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Record W4400191297 · doi:10.3917/rsi.156.0031

Sélection de stratégies de transfert des connaissances visant à implanter les pratiques recommandées de prévention non pharmacologiques du délirium en soins intensifs

2024· article· fr· W4400191297 on OpenAlexaff
Anick Boivin, Mélanie Berube

Bibliographic record

VenueRecherche en soins infirmiers · 2024
Typearticle
Languagefr
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsGynecologyPolitical sciencePhilosophyHumanitiesMedicine

Abstract

fetched live from OpenAlex

Background : Delirium prevention in the ICU should focus on a non-pharmacological approach. However, these recommendations are not always applied by care providers. Objective : To select knowledge translation strategies to facilitate the implementation of non-pharmacological best practices to prevent delirium in the ICU. Method : A consensus study was conducted. Barriers and facilitators to the implementation of nonpharmacological methods, and knowledge translation strategies, were identified in two nominal groups. A context assessment was also carried out. Nine professionals and one patient-partner participated. Results : The barriers and facilitators on which consensus was reached were most frequently related to environmental context and resources, intention, and knowledge. The areas of organizational context with the highest levels of agreement were interpersonal relations, culture and leadership. Consequently, knowledge translation strategies were selected to facilitate practices, as well as to modify the environment and improve knowledge. Conclusion : A structured method was used during this study to guide the selection of knowledge translation strategies. The application of these strategies could potentially improve clinical practice in intensive care.

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)0.006
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0020.004
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 head0.157
GPT teacher head0.446
Teacher spread0.288 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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