To explore the views of tobacco-smoking chronic obstructive pulmonary disease (COPD) and asthma-COPD overlap (ACO) patients on telehealth-based cessation programs and the role of e-cigarettes as an aid to quit smoking.

Tobacco smoking accelerates the progression of COPD. Traditional smoking cessation programs often do not entirely address the unique needs of COPD patients, leading to suboptimal effectiveness for this population. This research is aimed at describing the attitudes and preferences of COPD and ACO patients toward innovative, telehealth-based smoking cessation strategies and the potential application of e-cigarettes as a quitting aid.

A qualitative exploratory approach was adopted in this study, employing both focus groups and individual interviews with English-speaking adults with diagnosed COPD or ACO. Participants included both current smokers (≥ 5 cigarettes/day) and recent ex-smokers (who quit < 12 months ago). Data were systematically coded with iterative reliability checks and subjected to thematic analysis to extract key themes.

A total of 24 individuals participated in this study. The emergent themes were the perceived structure and elements of a successful smoking cessation program, the possible integration of telehealth with digital technologies, and the strategic use of e-cigarettes for smoking reduction or cessation. The participants stressed the importance of both social and professional support in facilitating smoking cessation, expressing a high value for insights provided by ex-smokers serving as mentors. A preference was observed for group settings; however, the need for individualized plans was also highlighted, considering the diverse motivations individuals had to quit smoking. The participants perceived online program delivery as potentially beneficial as it could provide immediate access to support during cravings or withdrawals and was accessible to remote users. Opinions on e-cigarettes were mixed; some participants saw them as a less harmful alternative to conventional smoking, while others were skeptical of their efficacy and safety and called for further research.

There is growing recognition of the role of the mCessation service (MCS) in promoting tobacco cessation in India.

To examine the potential for expanding the utilization of the MCS for tobacco cessation in India after assessing the dimensions related to literacy, mobile phone access, intention to quit, and advice to quit from the second round of the Global Adult Tobacco Survey.

A cross-sectional analysis of the data collected during the second round of the nationally-representative Global Adult Tobacco Survey (GATS) (2016–17) was conducted.

Current tobacco smokers, smokeless tobacco, and dual users compromised 10.7%, 21.4%, and 3.4% of the survey participants, respectively. Quit attempts were reported by 36.3% of the existing tobacco smokers, of whom nearly 72% tried to quit without any assistance, while only 0.3% used the MCS. However, the potential expansion of the MCS was likely among 11.2% tobacco users with an existing intention to quit, being literate, Hindi-speakers and having cell-phone access.

The utilization of the MCS can be considerably expanded among tobacco users in India by enabling multilingual usage and incorporation as standard care practice to allow the opportunistic promotion of tobacco cessation by healthcare providers at their health clinics.

Several effective evidence-based tobacco treatment approaches can optimize cessation attempts; however, little is known about the utilization of such strategies by people with mental illnesses (MI) during their cessation attempts.

To examine methods used during and factors associated with tobacco cessation attempts among people with MI.

Self-administered cross-sectional survey data were obtained from 132 tobacco using inpatients from a psychiatric facility in Kentucky, USA.

Our study found ‘cold turkey’ as the most reported method by inpatient tobacco users with MI in their prior cessation attempts regardless of the psychiatric diagnosis category. Multivariate logistic regression found ethnicity (OR 26.1; 95% CI 2.9–237.1), age at 1st smoke (OR 1.1; 95% CI 1.0–1.1), importance to quit (OR 1.2; 95% CI 1.0–1.4), and receipt of brief tobacco treatment interventions (OR 1.1; 95% CI 1.0–1.3) significantly associated with quit attempt in the past year.

Despite the existence of various evidence-based approaches to enhance tobacco cessation among people with MI, ‘cold-turkey’ was the most preferred method in this sample. In addition, this study highlighted ethnicity, importance to quit, age at 1st smoke, and receipt of brief interventions as important factors to consider when tailoring tobacco cessation in this population. Though ethnicity is a non-modifiable factor, an informed provider may intervene skillfully by addressing socio-cultural barriers specific to an ethnic group. Lower ratings on the motivation ruler and early age of smoking initiation could also inform providers when using motivational interviewing and other evidence-based tobacco-cessation approaches.

Evidence is mixed on e-cigarette's effectiveness as a tobacco cessation aid. Research suggests that e-cigarette users face greater barriers to quitting tobacco.

To examine the association between e-cigarette use and tobacco cessation outcomes among quitline callers.

We examined 2,204 callers who enrolled and completed 7-month follow-up surveys between April 2014 and January 2017. We examined the association between any e-cigarette use and tobacco cessation. We also evaluated these relationships by e-cigarette use patterns between enrollment and 7-month follow-up: sustained, adopted, discontinued, and non-use. We used multivariable logistic regression to control for caller characteristics, tobacco history, and program utilization.

Overall, 18% of callers reported using e-cigarettes at enrollment, follow-up, or both. Compared to non-users, e-cigarette users were more likely to be younger, non-Hispanic, and report a mental health condition. The adjusted odds of tobacco cessation were not statistically different for callers who used e-cigarettes compared to those who did not (adjusted odds ratios = 1.02, 95% confidence interval 0.79–1.32). Results were similar when examining cessation by patterns of e-cigarette use.

E-cigarette use was not associated with tobacco cessation. This suggests that e-cigarette use may neither facilitate nor deter tobacco cessation among quitline callers. Future research should continue exploring how e-cigarette use affects quitting.