Enhancing partner support to improve smoking cessation

Compendium of dyadic intervention techniques (DITs) to change health behaviours: a systematic review

BACKGROUND

Dyadic interventions for health behaviour change involving the romantic partner are promising. However, it often remains unclear how exactly the partner is involved in dyadic interventions. We propose a novel compendium of dyadic intervention techniques (DITs) that facilitates systematic description of dyadic interventions in terms of who performs what for whom during intervention delivery and subsequent implementation.

OBJECTIVE

We aimed to systematically characterise dyadic interventions along their degree of partner involvement and to provide a comprehensive list of DITs used in dyadic interventions with romantic partners.

METHODS

We systematically reviewed dyadic health behaviour change interventions with controlled designs. We included 165 studies describing 122 distinct dyadic interventions with romantic partners. Interventions were classified along their degree of partner involvement, 160 DITs were extracted, and their frequencies of use counted.

RESULTS

The majority of interventions (n = 90, 74%) explicitly instructed partners to interact. Half of the DITs were performed jointly by the couple and also targeted the couple. Mostly, couples were instructed to jointly practice communication skills and to jointly perform problem solving for the couple.

DISCUSSION

The present review contributes to the development of a shared and systematic way of describing dyadic interventions to facilitate cumulation of evidence.

App-based interventions to improve cancer outcomes rely on informational support from professionals: a systematic review

The importance of social support for cancer patients is well-established, and mobile applications hold promise for implementation. This systematic review examines app-based interventions with social support components for cancer patients, investigating the use of different support functions from different sources and the impact on cancer-related symptoms and psychological outcomes. A systematic search across five databases (EMBASE, Scopus, PsycINFO, PubMed, Web of Science) yielded 449 records, of which 17 studies (12 controlled designs) were included. Two independent reviewers extracted data and assessed study quality, revealing a high risk of bias across studies. Social support was implemented through different app functions, including contact/chat functions (n = 9), automatic alerts based on app input (n = 6) and discussion forums (n = 5). Social support predominantly focused on informational support (n = 17), mostly from healthcare professionals. Emotional support was less common (n = 7). Results indicated some promising intervention effects for pain, fatigue, nausea/vomiting, insomnia, constipation and overall symptom distress, but heterogeneous effects for health-related quality of life. Overall, results were mixed, but indicate that mobile apps incorporating social support may hold promise for cancer patients. However, future studies should focus on measuring and reporting social support as an intervention mechanism to systematically investigate its specific impact and improve effectiveness.HighlightsApps for cancer patients predominantly include informational social supportEmotional social support is substantially less frequently includedApps focus on formal support sources like healthcare professionalsFirst results are somewhat promising for improving cancer-related symptoms.

Perceptions of family functioning impact smoking during pregnancy

BACKGROUND

Although socio-environmental factors are known to contribute to the maintenance of smoking behavior, few studies have examined the impact of family functioning on smoking during pregnancy.

OBJECTIVE

The current study examined the relationship between perceptions of family functioning and smoking during pregnancy.

METHODS

Pregnant women (N = 345, 59% ethnic/racial minority) completed the Family Assessment Device, a gold-standard assessment examining perceptions of family functioning in seven domains. Multinomial logistic regressions analyzed associations between clinically determined suboptimal levels of family functioning by domain and smoking status during pregnancy (smoking, ≥28 continuous days quit, nonsmoking), with stratified analyses exploring ethnic/racial differences (non-Hispanic/White vs. racial/ethnic minority).

RESULTS

Participants who reported suboptimal levels of family functioning in domains of Affective Involvement, Affective Responsiveness, Behavioral Control, and Roles were significantly more likely to have been smoking than nonsmoking during pregnancy. Stratified analyses revealed differing effects by ethnic/racial identity, with perceptions of Roles remaining the only significant effect on smoking outcomes for both groups. No significant effects were found regarding the impact of family functioning on whether participants were smoking vs. quit during pregnancy.

CONCLUSIONS

Suboptimal family functioning may contribute to smoking during pregnancy, but effects may differ based on domain of family functioning and by ethnic/racial identity.

Predictors of quitting support from nonsmoking mothers for smoking fathers: a cross-sectional study from Chinese pupils' families

BACKGROUND

Quitting support from smokers' partners can predict quit attempts and smoking abstinence but research on factors that predict such support has been limited. To add more evidence for partner support and the improved interventions for smoking cessation, we analyzed some new potential predictors of quitting support from smokers' spouses.

METHOD

This cross-sectional study was conducted in in 2022 and 2023, selecting the students' families in which fathers smoked and mothers didn't smoke from grade 1-5 of 13 primary schools in Qingdao, China. Parents who met the criteria completed the online questionnaires and 1018 families were included in the analysis. We measured personal information related to smokers and their spouses such as age, education and nicotine dependence, and variables related to family and marital relationship such as family functioning, perceived responsiveness and power in decision-making of quitting smoking. Quitting support from smokers' spouses was measured by Partner Interaction Questionnaire and generalized linear model was used to explore the potential predictors of partner support.

RESULTS

In this study, the mean age of smokers was 39.97(SD = 5.57) and the mean age of smokers' spouses was 38.24(SD = 4.59). The regression analysis showed that for smokers and their spouses, the older age groups showed the lower ratio of positive/negative support(P < 0.05) and smokers with high education showed the less positive and negative partner support(P < 0.05). Nicotine dependence was positively associated with negative support (β = 0.120, P < 0.01), and perceived responsiveness (β = 0.124, P < 0.05) as well as family functioning (β = 0.059, P < 0.05) was positively associated with positive support. These three factors were associated with ratio of positive/negative support(P < 0.05). In addition, power of smoker's spouse in decision-making of quitting smoking was positively associated with the positive (β = 0.087, P < 0.001) and negative support (β = 0.084, P < 0.001).

CONCLUSIONS

Nicotine dependence, family functioning, power in decision-making of quitting smoking and perceived responsiveness were found to be the predictors of quitting support from smokers' spouses. By incorporating predictors of partner support and integrating some established theories that can improve family functioning and marital relationships, smoking cessation interventions can be further improved.

Prenatal passive smoking at home: The experiences of women in Thailand

Background

Passive smoking poses a threat to the well-being of an unborn baby; however, women's understanding and practice in this regard remain unclear.

Objective

This study aimed to describe prenatal passive smoking at home based on the experiences of women in Thailand.

Methods

A qualitative descriptive approach was employed. Data were collected between September 2020 and April 2022 through semi-structured in-depth interviews with 16 postpartum women purposively selected from five hospitals. Thematic analysis was used for data analysis.

Results

Three themes emerged. The first theme, 'safeguard for an unborn baby,' was performed through smoking reduction, far distance, abstinence from smoke/odor inhalation, and residual elimination since harm was highly aware. However, justifying safety from the absence of smoke and foul odor was misperceived. The second theme, 'intervention for smoking cessation,' was attempted through various methods, including acquired empathy, persuasion, compromise, and supportiveness. They also needed family/friend assistance in warning and professional care in terms of advice, health education, learning materials, cessation therapy, care continuation, and dealing with complex situations. The last theme, 'maternal perseverance,' was acquired by the motives of safety goals, rights/responsibilities, changeable norms, and a golden period.

Conclusion

Pregnant women persistently aimed to prevent their husbands from smoking and safeguard their unborn babies from passive smoking. However, misunderstandings and improper practices were observed. Healthcare and nursing services need comprehensive approaches to enhance understanding, perseverance, and tailored practices catering to women's needs.

Examining pathways between family or peer factors and smoking cessation in a nationally representative US sample of adults with mental health conditions who smoke: a structural equation analysis

Background

Supportive family or peer behaviors positively impact smoking cessation in people with mental health problems who smoke. However, the limited understanding of the pathways through which family or peer factors impact quitting limits the development of effective support interventions. This study examined pathways through which family or peer views on tobacco use, family or peer smoking status, and rules against smoking in the home influenced quitting in adults with mental health problems who smoke.

Methods

We used data from the Population Assessment of Tobacco and Health Study, a national longitudinal survey. Baseline data were collected in 2015, and follow-up data in 2016. We included adults’ current smokers who had experienced two or more mental health symptoms in the past year (unweighted n = 4201). Structural equation modeling was used to test the relationships between family and peer factors, mediating factors, and smoking cessation.

Results

We found that having family or peers with negative views on tobacco use had a positive indirect effect on smoking cessation, mediated through the individual’s intention to quit (regression coefficient: 0.19) and the use of evidence-based approaches during their past year quit attempt (regression coefficient: 0.32). Having rules against smoking in the home (regression coefficient: 0.33) and having non-smoking family members or peers (regression coefficient: 0.11) had a positive indirect effect on smoking cessation, mediated through smoking behaviors (regression coefficient: 0.36). All paths were statistically significant (p <  0.01). The model explained 20% of the variability in smoking outcomes.

Conclusion

Family or peer-based cessation interventions that systematically increase intentions to quit and monitor smoking behavior may be able to assess the efficacy of family and peer support on quitting in people with mental health problems who smoke.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13979-z.

The Dyadic Health Influence Model

Relationship partners affect one another's health outcomes through their health behaviors, yet how this occurs is not well understood. To fill this gap, we present the Dyadic Health Influence Model (DHIM). The DHIM identifies three routes through which a person (the agent) can impact the health beliefs and behavior of their partner (the target). An agent may (a) model health behaviors and shape the shared environment, (b) enact behaviors that promote their relationship, and/or (c) employ strategies to intentionally influence the target's health behavior. A central premise of the DHIM is that agents act based on their beliefs about their partner's health and their relationship. In turn, their actions have consequences not only for targets' health behavior but also for their relationship. We review theoretical and empirical research that provides initial support for the routes and offer testable predictions at the intersection of health behavior change research and relationship science.

Impact of Family and Social Network on Tobacco Cessation Amongst Cancer Patients

Continued smoking after a cancer diagnosis adversely affects outcomes, including recurrence of the primary cancer and/or the development of second primary cancers. Despite this, prevalence of smoking is high in cancer survivors and higher in survivors of tobacco-related cancers. The diagnosis of cancer provides a teachable moment, and social networks, such as family, friends, and social groups, seem to play a significant role in smoking habits of cancer patients. Interventions that involve members of patients’ social network, especially those who also smoke, might improve tobacco cessation rates. Very few studies have been conducted to evaluate and target patients’ social networks. Yet, many studies have demonstrated that cancer survivors who received higher levels of social support were less likely to be current smokers. Clinicians should be doing as much as they can to encourage smoking cessation in both patients and relevant family members. Research aimed at influencing smoking behavioral change in the entire family is needed to increase cessation intervention success rate, which can ultimately improve the health and longevity of patients as well as their family members.

Effectiveness of a Dyadic Buddy App for Smoking Cessation: Randomized Controlled Trial

BACKGROUND

Tobacco smoking is one of the biggest public health threats. Smartphone apps offer new promising opportunities for supporting smoking cessation in real time. This randomized controlled trial investigated the effectiveness of an app that encourages individuals to quit smoking with the help of a social network member (buddy) in daily life.

OBJECTIVE

The objective of this study is to test the effectiveness of the SmokeFree buddy app compared with a control group with self-reported smoking abstinence and carbon monoxide (CO)-verified smoking abstinence as primary outcomes and self-reports of smoked cigarettes per day (CPD) as a secondary outcome.

METHODS

A total of 162 adults who smoked participated in this single-blind, two-arm, parallel-group, intensive longitudinal randomized controlled trial. Around a self-set quit date (ie, 7 days before the self-set quit date and 20 days after) and 6 months later, participants of the intervention and control groups reported on daily smoking abstinence and CPD in end-of-day diaries. Daily smoking abstinence was verified via daily exhaled CO assessments. This assessment was administered via an app displaying results of exhaled CO, thus addressing self-monitoring in both groups. In addition, participants in the intervention group used the SmokeFree buddy app, a multicomponent app that facilitates social support from a buddy of choice.

RESULTS

A significant reduction in CPD from baseline to the 6-month follow-up was observed among participants in both groups. Multilevel analyses revealed no significant intervention effect on self-reported and CO-verified daily smoking abstinence at the quit date and 3 weeks later. However, CPD was lower at the quit date and 3 weeks later in the intervention group than in the control group. No significant differences between groups were found for any outcome measures 6 months after the quit date. Overall, low app engagement and low perceived usefulness were observed.

CONCLUSIONS

Despite some encouraging short-term findings on the amount of smoking, the SmokeFree buddy app did not have beneficial effects on smoking abstinence over and above the self-monitoring control condition. Future studies should examine whether and what support processes can be effectively stimulated and how app use can be improved to better achieve this goal.

TRIAL REGISTRATION

ISRCTN Registry 11154315; https://www.isrctn.com/ISRCTN11154315.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12889-019-7723-z.

Keeping Each Other Accountable: Social Strategies for Smoking Cessation and Healthy Living in Vietnamese American Men

Vietnamese American males have high smoking rates. This study explored social support mechanisms provided by lay health workers (LHWs) and family members through a smoking cessation intervention. Eight focus groups (N = 54) were conducted in Vietnamese stratified by intervention arms (Tobacco [experimental] and healthy living [control]) with 18 smokers, 18 family members, and 18 LHWs. Smokers reported feeling more accountable for their health behaviors, and smoking changes were reinforced by family members, peers, and LHWs through conversations facilitated during and outside the program. Culturally appropriate interventions with multiple social support mechanisms may reduce smoking in minority populations.

Family Support and Readiness to Consider Smoking Cessation among Chinese and Vietnamese American Male Smokers

Introduction

Smoking prevalence is disproportionately high among Asian American immigrant men with limited English proficiency. Understanding the role of family support may provide insights on culturally acceptable strategies to promote smoking cessation.

Aims

This study examined how family support was associated with readiness to consider smoking cessation among Chinese and Vietnamese American male daily smokers.

Methods

We analyzed baseline data (N=340) from a cluster randomized trial of a family-based healthy lifestyle intervention. We assessed the frequency of receiving family support in various forms (encouraging use of cessation resources; praising efforts; checking-in; reminding of familial role). Multiple regression analysis was used to determine associations between family support areas and readiness to consider smoking cessation, controlling for covariates.

Results/Findings

Reporting a higher frequency of receiving praise and encouragement for one's efforts to quit was positively associated with readiness to consider cessation. Other areas of family support were not significant.

Conclusions

These findings provide evidence to explore specific areas of family support in enhancing Asian American smokers' readiness to consider cessation. As there is high interest from Asian American family members to support their smokers for quitting, culturally specific and acceptable strategies are needed to promote smoking cessation among Asian Americans.

Written Advice Given by African American Smokers to Their Peers: Qualitative Study of Motivational Messages

BACKGROUND

Although African Americans have the lowest rates of smoking onset and progression to daily smoking, they are less likely to achieve long-term cessation. Interventions tailored to promote use of cessation resources in African American individuals who smoke are needed. In our past work, we demonstrated the effectiveness of a technology-assisted peer-written message intervention for increasing smoking cessation in non-Hispanic White smokers. In this formative study, we have adapted this intervention to be specific for African American smokers.

OBJECTIVE

We aimed to report on the qualitative analysis of messages written by African American current and former smokers for their peers in response to hypothetical scenarios of smokers facing cessation challenges.

METHODS

We recruited African American adult current and former smokers (n=41) via ResearchMatch between April 2017 and November 2017. We asked participants to write motivational messages for their peers in response to smoking-related hypothetical scenarios. We also collected data on sociodemographic factors and smoking characteristics. Thematic analysis was conducted to identify cessation strategies suggested by the study participants.

RESULTS

Among the study participants, 60% (25/41) were female. Additionally, more than half (23/41, 56%) were thinking about quitting, 29% (12/41) had set a quit date, and 27% (11/41) had used electronic cigarettes in the past 30 days. Themes derived from the qualitative analysis of peer-written messages were (1) behavioral strategies, (2) seeking help, (3) improvements in quality of life, (4) attitudes and expectations, and (5) mindfulness/religious or spiritual practices. Under the behavioral strategies theme, distraction strategies were the most frequently suggested strategies (referenced 84 times in the 318 messages), followed by use of evidence-based treatments/cessation strategies. Within the seeking help theme, subthemes included seeking help or support from family/friends or close social networks (referenced 56 times) and health care professionals (referenced 22 times). The most frequent subthemes that emerged from improvements in the quality of life theme included improving one's health (referenced 22 times) and quality of life (referenced 21 times). Subthemes that emerged from the attitude and expectations theme included practicing positive self-talk (referenced 27 times), autonomy/independence from the smoking habit (referenced six times), and financial cost of smoking (referenced five times). The two subthemes that emerged from the mindfulness/religious or spiritual practices theme were use of self-awareness techniques (referenced 36 times) and religious or spiritual practices to cope (referenced 13 times).

CONCLUSIONS

Our approach to adapt a prior peer-message intervention to African American smokers yielded a set of evidence-based messages that may be suitable for smokers at all phases of motivation to quit (ready to quit or not ready to quit). In future research, we plan to assess the impact of texting these messages to African American smokers in a smoking cessation trial.

Factors Associated with Successful Smoking Cessation According to Age Group: Findings of an 11-Year Korea National Survey

Previous studies suggest that factors related to smoking cessation may vary with age. This study examined the factors affecting smoking cessation by age among Korean adult male smokers using data from the Korea National Health and Nutrition Examination Survey from 2007 to 2018 (excluding 2013). Logistic regression analyses were used to investigate various factors associated with smoking cessation in three different age groups. Out of a total of 15,492 individuals, 31.5% of the 3523 individuals aged 19-39 years (young adult), 54.7% of the 7390 individuals aged 40-64 years (middle-aged), and 78.6% of the 4589 individuals aged ≥65 years (older adults) succeeded in quitting. In the young adult and middle-aged groups, being married was associated with successful quitting, and lifetime smoking was associated with unsuccessful quitting. Willpower and several comorbidities were related to successful cessation in the middle-aged and older adult groups. Skipping any meal, which suggests unhealthy behavior, was negatively related to quitting in the young adult group. We observed that factors associated with smoking cessation success or failure differed by age, which should be considered when developing smoking cessation policies and programs.

Behavioural interventions for smoking cessation: an overview and network meta-analysis

BACKGROUND

Smoking is a leading cause of disease and death worldwide. In people who smoke, quitting smoking can reverse much of the damage. Many people use behavioural interventions to help them quit smoking; these interventions can vary substantially in their content and effectiveness.

OBJECTIVES

To summarise the evidence from Cochrane Reviews that assessed the effect of behavioural interventions designed to support smoking cessation attempts and to conduct a network meta-analysis to determine how modes of delivery; person delivering the intervention; and the nature, focus, and intensity of behavioural interventions for smoking cessation influence the likelihood of achieving abstinence six months after attempting to stop smoking; and whether the effects of behavioural interventions depend upon other characteristics, including population, setting, and the provision of pharmacotherapy. To summarise the availability and principal findings of economic evaluations of behavioural interventions for smoking cessation, in terms of comparative costs and cost-effectiveness, in the form of a brief economic commentary.

METHODS

This work comprises two main elements. 1. We conducted a Cochrane Overview of reviews following standard Cochrane methods. We identified Cochrane Reviews of behavioural interventions (including all non-pharmacological interventions, e.g. counselling, exercise, hypnotherapy, self-help materials) for smoking cessation by searching the Cochrane Library in July 2020. We evaluated the methodological quality of reviews using AMSTAR 2 and synthesised data from the reviews narratively. 2. We used the included reviews to identify randomised controlled trials of behavioural interventions for smoking cessation compared with other behavioural interventions or no intervention for smoking cessation. To be included, studies had to include adult smokers and measure smoking abstinence at six months or longer. Screening, data extraction, and risk of bias assessment followed standard Cochrane methods. We synthesised data using Bayesian component network meta-analysis (CNMA), examining the effects of 38 different components compared to minimal intervention. Components included behavioural and motivational elements, intervention providers, delivery modes, nature, focus, and intensity of the behavioural intervention. We used component network meta-regression (CNMR) to evaluate the influence of population characteristics, provision of pharmacotherapy, and intervention intensity on the component effects. We evaluated certainty of the evidence using GRADE domains. We assumed an additive effect for individual components.

MAIN RESULTS

We included 33 Cochrane Reviews, from which 312 randomised controlled trials, representing 250,563 participants and 845 distinct study arms, met the criteria for inclusion in our component network meta-analysis. This represented 437 different combinations of components. Of the 33 reviews, confidence in review findings was high in four reviews and moderate in nine reviews, as measured by the AMSTAR 2 critical appraisal tool. The remaining 20 reviews were low or critically low due to one or more critical weaknesses, most commonly inadequate investigation or discussion (or both) of the impact of publication bias. Of note, the critical weaknesses identified did not affect the searching, screening, or data extraction elements of the review process, which have direct bearing on our CNMA. Of the included studies, 125/312 were at low risk of bias overall, 50 were at high risk of bias, and the remainder were at unclear risk. Analyses from the contributing reviews and from our CNMA showed behavioural interventions for smoking cessation can increase quit rates, but effectiveness varies on characteristics of the support provided. There was high-certainty evidence of benefit for the provision of counselling (odds ratio (OR) 1.44, 95% credibility interval (CrI) 1.22 to 1.70, 194 studies, n = 72,273) and guaranteed financial incentives (OR 1.46, 95% CrI 1.15 to 1.85, 19 studies, n = 8877). Evidence of benefit remained when removing studies at high risk of bias. These findings were consistent with pair-wise meta-analyses from contributing reviews. There was moderate-certainty evidence of benefit for interventions delivered via text message (downgraded due to unexplained statistical heterogeneity in pair-wise comparison), and for the following components where point estimates suggested benefit but CrIs incorporated no clinically significant difference: individual tailoring; intervention content including motivational components; intervention content focused on how to quit. The remaining intervention components had low-to very low-certainty evidence, with the main issues being imprecision and risk of bias. There was no evidence to suggest an increase in harms in groups receiving behavioural support for smoking cessation. Intervention effects were not changed by adjusting for population characteristics, but data were limited. Increasing intensity of behavioural support, as measured through the number of contacts, duration of each contact, and programme length, had point estimates associated with modestly increased chances of quitting, but CrIs included no difference. The effect of behavioural support for smoking cessation appeared slightly less pronounced when people were already receiving smoking cessation pharmacotherapies.

AUTHORS' CONCLUSIONS

Behavioural support for smoking cessation can increase quit rates at six months or longer, with no evidence that support increases harms. This is the case whether or not smoking cessation pharmacotherapy is also provided, but the effect is slightly more pronounced in the absence of pharmacotherapy. Evidence of benefit is strongest for the provision of any form of counselling, and guaranteed financial incentives. Evidence suggested possible benefit but the need of further studies to evaluate: individual tailoring; delivery via text message, email, and audio recording; delivery by lay health advisor; and intervention content with motivational components and a focus on how to quit. We identified 23 economic evaluations; evidence did not consistently suggest one type of behavioural intervention for smoking cessation was more cost-effective than another. Future reviews should fully consider publication bias. Tools to investigate publication bias and to evaluate certainty in CNMA are needed.

Peer effects in smoking cessation: An instrumental variables analysis of a worksite intervention in Thailand

While smoking is widely acknowledged to be a social activity, limited evidence exists on the extent to which friends influence each other during worksite-based tobacco cessation interventions. Drawing on data from adult smokers (N = 1823) in a large, cluster randomized controlled trial in worksites in Thailand, this study examines the presence of social spillovers in the decision to abstain from smoking. We leverage a unique aspect of social network structure in these data-the existence of non-overlapping friendship networks-to address the challenge of isolating the effects of peers on smoking behavior from the confounding effects of endogenous friend selection and bidirectional peer influence. We find that individuals with workplace friends who have abstained from smoking during the trial are significantly more likely to abstain themselves. Instrumental variables estimates suggest that abstinence after 3 and 12 months increases 26 and 32 percentage points, respectively, for each additional workplace friend who abstains. These findings highlight the potential for workplace interventions to use existing social networks to magnify the effect of individual-level behavior change, particularly in low- and middle-income countries where tobacco cessation support tends to be limited.

Incentive programmes for smoking cessation: cluster randomized trial in workplaces in Thailand

OBJECTIVE

To compare several monetary incentive programmes for promoting smoking abstinence among employees who smoke at workplaces in a middle income country.

DESIGN

Parallel group, open label, assessor blinded, cluster randomized controlled trial.

SETTING

Large industrial workplaces in metropolitan Bangkok, Thailand.

PARTICIPANTS

Employees who smoked cigarettes and planned to quit within six months recruited from 101 worksite clusters (84 different companies).

INTERVENTIONS

Worksites were digitally cluster randomized by an independent investigator to usual care or usual care plus one of eight types of incentive programmes. Usual care consisted of one time group counseling and cessation support through a 28 day text messaging programme. The incentive programmes depended on abstinence at three months and varied on three intervention components: refundable deposits, assignment to a teammate, and bonus size ($20 (£15; €17) or $40).

MAIN OUTCOME MEASURES

The primary outcome was biochemically verified seven day point prevalence smoking abstinence at 12 months. Secondary outcomes were programme acceptance at enrollment and smoking abstinence at three months (end of intervention) and at six months. All randomized participants who had complete baseline information were included in intention-to-treat analyses; participants with missing outcomes were coded as continuing smokers.

RESULTS

Between April 2015 and August 2016, the trial enrolled 4190 participants. Eighteen were omitted because of missing baseline covariates and death before the primary endpoint, therefore 4172 participants were included in the intention-to-treat analyses. Programme acceptance was relatively high across all groups: 58.7% (2451/4172) overall and 61.3% (271/442) in the usual care group. Abstinence rates at 12 months did not differ among deposit programmes (336/2253, 14.9%) and non-deposit programmes (280/1919, 14.6%; adjusted difference 0.8 points, 95% confidence interval -2.7 to 4.3, P=0.65), but were somewhat lower for team based programmes (176/1348, 13.1%) than individual based programmes (440/2824, 15.6%; -3.2 points, -6.6 to -0.2, P=0.07), and higher for $40 bonus programmes (322/1954, 16.5%) than programmes with no bonus (148/1198, 12.4%; 5.9 points, 2.1 to 9.7, P=0.002). The $40 individual bonus was the most efficacious randomization group at all endpoints. Intervention components did not strongly interact with each other.

CONCLUSIONS

Acceptance of monetary incentive programmes for promoting smoking abstinence was high across all groups. The $40 individual bonus programmes increased long term smoking abstinence compared with usual care, although several other incentive designs did not, such as team based programmes and deposit programmes. Incentive design in workplace wellness programmes might influence their effectiveness at reducing smoking rates in low resource settings.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT02421224).

Preventing smoking relapse in patients with cancer: A randomized controlled trial

BACKGROUND

Abstaining from smoking after a cancer diagnosis is critical to mitigating the risk of multiple adverse health outcomes. Although many patients with cancer attempt to quit smoking, the majority relapse. The current randomized controlled trial evaluated the efficacy of adapting an evidence-based smoking relapse prevention (SRP) intervention for patients with cancer.

METHODS

The trial enrolled 412 patients newly diagnosed with cancer who had recently quit smoking. Participants were randomized to usual care (UC) or SRP. Participants in the UC group received the institution's standard of care for treating tobacco use. Participants in the SRP group in addition received a targeted educational DVD plus a validated self-help intervention for preventing smoking relapse. The primary outcome was smoking abstinence at 2 months, 6 months, and 12 months.

RESULTS

Abstinence rates for participants in the SRP and UC groups were 75% versus 71% at 2 months and 69% versus 64% at 6 months (Ps > .20). At 12 months, abstinence rates among survivors were 68% for those in the SRP group and 63% for those in the UC group (P = .38). Post hoc analyses revealed that across 2 months and 6 months, patients who were married/partnered were more likely to be abstinent after SRP than UC (P = .03).

CONCLUSIONS

A smoking relapse prevention intervention did not reduce relapse rates overall, but did appear to have benefited those participants who had the social support of a partner. Future work is needed to extend this effect to the larger population of patients.

Targeting Nonsmokers to Help Smokers Quit: Features of a Large-scale Intervention

Smoking continues to be a major public health problem, despite a substantial decline in prevalence rates over the last decades. Quit smoking interventions typically target smokers, whether through individual or group treatment or through broader public health campaigns. Yet, nonsmokers represent a vast and largely untapped resource to help smokers quit. This article describes an innovative approach that targeted nonsmokers through a media-style campaign with repeated reminders about smoking cessation. We tested the nonsmoker intervention in a large randomized trial and showed it to be effective in helping smokers quit. Components of the intervention included repeated mailings with relevant cessation messages over a 10-week period, 2 brief check-in telephone calls, and access to a study Web site. In this article, we discuss details of the intervention development, content, and implementation.

Smoking cessation with smartphone applications (SWAPP): study protocol for a randomized controlled trial

Background

Tobacco smoking remains one of the biggest public health threats. Smartphone apps offer new promising opportunities for supporting smoking cessation in real-time. The social context of smokers has, however, been neglected in smartphone apps promoting smoking cessation. This randomized controlled trial investigates the effectiveness of a smartphone app in which smokers quit smoking with the help of a social network member.

Methods

This protocol describes the design of a single-blind, two-arm, parallel-group, intensive longitudinal randomized controlled trial. Participants of this study are adult smokers who smoke at least one cigarette per day and intend to quit smoking at a self-set quit date. Blocking as means of group-balanced randomization is used to allocate participants to intervention or control conditions. Both intervention and control group use a smartphone-compatible device for measuring their daily smoking behavior objectively via exhaled carbon monoxide. In addition, the intervention group is instructed to use the SmokeFree Buddy app, a multicomponent app that also facilitates smoking-cessation specific social support from a buddy over a smartphone application. All participants fill out a baseline diary for three consecutive days and are invited to the lab for a background assessment. They subsequently participate in an end-of-day diary phase from 7 days before and until 20 days after a self-set quit date. Six months after the self-set quit date a follow-up diary for three consecutive days takes place. The primary outcome measures are daily self-reported and objectively-assessed smoking abstinence and secondary outcome measures are daily self-reported number of cigarettes smoked.

Discussion

This is the first study examining the effectiveness of a smoking cessation mobile intervention using the SmokeFree Buddy app compared to a control group in a real-life setting around a self-set quit date using a portable objective measure to assess smoking abstinence. Opportunities and challenges with running studies with smoking participants and certain design-related decisions are discussed.

Trial registration

This trial was prospectively registered on 04/04/2018 at ISRCTNregistry: ISRCTN11154315.