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Record W2790557137 · doi:10.29045/14784726.2016.1.3.9

A survey of paramedic advanced airway practice in the UK

2016· article· en· W2790557137 on OpenAlexaff
Paul Younger, Richard Pilbery, Kris Lethbridge

Bibliographic record

VenueBritish Paramedic Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsLethbridge College
Fundersnot available
KeywordsAirwayMedicineMedical emergencyAnesthesia

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.019
GPT teacher head0.315
Teacher spread0.296 · 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 teacher head, not a consensus.

Study designOther design
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

Citations4
Published2016
Admission routes1
Has abstractyes

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