Can a rescuer or simulated patient accurately assess motion during cervical spine stabilisation practice sessions?
Bibliographic record
Abstract
Background Proper stabilisation of suspected unstable spine injuries is necessary to prevent (worsen) spinal cord damage. Almost all training relies on subjective reports from the simulated patient or observations from an independent person. The reliability and validity of these measures remains unknown. Objective To determine 1) how accurately rescuers and simulated patients assess motion during cervical spine (c-spine) stabilisation practice, and 2) if providing feedback on performance influences behaviour preferences. Design Cross-over design. Setting and Participants 12 experienced therapists. Assessment Head Squeeze and Trap Squeeze (random order) c-spine stabilisation during four test scenarios: lift-and-slide (L&S) and log-roll (LR) placement on spinal board, and agitated patient trying to sit up (AGIT-SIT) or rotate head (AGIT-ROT). Main outcome measurements Inter-rater reliability between rescuer and simulated patient quality scores for subjective evaluation of c-spine stabilisation during trials (0=best, 10=worst), correlation between rescuers' quality score and objective measure of motion with inertial measurement units (IMU), and frequency of change in preference for Head Squeeze vs Trap Squeeze. Results Although the weighted-kappa for inter-rater reliability was acceptable (0.71–0.74), scores varied by more than one points between rescuers/simulated patients for ∼10–15% of trials. Rescuers' scores correlated with objective measures but with large variability. For example, 38% of trials scored as almost perfect (0–1) by the rescuer actually had >10° of motion in at least one direction. In general, feedback did not affect preference for L&S. For the LR, 6/8 subjects preferring Head Squeeze at baseline preferred Trap Squeeze after feedback. For the confused patient, 5/5 subjects preferring Head Squeeze at baseline preferred Trap Squeeze after feedback. Conclusion Rescuers and simulated patients could not adequately assess performance during c-spine stabilisation without objective measures. Providing immediate feedback is a promising tool for teaching proper technique and for changing preferences of behaviour in this context.
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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 | 0.011 | 0.078 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".