A survey of paramedic advanced airway practice in the UK
Bibliographic record
Abstract
Introduction ‐ Although there are published studies examining UK paramedic airway management in the out-of-hospital setting, there has been no sizeable survey of practicing UK paramedics that examines their advanced airway management practice, training and confidence. Therefore, the Airway Management Group of the College of Paramedics commissioned a survey to gain an up to date snapshot of advanced airway management practice across the UK among paramedics.Methods ‐ An online questionnaire was created, and a convenience sample of Health and Care Professions Council (HCPC) registered paramedics was invited to participate in the survey. Invitations were made using the College of Paramedics e-mail mailing list, the College website, as well as social media services such as Twitter and Facebook. The survey ran online for 28 days from 21 October to 18 November 2014 to allow as many paramedics to participate as possible. The survey questions considered a range of topics including which supraglottic airway devices are most commonly available in practice and whether or not tracheal intubation also formed a part of individual skillsets. In relation to intubation, respondents were asked a range of questions including which education programmes had been used for original skill acquisition, how skills were maintained, what techniques and equipment were available for intubation attempts, individual practitioner confidence in intubation and how intubation attempts were documented.Results ‐ A total of 1658 responses to the survey were received. Following data cleansing, 152 respondents were removed from the survey, leaving a total of 1506. This represented 7.3% of paramedics registered with the HCPC (20,565) at the time the survey was conducted. The majority of respondents were employed within NHS ambulance services.Summary ‐ This is the largest survey of UK paramedics conducted to date, in relation to advanced airway management. It provides an overview of advanced airway management, with a particular focus on intubation, being conducted by UK paramedics.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".