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Record W3192717730 · doi:10.5737/23688653-3222029

Rôle de l’infirmière lors de la prise en charge d’une personne ventilée aux soins intensifs : une revue narrative

2021· article· fr· W3192717730 on OpenAlexfundvenueno aff
Mylène Michaud, Marilou Gagnon, Jean Daniel Jacob, Krystina B. Lewis

Bibliographic record

Venue˜The œCanadian journal of critical care nursing · 2021
Typearticle
Languagefr
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
FundersHealth Canada
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

En pratique clinique, l’infirmière joue un rôle essentiel dans la prise en charge de la personne ventilée aux soins intensifs. Afin de mieux comprendre ce rôle, une revue narrative de la littérature a été effectuée en sciences infirmières et plus précisément, la littérature qui porte sur la prise en charge des personnes ventilées aux soins intensifs. Une recherche des bases de données MEDLINE, Nursing & Allied Health Database, CINAHL et PsycINFO a généré 1107 écrits. Après avoir appliqué nos critères de sélection, un total de 45 écrits ont été sélectionnés et analysés. Nos résultats suggèrent que la gestion de l’anxiété, l’agitation, la douleur, la dyspnée, l’hygiène, le sommeil et l’environnement font partie intégrante du rôle de l’infirmière vis-à-vis de la prise en charge d’une personne ventilée aux soins intensifs. L’infirmière est également le lien de communication entre la personne ventilée, les membres de sa famille et l’équipe de soins. Toutefois, l’infirmière rencontre plusieurs obstacles lorsqu’elle prend en charge une personne ventilée, notamment le manque de connaissances, de ressources, de temps, de collaboration et d’autonomie. D’autres recherches sont nécessaires afin de relever les nombreux obstacles auxquels les infirmières sont confrontées et d’identifier des pistes de solutions au plan clinique.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0020.005
Scholarly communication0.0070.009
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.021
GPT teacher head0.331
Teacher spread0.310 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2021
Admission routes2
Has abstractyes

Explore more

Same venue˜The œCanadian journal of critical care nursingSame topicIntensive Care Unit Cognitive DisordersFrench-language works237,207