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Record W4211148864 · doi:10.5737/236880763212229

Les interventions éducationnelles pour améliorer la communication infirmière-patient en santé sexuelle auprès de la clientèle gynéco-oncologique : une revue narrative

2022· article· fr· W4211148864 on OpenAlexaffvenue
Hazar Mrad, Billy Vinette, Audrey Chouinard, Karine Bilodeau

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2022
Typearticle
Languagefr
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

Malgré le désir de la clientèle gynéco-oncologique (GO) de parler ouvertement de son expérience de santé sexuelle avec les infirmières, ces dernières souvent ne se sentent pas assez outillées pour entamer ces conversations. Peu d’interventions éducationnelles existent afin d’améliorer la communication en santé sexuelle auprès des patientes pour les infirmières œuvrant aux soins GO. Cette revue narrative vise à synthétiser les différentes interventions éducationnelles disponibles dans ce contexte. Une recherche documentaire effectuée de 2010 à 2020 dans trois bases de données a permis de cibler 11 articles. Les résultats soulignent la variété des modalités de formations infirmières et leur potentiel d’améliorer cette communication. Qu’elles soient en ligne ou en présentiel, ces formations diffèrent entre autres au niveau de la durée, du type de formateur, des stratégies d’apprentissage et des thèmes abordés. Toutefois, les résultats soulignent le manque de formation en santé sexuelle dédiée aux infirmières œuvrant aux soins GO.

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)0.012
metaresearch head score (Gemma)0.032
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 score0.053
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.032
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.006
Scholarly communication0.0050.006
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.028
GPT teacher head0.367
Teacher spread0.338 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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Same venueCanadian Oncology Nursing JournalSame topicCancer survivorship and careFrench-language works237,207