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Enregistrement W3144447400 · doi:10.1093/ntr/ntab068

Self-Reported Quit Aids and Assistance Used By Smokers At Their Most Recent Quit Attempt: Findings from the 2020 International Tobacco Control Four Country Smoking and Vaping Survey

2021· article· en· W3144447400 sur OpenAlexafffundabout
Shannon Gravely, K. Michael Cummings, David Hammond, Ron Borland, Ann McNeill, Katherine East, Ruth Loewen, Nadia Martin, Hua‐Hie Yong, Lin Li, Alex C Liber, David T. Levy, Anne C K Quah, Janine Ouimet, Sara C Hitchman, Mary E. Thompson, Christian Boudreau, Geoffrey T. Fong

Notice bibliographique

RevueNicotine & Tobacco Research · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueSmoking Behavior and Cessation
Établissements canadiensOntario Institute for Cancer ResearchUniversity of Waterloo
Organismes subventionnairesNational Health and Medical Research CouncilCanadian Institutes of Health ResearchNational Cancer InstituteMedical Research CouncilNational Institute for Health and Care Research
Mots-clésTobacco controlQuit smokingEnvironmental healthSmoking cessationMedicineTobacco useSmoking preventionPsychologyPublic healthNursing

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION: This study retrospectively describes smoking cessation aids, cessation services, and other types of assistance used by current and ex-smokers at their last quit attempt in four high-income countries. AIMS AND METHODS: Data are from the Wave 3 (2020) International Tobacco Control Four Country Smoking and Vaping Survey in Australia, Canada, England, and the United States (US). Eligible respondents were daily smokers or past-daily recent ex-smokers who made a quit attempt/quit smoking in the last 24-months, resulting in 3614 respondents. Self-reported quit aids/assistance included: nicotine vaping products (NVPs), nicotine replacement therapy (NRT), other pharmacological therapies (OPT: varenicline/bupropion/cytisine), tobacco (noncombustible: heated tobacco product/smokeless tobacco), cessation services (quitline/counseling/doctor), other cessation support (e.g., mobile apps/website/pamphlets, etc.), or no aid. RESULTS: Among all respondents, at last quit attempt, 28.8% used NRT, 28.0% used an NVP, 12.0% used OPT, 7.8% used a cessation service, 1.7% used a tobacco product, 16.5% other cessation support, and 38.6% used no aid/assistance. Slightly more than half of all smokers and ex-smokers (57.2%) reported using any type of pharmacotherapy (NRT or OPT) and/or an NVP, half-used NRT and/or an NVP (49.9%), and 38.4% used any type of pharmacotherapy (NRT and/or OPT). A quarter of smokers/ex-smokers used a combination of aids. NVPs and NRT were the most prevalent types of cessation aids used in all four countries; however, NRT was more commonly used in Australia relative to NVPs, and in England, NVPs were more commonly used than NRT. The use of NVPs or NRT was more evenly distributed in Canada and the US. CONCLUSIONS: It appears that many smokers are still trying to quit unassisted, rather than utilizing cessation aids or other forms of assistance. Of those who did use assistance, NRT and NVPs were the most common method, which appears to suggest that nicotine substitution is important for smokers when trying to quit smoking. IMPLICATIONS: Clinical practice guidelines in a number of countries state that the most effective smoking cessation method is a combination of pharmacotherapy and face-to-face behavioral support by a health professional. Most quit attempts however are made unassisted, particularly without the use of government-approved cessation medications. This study found that about two in five daily smokers used approved cessation medications (nicotine replacement therapy (NRT) or other approved pharmacotherapies, such as varenicline). Notably, nicotine substitution in the form of either NRT and nicotine vaping products (NVPs) were the most common method of cessation assistance (used by one in two respondents), but the proportion using NRT and/or NVPs varied by country. Few smokers who attempted to quit utilized cessation services such as stop-smoking programs/counseling or quitlines, despite that these types of support are effective in helping smokers manage withdrawals and cravings. Primary healthcare professionals should ask their patients about smoking and offer them evidence-based treatment, as well as be prepared to provide smokers with a referral to trained cessation counselors, particularly when it comes to tailoring intensive treatment programs for regular daily smokers. Additionally, healthcare providers should be prepared to discuss the use of NVPs, particularly if smokers are seeking advice about NVPs, wanting to try/or already using an NVP to quit smoking, have failed repeatedly to quit with other cessation methods, and/or if they do not want to give up tobacco/nicotine use completely.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,082
Tête enseignante GPT0,353
Écart entre enseignants0,270 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations40
Publié2021
Routes d'admission3
Résumé présentoui

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