Evaluation of a Novel Point-of-Care Ultrasound Curriculum for First-Year Pediatric Residents
Bibliographic record
Abstract
OBJECTIVE: The aim of the study is to evaluate a novel point-of-care ultrasound (POCUS) educational curriculum for pediatric residents. METHODS: The cohort study in graduate medical education was completed from January 2017 to March 2019. Postgraduate year 1 (PGY1) pediatric residents attended the educational curriculum that consisted of 3 half-day sessions over a 3-month period. Each session consisted of a lecture (introduction, extended focused assessment with sonography for trauma, soft tissue/musculoskeletal, cardiac, and resuscitative applications) followed by supervised hands-on scanning sessions. Group ratio was 3 learners to 1 machine/expert instructor. Main outcome measures included pre- and post-written test scores, as well as objective structured clinical examination (OSCE) scores. RESULTS: Forty-nine PGY1 residents (78% women) completed the curriculum. The mean (SD) pretest score was 68% (8.5), and the mean posttest score was 83% (8.3) with a difference of 15 (95% confidence interval, 12.5-17.6; P < 0.001). Mean (SD) focused assessment with sonography for trauma OSCE score after the curriculum was 88.7% (11.9). The number of PGY1 pediatric residents that were comfortable performing POCUS examinations increased from pretraining to posttraining for soft tissue/musculoskeletal (14%-61%, P < 0.001), extended focused assessment with sonography for trauma (24%-90%, P < 0.001), and cardiac (18%-86%, P < 0.001). All participants found the curriculum useful, and 42 of 49 (86%) stated the curriculum increased their ability to acquire and interpret images. CONCLUSIONS: Postgraduate year 1 pediatric residents learned the basics of POCUS through 3 brief educational sessions. The increase in posttest scores demonstrated improved POCUS knowledge, and the high OSCE score demonstrated their ability to acquire ultrasound images. Point-of-care ultrasound guidelines are needed for pediatric residency programs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".