A Presurvey and Postsurvey of a Web- and Simulation-Based Course of Ultrasound-Guided Nerve Blocks for Pediatric Emergency Medicine
Bibliographic record
Abstract
OBJECTIVES: Fracture pain in the pediatric emergency department generally is treated with systemic analgesia using opioids. Fracture pain can alternatively be controlled with ultrasound (U/S)-guided nerve blocks for which only minimal training is available to pediatric emergency medicine physicians. This study evaluated the effects of a Web- and half-day simulation-based U/S course. Outcome measures were physician comfort level with and intention to use U/S-guided nerve blocks in clinical practice. METHODS: We conducted a presurvey and postsurvey study targeting pediatric emergency medicine physicians. Participants completed a Web-based tutorial and a half-day simulation program. Participants completed survey questionnaires to document their comfort level and intention to use U/S-guided nerve blocks. Questionnaires were completed before, immediately after, and 1 month after course. RESULTS: Eleven physicians participated in the study. The participants' comfort with and intention to use U/S-guided ulnar and femoral nerve blocks increased immediately after course, but neither increase was sustained 1 month after course. Immediately following the course, participants reported that the course addressed their learning needs (91%) and that they would consider advanced training (91%). One month after course, participants reported that they would partake in refresher courses (82%), particularly if offered once per year (64%). CONCLUSIONS: This study suggests that Web- and simulation-based learning can increase comfort and intention to use U/S-guided nerve blocks and the need for follow-on training. Participants reported that their learning needs were met but that they would need annual refresher courses.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".