Factors which affect the application and implementation of a spinal motion restriction protocol by prehospital providers in a low resource setting: A scoping review
Bibliographic record
Abstract
Introduction: The safety and effectiveness of prehospital clinical c-spine clearance or spinal motion restriction (SMR) decision support tools are unclear. The present study aimed to examine the available literature on clinical cervical spine clearance and selective SMR decision support tools to identify possible barriers to implementation, safety, and effectiveness when used by emergency medical service (EMS) practitioners. Method: We performed a focused scoping review of published literature on the prehospital use of clinical c-spine clearance and SMR decision tools in adult blunt trauma patients. The Medline, Embase, Cochrane Library, Cumulative Index of Nursing and Allied Health Literature, Web of Science, Turning Research into Practice and EBSCOhost online databases were searched (February 2021). The type of decision support tool and facilitators and barriers to its use were extracted from each included publication in accordance with a modified descriptive-analytical framework. Extracted data were subjected to thematic analysis. Results: Following screening, forty-two articles were included in this scoping review. No studies conducted specifically in low resource settings were found. The majority of articles (57%) evaluated the use of specific SMR decision support tools, such as the National Emergency X-Radiography Utilization Study (NEXUS) and the Canadian C-spine Rule (CCR). Potential facilitators of safe and effective use were identified in 60%, and potential barriers to safe and effective use in 55% of included articles. Only one study evaluated the CCR when used by EMS practitioners, making it difficult to determine its appropriateness for implementation in the prehospital setting. Conclusion: This is the first scoping review, to our knowledge, that has attempted to identify the possible barriers and facilitators to their implementation, safety, and effectiveness when used by EMS practitioners. Key issues identified included terminology, guideline compliance and implementation, and a lack of context-specific evidence. These may provide important considerations for future guideline development.
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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 | 0.002 | 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".