4 Educational Impact of Targeted Neonatal Echocardiography (TNE) on Neonatal-Perinatal Medicine (NPM) Subspecialty Residents
Bibliographic record
Abstract
Abstract Primary Subject area Neonatal-Perinatal Medicine Background Targeted Neonatal Echocardiography (TNE) is a real-time cardiac imaging modality used by neonatologists who have completed a minimum of one-year training in cardiovascular physiology and imaging methodology, to optimize management of neonatal cardiorespiratory compromise. TNE is provided as a clinical service, to aid in diagnosis, treatment, and monitoring of neonatal cardiovascular illness. Potential impacts of TNE on trainee education are unknown. Objectives This study aimed to describe trainees’ perspectives on existing neonatal hemodynamics education and perceived impacts of TNE on their education. Design/Methods This was a mixed quantitative and qualitative study that surveyed NPM subspecialty residents in Canada and the United States of America (USA), at centres both with and without TNE. Survey questions sought to explore current perspectives on cardiac and hemodynamics curriculum in training programs. Results 92 residents responded to the survey, of whom 24 (26%) were enrolled in a program with an active TNE service, 64 (70%) were training at a non-TNE centre, and 4 (4%) were unsure. Trainees at TNE centres were more satisfied with their overall hemodynamics training (91% vs. 69%, p=0.040; Table 1). 25% of all trainees felt they do not have sufficient hemodynamics training to prepare them for independent practice. On analysis of curriculum content, cardiac development, myocardial functioning in prematurity, and cardiac mechanics emerged as areas of knowledge gaps among all residents (Table 2). TNE centre trainees reported that bedside TNE teaching offers immediate insights into how patients respond to management decisions, while didactic TNE teaching allows for learning at a slower pace, with appropriate knowledge consolidation. Only 9% of respondents at TNE sites reported a formal process of hemodynamics review between clinical and TNE teams. 90% of respondents believed that a TNE service would positively impact their hemodynamics education by improvement in knowledge of cardiovascular physiology and management decisions. Conclusion Most trainees believed that TNE may be a valuable educational tool, with current perceived satisfaction with overall hemodynamics training higher among residents training at TNE centres. 25% of all trainees felt unprepared for transitioning to independent practice. Hence, thoughtful curriculum design for real-time and consolidation learning, with specific emphasis on content gaps, as well as working toward a formal process of hemodynamics review, should be considered.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".