A pilot study of StopAdvisor: a theory-based interactive internet-based smoking cessation intervention aimed across the social spectrum

A Scoping Review and Meta-analysis of the Use of Remote Biochemical Verification Methods of Smoking Status in Tobacco Research

INTRODUCTION

Increasing digital delivery of smoking cessation interventions has resulted in the need to employ novel strategies for remote biochemical verification.

AIMS AND METHODS

This scoping review and meta-analysis aimed to investigate best practices for remote biochemical verification of smoking status. The scientific literature was searched for studies that reported remotely obtained (not in-person) biochemical confirmation of smoking status (ie, combustible tobacco). A meta-analysis of proportions was conducted to investigate key outcomes, which included rates of returned biological samples and the ratio of biochemically verified to self-reported abstinence rates.

RESULTS

A total of 82 studies were included. The most common samples were expired air (46%) and saliva (40% of studies), the most common biomarkers were carbon monoxide (48%) and cotinine (44%), and the most common verification methods were video confirmation (37%) and mail-in samples for lab analysis (26%). Mean sample return rates determined by random-effects meta-analysis were 70% for smoking cessation intervention studies without contingency management (CM), 77% for CM studies, and 65% for other studies (eg, feasibility and secondary analyses). Among smoking cessation intervention studies without CM, self-reported abstinence rates were 21%, biochemically verified abstinence rates were 10%, and 47% of individuals who self-reported abstinence were also biochemically confirmed as abstinent.

CONCLUSIONS

This scoping review suggests that improvements in sample return rates in remote biochemical verification studies of smoking status are needed. Recommendations for reporting standards are provided that may enhance confidence in the validity of reported abstinence rates in remote studies.

IMPLICATIONS

This scoping review and meta-analysis included studies using remote biochemical verification to determine smoking status. Challenges exist regarding implementation and ensuring high sample return rates. Higher self-reported compared to biochemically verified abstinence rates suggest the possibility that participants in remote studies may be misreporting abstinence or not returning samples for other reasons (eg, participant burden, inconvenience). Remote biochemical confirmation of self-reported smoking abstinence should be included in smoking cessation studies whenever feasible. However, findings should be considered in the context of challenges to sample return rates. Better reporting guidelines for future studies in this area are needed.

The Barriers and Facilitators of eHealth-Based Lifestyle Intervention Programs for People With a Low Socioeconomic Status: Scoping Review

Background

Promoting health behaviors and preventing chronic diseases through a healthy lifestyle among those with a low socioeconomic status (SES) remain major challenges. eHealth interventions are a promising approach to change unhealthy behaviors in this target group.

Objective

This review aims to identify key components, barriers, and facilitators in the development, reach, use, evaluation, and implementation of eHealth lifestyle interventions for people with a low SES. This review provides an overview for researchers and eHealth developers, and can assist in the development of eHealth interventions for people with a low SES.

Methods

We performed a scoping review based on Arksey and O’Malley’s framework. A systematic search was conducted on PubMed, MEDLINE (Ovid), Embase, Web of Science, and the Cochrane Library, using terms related to a combination of the following key constructs: eHealth, lifestyle, low SES, development, reach, use, evaluation, and implementation. There were no restrictions on the date of publication for articles retrieved upon searching the databases.

Results

The search identified 1323 studies, of which 42 met our inclusion criteria. An update of the search led to the inclusion of 17 additional studies. eHealth lifestyle interventions for people with a low SES were often delivered via internet-based methods (eg, websites, email, Facebook, and smartphone apps) and offline methods, such as texting. A minority of the interventions combined eHealth lifestyle interventions with face-to-face or telephone coaching, or wearables (blended care). We identified the use of different behavioral components (eg, social support) and technological components (eg, multimedia) in eHealth lifestyle interventions. Facilitators in the development included iterative design, working with different disciplines, and resonating intervention content with users. Facilitators for intervention reach were use of a personal approach and social network, reminders, and self-monitoring. Nevertheless, barriers, such as technological challenges for developers and limited financial resources, may hinder intervention development. Furthermore, passive recruitment was a barrier to intervention reach. Technical difficulties and the use of self-monitoring devices were common barriers for users of eHealth interventions. Only limited data on barriers and facilitators for intervention implementation and evaluation were available.

Conclusions

While we found large variations among studies regarding key intervention components, and barriers and facilitators, certain factors may be beneficial in building and using eHealth interventions and reaching people with a low SES. Barriers and facilitators offer promising elements that eHealth developers can use as a toolbox to connect eHealth with low SES individuals. Our findings suggest that one-size-fits-all eHealth interventions may be less suitable for people with a low SES. Future research should investigate how to customize eHealth lifestyle interventions to meet the needs of different low SES groups, and should identify the components that enhance their reach, use, and effectiveness.

"At least someone thinks I'm doing well": a real-world evaluation of the quit-smoking app StopCoach for lower socio-economic status smokers

BACKGROUND

Smoking is more prevalent and persistent among lower socio-economic status (SES) compared with higher-SES groups, and contributes greatly to SES-based health inequities. Few interventions exist that effectively help lower-SES smokers quit. This study evaluated "De StopCoach", a mobile phone delivered eHealth intervention targeted at lower-SES smokers based on the evidence-based StopAdvisor, in a real-world setting (five municipalities) in The Netherlands in 2019-2020.

METHOD

We conducted individual semi-structured interviews with project leaders, healthcare professionals, and participating smokers (N = 22), and examined log data from the app (N = 235). For practical reasons, SES of app users was not measured. Qualitative data were analysed using the Framework Approach, with the Consolidated Framework for Implementation Research (CFIR) and Unified Theory of Acceptance and Use of Technology (UTAUT) as theoretical models.

RESULTS

Qualitative data showed that factors from the Intervention and Setting domains were most important for the implementation. StopCoach seemed suitable for lower-SES smokers in terms of performance and effort expectancy, especially when integrated with regular smoking cessation counseling (SCC). Key barriers to implementation of the app were limited integration of the app in SCC programs in practice, difficulty experienced by project leaders and healthcare professionals to engage the local community, and barriers to SCC more generally (e.g., perceived resistance to quitting in patients) that prevented healthcare professionals from offering the app to smokers. Quantitative data showed that 48% of app users continued using the app after the preparation phase and pre-quit day, and that 33% of app users had attempted to quit. Both app adherence and quit attempts were more likely if smokers also received SCC from a professional coach. Posthoc analyses suggest that adherence is related to higher likelihood of a quit attempt among participants with and without a professional coach.

CONCLUSIONS

Smokers, healthcare professionals and project leaders indicated in the interviews that the StopCoach app would work best when combined with SCC. It also appears from app log that app adherence and quit attempts by app users can be facilitated by combining the app with face-to-face SCC. As such, blended care appears promising for helping individual smokers quit, as it combines the best of regular SCC and eHealth. Further research on blended care for lower-SES smokers is needed.

Refining the content and design of an alcohol reduction app, Drink Less, to improve its usability and effectiveness: a mixed methods approach

Background: Digital interventions have the potential to reduce alcohol consumption, although evidence on the effectiveness of apps is lacking. Drink Less is a popular, evidence-informed app with good usability, putting it in a strong position to be improved upon prior to conducting a confirmatory evaluation. This paper describes the process of refining Drink Less to improve its usability and likely effectiveness. Methods: The refinement consisted of three phases and involved qualitative and quantitative (mixed) methods: i) identifying changes to app content, based on findings from an initial evaluation of Drink Less, an updated review of digital alcohol interventions and a content analysis of user feedback; ii) designing new app modules with public input and a consultation with app developers and researchers; and iii) improving the app's usability through user testing. Results: As a result of the updated review of digital alcohol interventions and user feedback analysis in Phase 1, three new modules: 'Behaviour Substitution', 'Information about Antecedents' and 'Insights', were added to the app. One existing module - 'Identity Change' - was removed based on the initial evaluation of Drink Less. Phases 2 and 3 resulted in changes to existing features, such as improving the navigational structure and onboarding process, and clarifying how to edit drinks and goals. Conclusions: A mixed methods approach was used to refine the content and design of Drink Less, providing insights into how to improve its usability and likely effectiveness. Drink Less is now ready for a confirmatory evaluation.

Refining the content and design of an alcohol reduction app, Drink Less, to improve its usability and effectiveness: a mixed methods approach

Background: Digital interventions have the potential to reduce alcohol consumption, although evidence on the effectiveness of apps is lacking. Drink Less is a popular, evidence-informed app with good usability, putting it in a strong position to be improved upon prior to conducting a confirmatory evaluation. This paper describes the process of refining Drink Less to improve its usability and likely effectiveness. Methods: The refinement consisted of three phases and involved qualitative and quantitative (mixed) methods: i) identifying changes to app content, based on findings from an initial evaluation of Drink Less, an updated review of digital alcohol interventions and a content analysis of user feedback; ii) designing new app modules with public input and a consultation with app developers and researchers; and iii) improving the app's usability through user testing. Results: As a result of the updated review of digital alcohol interventions and user feedback analysis in Phase 1, three new modules: 'Behaviour Substitution', 'Information about Antecedents' and 'Insights', were added to the app. One existing module - 'Identity Change' - was removed based on the initial evaluation of Drink Less. Phases 2 and 3 resulted in changes to existing features, such as improving the navigational structure and onboarding process, and clarifying how to edit drinks and goals. Conclusions: A mixed methods approach was used to refine the content and design of Drink Less, providing insights into how to improve its usability and likely effectiveness. Drink Less is now ready for a confirmatory evaluation.

Young Adults' (Mis)use of Prescription Opioid Drugs: An Exploratory Study

Based on Social Cognitive Theory (SCT) and the Risk Perception Attitude (RPA) Framework, this study used a survey to examine various factors affecting the risk perception and behavior related to prescription opioid drug (POD) misuse among college students. The results showed that trait reactance, helicopter parenting, and peer pressure were negatively associated with risk perception and positively correlated with POD misuse. Self-efficacy, on the other hand, was positively linked with risk perception and negatively connected with POD misuse. Risk perception was negatively correlated with POD misuse. In addition, self-efficacy moderated the relationship between risk perception and the misuse. This study extends the purview of both SCT and the RPA by testing their central predictions among a sample of a demographic group most vulnerable to the opioid epidemic. It also sheds light on the development of more effective prevention and intervention efforts to counter this burgeoning crisis. Limitations and directions for future research were outlined.

Breaking the cycle of smoking and pain: do pain-related anxiety and pain reduction expectancies sabotage attempts to quit smoking and can smoking cessation improve pain and pain-related disability outcomes?

Contemporary models of smoking and pain suggest a reciprocal and self-perpetuating cycle, wherein smoking reduces pain in the short term but indirectly exacerbates pain in the long term. In a sample of participants engaged in an active smoking-cessation attempt, this investigation assessed a) whether specific smoking risk factors (i.e., smoking expectancies for pain reduction, pain-related anxiety) acted as barriers to cessation, and b) whether breaking the smoking-pain cycle through successful smoking abstinence impacted pain and pain-related disability outcomes for participants with pain. Participants comprised 168 smokers (44.4% with pain) who engaged in an online smoking-cessation program. Pain-related anxiety, but not smoking expectancies, accounted for a significant proportion of variance of smoking dependence from pre- to post-intervention. Results suggest that pain-related anxiety is a risk factor for maintained smoking dependence for all smokers regardless of pain status. Participants with pain who successfully quit smoking experienced statistically and clinically meaningful decreases in pain and pain-related disability from pre- to post-intervention. Exploratory post hoc analyses indicated that individuals who signed-up for the smoking cessation program but failed to begin a quit-attempt had significantly higher pain disability, depression, and anxiety scores than participants who commenced a quit-attempt. Theoretical and practical implications are discussed.

Sex differences in peer and parental risk factors for non-medical use of prescription opioids in youth

Background: Prescription opioid non-medical use (NMU) and its associated consequences have been of concern in the US in recent years.Objective: We examined peer influence and parental guidance, in addition to peer and parental sources of alcohol, on patterns of prescription opioid use, including NMU, among males and females separately. We hypothesized that peer influence and parental guidance would have a differential influence for males and females.Methods: The National Monitoring of Adolescent Prescription Stimulants Study (N-MAPSS) recruited youth 10-18 years from 10 US cities between 2008 and 2011 (n = 11,048). The cross-sectional survey included questions on past 30-day prescription opioid use (10,965 provided responses), with NMU defined as non-oral use and/or use of someone else's opioids. Multinomial logistic regression was conducted, examining medical use only and NMU in the past 30 days.Results: Among the 10,965 youth, 3.1% (n = 345) reported past 30-day NMU. Obtaining alcohol from parents was associated with increased odds of past 30-day NMU among males (OR = 2.49, 95%CI: 1.54,4.03) only. For each additional close friend who used other substances, odds of past 30-day NMU increased among males (OR = 1.23, 95%CI: 1.11,1.37) and females (OR = 1.15, 95%CI: 1.04,1.27). Increased number of close friends was associated with decreased odds of past 30-day NMU among males (OR = 0.87, 95%CI: 0.78,0.97) and females (OR = 0.86, 95%CI: 0.77,0.96).Conclusions: Peer and parental risk factors for prescription opioid NMU were identified among youth, although not all differed by sex. An increased number of close friends was a protective factor against prescription opioid NMU for both males and females.

Help-Seeking for Sexual Difficulties and the Potential Role of Interactive Digital Interventions: Findings From the Third British National Survey of Sexual Attitudes and Lifestyles

Sexual difficulties are common and can negatively impact health and well-being. A wide range of support is available, but there are multiple barriers to accessing help. Interactive digital interventions (IDIs) for sexual difficulties have the potential to provide a convenient, wide-reaching, and cost-effective source of support, but little is known about who might use them. We explored the potential reach of IDIs by assessing the prevalence of help-seeking among people with distressing sexual difficulties, including who seeks which sources of help. Data came from sexually active men and women, ages 16 to 74, participating in Britain's third National Survey of Sexual Attitudes and Lifestyles (Natsal-3) (N = 11,637). Help/advice was sought by less than half of those with distressing sexual difficulties, and help-seeking was associated with younger age in women but not men. The most popular sources of support were family doctor (47.5% to 54.8%), Internet (22.0% to 25.6%), and family/friend (20.7% to 41.8%), with older participants (≥ 35), particularly men, preferring to seek help from a family doctor, and younger participants (<35) preferring to seek help from the Internet or family/friend. Despite a paucity of good digital support sites for sexual function, the Internet is a common source of help. As Internet access continues to increase, so too does the potential for well-designed IDIs to support those with sexual difficulties.

Resilience and psychiatric symptoms as mediators between perceived stress and non-medical use of prescription drugs among college students

Background: Due to the high prevalence of non-medical use of prescription drugs (NMUPD; i.e., use of these drugs without a doctor's prescription) among college students, it is important to identify psychosocial factors relevant to NMUPD. Prior research shows a link between perceived stress, psychiatric symptoms and NMUPD. Resilience is an essential concept in adaptive coping that emphasizes that resilience protects people against stress. Substantial evidence shows the mediation effect of resilience on the relationship between stress, psychiatric symptoms, and substance use. However, scant literature has examined associations between resilience and NMUPD.Objectives: The current study explored the relationship among perceived stress, psychiatric symptoms, resilience, and NMUPD in college students.Methods: Online data were collected from 1,052 undergraduates (68.7% females) with an average age of 19.8 years in 2016 in Virginia, United States, using anonymous surveys assessing perceived stress, psychiatric symptoms (i.e., depression and social anxiety), resilience (i.e., tenacity, tolerance, acceptance, control, and spirituality), and past-three-month NMUPD (i.e., opioids, sedatives, anxiolytics, and stimulants). Structural equation modeling was employed for data analysis.Results: Resilience together with psychiatric symptoms completely mediated the effects of perceived stress on NMUPD. Resilience completely mediated the relationship between perceived stress and psychiatric symptoms. The goodness-of-fit indicators suggested a good fit of data (RMSEA = .04; CFI = .97; TLI = .96; WRMR = 1.37).Conclusions: Resilience appears to offer protection that can mitigate the effects of perceived stress and psychiatric symptoms on NMUPD. Future interventions related to NMUPD among college students should attend to resilience.

Living with asthma and chronic obstructive airways disease: Using technology to support self-management - An overview

Long-term respiratory conditions such as asthma and chronic obstructive pulmonary disease (COPD) are common, and cause high levels of morbidity and mortality. Supporting self-management is advocated for both asthma and increasingly so for COPD, and there is growing interest in the potential role of a range of new technologies, such as smartphone apps, the web or telehealth to facilitate and promote self-management in these conditions. Treatment goals for both asthma and COPD include aiming to control symptoms, maintain activities, achieve the best possible quality of life and minimize risks of exacerbation. To do this, health professionals should be (a) helping patients to recognize deteriorating symptoms and act appropriately; (b) promoting adherence to maintenance therapy; (c) promoting a regular review where triggers can be established, and strategies for managing such triggers discussed; and (d) promoting healthy lifestyles and positive self-management of symptoms. In particular, low uptake of asthma action plans is a modifiable contributor to morbidity and possibly also to mortality in those with asthma and should be addressed as a priority. Using technology to support self-management is an evolving strategy that shows promise. This review provides an overview of self-management support and discusses how newer technologies may help patients and health professionals to meet key treatment goals.

Factors Influencing Usability of a Smartphone App to Reduce Excessive Alcohol Consumption: Think Aloud and Interview Studies

BACKGROUND

Interventions delivered by smartphone apps have the potential to help drinkers reduce their consumption of alcohol. To optimize engagement and reduce the high rates of attrition associated with the use of digital interventions, it is necessary to ensure that an app's design and functionality is appropriate for its intended purposes and target population.

AIMS

To understand the usability of an app to help people reduce their alcohol consumption.

METHOD

The app, Drink Less, contains a core module focusing on goal setting, supplemented by five additional modules: self-monitoring and feedback, identity change, cognitive bias re-training, action planning, and social comparison. Two studies were conducted, a "think aloud" study performed with people using the app for the first time and a semistructured interview study performed after users had had access to the app for at least 2 weeks. A thematic analysis of the "think aloud" and interview transcripts was conducted by one coder and verified by a second.

RESULTS

Twenty-four participants, half of whom were women and half from disadvantaged groups, took part in the two studies. Three main themes identified in the data were "Feeling lost and unsure of what to do next," "Make the app easy to use," and "Make the app beneficial and rewarding to use." These themes reflected participants' need for (i) guidance, particularly when first using the app or when entering data; (ii) the data entry process to be simple and the navigation intuitive; (iii) neither the amount of text nor range of options to be overwhelming; (iv) the app to reward them for effort and progress; and (v) it to be clear how the app could help alcohol reduction goals be reached.

CONCLUSION

First-time and experienced users want an alcohol reduction app to be easy, rewarding, and beneficial to use. An easy-to-use app would reduce user burden, offer ongoing help, and be esthetically pleasing. A rewarding and beneficial app would provide positive reinforcement, give feedback about progress, and demonstrate credibility. Users need help when first using the app, and they need a compelling reason to continue using it.

Efficacy of an Internet-based, individually tailored smoking cessation program: A randomized-controlled trial

Introduction Self-help computer-based programs are easily accessible and cost-effective interventions with a great recruitment potential. However, each program is different and results of meta-analyses may not apply to each new program; therefore, evaluations of new programs are warranted. The aim of this study was to assess the marginal efficacy of a computer-based, individually tailored program (the Coach) over and above the use of a comprehensive Internet smoking cessation website. Methods A two-group randomized controlled trial was conducted. The control group only accessed the website, whereas the intervention group received the Coach in addition. Follow-up was conducted by e-mail after three and six months (self-administrated questionnaires). Of 1120 participants, 579 (51.7%) responded after three months and 436 (38.9%) after six months. The primary outcome was self-reported smoking abstinence over four weeks. Results Counting dropouts as smokers, there were no statistically significant differences between intervention and control groups in smoking cessation rates after three months (20.2% vs. 17.5%, p = 0.25, odds ratio (OR) = 1.20) and six months (17% vs. 15.5%, p = 0.52, OR = 1.12). Excluding dropouts from the analysis, there were statistically significant differences after three months (42% vs. 31.6%, p = 0.01, OR = 1.57), but not after six months (46.1% vs. 37.8%, p = 0.081, OR = 1.41). The program also significantly increased motivation to quit after three months and self-efficacy after three and six months. Discussion An individually tailored program delivered via the Internet and by e-mail in addition to a smoking cessation website did not significantly increase smoking cessation rates, but it increased motivation to quit and self-efficacy.

StopApp: Using the Behaviour Change Wheel to Develop an App to Increase Uptake and Attendance at NHS Stop Smoking Services

Smokers who attend NHS Stop Smoking Services (SSS) are four times more likely to stop smoking; however, uptake has been in decline. We report the development of an intervention designed to increase uptake of SSS, from a more motivated self-selected sample of smokers. In Phase 1 we collected data to explore the barriers and facilitators to people using SSS. In Phase 2, data from extant literature and Phase 1 were subject to behavioural analysis, as outlined by the Behaviour Change Wheel (BCW) framework. Relevant Behaviour Change Techniques (BCTs) were identified in order to address these, informing the content of the StopApp intervention. In Phase 3 we assessed the acceptability of the StopApp. Smokers and ex-smokers identified a number of barriers to attending SSS, including a lack of knowledge about what happens at SSS (Capability); the belief that SSS is not easy to access (Opportunity); that there would be ’scare tactics’ or ‘nagging’; and not knowing anyone who had been and successfully quit (Motivation). The ‘StopApp’ is in development and will link in with the commissioned SSS booking system. Examples of the content and functionality of the app are outlined. The next phase will involve a full trial to test effectiveness.

Details of development of the resource for adults with asthma in the RAISIN (randomized trial of an asthma internet self-management intervention) study

Background

Around 300 million people worldwide have asthma and prevalence is increasing. Self-management can be effective in improving a range of outcomes and is cost effective, but is underutilised as a treatment strategy. Supporting optimum self-management using digital technology shows promise, but how best to do this is not clear. We aimed to develop an evidence based, theory informed, online resource to support self-management in adults with asthma, called ‘Living well with Asthma’, as part of the RAISIN (Randomized Trial of an Asthma Internet Self-Management Intervention) study.

Methods

We developed Living well with Asthma in two phases.

Phase 1: A low fidelity prototype (paper-based) version of the website was developed iteratively through input from a multidisciplinary expert panel, empirical evidence from the literature, and potential end users via focus groups (adults with asthma and practice nurses). Implementation and behaviour change theories informed this process.

Phase 2: The paper-based designs were converted to a website through an iterative user centred process. Adults with asthma (n = 10) took part in think aloud studies, discussing the paper based version, then the web-based version. Participants considered contents, layout, and navigation. Development was agile using feedback from the think aloud sessions immediately to inform design and subsequent think aloud sessions. Think aloud transcripts were also thematically analysed, further informing resource development.

Results

The website asked users to aim to be symptom free. Key behaviours targeted to achieve this include: optimising medication use (including inhaler technique); attending primary care asthma reviews; using asthma action plans; increasing physical activity levels; and stopping smoking. The website had 11 sections, plus email reminders, which promoted these behaviours. Feedback on the contents of the resource was mainly positive with most changes focussing on clarification of language, order of pages and usability issues mainly relating to navigation difficulties.

Conclusions

Our multifaceted approach to online intervention development underpinned by theory, using evidence from the literature, co-designed with end users and a multidisciplinary panel has resulted in a resource which end users find relevant to their needs and easy to use. Living well with Asthma is undergoing evaluation within a randomized controlled trial.

Electronic supplementary material

The online version of this article (doi:10.1186/s12911-015-0177-z) contains supplementary material, which is available to authorized users.

Internet-based intervention for smoking cessation (StopAdvisor) in people with low and high socioeconomic status: a randomised controlled trial

BACKGROUND

Internet-based interventions for smoking cessation could help millions of people stop smoking at very low unit costs; however, long-term biochemically verified evidence is scarce and such interventions might be less effective for smokers with low socioeconomic status than for those with high status because of lower online literacy to engage with websites. We aimed to assess a new interactive internet-based intervention (StopAdvisor) for smoking cessation that was designed with particular attention directed to people with low socioeconomic status.

METHODS

We did this online randomised controlled trial between Dec 6, 2011, and Oct 11, 2013, in the UK. Participants aged 18 years and older who smoked every day were randomly assigned (1:1) to receive treatment with StopAdvisor or an information-only website. Randomisation was automated with an unseen random number function embedded in the website to establish which treatment was revealed after the online baseline assessment. Recruitment continued until the required sample size had been achieved from both high and low socioeconomic status subpopulations. Participants, and researchers who obtained data and did laboratory analyses, were masked to treatment allocation. The primary outcome was 6 month sustained, biochemically verified abstinence. The main secondary outcome was 6 month, 7 day biochemically verified point prevalence. Analysis was by intention to treat. Homogeneity of intervention effect across the socioeconomic subsamples was first assessed to establish whether overall or separate subsample analyses were appropriate. The study is registered as an International Standard Randomised Controlled Trial, number ISRCTN99820519.

FINDINGS

We randomly assigned 4613 participants to the StopAdvisor group (n=2321) or the control group (n=2292); 2142 participants were of low socioeconomic status and 2471 participants were of high status. The overall rate of smoking cessation was similar between participants in the StopAdvisor and control groups for the primary (237 [10%] vs 220 [10%] participants; relative risk [RR] 1·06, 95% CI 0·89-1·27; p=0·49) and the secondary (358 [15%] vs 332 [15%] participants; 1·06, 0·93-1·22; p=0·37) outcomes; however, the intervention effect differed across socioeconomic status subsamples (1·44, 0·99-2·09; p=0·0562 and 1·37, 1·02-1·84; p=0·0360, respectively). StopAdvisor helped participants with low socioeconomic status stop smoking compared with the information-only website (primary outcome: 90 [8%] of 1088 vs 64 [6%] of 1054 participants; RR 1·36, 95% CI 1·00-1·86; p=0·0499; secondary outcome: 136 [13%] vs 100 [10%] participants; 1·32, 1·03-1·68, p=0·0267), but did not improve cessation rates in those with high socioeconomic status (147 [12%] of 1233 vs 156 [13%] of 1238 participants; 0·95, 0·77-1·17; p=0·61 and 222 [18%] vs 232 [19%] participants; 0·96, 0·81-1·13, p=0·64, respectively).

INTERPRETATION

StopAdvisor was more effective than an information-only website in smokers of low, but not high, socioeconomic status. StopAdvisor could be implemented easily and made freely available, which would probably improve the success rates of smokers with low socioeconomic status who are seeking online support.

FUNDING

National Prevention Research Initiative.

Seeking health information and support online: does it differ as a function of engagement in risky health behaviors? Evidence from the health information national trends survey

BACKGROUND

The Internet is an important tool to deliver health behavior interventions, yet little is known about Internet access and use of health-related information, or support, by the intended intervention recipients.

OBJECTIVE

Our aim was to evaluate whether health-related Internet use differed as a function of common health-risk behaviors (excessive alcohol consumption, smoking, low fruit/vegetable intake, inactive/sedentary lifestyle, unprotected sun exposure, or obesity).

METHODS

Sociodemographic, health behavior characteristics, and information on Internet access and use were assessed in the nationally representative US Health Information National Trends Survey (HINTS) 4. Data from 3911 participants collated in 2011/12 were included.

RESULTS

Of the 78.2% (95% CI 76.1-80.1) of participants who had ever accessed the Internet, approximately three-quarters (78.2%, 95% CI 75.4-80.7) had obtained health-related information online last year. About half had used the Internet as the first source of health-related information (47.8%, 95% CI 44.8-50.7) or to access behavioral support (56.9%, 95% CI 53.7-60.0) in the last year. Adjusting for sociodemographic determinants of going online (being younger, white, female, with at least college education) revealed few differences in Internet access and use between health-risk behaviors. Participants with inadequate sun protection were less likely to access the Internet (OR 0.59, 95% CI 0.04-0.88) and those with low fruit/vegetable intake were less likely to have gone online to obtain health-related information last year (OR 0.60, 95% CI 0.45-0.80). Smokers in particular were likely to use the Internet to obtain behavioral support (OR 1.90, 95% CI 1.35-2.68).

CONCLUSIONS

Internet access and use to obtain health-related information and support is widespread and mostly independent of engagement in various health-risk behaviors. However, those with low fruit/vegetable intake or inadequate sun-protective behaviors may be more difficult to reach with Internet-based interventions. In addition, when developing online health promotions, relevant sociodemographic determinants of Internet use need to be targeted to maximize their impact.

The needs and preferences of pregnant smokers regarding tailored Internet-based smoking cessation interventions: a qualitative interview study

Background

Internet-based Smoking Cessation Interventions (ISCIs) may help pregnant smokers who are unable, or unwilling, to access face-to-face stop smoking support. Targeting ISCIs to specific groups of smokers could increase their uptake and effectiveness. The current study explored the needs and preferences of pregnant women seeking online stop smoking support with an aim to identify features and components of ISCIs that might be most attractive to this population.

Methods

We conducted qualitative interviews with thirteen pregnant women who completed the intervention arm of a pilot randomized controlled trial of a novel ISCI for pregnant smokers (‘MumsQuit’). The interviews explored women’s views towards MumsQuit and online support with quitting smoking in general, as well as their suggestions for how ISCIs could be best targeted to pregnancy. Interview transcripts were analyzed using Framework Analysis.

Results

Participants expressed preferences for an accessible, highly engaging and targeted to pregnancy smoking cessation website, tailored to individuals’ circumstances as well as use of cessation medication, offering comprehensive and novel information on smoking and quitting smoking in pregnancy, ongoing support with cravings management, as well as additional support following relapse to smoking. Participants also viewed as important targeting of the feedback and progress reports to baby’s health and development, offering personal support from experts, and providing a discussion forum allowing for communication with other pregnant women wanting to quit .

Conclusions

The present study has identified a number of potential building blocks for ISCIs targeted to quitting smoking in pregnancy. Pregnant smokers willing to try using ISCI may particularly value an engaging intervention offering a high degree of targeting of comprehensive information to them as a group and tailoring support and advice to their individual needs, as well as one providing post-relapse support, peer-to-peer communication and personal support from experts.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2458-14-1070) contains supplementary material, which is available to authorized users.

Pilot randomized controlled trial of an internet-based smoking cessation intervention for pregnant smokers ('MumsQuit')

BACKGROUND

Internet-based Smoking Cessation Interventions could help pregnant women quit smoking, especially those who do not wish to, or cannot, access face-to-face or telephone support. This study aimed to preliminarily evaluate the effectiveness and usage of a fully automated smoking cessation website targeted to pregnancy, 'MumsQuit', and obtain an initial effect-size estimate for a full scale trial.

METHODS

We recruited 200 UK-based pregnant adult smokers online to a two-arm double-blind pilot RCT assessing the effectiveness of MumsQuit compared with an information-only website. MumsQuit was adapted from a generic internet smoking cessation intervention, 'StopAdvisor'. The primary outcome was self-reported continuous 4-week abstinence assessed at 8 weeks post-baseline. Secondary outcomes were automatically collected data on intervention usage.

RESULTS

Participants smoked 15 cigarettes per day on average, 73% were in the first trimester of their pregnancy, 48% were from lower socioeconomic backgrounds, and 43% had never used evidence-based cessation support. The point estimate of odds ratio for the primary outcome was 1.5 (95% CI=0.8-2.9; 28% vs. 21%). Compared with control participants, those in the MumsQuit group logged in more often (3.5 vs. 1.3, p<0.001), viewed more pages (67.4 vs. 5.7, p<0.001) and spent more time browsing the website (21.3min vs. 1.0min, p<0.001).

CONCLUSIONS

MumsQuit is an engaging and potentially helpful form of support for pregnant women who seek cessation support online, and merits further development and evaluation in a full-scale RCT.

Equity impact of European individual-level smoking cessation interventions to reduce smoking in adults: a systematic review

BACKGROUND

Smoking is the leading cause of health inequalities in Europe. Adults from lower socioeconomic status (SES) groups are more likely to smoke and less likely to quit than adults from higher SES groups. Smoking cessation support is an important element of tobacco control; however, the equity impact of individual-level cessation support is uncertain.

METHODS

Systematic review of individual-level smoking cessation interventions delivered in European countries, reporting a smoking cessation outcome (quit) in adults of lower compared with higher SES. Equity impact was assessed as positive (reduced inequality), neutral (no difference by SES), negative (increased inequality) or unclear.

RESULTS

Twenty-nine studies were included using different types of support: behavioural and pharmacological (17); behavioural only (11), including specialist (5), brief advice (1), mass media (2), text-based (1) and Internet-based (2); and pharmacological only (1). The distribution of equity effects on quitting was 10 neutral, 18 negative and 1 unclear. Two national studies of UK National Health Service (NHS) stop-smoking services showed overall positive equity impact on smoking prevalence. The evidence suggests that UK NHS services that target low-SES smokers achieve a relatively higher service uptake among low-SES smokers, which can compensate for their lower quit rates.

CONCLUSIONS

Untargeted smoking cessation interventions in Europe may have contributed to reducing adult smoking but are, on balance, likely to have increased inequalities in smoking. However, UK NHS stop-smoking services appear to reduce inequalities in smoking through increased relative reach through targeting services to low-SES smokers. More research is needed to strengthen the evidence-base for reducing smoking inequalities.

The development and testing of a brief ('gist-based') supplementary colorectal cancer screening information leaflet

OBJECTIVE

To design and user-test a 'gist-based' colorectal cancer screening information leaflet, which promotes comprehension of the screening offer.

METHODS

Twenty-eight individuals approaching screening age were recruited from organisations in deprived areas of England. Using a between-subjects design, we tested iterations of a newly-designed gist-based information leaflet. Participants read the leaflet and answered 8 'true' or 'false' comprehension statements. For the leaflet to be considered fit-for-purpose, all statements had to be answered correctly by at least 80% of participants in each round. Alterations were made if this threshold was not met and additional rounds of testing were undertaken.

RESULTS

At round 1, answers to 2/8 statements did not meet the threshold. After changes, answers in round 2 did not reach the threshold for 1/8 statements. In round 3, all answers were adequate and the leaflet was deemed fit-for-purpose. Qualitative data offered solutions such as language and layout changes which led to improved comprehension of the leaflet.

CONCLUSION

User-testing substantially improved the design and subsequent comprehensibility of a theory-driven gist-based colorectal cancer screening information leaflet.

PRACTICAL IMPLICATIONS

This leaflet will be evaluated as part of a large national randomised controlled trial designed to reduce socioeconomic inequalities in colorectal cancer screening participation.

Internet and computer based interventions for cannabis use: a meta-analysis

BACKGROUND

Worldwide, cannabis is the most prevalently used illegal drug and creates demand for prevention and treatment services that cannot be fulfilled using conventional approaches. Computer and Internet-based interventions may have the potential to meet this need. Therefore, we systematically reviewed the literature and conducted a meta-analysis on the effectiveness of this approach in reducing the frequency of cannabis use.

METHODS

We systematically searched online databases (Medline, PubMed, PsychINFO, Embase) for eligible studies and conducted a meta-analysis. Studies had to use a randomized design, be delivered either via the Internet or computer and report separate outcomes for cannabis use. The principal outcome measure was the frequency of cannabis use.

RESULTS

Data were extracted from 10 studies and the meta-analysis involved 10 comparisons with 4,125 participants. The overall effect size was small but significant, g=0.16 (95% confidence interval (CI) 0.09-0.22, P<0.001) at post-treatment. Subgroup analyses did not reveal significant subgroup differences for key factors including type of analysis (intention-to-treat, completers only), type of control (active, waitlist), age group (11-16, 17+ years), gender composition (female only, mixed), type of intervention (prevention, 'treatment'), guided versus unguided programs, mode of delivery (Internet, computer), individual versus family dyad and venue (home, research setting). Also, no significant moderation effects were found for number of sessions and time to follow-up. Finally, there was no evidence of publication bias.

CONCLUSIONS

Internet and computer interventions appear to be effective in reducing cannabis use in the short-term albeit based on data from few studies and across diverse samples.

A randomised controlled trial of a theory-based interactive internet-based smoking cessation intervention (‘StopAdvisor’): Study protocol

Background: Internet-based interventions can help smokers to quit compared with brief written materials or no intervention. However, they are not widely used, particularly by more disadvantaged smokers, and there is significant variation in their effectiveness. A new smoking cessation website (‘StopAdvisor’) has been systematically developed on the basis of PRIME theory, empirical evidence, web-design expertise and user-testing with socio-economically disadvantaged smokers. This paper reports the protocol of a randomised controlled trial to evaluate the efficacy of StopAdvisor and determine whether it translates across the social spectrum.

Methods: The trial has two arms with participants randomised to the offer of the interactive ‘StopAdvisor’ website (intervention condition) or a non-interactive, static website (control condition). Participants are adults from the UK, who smoke every day and are willing to make a serious quit attempt within a month of enrolment. At least 4260 participants will be recruited with a minimum of 2130 in each of two socio-economic sub-groups. The intervention comprises a structured quit plan and a variety of theory- and evidence-based behaviour change techniques for smoking cessation. Tailored support is offered in the form of a series of tunnelled sessions and a variety of interactive menus for use up to a month before, and then for one month after quitting (http://www.lifeguideonline.org/player/play/stopadvisordemonstration). The control is a static website that presents brief and standard advice on smoking cessation. Assessments are at baseline and 2-, 4- and 7-months post-enrolment. The primary outcome measure will be Russell Standard 6-months sustained abstinence, defined as self-reported continuous abstinence verified by saliva cotinine or anabasine at 7-month follow-up. Secondary outcome measures will include 7-day point-prevalence abstinence at 7-month follow-up, self-reported abstinence at 2- and 4-month follow-ups, satisfaction ratings of the website and quantitative indices of website interaction. All analyses will be by intention to treat and the main analysis will compare the two conditions on the primary outcome measure using a logistic regression model, adjusted for baseline characteristics. The efficacy of the intervention across the social spectrum will be assessed by a logistic regression focusing on the interaction between condition and socio-economic disadvantage.

Trial registration: ISRCTN99820519.

Prevalence and characteristics of smokers interested in internet-based smoking cessation interventions: cross-sectional findings from a national household survey

Background

An accurate and up-to-date estimate of the potential reach of Internet-based smoking cessation interventions (ISCIs) would improve calculations of impact while an understanding of the characteristics of potential users would facilitate the design of interventions.

Objective

This study reports the prevalence and the sociodemographic, smoking, and Internet-use characteristics of smokers interested in using ISCIs in a nationally representative sample.

Methods

Data were collected using cross-sectional household surveys of representative samples of adults in England. Interest in trying an Internet site or “app” that was proven to help with stopping smoking was assessed in 1128 adult smokers in addition to sociodemographic characteristics, dependence, motivation to quit, previous attempts to quit smoking, Internet and handheld computer access, and recent types of information searched online.

Results

Of a representative sample of current smokers, 46.6% (95% CI 43.5%-49.6%) were interested in using an Internet-based smoking cessation intervention. In contrast, only 0.3% (95% CI 0%-0.7%) of smokers reported having used such an intervention to support their most recent quit attempt within the past year. After adjusting for all other background characteristics, interested smokers were younger (OR=0.98, 95% CI 0.97-0.99), reported stronger urges (OR=1.29, 95% CI 1.10-1.51), were more motivated to quit within 3 months (OR=2.16, 95% CI 1.54-3.02), and were more likely to have made a quit attempt in the past year (OR=1.76, 95% CI 1.30-2.37), access the Internet at least weekly (OR=2.17, 95% CI 1.40-3.36), have handheld computer access (OR=1.65, 95% CI 1.22-2.24), and have used the Internet to search for online smoking cessation information or support in past 3 months (OR=2.82, 95% CI 1.20-6.62). There was no association with social grade.

Conclusions

Almost half of all smokers in England are interested in using online smoking cessation interventions, yet fewer than 1% have used them to support a quit attempt in the past year. Interest is not associated with social grade but is associated with being younger, more highly motivated, more cigarette dependent, having attempted to quit recently, having regular Internet and handheld computer access, and having recently searched for online smoking cessation information and support.

Development of StopAdvisor: A theory-based interactive internet-based smoking cessation intervention

Reviews of internet-based behaviour-change interventions have shown that they can be effective but there is considerable heterogeneity and effect sizes are generally small. In order to advance science and technology in this area, it is essential to be able to build on principles and evidence of behaviour change in an incremental manner. We report the development of an interactive smoking cessation website, StopAdvisor, designed to be attractive and effective across the social spectrum. It was informed by a broad motivational theory (PRIME), empirical evidence, web-design expertise, and user-testing. The intervention was developed using an open-source web-development platform, 'LifeGuide', designed to facilitate optimisation and collaboration. We identified 19 theoretical propositions, 33 evidence- or theory-based behaviour change techniques, 26 web-design principles and nine principles from user-testing. These were synthesised to create the website, 'StopAdvisor' (see http://www.lifeguideonline.org/player/play/stopadvisordemonstration). The systematic and transparent application of theory, evidence, web-design expertise and user-testing within an open-source development platform can provide a basis for multi-phase optimisation contributing to an 'incremental technology' of behaviour change.

Characterising the ‘Txt2Stop’ Smoking Cessation Text Messaging Intervention in Terms of Behaviour Change Techniques

The ‘Txt2Stop’ SMS messaging programme has been found to double smokers’ chances of stopping. It is important to characterise the content of this information in terms of specific behaviour change techniques (BCTs) for the purpose of future development. This study aimed to (i) extend a proven system for coding BCTs to text messaging and (ii) characterise Txt2Stop using this system. A taxonomy previously used to specify BCTs in face-to-face behavioural support for smoking cessation was adapted for the Txt2Stop messages and inter-rater reliability for the adapted system assessed. The system was then applied to all the messages in the Txt2Stop programme to determine its profile in terms of BCTs used. The text message taxonomy comprised 34 BCTs. Inter-rater reliability was moderate, reaching a ceiling of 61% for the core program messages with all discrepancies readily resolved. Of 899 texts delivering BCTs, 218 aimed to maintain motivation to remain abstinent, 870 to enhance self-regulatory capacity or skills, 39 to promote use of adjuvant behaviours such as using stop-smoking medication, 552 to maintain engagement with the intervention and 24 were general communication techniques. The content of Txt2Stop focuses on helping smokers with self-regulation and maintaining engagement with the intervention. The intervention focuses to a lesser extent on boosting motivation to remain abstinent; little attention is given to promoting effective use of adjuvant behaviours such as use of nicotine replacement therapy. As new interventions of this kind are developed it will be possible to compare their effectiveness and relate this to standardised descriptions of their content using this system.