings represent less common findings that are not seen every day and do not require urgent medical attention. These include right atrial abnormality, left posterior fascicular block, low atrial rhythms, and electrolyte abnormalities that exclude potassium. Notably, electrolyte abnormalities are important to identify; however, typically, treatment is guided by the lab results.35 Overall, postgraduate trainees should certainly be aware of these findings, but medical student training should instead focus on learning the framework and correctly identifying class A and class B ECG patterns.

HOW TO TEACH ELECTROCARDIOLOGY

Teaching ECG Interpretation Strategies

No clear teaching approaches to ECG interpretation have been described in the literature, and no recommendations on knowledge translation have been formally explored. A possible educational approach to the teaching of electrocardiology could involve several methods for helping students with ECG interpretation:36

1. Pattern recognition: The ECG, at its most immediate level, is a graphic image, and recognition of images is essentially recognition of patterns. These patterns can only be learned through repeated visualization of examples with a written or verbal explanation. Repeated visualization over time will help avoid “erosion” of knowledge. Examples of learning tools include periodic in-person ECG rounds, well-illustrated books or atlases, and online tools with good quality ECGs and explanations. These learning opportunities are strongly reinforced by collecting cases from the clinical encounters of the trainee that illustrate the aforementioned patterns. Some of these patterns can be found in guidelines, such as the one published by the AHA and ACC.29

2. Application of published criteria: Guidelines, review papers, and books offer diagnostic criteria for many entities, such as chamber enlargement, bundle branch blocks, and abnormal Q waves. Learning these criteria and applying them to the analysis of ECGs is a commonly used learning strategy.

3. Inductive-deductive reasoning: This strategy requires a deeper understanding of the pathophysiology behind ECG patterns. It requires ECGs to be interpreted in a certain clinical context, and the goal of ECG interpretation is to answer a clinical question that is used to guide patient care. This strategy typically employs the use of algorithms to lead the interpreter to the correct diagnosis, and mastery of this skill grows from ongoing clinical experience. Examples of the “inductive-deductive reasoning” are localizing an accessory AV pathway, the differential diagnosis of narrow or wide complex tachycardias, and identifying the site of coronary artery occlusion in a patient with a STEMI.

4. Ladder diagrams: Ladder diagrams have been used for over 100 years to graphically illustrate the mechanism of arrhythmias. They can be incredibly useful to help learners visualize impulse conduction in reentry mechanisms as well as other abnormal rhythms. However, there are some rhythms that are difficult to illustrate on ladder diagrams.37

5. Peer and near-peer teaching: Peer teaching occurs when learners prepare and deliver teaching material to learners of a similar training level. The expectation to deliver a teaching session encourages students to learn and organize information in thoughtful ways. It builds strong teamwork skills and has been shown to positively affect all involved learners.38-40