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Record W4416076520 · doi:10.5737/23688076355743

Étude quasi expérimentale sur l’effet d’une intervention éducative sur les pratiques d’hygiène des mains des patients recevant de la chimiothérapie

2025· article· W4416076520 on OpenAlexvenueno aff
Shenia Aminpanah, Kaveh Bahmanpour, Bijan Nouri, Sina Valiee

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2025
Typearticle
Language
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsnot available
Fundersnot available
KeywordsMains electricityMedical screeningIntervention (counseling)

Abstract

fetched live from OpenAlex

La présente étude, de type quasi expérimental, visait à évaluer l’effet d’une intervention à facettes multiples sur les pratiques d’hygiène des mains des patients recevant de la chimiothérapie. L’hygiène des mains des patients et le nombre d’infections après l’intervention éducative ont été mesurées au moment de l’admission à l’hôpital et du congé subséquent, pour les groupes expérimental et témoin à l’étude. Dans le groupe expérimental, la pratique de l’hygiène des mains était meilleure que pour le groupe témoin, en ce qui concerne la perception (p = 0,0001), l’exécution (p = 0,0001), la raison de la non-adhésion (p = 0,0002) et le score total pour l’observance de la pratique (p = 0,0001). Aucune différence notable dans le nombre d’infections (p = 1) n’a été observée entre les deux groupes. Le déploiement de l’intervention à multiples facettes a augmenté le taux d’adhésion des patients à l’hygiène des mains dans le groupe expérimental, mais aucune diminution des infections n’a été notée chez les patients hospitalisés. Les conclusions facilitent la conception et la mise en place d’une intervention à multiples facettes afin d’augmenter le lavage des mains chez les patients. Mots-clés : cancer, infection, hygiène des mains, intervention à facettes multiples

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)0.013
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.016
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.019
GPT teacher head0.350
Teacher spread0.331 · 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 designNon-randomized trial
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
Published2025
Admission routes1
Has abstractyes

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