Quality of Widely Available Video Instructional Materials for Point-of-Care Ultrasound-Guided Procedure Training in Internal Medicine
Bibliographic record
Abstract
OBJECTIVES: Many instructional materials for point-of-care ultrasound (US)-guided procedures exist; however, their quality is unknown. This study assessed widely available educational videos for point-of-care US-guided procedures relevant to internal medicine: central venous catheterization, thoracentesis, and paracentesis. METHODS: We searched Ovid MEDLINE, YouTube, and Google to identify videos for point-of-care US-guided paracentesis, thoracentesis, and central venous catheterization. Videos were evaluated with a 5-point scale assessing the global educational value and a checklist based on consensus guidelines for competencies in point-of-care US-guided procedures. RESULTS: For point-of-care US-guided central venous catheterization, 12 videos were found, with an average global educational value score ± SD of 4.5 ± 0.7. Indications to abort the procedure were discussed in only 3 videos. Five videos described the indications and contraindications for performing central venous catheterization. For point-of-care US-guided thoracentesis, 8 videos were identified, with an average global educational value score of 4.0 ± 0.9. Only one video discussed indications to abort the procedure, and 3 videos discussed sterile technique. For point-of-care US-guided paracentesis, 7 videos were included, with an average global educational value score of 4.1 ± 0.9. Only 1 video discussed indications to abort the procedure, and 2 described the location of the inferior epigastric artery. CONCLUSIONS: The 27 videos reviewed contained good-quality general instruction. However, we noted a lack of safety-related information in most of the available videos. Further development of resources is required to teach internal medicine trainees skills that focus on the safety of point-of-care US guidance.
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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 | 0.009 | 0.100 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".