Beyond Quitting: Any Additional Impact of Mailing Free Nicotine Patches to Current Smokers?
Notice bibliographique
Résumé
With smoking being the leading cause of preventable mortality,1 there is a great need to develop effective means to promote tobacco cessation. One method, mailing free nicotine patches through mass distribution initiatives, has proved popular in both United States and Canada.2,3 Further, mailing nicotine patches without behavioral support has been found to promote tobacco cessation when compared to participants randomized into a no intervention control group at a 6-month follow-up (30-day abstinence: 7.6% vs. 3.0%; odds ratio [OR], 2.65; 95% confidence interval [CI], 1.44 to 4.89, p = .002).4 While promoting abstinence is the gold standard in tobacco cessation initiatives, does mailing nicotine patches to those interested have additional benefits even among those who do not succeed at quitting?5–7 In our trial (ClinicalTrials.gov # NCT01429129),4,8 we recruited 2093 current adult smokers (10 or more cigarettes per day) using a random digit dialling telephone survey who were willing to take part in a baseline, 8-week, and 6-month longitudinal survey (participants paid $20 at each time point). As part of the baseline survey, we asked a series of hypothetical questions to identify participants who would be interested in receiving free nicotine patches, would use them to try to quit smoking within 1 week of receiving them, and would be willing to have them mailed to their home. Of these participants, those who did not report any health contraindications to using nicotine patches (n = 999) were randomized into two conditions—a condition where they were told that we actually had a supply of free nicotine patches (5 weeks per person) and could mail it to their home (n = 500; all said yes), or a no intervention condition (n = 499) that was not told about nicotine patches and had no awareness that anyone else was receiving patches. All participants were then followed up at 8 weeks and 6 months. Beyond assessing abstinence at these time points (7-day abstinence at 8 weeks and 30-day abstinence at 6 months),4 we asked if current smoking participants had made a serious quit attempt (for at least 24 hours), were intending to quit in the next 30 days, and the number of cigarettes per day that they were currently smoking. Analyses were conducted using an intention-to-treat approach and with missing data replaced with the last available value carried forward. Analyses reported here exclude participants reporting abstinence at each time point (pattern of outcomes are the same when these participants were included—not reported here; no significant differences observed at baseline). Compared to those who did not receive free nicotine patches, participants who received the patches reported an increased likelihood of a serious quit attempt, and intending to quit in the next 30 days, at both 8 weeks and 6 months (Quit attempts: 8 weeks: OR = 5.00; 95%CI, 3.61 to 6.90; p < .001; 6 months: OR = 2.96; 95%CI, 2.22 to 3.94; p < .001; intent to quit: OR = 2.28; 95%CI, 1.73 to 3.00, p < .001; 6 months: OR = 1.47; 95%CI, 1.05 to 1.89, p = .023). Further, those who received nicotine patches reported smoking fewer cigarettes per day compared to those in the no intervention control group (8 weeks: mean [SD], 12.99 [9.28] vs. 17.33 [8.76] cigarettes per day; Exp(β) = 0.75 [95%CI, 0.66 to 0.86]; p < .001; 6 months: mean [SD], 13.17 [9.72] vs. 16.04 [9.16] cigarettes per day; Exp(β) = 0.82 [95%CI, 0.72 to 0.94]; p = .003). The provision of free nicotine patch by mail appears to have secondary benefits beyond promoting abstinence that are supportive of tobacco cessation objectives. These findings provide additional evidence of the benefits of mass distribution initiatives as well as the effectiveness of nicotine patches to promote tobacco cessation, even when behavioral support is not provided. This research is funded by the Canadian Institutes of Health Research (CIHR). RFT and JAC are Canada Research Chairs funded by Health Canada. STL is a Chair in Applied Public Health funded by the Public Health Agency of Canada (PHAC) in partnership with Canadian Institutes of Health Research (CIHR) Institute of Neurosciences, Mental Health and Addiction (INMHA) and Institute of Population and Public Health (IPPH). Support to CAMH for salary of scientists and infrastructure has been provided by the Ontario Ministry of Health and Long Term Care. JAC, VK, LZ, and SL have no conflicts of interest to declare. RFT declares that, in the past 3 years, she has consulted with Apotex on topics unrelated to smoking cessation. PS has received grant/research funding from Pfizer Inc., Pfizer Canada Inc., and Shoppers Drug Mart. Speakers’ bureau fees were received from Pfizer Inc. Canada, Pfizer Global, and ABBVie. Furthermore, Dr. Selby has received consulting fees from Pfizer Inc., Pfizer Canada Inc., Pfizer Global, NABI Pharmaceuticals, and V-CC Systems Inc. JAC and VK had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. We acknowledge the support of CAMH and the CAMH foundation, the Canada Foundation for Innovation (#20289 and #16014), the Ontario Ministry of Research. The views expressed in this article do not necessarily reflect those of the Ministry of Health and Long Term Care.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,004 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,004 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,005 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,063 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».