Virtual Coaching and the Reduction of Radial Head Subluxation
Bibliographic record
Abstract
OBJECTIVES: After the establishment of the virtual pediatric emergency medicine clinic at our institution, we noted that several physicians independently began to instruct caregivers virtually on reducing a radial head subluxation. We thus conducted a case series to investigate the number, success, and follow-ups for the virtual reduction of radial head subluxation. METHODS: The electronic medical records at our institution were searched from the inception of the virtual clinic in May 2020 until August 2022 (inclusive), for visits and discharge diagnosis containing the word "elbow" or "arm." RESULTS: Fourteen charts were retrieved; however, 2 were excluded because they were not a suspected radial head subluxation. A virtual reduction was attempted for eight (66.7%) of the 12 patients. In 6 of 8 patients (75.0%), the reduction was deemed successful, and for 2 patients (25.0%), it was deemed unsuccessful. Of the latter, one was found to have a nondisplaced radial neck fracture. All 4 patients (33.3%) for whom a virtual reduction was not attempted were referred to the emergency department. CONCLUSIONS: Virtual video coaching of pulled elbow reduction was completed at our institution with overall good success rate. All the physicians involved noted the essential need and benefits of video conferencing for successfully reducing radial head subluxation. We note that a pediatric population may be more amenable to video-based appointments than other populations due to their caregivers' familiarity with digital technology. Finally, as nonphysician models of healthcare delivery for virtual urgent care visits expand, we propose a checklist based on our experience to ensure patient safety.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".