The efficacy and acceptability of pharmacological monotherapies and e-cigarette on smoking cessation: a systemic review and network meta-analysis.

Background and aims: Several pharmacological interventions, such as nicotine replacement therapy (NRT), varenicline, and bupropion, have been approved for clinical use of smoking cessation. E-cigarettes (EC) are increasingly explored by many RCTs for their potentiality in smoking cessation. In addition, some RCTs are attempting to explore new drugs for smoking cessation, such as cytisine. This network meta-analysis (NMA) aims to investigate how these drugs and e-cigarettes compare regarding their efficacy and acceptability. Materials and methods: This systematic review and NMA searched all clinical studies on smoking cessation using pharmacological monotherapies or e-cigarettes published from January 2011 to May 2022 using MEDLINE, COCHRANE Library, and PsychINFO databases. NRTs were divided into transdermal (TDN) and oronasal nicotine (ONN) by administrative routes, thus 7 network nodes were set up for direct and indirect comparison. Two different indicators measured the efficacy: prevalent and continuous smoking abstinence. The drop-out rates measured the acceptability. Results: The final 40 clinical studies included in this study comprised 77 study cohorts and 25,889 participants. Varenicline is more effective intervention to assist in smoking cessation during 16-32 weeks follow-up, and is very likely to prompt dropout. Cytisine shows more effectiveness in continuous smoking cessation but may also lead to dropout. E-cigarettes and oronasal nicotine are more effective than no treatment in encouraging prevalent abstinence, but least likely to prompt dropout. Finally, transdermal nicotine delivery is more effective than no treatment in continuous abstinence, with neither significant effect on prevalent abstinence nor dropout rate. Conclusion: This review suggested and agreed that Varenicline, Cytisine and transdermal nicotine delivery, as smoking cessation intervention, have advantages and disadvantages. However, we had to have reservations about e-cigarettes as a way to quit smoking in adolescents.

The Experiences of People Who Smoke With Type 2 Diabetes: A Qualitative Interview Study Using the Capability, Opportunity, Motivation, and Behavior Model.

ABSTRACT: Few interventions to support smoking cessation include content specifically about diabetes. This is problematic, as people with diabetes face unique challenges when they stop smoking. The purpose of this study was to understand patients' needs and challenges in relation to smoking with Type 2 diabetes and assess the acceptability of a text message intervention to support smoking cessation. People who smoke and have Type 2 diabetes in the United States and the United Kingdom were recruited to participate in semistructured interviews (n = 20), guided by the Capability, Opportunity, Motivation, and Behavior model. A combination of inductive and deductive approaches with framework analysis was used to analyze the data. Results indicated that the participants' experiences related to the constructs of the Capability, Opportunity, Motivation, and Behavior model and the categories of mental health and diabetes distress were also notable parts of their experiences. Results can be used to guide intervention development in this unique group.

[Smoking and tuberculosis]. / Tabac et tuberculose.

SMOKING AND TUBERCULOSIS. Tuberculosis and smoking are responsible for high mortality worldwide. Tuberculosis causes 9 million incident cases and 1.6 million deaths every year. Smoking increases the risk of infection by Mycobacterium tuberculosis and of severe tuberculosis disease with death or recurrence. Cessation of smoking improves the course of the disease, promoting adherence to anti-tuberculosis treatment and definitive cure. All health-care professionals involved in tuberculosis care must be involved to help smokers with tuberculosis to quit.

TABAC ET TUBERCULOSE. La tuberculose et le tabagisme sont à l'origine d'une importante mortalité dans le monde. La tuberculose cause 9 millions de cas incidents et 1,6 million de décès chaque année. Le tabagisme augmente les risques d'infection par Mycobacterium tuberculosis et de tuberculose maladie sévère avec décès ou récidive. L'arrêt du tabac améliore le cours de l'infection, favorisant l'adhésion des patients au traitement antituberculeux et la guérison définitive. Tous les professionnels de santé doivent s'investir dans la mission d'aide à l'arrêt du tabac des fumeurs atteints de tuberculose.

Smartband-based smoking detection and real-time brief mindfulness intervention: findings from a feasibility clinical trial.

BACKGROUND: Smartbands can be used to detect cigarette smoking and deliver real time smoking interventions. Brief mindfulness interventions have been found to reduce smoking. OBJECTIVE: This single arm feasibility trial used a smartband to detect smoking and deliver brief mindfulness exercises. METHODS: Daily smokers who were motivated to reduce their smoking wore a smartband for 60 days. For 21 days, the smartband monitored, detected and notified the user of smoking in real time. After 21 days, a 'mindful smoking' exercise was triggered by detected smoking. After 28 days, a 'RAIN' (recognize, allow, investigate, nonidentify) exercise was delivered to predicted smoking. Participants received mindfulness exercises by text message and online mindfulness training. Feasibility measures included treatment fidelity, adherence and acceptability. RESULTS: Participants (N=155) were 54% female, 76% white non-Hispanic, and treatment starters (n=115) were analyzed. Treatment fidelity cutoffs were met, including for detecting smoking and delivering mindfulness exercises. Adherence was mixed, including moderate smartband use and low completion of mindfulness exercises. Acceptability was mixed, including high helpfulness ratings and mixed user experiences data. Retention of treatment starters was high (81.9%). CONCLUSIONS: Findings demonstrate the feasibility of using a smartband to track smoking and deliver quit smoking interventions contingent on smoking.

Effectiveness of the Green Heart Smartphone Application as a Self-Management Intervention for Hypertension and Dyslipidemia: A Randomized Clinical Trial.

BACKGROUND: Cardiovascular disease (CVD) is a major global health concern, the leading cause of death and disability. Thus, preventive interventions targeting modifiable risk factors are essential. Mobile-health technologies have emerged as promising tools for improving prevention by modifying risk factors. We created the "Green Heart" mobile app to help coronary artery disease (CAD) patients control their risk factors. The app has three modules: smoking cessation, dyslipidemia (DLP) control, and blood pressure (BP) management. This study evaluated the app's performance in monitoring hypertension (HTN) and DLP among known CAD cases. METHODS: A randomized controlled trial enrolled 1590 CAD subjects, including 1114 hypertensive patients and 1488 subjects with DLP, and assigned them randomly to paper-based education or application-based groups. RESULTS: Regarding HTN, after 6 months, we finally analyzed 545 and 546 hypertensive patients, assigned to the conventional and app groups, respectively. Patients in the app group were more likely to have their BP managed successfully (88.6% vs. 78.5%; P<0.001). The app group showed higher odds of successful BP management (odds ratio [OR]: 2.13; 95% CI: 1.51 - 3.03). Regarding DLP, we analyzed 728 patients in the conventional and 714 patients in the app group. A higher percentage of patients in the app group (24.8%) had low-density lipoprotein cholesterol (LDL-C) levels less than 70 mg/dL (16.1%; P<0.001). The app group showed higher odds of reducing LDL-C (OR: 1.72; 95% CI: 1.32-2.26). CONCLUSION: We found that using the Green Heart app in the self-monitoring setting significantly improved BP and DLP management across the study population.

Evaluation of the impact of the COVID-19 pandemic on a smoking cessation service in Derbyshire: An interrupted time series analysis.

BACKGROUND: Data published early in the COVID-19 pandemic suggested that smokers infected with SARS-CoV-2 were more likely to need hospital treatment or die than non-smokers, and thus this was seen as a motivator to encourage smokers to make a quit attempt. Live Life Better Derbyshire (LLBD) is an integrated lifestyle service providing free support for residents Derbyshire, UK, who want to quit smoking. On 19 March 2020, LLBD converted from offering face-to-face cessation support to a smoking cessation service delivered remotely. METHODS: Interrupted time series analysis to investigate the impact of COVID-19, and the shift to remote delivery of smoking cessation support, on the number of smokers who accessed cessation support with LLBD, set a quit date, and self-reported having quit at 4-week follow-up. RESULTS: 11,393 episodes of smoking cessation support were opened with LLBD between 01 January 2018 and 31 December 2021. The weekly count of all outcomes was increasing prior to the date when LLBD converted to remote-only delivery. There was a 20% immediate drop in the number of episodes opened coinciding with this date (IRR 0.88, 95% CI 0.646-0.992) but no change in the number of quit dates set or 4-week quits or the underlying longer-term trends. CONCLUSIONS: The COVID-19 pandemic, and associated shift to remote delivery of smoking cessation support by LLBD, had no substantial sustained overall impact on measures of smoking cessation service activity and success.

Unveiling the Impact of Smokers' Self-Construals on the Effectiveness of Smoking Cessation Campaigns: A Comparative Analysis of E-Cigarettes and Combustible Cigarettes.

Objective: This research conducted two studies in South Korea to explore the relationship between smokers' self-construals and the types of cigarettes they use, emphasizing their combined effects on cessation campaign effectiveness. Methods: Study 1 explored how smokers' self-construals influenced their intentions to quit smoking or vaping, considering their primary cigarette usage. Study 2 further investigated this relationship within cessation campaigns, employing messages framed by both self-construal (independent vs. interdependent) and cigarette type (combustible vs. electronic). Results: The results of Study 1 showed that individuals with a strong interdependent self-construal were more likely to express intentions to quit smoking or vaping when using e-cigarettes compared to combustible cigarettes. Similarly, Study 2 demonstrated that cessation messages for e-cigarettes were more effective in eliciting intentions to quit when presented with an interdependent self-construal frame, while messages for combustible cigarettes showed greater effectiveness with an independent self-construal frame. Conclusion: Campaigns solely focused on independent self-construals might not effectively persuade e-cigarette users to quit, as they may prioritize communal wellbeing over individual benefits. Adapting anti-e-cigarette campaigns to align with the values of interdependent self-construals could yield better outcomes in promoting cessation among e-cigarette users.

The trajectory of smoking cessation after treatment and its related factors in Taiwan.

Smoking has multiple negative effects on health; therefore, the Taiwanese government provides smoking cessation clinics to smokers. This study aimed to explore the trajectory of smoking cessation after smokers received treatment and the variables related to different trajectories. A retrospective longitudinal study was conducted, in which 735 adult smokers who received smoking cessation medications were recruited. The participants' demographic characteristics, chronic diseases, smoking characteristics, and cigarette dependence were collected from chart review. The amount of smoking was collected at baseline, and at 1 week, 1 month, 3 months, and 6 months after treatment. The Proc Traj procedure for group-based modeling and multinomial logistic regression were used for statistical analysis. Three trajectories were identified: early quitters (28.03%), late quitters (11.43%) and reducers (60.54%). Compared with early quitters, reducers were younger and had a higher probability of severe cigarette dependence. Compared with early quitters, late quitters had a higher number of taking smoking cessation medications. The findings revealed that approximately 60% of participants who received smoking cessation treatment could not completely quit smoking, and that age, number of medications taken, and cigarette dependence were significant predictors of different trajectories.

Barriers and facilitators to perioperative smoking cessation: A scoping review.

OBJECTIVE: Smoking cessation interventions are underutilized in the surgical setting. We aimed to systematically identify the barriers and facilitators to smoking cessation in the surgical setting. METHODS: Following the Joanna Briggs Institute (JBI) framework for scoping reviews, we searched 5 databases (MEDLINE, Embase, Cochrane CENTRAL, CINAHL, and PsycINFO) for quantitative or qualitative studies published in English (since 2000) evaluating barriers and facilitators to perioperative smoking cessation interventions. Data were analyzed using thematic analysis and mapped to the theoretical domains framework (TDF). RESULTS: From 31 studies, we identified 23 unique barriers and 13 facilitators mapped to 11 of the 14 TDF domains. The barriers were within the domains of knowledge (e.g., inadequate knowledge of smoking cessation interventions) in 23 (74.2%) studies; environmental context and resources (e.g., lack of time to deliver smoking cessation interventions) in 19 (61.3%) studies; beliefs about capabilities (e.g., belief that patients are nervous about surgery/diagnosis) in 14 (45.2%) studies; and social/professional role and identity (e.g., surgeons do not believe it is their role to provide smoking cessation interventions) in 8 (25.8%) studies. Facilitators were mainly within the domains of environmental context and resources (e.g., provision of quit smoking advice as routine surgical care) in 15 (48.4%) studies, reinforcement (e.g., surgery itself as a motivator to kickstart quit attempts) in 8 (25.8%) studies, and skills (e.g., smoking cessation training and awareness of guidelines) in 5 (16.2%) studies. CONCLUSION: The identified barriers and facilitators are actionable targets for future studies aimed at translating evidence informed smoking cessation interventions into practice in perioperative settings. More research is needed to evaluate how targeting these barriers and facilitators will impact smoking outcomes.

Smoking patterns and the intention to quit in German cancer patients: a cross-sectional study.

BACKGROUND: Continued smoking after a cancer diagnosis can be associated with lower treatment tolerance, poorer outcomes, and reduced quality of life compared to non-smoking cancer patients or to those who have quit. Yet about 60% of patients continue to smoke after being diagnosed and find it difficult to quit. To address this problem, it is necessary to identify current and past smoking patterns (e.g., frequency of use, types of tobacco products) and determine whether there is motivation to quit. Similarly, factors associated with continued smoking should be identified. These data will provide the basis for the development of smoking cessation programs tailored to the needs of cancer patients. METHODS: A questionnaire was distributed to cancer patients older than 18 years in a German Comprehensive Cancer Center. Participating cancer patients were divided into three main groups: 1) patients who stopped smoking before being diagnosed with cancer (Ex-before); 2) patients who stopped smoking after a cancer diagnosis (Ex-after); and 3) patients who currently smoke cigarettes (CS). Sociodemographic, medical, and psychosocial data were collected, as well as smoking patterns and the motivation to quit smoking. RESULTS: About half of patients (51%) who smoked before diagnosis continue to smoke after a cancer diagnosis. Being diagnosed with a tobacco-related cancer type was associated with a decreased probability of continued smoking. Patients with tobacco-related tumors and receiving positive support in burdensome situations were more likely to have a higher cigarette dependence. Of all CS, 59.1% had intention to quit, and 22.7% reported having taken action to quit. The support by a smoking cessation program was considered important. CS were willing to spend up to €100 for support and were open to multiple sessions per week, group sessions, one-on-one sessions and/or online support. CONCLUSION: These findings underscore the importance of educating cancer patients about the consequences of smoking and to provide them with support to quit. Identified risk factors may further help to recognize cancer patients with high risk of continued smoking after diagnosis. TRIAL REGISTRATION: The study was registered at OSF ( https://osf.io/3c9km ) and published as a study protocol at " https://bmjopen.bmj.com/content/13/4/e069570 ".

[Tobacco cessation - the underused potential in clinical routine]. / Tabakentwöhnung ­ die bisher wenig genutzte Chance im ärztlichen Alltag.

Tobacco control, psychosocial and medical assistance regarding tobacco cessation is still a hidden potential within the German health care system. So far doctors rarely talk to their patients about their smoking status and physical and psychological benefits of quitting.This paper focusses on recommended current diagnostic and treatment standards, as well as evidence-based methods to address the topic on how to stop smoking and its association with certain diseases such as COPD, lung cancer and COVID-19 infection. The role of e-cigarettes as a cessation tool and its health related risks are critically examined. Consequences and advice how to implement smoking cessation procedures into daily practice are presented.

[Application of the cigarette purchase tasks in achieving China' s tobacco control goals].

OBJECTIVE: To assess cigarette demand among Chinese smokers through a cigarette purchase task (CPT) and to evaluate cigarette prices under different hypothetical scenarios in order to meet the goals of smoking prevalence reduction in China. METHODS: In the study, 447 participants completed a hypothetical CPT at baseline assessments of a trial, thus, cigarette demand curves were individually fitted for each participant using an exponentiated version of the exponential demand model. Typically, five demand indices were derived, intensity (consumption when free), breakpoint (first price at which consumption is suppressed to 0), maximum output (Omax), maximum price (Pmax, price at which Omax occurred), and elasticity (the ratio of the change in quantity demanded to the change in price). A one-way analysis of variance was used to explore the correlations between the cigarette purchase task indices and socio-demographic and smoking characteristics. The one-way decay model was employed to simulate the smoking cessation rates and determine optimal cigarette prices in a series of scenarios for achieving 20% smoking prevalence. RESULTS: The price elasticity drawn from CPT was 0.54, indicating that a 10% price increase could reduce smoking by 5.4% in the participated smokers. Smokers with higher income were less sensitive to cigarette prices (elasticity=-2.31, P=0.028). Cigarette purchase task indices varied significantly among the smokers with different prices of commonly used cigarettes, tobacco dependence, and smoking volume. The smokers who consumed cigarettes of higher prices reported higher breakpoint, Omax and Pmax, but lower intensity (P=0.001). The smokers who were moderately or highly nicotine dependent reported higher intensity, breakpoint, Omax and Pmax, and they had lower intensity (P=0.001). The smokers who had a higher volume of cigarettes reported higher intensity and Omax, and lower intensity (P < 0.001). To achieve the goal of reducing smoking prevalence to 20% in mainland China, we estimated the desired increase on smoking cessation rate and prices accordingly in a series of scenarios, considering the gender variance and reduced smoking initiation. In scenario (a), to achieve a smoking prevalence goal of 20%, it would be necessary for 24.81% of the current smokers to quit smoking when there were no new smokers. Our fitting model yielded a corresponding value of 59.64 yuan (95%CI 53.13-67.24). Given the assumption in scenario (b) that only males quitted smoking, the desired cessation rates would be 25.82%, with a higher corresponding price of 62.15 yuan (95%CI 55.40-70.06) to induce desired cessation rates. In the proposed scenario (c) where 40 percent of the reduction in smoking prevalence came from reduced smoking initiation, and females and males equally quitted smoking due to increased cigarette prices, the price of a pack of cigarettes would be at least 37.36 yuan (95%CI 32.32-42.69) (equals to $ 5.20) per pack to achieve the cessation rate of 14.89 percent. In scenario (d) where only males quitted smoking due to increased cigarette prices considering the reduced smoking initiation, the respective smoking cessation rates should be 15.49% with the desired prices of 38.60 yuan (95%CI 33.53-44.02). After adjusting for education levels and income levels in scenario (c), the price of cigarettes would be at least 37.37 yuan/pack (equals to $ 5.20) (95%CI 30.73-44.94) and 37.84 yuan/pack (equals to $ 5.26) (95%CI 31.94-44.53), respectively. CONCLUSION: Cigarette purchase task indices are significantly associated with income levels and prices of commonly used cigarettes, levels of tobacco dependence, and smoking volume, which is inspiring in studying price factors that influence smoking behavior. It is suggested that higher cigarette prices, surpassing the current actual market level, is imperative in mainland China. Stronger policy stra-tegies should be taken to increase tobacco taxes and retail cigarette prices to achieve the Healthy China 2030 goal of reducing smoking prevalence to 20%.

Knowledge of Tunisian physicians about electronic cigarettes.

INTRODUCTION: The electronic cigarette is a new-generation smoking product whose mechanism of use could, in theory, minimize adverse health effects. AIM: Determine the knowledge and perceptions of a sample of Tunisian doctors regarding electronic cigarettes. METHODS: We conducted a descriptive cross-sectional study over a two-month period with a sample of Tunisian doctors. We used an online self-questionnaire on physicians' knowledge and perceptions of e-cigarettes. RESULTS: Data were obtained from 216 physicians. Of the participants, 97.2% were familiar with e-cigarettes, 56.5% reported low knowledge, and 83.4% expressed motivation to learn more about e-cigarettes. Overall, 83.8% of doctors felt that electronic cigarettes are harmful to the user's health. Use of this product would increase the risk of cancer according to 73.1% of participants, the risk of cardiovascular disease according to 68.5% of participants, and the risk of chronic lung disease according to 79.2% of participants. The perception of e-cigarettes as harmful to the user's health was associated with the physicians' medical specialty (p=0.032). The recommendation of e-cigarettes as a smoking cessation tool was negatively correlated with addictology training (p=0.027). CONCLUSIONS: Physicians' knowledge of electronic cigarettes is heterogeneous, reflecting the current lack of information and consensus.

Perspectives on Electronic Nicotine Delivery System Use Cessation Among Adults in Rural Areas: Implications for Future Studies.

INTRODUCTION: More young adults (age 18-24 years) in rural areas versus urban areas use electronic nicotine delivery systems (ENDS) - also known as e-cigarettes. Little is known about young adults' perceptions toward ENDS use and cessation. The objective of this study was to examine barriers and facilitators to ENDS use cessation among young adults living in rural areas, as well as their perceptions about ENDS use and cessation and to determine implications for future cessation studies. METHODS: We administered cross-sectional online surveys to young adults living in rural Midwestern counties. A total of 100 individuals responded to the surveys. Descriptive statistics were used to report their perceptions of ENDS use as well as barriers and facilitators to ENDS use cessation. The content analysis method was used to analyze the answers to an open-ended question regarding perceptions about the ENDS use cessation in the context of rural areas. RESULTS: Barriers to ENDS use cessation included perceived advantages to ENDS use, high nicotine dependence, and the perception that ENDS use was less harmful cigarettes. Facilitators to ENDS use cessation included cost of ENDS use, perceived harm, and high confidence in ability to quit. Participants' perceptions about ENDS use cessation in the context of rural areas were conceptualized under the themes of (1) exposure to and initiation of ENDS use, (2) continuation of ENDS use, and (3) prevention and cessation of ENDS use. CONCLUSIONS: Health care providers, tobacco control researchers, and public health advocates should be aware of barriers and facilitators to ENDS use cessation among young adults for future cessation intervention studies relevant specifically to rural areas.

Diet quality as assessed by the healthy eating index-2020 among different smoking status: an analysis of national health and nutrition examination survey (NHANES) data from 2005 to 2018.

BACKGROUND: Combining smoking with poor eating habits significantly elevates the risk of chronic illnesses and early death. Understanding of how dietary quality shifts post-smoking cessation remains limited. The objective of this study is to examine dietary quality - using Healthy Eating Index (HEI - 2020) and its 13 components, among current, former, and never smokers, and particularly the impact of quitting and the duration of cessation on dietary habits. METHODS: A cross-sectional analysis of 31,569 adults from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 was conducted. Dietary quality was assessed using HEI-2020 scores, which were determined by NIH developed - simple HEI scoring algorithm per person. Smoking status was categorized into current, former, and never smokers, with further subdivisions for current (heavy/light smokers) and former smokers (duration post-cessation). Descriptive analysis and multiple regression models weighted to represent the US population were performed. RESULTS: The current smoking rate was 19.4%, with a higher prevalence in males (22.5%) than females (17.5%). Current smokers reported statistically significantly lower HEI total score than both former and never smokers. Former smokers exhibited HEI scores similar to those of never smokers. The adjusted HEI total scores for current, former, and never smokers were 49.2, 54.0, and 53.3, respectively, with a statistically significant difference (p < 0.001). Moreover, light smokers had better total HEI score than heavy smokers (46.8 vs. 50.8, p < 0.001, respectively), but former and never smokers scored even higher. Quitting smoking immediately improved dietary quality, with former smokers reaching the dietary levels of never smokers within 5-10 years (53.8 vs. 53.3, p > 0.05, respectively). Compared to current smokers, former smokers tended to consume more beneficial foods (e.g., fruits, vegetables, greens and beans, whole grains, proteins, and fatty acids), while also consuming more sodium and less added sugar. CONCLUSIONS: Current smokers, particularly heavy smokers, exhibit poorer dietary habits than former and never smokers. The dietary quality of former smokers aligns with never smokers over time, highlighting the positive impact of smoking cessation on diet. This has implications for reducing chronic disease risks associated with poor diet and smoking.

Cigarette Smoking Among Pregnant Women During the Perinatal Period: Prevalence and Health Care Provider Inquiries - Pregnancy Risk Assessment Monitoring System, United States, 2021.

Cigarette smoking during pregnancy increases the risk for pregnancy complications and adverse infant outcomes such as preterm delivery, restricted fetal growth, and infant death. Health care provider counseling can support smoking cessation. Data from the 2021 Pregnancy Risk Assessment Monitoring System were analyzed to estimate the prevalence of smoking before, during, and after pregnancy; quitting smoking during pregnancy; and whether health care providers asked about cigarette smoking before, during, and after pregnancy among women with a recent live birth. In 2021, the prevalence of cigarette smoking was 12.1% before pregnancy, 5.4% during pregnancy, and 7.2% during the postpartum period; 56.1% of women who smoked before pregnancy quit smoking while pregnant. Jurisdiction-specific prevalences of smoking ranged from 3.5% to 20.2% before pregnancy, 0.4% to 11.0% during pregnancy, and 1.0% to 15.1% during the postpartum period. Among women with a health care visit during the associated period, the percentage of women who reported that a health care provider asked about smoking was 73.7% at any health care visit before pregnancy, 93.7% at any prenatal care visit, and 57.3% at a postpartum checkup. Routine assessment of smoking behaviors among pregnant and postpartum women can guide the development and implementation of evidence-based tobacco control measures at the jurisdiction and health care-system level to reduce smoking among pregnant and postpartum women.

Feasibility of restricting e-cigarettes to prescription only for smoking cessation.

E-cigarette use among youth in Canada has risen to epidemic proportions. E-cigarettes are also moderately useful smoking cessations aids. Restricting e-cigarettes to prescription only smoking cessation aids could help limit youth's access to them while keeping them available as therapies for patients who smoke conventional cigarettes. In Canada, drugs or devices must be approved by regulatory bodies such as Health Canada in order to become licensed prescription medications. A similar situation is underway in Australia, where e-cigarettes have been restricted to prescription only. This commentary explores the feasibility of a similar regulation for e-cigarettes in Canada as prescription smoking cessation aids.

Global smoking-related deaths averted due to MPOWER policies implemented at the highest level between 2007 and 2020.

BACKGROUND: In response to the harm caused by tobacco use worldwide, the World Health Organization (WHO) World Health Assembly actioned the WHO Framework Convention on Tobacco Control (FCTC) in 2005. To help countries meet their FCTC obligations, the WHO introduced in 2008 the MPOWER policy package and by 2020 the FCTC had been ratified by 182 parties. The package consists of six evidence-based demand reduction smoking cessation policies to assist countries to achieve best practice. We used published evaluation results and replicated the published model to estimate current policy achievement and demonstrate the impact and equity of the MPOWER policy package in reducing the global number of smokers and smoking-attributable deaths (SADs) between 2007 and 2020. METHODS: We replicated an evaluation model (the Abridged SimSmoke model) used previously for country impact assessments and validated our replicated reduction in SADs for policies between 2014 and 2016 against the published results. The replicated model was then applied to report on the country level SADs averted from achieving the highest level of implementation, that is best practice in MPOWER policies, between 2016 and 2020. The latest results were then combined with past published results to estimate the reduction in SADs since the commencement of the MPOWER policy package. Country level income status was used to investigate the equity in the uptake of MPOWER policies worldwide. RESULTS: Identical estimates for SADs in 41 out of 56 MPOWER policies implemented in 43 countries suggested good agreement in the model replication. The replicated model overestimated the reduction in SADs by 159,800 (1.5%) out of a total of 10.5 million SADs with three countries contributing to the majority of this replication discrepancy. Updated analysis estimated a reduction of 8.57 million smokers and 3.37 million SADs between 2016 and 2020. Between 2007 and 2020, 136 countries had adopted and maintained at least one MPOWER policy at the highest level which was associated with a reduction in 81.0 million smokers and 28.3 million SADs. Seventy five percent of this reduction was in middle income countries, 20% in high income and less than 5% in low income countries. CONCLUSIONS: Considerable progress has been made by MPOWER policies to reduce the prevalence of smokers globally. However, there is inequality in the implementation and maintenance, reach and influence, and the number of SADs averted. Future research to modify the model could provide a more comprehensive evaluation of past and future progress in tobacco control policies, worldwide.

Factors Associated with Patient Education in Patients with Chronic Obstructive Pulmonary Disease (COPD) - A Primary Health Care Register-Based Study.

Purpose: Patient education in chronic obstructive pulmonary disease (COPD) is recommended in treatment strategy documents, since it can improve the ability to cope with the disease. Our aim was to identify the extent of and factors associated with patient education in patients with COPD in a primary health care setting. Patients and Methods: In this nationwide study, we identified 29,692 COPD patients with a registration in the Swedish National Airway Register (SNAR) in 2019. Data on patient education and other clinical variables of interest were collected from SNAR. The database was linked to additional national registers to obtain data about pharmacological treatment, exacerbations and educational level. Results: Patient education had been received by 44% of COPD patients, 72% of whom had received education on pharmacological treatment including inhalation technique. A higher proportion of patients who had received education were offered smoking cessation support, had performed spirometry and answered the COPD Assessment Test (CAT), compared with patients without patient education. In the adjusted analysis, GOLD grade 2 (OR 1.29, 95% CI 1.18-1.42), grade 3 (OR 1.41, 95% CI 1.27-1.57) and grade 4 (OR 1.79, 95% CI 1.48-2.15), as well as GOLD group E (OR 1.17, 95% CI 1.06-1.29), ex-smoking (OR 1.70, 95% CI 1.56-1.84) and current smoking (OR 1.45, 95% CI 1.33-1.58) were positively associated with having received patient education, while cardiovascular disease (OR 0.92, 95% CI 0.87-0.98) and diabetes (OR 0.93, 95% CI 0.87-1.00) were negatively associated with receipt of patient education. Conclusion: Fewer than half of the patients had received patient education, and the education had mostly been given to those with more severe COPD, ex- and current smokers and patients with fewer comorbidities. Our study highlights the need to enhance patient education at an earlier stage of the disease.