Attitudes & behaviors toward the management of tobacco smoking patients: qualitative study with French primary care physicians

Background Smoking cessation is a major public health issue. In France, primary care physicians (PCP) are the first contact points for tobacco management. The objective of this study was to understand how PCPs are involved in the management of smoking cessation: ownership, commitment, barriers. Methods A qualitative study was conducted using group and individual semi-structured techniques with PCPs. A thematic analysis of verbatim transcripts was performed to identify concepts and sub-concepts of interest. Saturation was evaluated retrospectively to ensure adequate sample size. Results A sample of 35 PCPs were interviewed, 31 in four focus groups and four in individual interviews. PCPs discussed their roles in the management of tobacco smoking cessation, including the different strategies they are using (e.g., Minimal Intervention Strategy, Motivational Interviewing), the multiple barriers encountered (e.g., lack of time, patients’ resistance to medical advice), the support resources and the treatment and intervention they prescribed (e.g. nicotine replacement therapy, supporting therapist). Conclusions This study provides a better understanding of the beliefs, attitudes, and behaviors of PCPs in managing smoking cessation. Guiding and encouraging patients toward smoking cessation remains a major objective of PCPs. While PCPs reported that progress has been made in recent years in terms of tools, technology and general awareness, they still face major barriers, some of which could be overcome by appropriate training.

Predictors of perceived success in quitting smoking by vaping: A machine learning approach

Prior research has suggested that a set of unique characteristics may be associated with adult cigarette smokers who are able to quit smoking using e-cigarettes (vaping). In this cross-sectional study, we aimed to identify and rank the importance of these characteristics using machine learning. During July and August 2019, an online survey was administered to a convenience sample of 889 adult smokers (age ≥ 20) in Ontario, Canada who tried vaping to quit smoking in the past 12 months. Fifty-one person-level characteristics, including a Vaping Experiences Score, were assessed in a gradient boosting machine model to classify the status of perceived success in vaping-assisted smoking cessation. This model was trained using cross-validation and tested using the receiver operating characteristic (ROC) curve. The top five most important predictors were identified using a score between 0% and 100% that represented the relative importance of each variable in model training. About 20% of participants (N = 174, 19.6%) reported success in vaping-assisted smoking cessation. The model achieved relatively high performance with an area under the ROC curve of 0.865 and classification accuracy of 0.831 (95% CI [confidence interval] 0.780 to 0.874). The top five most important predictors of perceived success in vaping-assisted smoking cessation were more positive experiences measured by the Vaping Experiences Score (100%), less previously failed quit attempts by vaping (39.0%), younger age (21.9%), having vaped 100 times (16.8%), and vaping shortly after waking up (15.8%). Our findings provide strong statistical evidence that shows better vaping experiences are associated with greater perceived success in smoking cessation by vaping. Furthermore, our study confirmed the strength of machine learning techniques in vaping-related outcomes research based on observational data.

Improving smoking cessation after myocardial infarction by systematically implementing evidence-based treatment methods

We compared the odds of smoking cessation at 2-months post-myocardial infarction (MI), before and after implementing routines optimizing use of evidence-based smoking cessation methods, with start during admission. The following routines were implemented at six Swedish hospitals: cardiac rehabilitation nurses offering smokers consultation during admission, optimizing nicotine replacement therapy and varenicline prescription, and contacting patients by telephone during the 1st week post-discharge. Using logistic regression, odds for smoking cessation at 2-months before (n smokers/n admitted = 188/601) and after (n = 195/632) routine implementation were compared. Secondary outcomes included adherence to implemented routines and assessing the prognostic value of each routine on smoking cessation. After implementation, a larger proportion of smokers (65% vs. 54%) were abstinent at 2-months (OR 1.60 [1.04–2.48]). Including only those counselled during admission (n = 98), 74% were abstinent (2.50 [1.42–4.41]). After implementation, patients were more often counselled during admission (50% vs. 6%, p < 0.001), prescribed varenicline (23% vs. 7%, p < 0.001), and contacted by telephone post-discharge (18% vs. 2%, p < 0.001). Being contacted by telephone post-discharge (adjusted OR 2.74 [1.02–7.35]) and prescribed varenicline (adjusted OR 0.39 [0.19–0.83]) predicted smoking cessation at 2-months. In conclusion, readily available methods for aiding smoking cessation can be implemented effectively in routine practice, with beneficial effects for post-MI patients.

Effects of episodic future thinking on reinforcement pathology during smoking cessation treatment among individuals with substance use disorders

Rationale Reinforcer pathology (RP) is a theoretical model based on two processes: delay discounting (DD) and drug demand. Given that RP has been shown to have a predictive value on smoking behaviors, several studies have explored which interventions can reduce RP. Consistent with the RP framework, episodic future thinking (EFT) has shown effects on treatment outcomes and RP processes. The vast majority of studies that assess the effects of EFT on RP consist of experimental studies, and no previous research has tested these effects in a clinical sample of smokers. Objectives The primary aim of this study was to assess the effects of EFT on RP throughout the course of a smoking cessation intervention in smokers with substance use disorders (SUDs). Methods Participants were randomized to cognitive behavior therapy (CBT) + EFT (n = 39) or CBT + EFT + contingency management (n = 33). Cotinine, frequency of EFT practices, cigarette purchase task (CPT), and DD were evaluated in treatment sessions. Mixed-effects model repeated measures analysis was used to explore DD and CPT in-treatment changes as a function of EFT practices and cotinine levels. Results Greater practice of the EFT component significantly reduced cigarette demand (p < .020) as well as DD (p = .003). Additionally, a greater reduction in cotinine levels coupled with greater EFT practice led to a greater decrease in cigarette demand (p < .014). Conclusions EFT reduced the two facets of RP in treatment-seeking smokers with SUDs.