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Record W2001563577 · doi:10.1093/eurpub/ckr209

Smoking cessation interventions from health care providers before and after the national smoke-free law in France

2012· article· en· W2001563577 on OpenAlexafffund
R. D. Kennedy, Ilan Behm, Lorraine Craig, Michelle E. Thompson, Geoffrey T. Fong, Romain Guignard, François Beck

Bibliographic record

VenueEuropean Journal of Public Health · 2012
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsImpactOntario Institute for Cancer ResearchUniversity of Waterloo
FundersNational Cancer InstituteCanadian Institutes of Health Research
KeywordsSmoking cessationPsychological interventionMedicineSmoking banIntervention (counseling)Tobacco controlMedical prescriptionFamily medicineQuit smokingTelephone surveyHospitalitySmokeEnvironmental healthPublic healthNursingLawAdvertisingPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Smoking cessation advice from health care providers (HCP) is well-known to be associated with increased quitting. This study sought to understand the extent to which smokers in France who visited a HCP around the time of the implementation of the national ban on smoking received encouragement to quit from a HCP and what kinds of intervention were provided. HCP may have a unique opportunity during the implementation phase of smoke-free laws to address their patients' smoking behaviours to increase the likelihood of success at a time when smokers' readiness and interest in quitting may be higher. METHODS: Telephone interviews were conducted among adult smokers (n = 1067) before and after the two-phase (2007 and 2008) national ban on indoor smoking as part of the International Tobacco Control (ITC) France Survey. In the survey, smokers were asked whether they had visited a HCP in the past 6 months and, if so, whether they had received cessation encouragement, and/or other interventions to support quitting such as prescriptions for stop-smoking medication. RESULTS: Most smokers (61%) reported visiting a HCP in the 6 months prior to the first phase of the national smoke-free ban, and 58% after the time of the hospitality ban. Of these, most reported they did not receive any assistance from a HCP before (54%) or after (64%) the smoke-free law. Among those who reported an intervention, the most common were only encouragement to quit (58% in Wave 1 and 49% in Wave 2), or receiving both encouragement and a pamphlet (31% in both Wave 1 and 2). The combination of prescriptions for stop-smoking medicine and encouragement to quit increased from 8% in 2007 to 22% in 2008. The smokers who received an intervention were more likely (OR 1.9, 95% CI: 1.2-2.9) to report that they were thinking about quitting. DISCUSSION: This study demonstrates that HCP in France are well positioned to provide smoking cessation encouragement and other interventions to a majority of smokers and thus the importance of taking measures to increase their involvement, particularly when population-level tobacco control policies, such as smoke-free laws, are being implemented.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.081
GPT teacher head0.355
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2012
Admission routes2
Has abstractyes

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