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Record W1535152727 · doi:10.3917/spub.137.0045

L'intervention en cessation tabagique dans la formation infirmière au Québec : enquête auprès des responsables de programmes

2014· article· fr· W1535152727 on OpenAlexaffabout
Mario Lepage, Louise Dumas, Chantal Saint-Pierre

Bibliographic record

VenueSanté Publique · 2014
Typearticle
Languagefr
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsPolitical scienceGynecologyHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

INTRODUCTION: Basic nursing education has a major impact on the future professional practices of nurses. Nurses must be adequately trained to perform health promotion activities, such as smoking cessation. However, nurses play only a minor role in this field. The objective of this research was to describe the smoking cessation content in basic nursing programmes in Quebec. METHODS: A simple descriptive mixed design (quantitative and qualitative) study was conducted among nursing programme administrators in Quebec, using a validated online questionnaire. RESULTS: On average, the time devoted to smoking cessation was reported to be less than one hour per year, essentially concerning the physiological and pathophysiological factors of tobacco consumption, while nursing professional assessment and counselling in smoking cessation were almost non-existent. CONCLUSION: The results confirm the need to increase and improve the time and content devoted to smoking cessation in the basic nursing education curriculum. It is also important to structure basic training courses so to improve knowledge, attitudes, and skills of future nurses in order to influence their role in smoking cessation in their future professional practice.

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)0.004
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.308
Teacher spread0.293 · 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

Citations2
Published2014
Admission routes2
Has abstractyes

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