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Record W7032912867

The pediatric mechanical ventilation in Canada (PeMViC) study: A Delphi survey of pediatric mechanical ventilation practices by Canadian respiratory therapists

2021· dissertation· en· W7032912867 on OpenAlexfundaboutno aff

Bibliographic record

Venuee-scholar@UOIT (University of Ontario Institute of Technology) · 2021
Typedissertation
Languageen
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsnot available
FundersUniversity of Ontario Institute of Technology
KeywordsMechanical ventilationStandardizationGuidelinePediatric intensive care unitDelphi methodClinical PracticeCritically illMechanical ventilatorMEDLINE
DOInot available

Abstract

fetched live from OpenAlex

The gap in knowledge for pediatric mechanical ventilation (MV) management makes practice standardization difficult. The European Society for Pediatric and Neonatal Intensive Care (ESPNIC) was the first to establish consensus recommendations on pediatric MV management. In Canada, respiratory therapists (RTs) have a large role in MV management, but do not exist in Europe. The purpose was to determine Canadian RTs??? recommendations on common pediatric MV management. \nAn e-Delphi study included n=56 participants from 15 Canadian pediatric facilities. All statements achieved consensus and this guideline consists of 59 recommendations, organized into 10 subsections: Non-invasive ventilation; tidal volumes and inspiratory pressures; respiratory rate and inspiratory time; PEEP and FiO2; Advanced Mechanical Ventilation; Weaning; Physiologic Targets; Monitoring; General MV practice and Equipment adjuncts. \nThese commonly practiced pediatric MV techniques by RTs may be used as a standard for future clinical practice and studies to understand their clinical impact in critically ill children.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.227
Teacher spread0.192 · 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 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
Published2021
Admission routes2
Has abstractyes

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