Core Content for Pediatric Emergency Medicine Ultrasound Fellowship Training: A Modified Delphi Consensus Study
Bibliographic record
Abstract
BACKGROUND: Pediatric emergency medicine (PEM) point-of-care ultrasound (POCUS) fellowships exist to provide learners with expertise in ultrasound (US) education, administration, and research oversight. Currently, there are no standardized goals or objectives for these programs, resulting in considerable variability in PEM POCUS fellowship training. METHODS: A modified Delphi survey of PEM and general emergency medicine (EM) POCUS experts in Canada and the United States was conducted to obtain consensus regarding the most important curricular components of a PEM POCUS fellowship training program. Participants were solicited from the P2 Network mailing list and from PEM and EM POCUS fellowship directors listed on the Society of Clinical Ultrasound Fellowships and the Canadian Society of POCUS-EM Fellowships websites. Curricular components considered as part of the survey included US skills, educational skills, administrative skills, and research requirements. Consensus was considered to have been reached when ≥80% of respondents agreed to either include or exclude the component in fellowship training. RESULTS: Round 1 of the survey was sent to 311 participants. A total of 118 (37.9%) completed eligibility for the survey, and 92 (78.0%) met eligibility criteria. Of those, 80 (67.8% of eligible participants) completed the first round of the survey. Round 2 of the survey was sent to those who completed part 1, and 64 (80.0%) completed that round. During Round 1, consensus was achieved for 15 of 75 US applications, seven of seven educational skills, nine of 11 administrative skills, and four of six research requirements. In Round 2 of the survey, consensus was reached on two additional US skills, but no additional administrative skills or research requirements. CONCLUSIONS: With a consensus-building process, the core content for PEM POCUS fellowship training was defined. This can help POCUS educators formulate standardized curricula to create consistent training in POCUS fellowship graduates.
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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 | 0.176 | 0.176 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".