Ultrasound-Guided Regional Anesthesia Performance in the Early Learning Period
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Success in performing ultrasound-guided peripheral nerve blockade (PNB) demands sound knowledge of sonoanatomy, good scanning techniques, and proper hand-eye coordination. The objectives of our study were to evaluate whether simulator training aids success of novice operators in ultrasound-guided PNB and to determine what number of procedures is required to attain proficiency. METHODS: Twenty Postgraduate Year 2 anesthesiology residents with no previous experience in ultrasound-guided PNB were randomly assigned into 2 groups. Both groups received conventional teaching comprising of 4 didactic lectures on PNBs with ultrasound guidance. Using a low-fidelity simulation model, 1 group further received an hourlong training session on needling and proper hand-eye coordination. Once the training was over, the residents started their rotation through our block room. Using a logbook, each resident recorded the number of successful and failed ultrasound-guided regional anesthesia blocks performed over a 3-week period. A successful block was defined as one that was effective for surgical anesthesia and performed within 15 mins, with only verbal guidance from a staff anesthesiologist. Cumulative summation charts were created to track progress using a predetermined acceptable failure rate of 30%. RESULTS: The conventional training group had 98 successful blocks, and the simulation group had 144 (51.3% vs 64%; P = 0.016). In the conventional training group, 4 of 10 residents achieved proficiency, and in the simulation training group, 8 of 10 residents achieved proficiency (80% vs 40%; P = 0.0849). CONCLUSIONS: Simulation training improves success rate in ultrasound-guided performance of regional anesthesia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".