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Record W7019696347

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

2023· other· en· W7019696347 on OpenAlexaboutno aff

Bibliographic record

VenueDove Medical Press (Taylor and Francis Group) · 2023
Typeother
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGuidelineMedical diagnosisService (business)Emergency medical servicesUniversity hospitalAdvanced life supportChartEmergency department
DOInot available

Abstract

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Paula Hofstetter,1,2 Hanna Schröder,1,3 Stefan K Beckers,1,3,4 Christina Borgs,1 Rolf Rossaint,1 Marc Felzen1,3,4 1Department of Anesthesiology, University Hospital RWTH Aachen, Aachen, Germany; 2Department of Anesthesiology, Rhein-Maas Klinikum, Würselen, Germany; 3Aachen Institute for Rescue Management & Public Safety, City of Aachen and University Hospital RWTH Aachen, Aachen, Germany; 4Medical Direction of Aachen Fire Department, Aachen, GermanyCorrespondence: Marc Felzen, Department of Anesthesiology, University Hospital RWTH Aachen, Pauwelsstrasse 30, Aachen, 52074, Germany, Tel +49 241 8088179, Fax +49 241 82406, Email mfelzen@ukaachen.deBackground: 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.Keywords: immobilization, trauma, emergency medicine, Canadian C-spine rule, NEXUS-criteria, tele-emergency medicine

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.020
GPT teacher head0.285
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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