Ultrasound-guided regional anesthesia: feasibility and effectiveness of teaching via telesimulation in Ethiopia
Bibliographic record
Abstract
BACKGROUND: Acute pain management in resource-poor countries remains a challenge. Ultrasound-guided regional anesthesia is a cost-effective way of delivering analgesia in these settings. However, for financial and logistical reasons, educational workshops are inaccessible to many physicians in these environments. Telesimulation provides a way of teaching across distance by using simulators and video-conferencing software to connect instructors and students worldwide. We conducted a prospective study to determine the feasibility of ultrasound-guided regional anesthesia teaching via telesimulation in Ethiopia. METHODS: Eighteen Ethiopian orthopedic and emergency medicine house staff participated in telesimulation teaching of ultrasound-guided femoral nerve block. This consisted of four 90-min sessions, once per week. Week 1 consisted of a precourse test and a presentation on aspects of performing a femoral nerve block, weeks 2 and 3 were live teaching sessions on scanning and needling techniques, and in week 4, the house staff undertook a postcourse test. All participants were assessed using a validated Global Rating Scale and Checklist. RESULTS: Participants were provided with a validated checklist and global rating scale as a pretest and post-test. The participants showed significant improvement in their test scores, from a total mean of 51% in the pretest to 84% in their post-test. CONCLUSIONS: Teaching ultrasound-guided regional anesthesia of the femoral nerve remotely via telesimulation is feasible. Telesimulation can greatly improve the accessibility of ultrasound-guided regional anesthesia teaching to physicians in remote areas.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".