Immobilization in Emergency Medical Service – Are CSR and NEXUS-Criteria Considered? A Matched-Pairs Analysis Between Trauma Patients Treated by Onsite EMS Physicians and Patients Treated by Tele-EMS Physicians
Bibliographic record
Abstract
Background: The NEXUS-low-risk criteria (NEXUS) and Canadian C-spine rule (CSR) are clinical decision tools used for the prehospital spinal clearance in trauma patients, intending to prevent over- as well as under immobilization. Since 2014, a holistic telemedicine system is part of the emergency medical service (EMS) in Aachen (Germany). This study aims to examine whether the decisions to immobilize or not by EMS- and tele-EMS physicians are based on NEXUS and the CSR, as well as the guideline adherence concerning the choice of immobilization device. Methods: A single-site retrospective chart review was undertaken. Inclusion criteria were EMS physician and tele-EMS physician protocols with traumatic diagnoses. Matched pairs were formed, using age, sex and working diagnoses as matching criteria. The primary outcome parameters were the criteria documented as well as the immobilization device used. The evaluation of the decision to immobilize based on the criteria documented was defined as secondary outcome parameter. Results: Of a total of 247 patients, 34% (n = 84) were immobilized in the EMS physician group and 32.79% (n = 81) in the tele-EMS physician group. In both groups, less than 7% NEXUS or CSR criteria were documented completely. The decision to immobilize or not was appropriately implemented in 127 (51%) in the EMS-physician and in 135 (54, 66%) in the tele-EMS physician group. Immobilization without indication was performed significantly more often by tele-EMS physicians (6.88% vs 2.02%). A significantly better guideline adherence was found in the tele-EMS physician group, preferring the vacuum mattress (25, 1% vs 8.9%) over the spineboard. Conclusion: It could be shown that NEXUS and CSR are not applied regularly, and if so, mostly inconsistently with incomplete documentation by both EMS- and tele-EMS physicians. Regarding the choice of the immobilization device a higher guideline adherence was shown among the tele-EMS physicians.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".