Advanced Versus Basic Life Support in the Pre‐Hospital Setting – The Controversy between the ‘Scoop and Run’ and the ‘Stay and Play’ Approach to the Care of the Injured Patient
Bibliographic record
Abstract
Pre‐hospital care for trauma patients is provided by emergency medical personnel using either basic life support (BLS) or advanced life support (ALS) techniques. BLS for the seriously injured trauma patient most notably involves ‘scoop and run’ in which medical interventions are performed while en route to an appropriate hospital. These interventions are non‐invasive and include wound dressing, immobilization, fracture splinting, oxygen administration and non‐invasive cardiopulmonary resuscitation. ALS encompasses all of the previously mentioned BLS techniques in addition to minimally invasive procedures such as endotracheal intubation, intravenous access for fluid replacement and administration of medications. System protocols often dictate that ALS providers ‘stay and play’ at the scene of a serious trauma in order to carry out these more advanced procedures. The rationale for the use of on‐site ALS in trauma is that these interventions will reduce the rate of physiological and haemodynamic deterioration, thus stabilizing the patient prior to arrival at the hospital. It is expected that this will subsequently result in increased chances of survival. The paradox is that on‐site ALS increases the amount of time that is spent on the scene, and hence increases the delay to definitive in‐hospital care. The controversy regarding the pre‐hospital care of trauma patients between ALS and BLS is ongoing. Due to this unresolved controversy, as well as historical, cultural and political factors, significant variations exist in the pre‐hospital care available to trauma patients. Pre‐hospital care throughout the world is therefore inconsistent and is provided in different ways by different crews with different equipment, protocols and training. This review will focus on the controversies which occur in the urban setting with regard to the overall approach to pre‐hospital care as well as for specific pre‐hospital interventions. The discussion will consist of an evidence‐based approach to the topic of pre‐hospital care and topics discussed will be based on past and current literature.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".