Program Directors Survey on the Impact of the COVID-19 Pandemic on Cardiology Fellowship Training.

Background: The COVID-19 pandemic catalyzed unprecedented changes to medical education, including CV fellowship programs. CV fellowship PDs offer a unique perspective regarding the impact of the pandemic on CV medical education. Objectives: The 4th annual Cardiovascular Diseases (CV) Fellowship Program Directors (PDs) Survey sought to understand the impact of the COVID-19 pandemic on CV fellows and fellowship programs. Methods: The survey contained 31 items examining the clinical, educational, and academic impact of the COVID-19 pandemic on CV fellowship programs. Results: Survey response rate was 54%. Most respondents (58%) represented university-based programs. Most PDs felt that changes to clinical practice during the COVID-19 negatively impacted fellow education in cardiac catheterization (66%), outpatient cardiology (52%), nuclear imaging (51%), and echocardiography (50%). Despite improving attendance, 75% of PDs felt that virtual educational conferences adversely impacted interaction between participants. Only 22% felt they improved fellow education. Most PDs (85%) reported a negative impact of the pandemic on fellow well-being and burnout, and 57% reported a decrease in research productivity among fellows. Even though virtual recruitment allowed programs to interview more competitive candidates, most PDs felt that virtual interviews adversely impacted interactions between their fellows and candidates (71%) and their ability to convey the culture of their program (60%). Conclusions: Most CV fellowship PDs felt the COVID-19 pandemic brought changes that negatively impacted the clinical training, didactic learning, academic productivity, and well-being among cardiology fellows. The implications of these changes on the competency of cardiologists that trained during the COVID-19 pandemic deserve future study.

Perceptions of Justice in Clinical Learning Environments: Development and Validation of an Organizational Justice Measure for Medical Trainees.

PURPOSE: This study aimed to develop an instrument to measure medical trainees' perceptions of justice in clinical learning environments. METHOD: Between 2019 and 2023, the authors conducted a multiyear, multi-institutional, multiphase study to develop a 16-item justice measure with 4 dimensions: interpersonal, informational, procedural, and distributive. The authors gathered validity evidence based on test content, internal structure, and relationships with other variables across 3 phases. Phase 1 involved drafting items and gathering evidence that items measured intended dimensions. Phase 2 involved analyzing relevance of items for target groups, examining interitem correlations and factor loadings in a preliminary analysis, and obtaining reliability estimates. Phase 3 involved a confirmatory factor analysis and collecting convergent and discriminant validity evidence. RESULTS: In phase 1, 63 of 91 draft items were retained following a content validation exercise gauging how well items measured targeted dimensions (mean [SD] item ratings within dimensions, 4.16 [0.36] to 4.39 [0.34]) on a 5-point Likert scale (with 1 indicating not at all well and 5 indicating extremely well). In phase 2, 30 items were removed due to low factor loadings (i.e., < 0.40), and 4 items per dimension were selected (factor loadings, 0.42-0.89). In phase 3, a confirmatory factor analysis supported the 4-dimension model (χ2 = 610.14, P < .001; comparative fit index = 0.90, Tucker-Lewis Index = 0.87, root mean squared error of approximation = 0.11, standardized root mean squared residual = 0.06), with convergent and discriminant validity evidence showing hypothesized positive correlations with a justice measure (r = 0.93, P < .001), trait positive affect (r = 0.46, P < .001), and emotional stability (r = 0.33, P < .001) and negative correlations with trait negative affect (r = -0.39, P < .001). CONCLUSIONS: Results indicate the measure's potential utility in understanding justice perceptions and designing targeted interventions.

EDUCATE: An international, randomized controlled trial for teaching electrocardiography.

INTRODUCTION: Despite the critical role of electrocardiograms (ECGs) in patient care, evident gaps exist in ECG interpretation competency among healthcare professionals across various medical disciplines and training levels. Currently, no practical, evidence-based, and easily accessible ECG learning solution is available for healthcare professionals. The aim of this study was to assess the effectiveness of web-based, learner-directed interventions in improving ECG interpretation skills in a diverse group of healthcare professionals. METHODS: In an international, prospective, randomized controlled trial, 1206 healthcare professionals from various disciplines and training levels were enrolled. They underwent a pre-intervention test featuring 30 12-lead ECGs with common urgent and non-urgent findings. Participants were randomly assigned to four groups: (i) practice ECG interpretation question bank (question bank), (ii) lecture-based learning resource (lectures), (iii) hybrid question- and lecture-based learning resource (hybrid), or (iv) no ECG learning resources (control). After four months, a post-intervention test was administered. The primary outcome was the overall change in ECG interpretation performance, with secondary outcomes including changes in interpretation time, self-reported confidence, and accuracy for specific ECG findings. Both unadjusted and adjusted scores were used for performance assessment. RESULTS: Among 1206 participants, 863 (72 %) completed the trial. Following the intervention, the question bank, lectures, and hybrid intervention groups each exhibited significant improvements, with average unadjusted score increases of 11.4 % (95 % CI, 9.1 to 13.7; P<0.01), 9.8 % (95 % CI, 7.8 to 11.9; P<0.01), and 11.0 % (95 % CI, 9.2 to 12.9; P<0.01), respectively. In contrast, the control group demonstrated a non-significant improvement of 0.8 % (95 % CI, -1.2 to 2.8; P=0.54). While no differences were observed among intervention groups, all outperformed the control group significantly (P<0.01). Intervention groups also excelled in adjusted scores, confidence, and proficiency for specific ECG findings. CONCLUSION: Web-based, self-directed interventions markedly enhanced ECG interpretation skills across a diverse range of healthcare professionals, providing an accessible and evidence-based solution.