Point Prevalence Abstinence Rates Research Articles

A pilot randomized controlled trial of smartphone-assisted mindfulness-based intervention with contingency management for smokers with mood disorders.

Adult smokers receiving outpatient psychiatric treatment for mood disorders were randomized to receive a smartphone-assisted mindfulness-based smoking cessation intervention with contingency management (SMI-CM, n = 25) or enhanced standard treatment (EST, n = 24) with noncontingent rewards. Participants in SMI-CM were prompted to practice audio-guided mindfulness five times per day for 38 days (vs. no comparison intervention in EST), and received monetary incentives for carbon monoxide (CO) ≤ 6 ppm. The primary outcome was biochemically verified 7-day point prevalence abstinence rates 2, 4, and 13 weeks after a target quit day. Of the 49 participants, 63.3% were Latinx and 30.6% Black; 75.5% reported household incomes < $25,000. Abstinence rates for SMI-CM were 40.0%, 36.0%, and 16.0% versus 4.2%, 8.3%, and 4.2% in EST at weeks 2, 4, and 13. A generalized estimating equations (GEE) model showed significant overall differences in abstinence rates in SMI-CM versus EST (adjusted odds ratio [AOR] = 8.12, 95% CI = 1.42-46.6, p = .019). Those who received SMI-CM reported significantly greater reduction in smoking-specific experiential avoidance from baseline to 3 days prior to quit date (β = -7.21, 95% CI = -12.1-2.33, p = .006). SMI-CM may increase cessation rates among smokers with mood disorders, potentially through reduced smoking-specific experiential avoidance. SMI-CM is a promising intervention, and warrants investigation in a fully powered randomized controlled trial (RCT). (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Feature-Level Analysis of a Smoking Cessation Smartphone App Based on a Positive Psychology Approach: Prospective Observational Study.

BackgroundSmoking cessation smartphone apps have emerged as highly accessible tools to support smoking cessation efforts. It is unknown how specific app features contribute to user engagement over time and relate to smoking outcomes.ObjectiveTo provide a feature-level analysis of the Smiling Instead of Smoking app (version 2) and to link feature use to subsequent smoking cessation.MethodsNondaily smokers (N=100) used the app for a period of 49 days (1 week before quitting and 6 weeks after quitting). Participants self-reported 30-day point-prevalence abstinence at the end of this period and at a 6-month follow up (the survey response rate was 94% and 89% at these points, respectively). Self-reported 30-day point prevalence abstinence rates were 40% at the end of treatment and 56% at the 6-month follow up. The app engaged users in both positive psychology content and traditional behavioral smoking cessation content. The app sent push notifications to prompt participants to complete prescribed content (ie, a “happiness exercise” every day and a “behavioral challenge” to use the app’s smoking cessation tools on 15 out of 49 days). Actions that participants took within the app were timestamped and recorded.ResultsParticipants used the app on 24.7 (SD 13.8) days out of the 49 prescribed days, interacting with the happiness content on more days than the smoking content (23.8, SD 13.8 days vs 17.8, SD 10.3 days; t99=9.28 [2-tailed]; P<.001). The prescribed content was frequently completed (45% of happiness exercises; 57% of behavioral challenges) and ad libitum tools were used on ≤7 days. Most participants used each ad libitum smoking cessation tool at least once, with higher use of personalized content (≥92% used “strategies,” “cigarette log,” “smoke alarms,” and “personal reasons”) than purely didactic content (79% viewed “benefits of quitting smoking”). The number of days participants used the app significantly predicted 30-day point-prevalence abstinence at the end of treatment (odds ratio [OR] 1.05, 95% CI 1.02-1.09; P=.002) and at the 6-month follow up (OR 1.04, 95% CI 1.008-1.07; P=.01). The number of days participants engaged with the happiness content significantly predicted smoking abstinence at the end of treatment (OR 1.05, 95% CI 1.02-1.08; P=.002) and at the 6-month follow up (OR 1.04, 95% CI 1.007-1.07; P=.02). This effect was not significant for the number of days participants engaged with the smoking cessation content of the app, either at the end of treatment (OR 1.04, 95% CI 0.996-1.08, P=.08) or at the 6-month follow up (OR 1.02, 95% CI 0.98-1.06; P=.29).ConclusionsGreater app usage predicted greater odds of self-reported 30-day point-prevalence abstinence at both the end of treatment and over the long term, suggesting that the app had a therapeutic benefit. Positive psychology content and prescriptive clarity may promote sustained app engagement over time.Trial RegistrationClinicalTrials.gov NCT03951766; https://clinicaltrials.gov/ct2/show/NCT03951766

Transcranial Magnetic Stimulation for Long-Term Smoking Cessation: Preliminary Examination of Delay Discounting as a Therapeutic Target and the Effects of Intensity and Duration.

BackgroundRepetitive transcranial magnetic stimulation (rTMS) is a novel treatment for smoking cessation and delay discounting rate is novel therapeutic target. Research to determine optimal therapeutic targets and dosing parameters for long-term smoking cessation is needed. Due to potential biases and confounds introduced by the COVID-19 pandemic, we report preliminary results from an ongoing study among participants who reached study end prior to the pandemic.MethodsIn a 3 × 2 randomized factorial design, participants (n = 23) received 900 pulses of 20 Hz rTMS to the left dorsolateral prefrontal cortex (PFC) in one of three Durations (8, 12, or 16 days of stimulation) and two Intensities (1 or 2 sessions per day). We examined direction and magnitude of the effect sizes on latency to relapse, 6-month point-prevalence abstinence rates, research burden, and delay discounting rates.ResultsA large effect size was found for Duration and a medium for Intensity for latency to relapse. Increasing Duration increased the odds of abstinence 7–8-fold while increasing Intensity doubled the odds of abstinence. A large effect size was found for Duration, a small for Intensity for delay discounting rate. Increasing Duration and Intensity had a small effect on participant burden.ConclusionFindings provide preliminary support for delay discounting as a therapeutic target and for increasing Duration and Intensity to achieve larger effect sizes for long-term smoking cessation and will provide a pre-pandemic comparison for data collected during the pandemic.Clinical Trial Registration[www.ClinicalTrials.gov], identifier [NCT03865472].

Smoking cessation by combined medication and counselling: a feasibility study in lung cancer patients

PurposeSmoking cessation in patients with diagnosed lung cancer has positive effects on cancer therapy and overall prognosis. Despite this, knowledge on smoking cessation in lung cancer patients is sparse.MethodsThis is an observational single centre, 12-week, prospective, single-arm trial at a tertiary lung cancer centre. Responsive patients were enrolled following confirmed lung cancer diagnosis. Smoking cessation intervention included counselling as well as pharmacotherapy. The primary endpoint was the point prevalence abstinence rate at week 12 based on biochemical verification. Secondary endpoints were the abstinence rate at week 26, quality of life and side effects.Results80 patients were enrolled. Mean age was 62.6 ± 7.9 years. Most patients (63%) were treated with chemotherapy or radiochemotherapy. 39 patients used nicotine replacement therapy, 35 varenicline whereas six patients did not use pharmacotherapy. During the study period 13 patients died. Data were available in 72 patients after 12 weeks and 57 patients at week 24. Point prevalence abstinence rates were 37.5% (95% CI 26.4–49.7%) at week 12 and 32.8% (95% CI 21.8–45.4%) at week 26, respectively. Quality of life and side effects were not significantly affected by pharmacotherapy.ConclusionIn conclusion, our results suggest that smoking cessation is feasible in patients with newly diagnosed lung cancer. The observed abstinence rate is comparable to other patient cohorts. Furthermore, pharmacotherapy in addition to cancer therapy was safe and did not show novel side effects in these seriously ill patients. Thus, smoking cessation should be an integral part of lung cancer treatment.Trial registration The study was conducted in accordance with good clinical practice standards (GCP) and approved by the local ethics committee (16/3/14), the European PAS registry (EUPAS8748) and the German BfArM (NIS-Studien-Nr. 5508). All patients provided written informed consent before study enrollment.

The effect of three-part breathing exercise on smoking cessation: A 6-month cluster-randomized clinical trial

IntroductionNegative affect was identified as an important barrier to smoking cessation. Three-part breathing exercise showed a significant effect on decreasing negative affect immediately after being practiced. Thus, this study evaluated the effect of three-part breathing exercise on smoking cessation. MethodsA 6-month cluster-randomized clinical trial was conducted. Forty-three participants recruited from 8 companies in Bangkok Metropolitan areas were randomly assigned at the cluster level into either the intervention or control groups. Control group (n = 23) received counseling for smoking cessation once a week for 12 weeks. Intervention group (n = 20) received counseling for smoking cessation plus a three-part breathing exercise program once a week for 12 weeks. The primary outcomes were 7-day point prevalence and continuous abstinence rate as validated by saliva cotinine. The secondary outcomes were cigarette cravings, nicotine withdrawal symptoms, affect and quality of life. ResultsThe results revealed no significant difference in smoking abstinence rate between the three-part breathing exercise and control group. Participants demonstrated significant pre-post improvement in cigarette cravings, nicotine withdrawal symptoms, affect, and quality of life within each group. ConclusionThere were no statistically significant differences between the two groups. However, the improvement in abstinence rate from the three-part breathing exercise was deemed clinically relevant. Thus, it may be recommended to smokers interested in smoking cessation and more research is needed on this topic.

Daily Cannabis Use Is a Barrier to Tobacco Cessation Among Tobacco Quitline Callers at 7-Month Follow-up.

Cannabis use is increasing among cigarette smokers in the United States. Prior studies suggest that cannabis use may be a barrier to smoking cessation. Yet, the extent to which this is the case among adults seeking to quit tobacco use remains unclear. Tobacco quitlines are the most common provider of no-cost treatment for adults who use smoke in the United States. This study investigated the association between cannabis use and smoking cessation outcomes among quitline callers. Participants included callers to the New York State Smokers' Quitline, who were seeking to quit smoking cigarettes and were contacted for outcome assessment 7 months after intake. Thirty-day point prevalence abstinence rates were calculated and compared among cannabis use groups, based on frequency of past-30-day cannabis use at baseline (none: 0 days, occasional: 1-9 days, regular: 10-19 days, and daily: 20-30 days). Approximately 8.3% (n = 283) of participants (n = 3396) reported past-30-day cannabis use at baseline. Callers with daily cannabis use (20-30 days per month) had significantly lower odds of 30-day abstinence, relative to those who did not use cannabis (odds ratio = 0.5; 95% confidence interval [0.3, 0.9]). Daily cannabis use appears to be associated with poorer smoking cessation treatment outcomes among adults seeking to quit smoking cigarettes via a quitline. Because quitlines are among the most accessible, affordable, and frequently utilized community-based treatments available in the United States, and the prevalence of cannabis use is increasing among cigarette smokers, detailed inquiry into cannabis use might enhance cigarette smoking cessation outcomes. Quitlines are free of cost and accessible to millions of smokers in the United States. The current study found an inverse relationship between daily cannabis use at baseline and 30-day abstinence from cigarette smoking at 7-month follow-up among New York State Smokers' Quitline callers. Findings suggest that daily cannabis use may be a barrier to smoking cessation and sustained abstinence among those seeking help to stop smoking cigarettes.

Abrupt versus gradual smoking cessation with pre-cessation varenicline therapy for Chinese treatment-seeking smokers: A retrospective, observational, cohort study

INTRODUCTIONThis study aimed to explore the efficacy of abrupt and gradual smoking cessation with pre-cessation varenicline therapy.METHODSA total of 278 smokers who experienced moderate-to-severe nicotine dependence and visited a Chinese smoking cessation outpatient clinic from March 2017 to February 2021 were enrolled. This was a retrospective, observational, cohort study. Participants were divided into two groups by the cessation strategy they received: the abrupt cessation group (n=139, tobacco was not controlled during the first 3 weeks before the target cessation date and smoking was entirely discontinued on the 22nd day) and the gradual cessation group (n=139, tobacco was gradually reduced in the first 3 weeks before the target cessation date and smoking was discontinued on the 22nd day). The abstinence rates were compared between groups (7-day point prevalence abstinence rates at 1, 3 and 6 months post-treatment; and 1-month and 3-month continuous abstinence rates of 6-month follow-up). Possible factors that influence efficacy, reasons for smoking cessation failure, and associated adverse events were also analyzed.RESULTSNo significant difference in the 7-day point prevalence abstinence rates at 1, 3 and 6 months post-treatment was observed between the groups (p>0.05). The 1-month continuous abstinence rate of the gradual cessation group was higher than that of the abrupt cessation group (51.1% vs 31.7%; χ2=10.812, p=0.001). The 3-month continuous abstinence rate of the gradual cessation group was also higher than that of the abrupt cessation group (42.4% vs 27.3%; χ2=6.983, p=0.008). Abrupt cessation was a risk factor for successful smoking cessation than gradual cessation (AOR=2.39; 95% CI: 1.15–3.85, p=0.013),the motivation of ‘prevention and treatment of own diseases’ reduced the risk of incomplete abstinence (AOR=0.87; 95% CI: 0.38–0.99, p=0.049). The incidence of adverse events was higher in the abrupt cessation group than in the gradual cessation group. The incidence rates of nausea and insomnia were statistically significant differences.CONCLUSIONSCompared with abrupt cessation, gradual smoking cessation with pre-cessation varenicline therapy produced higher abstinence rates and relatively milder withdrawal symptoms.

Feasibility and Acceptability of a Cognitive Behavioral Therapy-Based Smartphone App for Smoking Cessation in China: A Single-Group Cohort Study

BackgroundPrevious research has suggested that mobile phone applications (apps) may potentially increase quit rates. The purpose of this single-group cohort study sought to examine the feasibility and acceptability of a novel smartphone-based smoking cessation app designed for smoking cessation in China: smoking quit rate.MethodsA total of 180 smokers from two cities of mainland China with willingness to make a quit attempt were invited to this smoking cessation app program, a cognitive behavioral theory (CBT)-based smoking cessation intervention via a smartphone app. Participants received 37- to 44-day intervention (including 7- to 14-day pre-quit preparation and 33-day intervention from quit date). Feasibility and acceptability of the program, and smoking status were assessed at baseline stage (initial installation), pre-quit stage, and post-quit stage (days 7, 15, and 33 after quit date).ResultsA total of 163 (90.6%) participants completed the study. Among them, 76–89% of the participants logged into the app ≥1 time per day across stages (at baseline, during pre-quit stage, and on days 7, 15, and 33 of post-quit stage); approximately 90% of the participants were satisfied with the app across stages. A significant rise in self-reported overall satisfaction with the app is observed from baseline (93% at Time 1) to the end of the program (98% at Time 2, 33 days after quit date) (p = 0.021). Participants who believed/agreed this app can help them to quit smoking significantly increased from 69% at baseline to 97% at day 33 after quit date (p < 0.001). Participants were satisfied with most (80–90%) of the features, especially the information feature. Intention-to-treat analysis showed that the percentage of 33-day self-reported continuous prevalence abstinence was 63.9%, and 7-day point prevalence abstinence rate was 81.7, 87.2, and 77.8% on days 7, 15, and 33 after quit date, respectively.ConclusionsThis study demonstrated the feasibility and acceptability of the smartphone app intervention for smoking cessation and introduced a new digital treatment model, which is expected to overcome barriers facing accessing traditional in-person smoking cessation services and extend nationwide smoking cessation services in China.

Assessment of the real-world impact of the Thai smoking cessation programme on clinical outcomes: protocol for a multicentre prospective observational study.

Tobacco smoking is the most common preventable cause of morbidity and mortality in the world. In an effort to counteract the harmful consequences of smoking, various tobacco control measures have been implemented, including the use of smoking cessation programmes to reduce the number of new smokers as well as helping current smokers to quit smoking. In Thailand, the SMART Quit Clinic Program (FAH-SAI Clinics) was launched in 2010 to provide smoking cessation services by a multidisciplinary team. There are currently 552 FAH-SAI Clinics established across all 77 provinces of Thailand. This protocol describes a study aiming to evaluate the SMART Quit Clinic Program (FAH-SAI Clinics) in terms of programme performance and clinical outcomes. We hope that the results of the study could be used to improve the current service model and the programme's success. A multicentre prospective observational study will be conducted. The study will focus on 24 FAH-SAI Clinics across 21 provinces of Thailand. The primary outcomes are seven-day point prevalence abstinence rate and continuous abstinence rate at three and six months. The outcomes will be measured using a self-reported questionnaire and biochemical validated by exhaled carbon monoxide. This study will be the first real-world study that reports the effectiveness of the well-established smoking cessation programme in Thailand. Findings from this study can help improve the quality of smoking cessation services provided by multidisciplinary teams and other smoking cessation services, especially those implemented in low- and middle-income countries.

Nicotine replacement therapy ‘gift cards’ for hospital inpatients who smoke: a prospective before-and-after controlled pilot evaluation

IntroductionA common barrier identified by individuals trying to quit smoking is the cost of cessation pharmacotherapies. The purpose of this evaluation was to: (1) Assess the feasibility of offering nicotine...

Financial incentives for smoking cessation in pregnancy: multicentre randomised controlled trial

ObjectiveTo evaluate the efficacy of financial incentives dependent on continuous smoking abstinence on smoking cessation and birth outcomes among pregnant smokers.DesignSingle blind, randomised controlled trial.SettingFinancial Incentive for Smoking Cessation in...

A Smoking Cessation App for Nondaily Smokers (Version 2 of the Smiling Instead of Smoking App): Acceptability and Feasibility Study.

BackgroundRecent evidence highlights the significant detrimental impact of nondaily smoking on health and its disproportionate prevalence in underserved populations; however, little work has been done to develop treatments specifically geared toward quitting nondaily smoking.ObjectiveThis study aims to test the feasibility, acceptability, and conceptual underpinnings of version 2 of the Smiling Instead of Smoking (SiS2) smartphone app, which was developed specifically for nondaily smokers and uses a positive psychology approach.MethodsIn a prospective, single-group study, nondaily smokers (N=100) were prescribed use of the SiS2 app for 7 weeks while undergoing a quit attempt. The app assigned daily positive psychology exercises and behavioral tasks every 2 to 3 days, which guided smokers through using the smoking cessation tools offered in the app. Participants answered surveys at baseline and at 2, 6, 12, and 24 weeks postquit. Feasibility was evaluated based on app use and acceptability based on survey responses. The underlying conceptual framework was tested by examining whether theorized within-person changes occurred from baseline to end of treatment on scales measuring self-efficacy, desire to smoke, and processing of self-relevant health information (ie, pros and cons of smoking, importance of the pros and cons of quitting, and motivation).ResultsParticipants used the SiS2 app on an average of 24.7 (SD 13.8) days out of the 49 prescribed days. At the end of treatment, most participants rated the functions of the app as very easy to use (eg, 70/95, 74% regarding cigarette log and 59/95, 62% regarding happiness exercises). The average score on the System Usability Scale was 79.8 (SD 17.3; A grade; A+ ≥84.1, B+ <78.8). Most participants reported that the app helped them in their quit attempt (83/95, 87%), and helped them stay positive while quitting (78/95, 82%). Large effects were found for within-person decreases in the desire to smoke (b=−1.5, 95% CI −1.9 to −1.1; P<.001; gav=1.01), the importance of the pros of smoking (b=-20.7, 95% CI −27.2 to −14.3; P<.001; gav=0.83), and perceived psychoactive benefits of smoking (b=−0.8, 95% CI −1.0 to −0.5; P<.001; gav=0.80). Medium effects were found for increases in self-efficacy for remaining abstinent when encountering internal (b=13.1, 95% CI 7.6 to 18.7; P<.001; gav=0.53) and external (b=11.2, 95% CI 6.1 to 16.1; P<.001; gav=0.49) smoking cues. Smaller effects, contrary to expectations, were found for decreases in motivation to quit smoking (P=.005) and the perceived importance of the pros of quitting (P=.009). Self-reported 30-day point prevalence abstinence rates were 40%, 56%, and 56% at 6, 12, and 24 weeks after the quit day, respectively.ConclusionsThe SiS2 app was feasible and acceptable, showed promising changes in constructs relevant to smoking cessation, and had high self-reported quit rates by nondaily smokers. The SiS2 app warrants testing in a randomized controlled trial.

Patterns of lapses and recoveries during a quit attempt using varenicline and behavioral counseling among smokers with and without HIV.

Addressing tobacco use among HIV+ smokers is a priority. Lack of knowledge about how HIV+ smokers respond to tobacco use treatments limits our ability to effectively treat this population of smokers. Using data from 2 clinical trials that provided 12 weeks of varenicline and behavioral counseling, 1 with smokers with HIV (n = 89) and 1 with smokers without HIV (n = 179), we used mixed logistic regression modeling to compare point-prevalence abstinence rates and adherence to the initial target quit date (TQD) and Cox regression for repeated outcomes to evaluate lapse and recovery dynamics between the groups. Sixty percent of HIV- smokers refrained from smoking at the TQD while only 33% of HIV+ smokers did (odds ratio [OR] = 0.32, 95% CI [0.18, 0.56], p < .001). The point-prevalence abstinence rates at Week 12 were 31% (HIV-) and 28% (HIV+; OR = 0.7, 95% CI [0.42, 1.16], p = .16) and the point prevalence abstinence rates at Week 24 were 22% (HIV-) and 15% (HIV+; OR = 0.87, 95% CI [0.49, 1.57], p = .65). Although there was no interaction between HIV status and lapse risk, χ2(3) < 1, there was a significant interaction for the recovery model, (χ2(3) = 20.4, p < 0.001): as the number of events increased, the time to the next recovery became longer among smokers with HIV, compared to smokers without HIV. Although HIV+ smokers were treated effectively with varenicline, compared to HIV- smokers, they showed significantly lower initial cessation at the TQD and took increasingly longer to recover following lapses. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Improving smoking cessation support for Quebec's smokers: an evaluation of Quebec's telephone quitline.

Quitlines are an important and widespread intervention that support smokers in their efforts to quit smoking and engage them into treatment services. Quebec's quitline, called "la ligne J'ARRÊTE", has been in operation since 2002. The objectives of this study were to evaluate treatment reach, provide a description of caller characteristics and to provide results on cessation outcome measures for Quebec's smoking cessation quitline. We collected data at intake, assessing new caller volume, caller characteristics and treatment reach. We used a one-group quasi-experimental design to assess 30-day and six-month quit rates, at six-month follow-up. Intake data were collected for 1292 new quitline callers, 18 years of age and older, over a one-year period. Results indicated that the service reached 9 in 10 000 Quebec smokers. With respect to the total population of smokers in Quebec, the quitline reached proportionately higher numbers of smokers who were women, were 55 years of age and older and had a high school diploma or less. At follow-up, the 30-day point prevalence abstinence rate was 26.7%, while the six-month prolonged abstinence rate was 18.8%. These results indicate that the quitline contributed to helping callers quit smoking. They are in line with findings for other quitlines in Canada and the United States. However, quitline reach is comparatively limited, suggesting that additional investment in promotional efforts and research into ways of recruiting underserved populations into the service would increase public health impact.

Urban and Rural Disparities in a WeChat-Based Smoking Cessation Intervention among Chinese Smokers.

Introduction: Tobacco use, which is directly responsible for 10% of total deaths per year globally, remains consistently high, with approximately 20% of the population reporting regular consumption globally. Moreover, health disparities regarding tobacco consumption and smoking cessation are growing between rural and urban populations worldwide. Social media interventions for tobacco cessation may effectively reach both groups. The objective of this study was to evaluate the efficacy of a WeChat-delivered smoking cessation intervention among rural and urban Chinese smokers, and to assess moderating variables that may contribute to differential intervention efficacy. Methods: WeChat was used to recruit smokers into this intervention study between 1 July and 5 August 2019. Participants were randomized to one of three intervention schedules: participants in the Standard Group and the Enhanced Group received 20 smoking-related messages over 2 weeks, whereas participants in the Enhanced Group received an extra 6 oral health-related messages for one week. Participants in the control group received 20 smoking-related messages after the post-intervention assessment. Participants completed questionnaires at baseline and at 4 weeks follow-up. Our primary outcome was smoking cessation stage of change and secondary outcome was 24-h point prevalence abstinence (PPA). Urban and rural areas were based on self-reported living areas. Chi-squared test, Fisher’s exact test, ANOVA test, linear regression, and logistic regression were used for analysis. Results: Overall, 403 participants completed the intervention (233 rural, 107 suburban, 63 urban). Compared to urban participants, rural participants were more likely to have progressed to a later stage of change (β = 0.40, 95% CI: 0.13, 0.67) and to report higher 24-h PPA rates at follow-up (aOR = 3.23, 95% CI: 1.36, 7.68). After stratification by living area, the intervention effects in stage of change and 24-h PPA rate at follow-up were only found in the urban subgroup. Discussion: Smokers who lived in rural areas reported better smoking cessation outcomes compared with urban smokers; however, the efficacy of a WeChat-based smoking cessation intervention was only found for participants living in an urban area. WeChat based smoking cessation interventions should be used to promote smoking cessation in urban, suburban, and rural areas.

Sustained Care Smoking Cessation Intervention for Individuals Hospitalized for Psychiatric Disorders

Smoking among individuals with serious mental illness (SMI) represents a major public health problem. Intervening during a psychiatric hospital stay may provide an opportunity to aid engagement in smoking cessation treatment and facilitate success in quitting. To examine the effectiveness of a multicomponent, sustained care (SusC) smoking cessation intervention in adults with SMI receiving inpatient psychiatric care. The Helping HAND 3 randomized clinical trial compared SusC with usual care (UC) among individuals with SMI who smoked daily and were receiving inpatient psychiatric care in Austin, Texas, in a single hospital. The study was conducted from July 2015 through August 2019. The UC intervention involved brief smoking cessation information, self-help materials and advice from the admitting nurse, and an offer to provide nicotine replacement therapy during hospitalization. The SusC intervention included 4 main components designed to facilitate patient engagement with postdischarge smoking cessation resources: (1) inpatient motivational counseling; (2) free transdermal nicotine patches on discharge; (3) an offer of free postdischarge telephone quitline, text-based, and/or web-based smoking cessation counseling, and (4) postdischarge automated interactive voice response calls or text messages. The primary outcome was biochemically verified 7-day point-prevalence abstinence at 6-month follow-up. A secondary outcome was self-reported smoking cessation treatment use at 1, 3, and 6 months after discharge. A total of 353 participants were randomized, of whom 342 were included in analyses (mean [SD] age, 35.8 [12.3] years; 268 White individuals [78.4%]; 280 non-Hispanic individuals [81.9%]; 169 women [49.4%]). They reported smoking a mean (SD) of 16.9 (10.4) cigarettes per day. Participants in the SusC group evidenced significantly higher 6-month follow-up point-prevalence abstinence rates than those in the UC group (8.9% vs 3.5%; adjusted odds ratio, 2.95 [95% CI, 1.24-6.99]; P = .01). The number needed to treat was 18.5 (95% CI, 9.6-306.4). A series of sensitivity analyses confirmed effectiveness. Finally, participants in the SusC group were significantly more likely to report using smoking cessation treatment over the 6 months postdischarge compared with participants in the UC group (74.6% vs 40.5%; relative risk, 1.8 [95% CI, 1.51-2.25]; P < .001). The findings of this randomized clinical trial provide evidence for the effectiveness of a scalable, multicomponent intervention in promoting smoking cessation treatment use and smoking abstinence in individuals with SMI following hospital discharge. ClinicalTrials.gov Identifier: NCT02204956.

Electronic cigarettes in standard smoking cessation treatment by tobacco counselors in Flanders: E-cigarette users show similar if not higher quit rates as those using commonly recommended smoking cessation aids

BackgroundThis interventional-cohort study tried to answer if people who smoke and choose an e-cigarette in the context of smoking cessation treatment by tobacco counselors in Flanders are achieving smoking abstinence and how they compare to clients who opt for commonly recommended (or no) aids (nicotine replacement therapy, smoking cessation medication).MethodsParticipants were recruited by tobacco counselors. They followed smoking cessation treatment (in group) for 2 months. At several times during treatment and 7 months after quit date, participants were asked to fill out questionnaires and to perform eCO measurements.ResultsOne third of all participants (n = 244) achieved smoking abstinence 7 months after the quit date, with e-cigarette users having higher chances to be smoking abstinent at the final session compared to NRT users. Point prevalence abstinence rates across all follow-up measurements, however, as well as continuous and prolonged smoking abstinence, were similar in e-cigarette users and in clients having chosen a commonly recommended (or no) smoking cessation aid. No differences were obtained between smoking cessation aids with respect to product use and experiences.ConclusionsPeople who smoke and choose e-cigarettes in the context of smoking cessation treatment by tobacco counselors show similar if not higher smoking cessation rates compared to those choosing other evidence-based (or no) smoking cessation aids.

The Effectiveness Analysis of ‘Quit-Calendar’ Related to Current Smokers under ‘Quit-For-King’ Project (Phase II)

ackground: Quit-Calendar has been developed and initially tested in Phase I for the Quit-For-King project. The effectiveness and satisfaction of its properties were later investigated among village health volunteers. Objective: To investigate the Quit-Calendar effectiveness, factors related to quit success, and its satisfaction under the ‘Quit-For-King’ Project. Materials and Methods: One hundred eleven current smokers underwent the program. Each participant needed to go ‘cold turkey’ technique, which mean to stop smoking at once, then received 5A counseling and a Quit-Calendar. The measuring parameters included continuous abstinence rate (CAR) and point prevalence abstinence rate (PAR), investigated at 2-weeks, 1-, 3-, and 6- month periods via statistical analysis. Results: Most of the participants were males (96.4%), smoked 10 cigarettes per day (53%), heavy smokers. They were mostly in ‘preparation stage’ of change (49%). CAR was 26.11% and PAR values increased by the end of the 6-month. There were statistically significant differences between the numbers of quitters using Quit-Calendar (p&lt;0.001). Only three factors, including numbers of cigarettes, minor illness, and levels of readiness to quit significantly affected quit success (p&lt;0.001). The smokers stated that the Quit-Calendar could possibly help them to quit smoking. Nonetheless, some limitations need to be resolved. Conclusion: Quit-For-King project has been successful over a 3-year period. The Quit-Calendar is one of the cessation aids that promote quit success and help quitters to overcome nicotine withdrawal. Keywords: Quit-For-King, Quit-Calendar, Continuous abstinence rate (CAR), Point prevalence abstinence rate (PAR), Village health volunteers

A Preoperative Contingency Management Intervention for Smoking Abstinence in Cancer Patients: A Preliminary Randomized Controlled Trial.

The purpose of this study was to evaluate a pilot preoperative contingency management (CM) intervention for smoking abstinence. This multisite pilot study was conducted at two cancer center-based tobacco treatment programs. Participants who were smoking, diagnosed with or suspected to have any type of operable cancer, and had a surgical procedure scheduled in the next 10 days to 5 weeks (N = 40) were randomized to receive standard care plus monitoring only (MO) or CM prior to surgery. All patients received breath carbon monoxide (CO) tests 3 times per week, nicotine patches, and counseling. The CM group also earned payments for self-reported smoking abstinence confirmed by CO breath test ≤6 ppm on an escalating schedule of reinforcement (with a reset if they smoked). Seven-day point prevalence abstinence rates on the day of surgery and at 3-month follow-up were compared between groups using repeated measures log-linear regression models utilizing generalized estimating equations. Participants lost to follow-up are assumed to have returned to smoking. The sample was 50% female and 75% White. In covariate adjusted models, patients in the CM group had a greater probability of reported abstinence. On the day of surgery (end of treatment), 52% of CM patients were abstinent compared with 16% of patients in MO (risk ratio = 3.2 [1.1-9.3]; p = .03). At the 3-month follow-up, 43% of CM patients were abstinent compared with 5% in MO (risk ratio = 8.4 [1.5-48.3]; p = .02). Providing monetary incentives contingent on abstinence prior to cancer surgery may produce significant improvements in smoking abstinence rates relative to breath CO MO. In this pilot preoperative CM intervention for smoking abstinence, patients receiving a CM intervention prior to cancer surgery had a greater probability of smoking abstinence at the end of treatment compared with a breath MO group (52% vs. 16%, respectively). Thus, providing monetary incentives contingent on abstinence may produce significant improvements in smoking abstinence rates prior to cancer surgery relative to breath CO monitoring.

Efficacy of Electronic Cigarettes for Smoking Cessation: A Systematic Review and Meta-Analysis.

to synthesize evidence about the efficacy of electronic cigarettes versus Nicotine Replacement Therapy and placebo to quit smoking. We searched for clinical trials with no publication date restriction until December 2019. The search included CENTRAL, MEDLINE, PsycINFO, Science Direct, Center for reviews and dissemination and HTA database and Trip database, clinical trials registries, gray literature and examined the references of relevant articles. Two review authors independently checked the titles and abstracts then the full text of initial hits. Main outcomes were sustained continuous abstinence rate, 7-day point prevalence abstinence rate, sustained reduction of 50% or greater in baseline cigarette consumption and adverse effects. Two review authors independently extracted data and assessed risk of bias using the Cochrane RoB 2 tool. We conducted a random-effects model through the Mantel-Haenszel method. We retrieved 12 trials involving 9863 participants. CO- validated 1-month continuous abstinence rate improved by 33% in the e-cigarettes group (range 6-66%, moderate evidence). We are uncertain if e-cigarettess influence continuous abstinence rate at 3-, 6- and 12 months as well as sustained reduction of 50% or greater in baseline cigarette consumption at different follow-up periods. One study of 884 participants displayed improved 12-month 7-day point abstinence by 46% (range 17%-82%). E-cigarettes may increase or do not affect the proportion of serious adverse effect at 6 and 12 months follow up. Very low certainty evidence supported e-cigarettess to help quit smoking in the short term. There is not enough evidence to determine if e-cigarettess are a safe and efficacious means of smoking cessation in the long term (12+ months).