Pilot RCT results of stop my smoking USA: a text messaging-based smoking cessation program for young adults

Underreporting of implementation strategies and barriers in physical activity interventions for young people at risk of problematic substance use: a brief report

BACKGROUND

Several studies have assessed whether physical activity interventions can reduce substance use in young people at risk of problematic substance use. This report identifies and describes the reporting of implementation characteristics within published studies of physical activity interventions for young people at risk of problematic substance use and provides recommendations for future reporting.

METHODS

Reported implementation strategies (including intervention manualization), barriers, implementation fidelity, and personnel acceptance were extracted from studies of physical activity interventions for young people aged 12-25 years at risk of problematic substance use that were included in a previous systematic review of intervention efficacy.

RESULTS

Implementation strategies were reported in less than half of the included studies (42.9%), implementation barriers in only 10.7% of studies, intervention fidelity in 21.4%, and personnel acceptance in a single study (3.6%).

CONCLUSIONS

Results indicate insufficient reporting of implementation strategies, barriers, fidelity, and personnel acceptance. Consideration of implementation characteristics is essential for implementing physical activity interventions in practice. Inadequate or limited reporting of these characteristics may contribute to delayed uptake and adoption of evidence-based interventions in clinical practice. Recommendations to improve the reporting of implementation information include integrating standards for reporting implementation characteristics into existing reporting guidelines, developing an international taxonomy of implementation strategies, and upskilling intervention researchers in the fundamentals of implementation science.

Systematic review and meta-analysis of text messaging interventions to support tobacco cessation

OBJECTIVE

To review randomised controlled trials (RCTs) investigating the effectiveness of text message-based interventions for smoking cessation, including the effects of dose (number of text messages) and concomitant use of behavioural or pharmacological interventions.

DATA SOURCES

We searched seven databases (PubMed, CINAHL, PsycINFO, Scopus, EMBASE, Cochrane Library and Web of Science), Google Scholar and the reference lists of relevant publications for RCTs. Eligible studies included participants aged ≥15 years who smoked tobacco at enrolment.

STUDY SELECTION

One reviewer screened titles and abstracts and two reviewers independently screened full texts of articles.

DATA EXTRACTION

One of three reviewers independently extracted data on study and intervention characteristics and smoking abstinence rates using Qualtrics software.

DATA SYNTHESIS

30 of the 40 included studies reported higher rates of smoking cessation among those receiving text messaging interventions compared with comparators, but only 10 were statistically significant. A meta-analysis of seven RCTs found that participants receiving text messages were significantly more likely to quit smoking compared with participants in no/minimal intervention or 'usual care' conditions (risk ratio 1.87, 95% CI 1.52 to 2.29, p <0.001). Three trials found no benefit from a higher dose of text messages on smoking cessation. Two trials that tested the added benefit of text messaging to pharmacotherapy reported outcomes in favour of adding text messaging.

CONCLUSIONS

Findings suggest that text messaging-based interventions are effective at promoting smoking cessation. Further research is required to establish if any additional benefit is gained from an increased number of text messages or concurrent pharmacotherapy or behavioural counselling.

Efficacy of e-health interventions for smoking cessation management in smokers: a systematic review and meta-analysis

Background

Smoking is one of the major risk factors for shortened lifespan and disability, while smoking cessation is currently the only guaranteed method to reduce the harm caused by smoking. E-health is a field that utilizes information and communication technology to support the health status of its users. The emergence of this digital health approach has provided a new way of smoking cessation support for smokers seeking help, and an increasing number of researchers are attempting to use e-health for a wide range of effective smoking cessation interventions. We conducted a systematic review and meta-analysis of studies that used e-health as a smoking cessation support tool.

Methods

This systematic review and meta-analysis searched the PubMed, Embase, and Cochrane Library databases until December 2022. The included studies were randomized controlled trials (RCTs) comparing the use of e-health interventions and traditional offline smoking cessation care interventions. The primary outcome of the studies was the point smoking cessation rate (7-day and 30-day), and the secondary outcome was sustained smoking cessation rates. Studies were excluded if there was no clear e-health intervention described or if standard-compliant cessation outcomes were not clearly reported. Fixed-effects meta-analysis and meta-regression analyses were performed on the included study data to evaluate the effectiveness of the interventions. The meta-analysis outcome was the risk ratio (RR) and a 95% confidence interval. The study was registered with PROSPERO, CRD42023388667.

Findings

We collectively screened 2408 articles, and ultimately included 39 articles with a total of 17,351 eligible participants, of which 44 studies were included in the meta-analysis. The meta-analysis revealed that compared to traditional smoking cessation interventions, e-health interventions can increase point quit rates (RR 1.86, 95% CI 1.69-2.04) as well as sustained quit rates in the long-term (RR 1.79, 95% CI 1.60-2.00) among smokers. Subgroup analysis showed that text and telephone interventions in e-health significantly improved short-term quit rates for up to 7 days (RR 2.10, 95% CI 1.77-2.48). Website and app interventions also had a positive impact on improving short-term quit rates for up to 7 days (RR 1.74, 95% CI 1.56-1.94). The heterogeneity of the study results was low, demonstrating the significant smoking cessation advantages of e-health interventions.

Interpretation

We have found that personalized e-health interventions can effectively help smokers quit smoking. The diverse remote intervention methods of e-health can provide more convenient options for further customization. Additionally, further follow-up research is needed to evaluate the sustained effectiveness of interventions on smokers' continuous abstinence over a longer period (greater than one year). In the future, e-health can further optimize smoking cessation strategies.

Funding

No funding.

Behaviour change techniques in physical activity-focused interventions for young people at risk of problematic substance use: A systematic review and meta-analysis

AIM

This systematic review investigates behaviour change techniques in interventions promoting physical activity for young people aged 12-25 years at heightened risk of problematic substance use, and the effect of these techniques on physical activity participation and substance use outcomes.

METHODS

Four databases (PsycINFO, CINAHL, SPORTDiscus and Medline) were searched between November 2020 and November 2022 for randomized and non-randomized controlled studies according to inclusion criteria. Meta-analyses were calculated using weighted, standardized averages of effect sizes (Hedges' g).

RESULTS

Twenty-eight studies were included, 14 studies in the meta-analysis (intervention n = 1328; control n = 845). Reported BCTs included behavioural instructions, social comparison and goal setting. There was a significant effect of behaviour change techniques on combined substance use outcomes, such as cravings and consumption, for interventions reporting multiple behaviour change techniques (g = -0.33, p < .001, 95% CI [-0.50,-0.16]) or one single behaviour change technique (g = -1.84, p < .001, 95% CI [-2.89,-0.8]). Limitations include unexplained variance and limited reporting of relevant behaviour change technique data in the included studies.

CONCLUSION

The results indicate that using behaviour change techniques in interventions that promote physical activity for young people has an effect on substance use. Further research needs to be completed comparing the impact of the number and type of behaviour change technique, and improved reporting of intervention content is required.

Mobile Phone-Based Interventions for Smoking Cessation Among Young People: Systematic Review and Meta-Analysis

Background

Mobile phone-based cessation interventions have emerged as a promising alternative for smoking cessation, while evidence of the efficacy of mobile phone-based smoking cessation programs among young people is mixed.

Objective

This study aimed to determine the efficacy of mobile phone-based interventions compared to usual practice or assessment-only controls on smoking cessation in young people.

Methods

In this systematic review and meta-analysis, we searched Cochrane Library, Embase, PubMed, and Web of Science on March 8, 2023. We included randomized controlled trials that examined the efficacy of mobile phone-based interventions on smoking cessation in young people (age ≤30 years). The risk of bias was assessed with Cochrane Risk of Bias 2.

Results

A total of 13 eligible studies, comprising 27,240 participants, were included in this analysis. The age range of the participants was between 16 and 30 years. Nine studies were SMS text messaging interventions, and 4 studies were app-based interventions. The duration of the smoking cessation intervention varied from 5 days to 6 months. The included studies were conducted in the following countries: the United States, China, Sweden, Canada, Switzerland, and Thailand. The meta-analysis revealed that SMS text messaging interventions significantly improved continuous abstinence rates compared to inactive control conditions (risk ratio [RR] 1.51, 95% CI 1.24-1.84). The subgroup analysis showed pooled RRs of 1.90 (95% CI 1.29-2.81), 1.64 (95% CI 1.23-2.18), and 1.35 (95% CI 1.04-1.76) for continuous abstinence at the 1-, 3-, and 6- month follow-up, respectively. Pooling across 7 studies, SMS text messaging interventions showed efficacy in promoting 7-day point prevalence abstinence (PPA), with an RR of 1.83 (95% CI 1.34-2.48). The subgroup analysis demonstrated a significant impact at the 1- and 3-month follow-ups, with pooled RRs of 1.72 (95% CI 1.13-2.63) and 2.54 (95% CI 2.05-3.14), respectively, compared to inactive control conditions. However, at the 6-month follow-up, the efficacy of SMS text messaging interventions in promoting 7-day PPA was not statistically significant (RR 1.45, 95% CI 0.92-2.28). In contrast, app-based interventions did not show significant efficacy in promoting continuous abstinence or 7-day PPA. However, it is important to note that the evidence for app-based interventions was limited.

Conclusions

SMS text messaging-based smoking cessation interventions compared to inactive controls were associated with abstinence among young people and could be considered a viable option for smoking cessation in this population. More research is needed on smoking cessation apps, especially apps that target young people. Future research should focus on identifying the most effective mobile phone-based cessation approaches and on developing strategies to increase their uptake and intention.

The effectiveness of digital health technologies for reducing substance use among young people: a systematic review & meta-analysis

BACKGROUND

Substance use amongst young people poses developmental and clinical challenges, necessitating early detection and treatment. Considering the widespread use of technology in young people, delivering interventions digitally may help to reduce and monitor their substance use.

AIMS

We conducted a systematic review and two meta-analyses to assess the effectiveness of digital interventions for reducing substance use (alcohol, smoking, and other substances) among young people aged 10 to 24 years old.

METHOD

Embase, Global Health, Medline, PsychINFO, Web of Science and reference lists of relevant papers were searched in November 2020. Studies were included if they quantitatively evaluated the effectiveness of digital health technologies for treating substance use. A narrative synthesis and meta-analysis were conducted.

RESULTS

Forty-two studies were included in the systematic review and 18 in the meta-analyses. Digital interventions showed small, but statistically significant reductions in weekly alcohol consumption compared to controls (SMD= -0.12, 95% CI= -0.17 to -0.06, I2=0%), but no overall effect was seen on 30-day smoking abstinence (OR = 1.12, 95% CI = 0.70 to 1.80, I2=81%). The effectiveness of digital interventions for reducing substance use is generally weak, however, promising results such as reducing alcohol use were seen. Large-scale studies should investigate the viability of digital interventions, collect user feedback, and determine cost-effectiveness.

PRISMA/PROSPERO

This systematic review was conducted following Cochrane methodology PRISMA guidelines. The review was registered with PROSPERO in November 2020 (CRD42020218442).

Behavioral Sleep Interventions and Cardiovascular Risk Factors: Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND/OBJECTIVES

Chronic sleep disturbance has been consistently associated with cardiovascular disease. We sought to determine whether behavioral interventions to improve sleep have been associated with improvements in 4 common cardiovascular disease risk factors: hypertension, diabetes mellitus (DM), obesity, and smoking.

METHODS

Randomized controlled trials evaluating the prospective effect of behavioral sleep interventions on (a) blood pressure in participants with hypertension/prehypertension, (b) glycemic control in participants with DM/pre-DM, (c) anthropometrics in participants who were overweight/obese, and (d) smoking status in smokers were eligible. Where feasible, we undertook random-effects meta-analyses of standardized mean differences in cardiovascular disease risk factor change.

RESULTS

Overall, 3 trials met the inclusion criteria for blood pressure, 4 for glycemic control, 9 for overweight/obesity, and 2 for smoking. On meta-analysis, interventions with sleep as the sole behavioral target were associated with a significant reduction in hemoglobin A1c% (-0.84; 95% confidence interval [CI], -1.34 to -0.34), but not a significant reduction in systolic blood pressure (-0.18; 95% CI, -0.55 to 0.20) versus controls. In addition, any interventions with sleep as a behavioral target were associated with significant reductions in hemoglobin A1c% (-0.71; 95% CI, -1.01 to -0.42) and weight (-0.78; 95% CI, -1.11 to -0.45), but not systolic blood pressure (-0.72; 95% CI, -1.82 to 0.37). Trials evaluating smoking status were not amenable to meta-analysis.

CONCLUSION

Behavioral interventions to improve sleep were associated with improved glycemic control in patients with DM. It is also possible that these interventions improve weight in individuals who were overweight/obese. A low number of trials and small sample sizes indicate that further large, well-designed randomized controlled trials of interventions are warranted.

Systematic review: interventions to quit tobacco products for young adults

BACKGROUND

Young adulthood is an important period for smoking cessation; however, there is limited evidence of smoking-cessation interventions for young adults. The aims of this study were to identify evidence-based smoking-cessation strategies for young adults, examine gaps in the literature regarding smoking cessation among young adults, and discuss methodological issues/challenges related to smoking-cessation studies for young adults.

METHODS

Studies tested interventions for smoking cessation among young adults (18 to 26 years old), excluding pilot studies. Five main search engines were used, including PubMed, the Cumulative Index of Nursing and Allied Health Literature (CINAHL), EMBASE, PsycINFO, and Web of Science. The search was conducted for articles published from January 2009 to December 2019. Intervention characteristics and cessation outcomes were reviewed, and methodological quality was evaluated.

RESULTS

A total of 14 articles met inclusion criteria, including randomized controlled studies and repeated cross-sectional studies. Interventions included the following: text messaging (4/14, 28.6%), social media use (2/14, 14.3%), web-or app-based intervention (2/14, 14.3%), telephone counseling (1/14, 7.1%), in-person counseling (3/14, 21.4%), pharmacological (1/14, 7.1%), and self-help booklet (1/14, 7.1%). The intervention duration and frequency of contact with participants differed and yielded varied outcomes.

CONCLUSIONS

Multiple interventions have been examined to aid young adults in achieving smoking cessation. While several approaches seem promising, at the present time, the published literature is inconclusive about the type of intervention that is most effective for young adults. Future studies should compare the relative effectiveness of these intervention modalities.

Digital interventions for smoking abstinence: a systematic review and meta-analysis of randomized control trials

OBJECTIVES

Technological advancements have improved patients' health and clinical care through digital interventions. This study investigated the effects of digital interventions on smoking abstinence.

METHODS

PubMed, the Cochrane Library, and Scopus were systematically searched from inception until December 2021. Meta-analysis was carried out using a random-effects model. The degree of heterogeneity, quality, and publication bias of the selected studies was further evaluated.

RESULTS

A total of 43 randomized control trial studies were eligible for this study. 38,814 participants from 18 countries were included in the analysis. Digital interventions on seven-day point prevalence abstinence (1 month) showed increased smoking abstinence. The odds ratio was 2.02 and confidence interval (CI) was 1.67-2.43; p < 0.001; I² = 55.1%) . The result for a 30-day point prevalence abstinence (1 month) was 1.63 (CI 1.09-2.46; p = 0.018; I² = 0%). Digital intervention also had a significant effect on continuous abstinence (odds ratio = 1.68; CI 1.29-2.18; p < 0.001; I² = 70.1%) and prolonged abstinence (odds ratio = 1.60; CI 1.19-2.15; p = 0.002; I² = 53.6%). There was evidence of heterogeneity and publication bias.

CONCLUSIONS

Digital interventions led to increased smoking abstinence and can be a valuable tool in smoking cessation. Further research is required to evaluate the long-term impact of digital interventions on outcomes related to smoking cessation.

Tobacco use among transgender and gender non-binary youth in Brazil

Transgender and gender non-binary youth are particularly vulnerable to tobacco smoking and susceptible to smoking adverse health outcomes. That is, they are in special risk to start smoking and, after starting, they may face worse outcomes when comparing to their cisgender peers. Therefore, the present study aims to evaluate factors associated with tobacco use among transgender and gender non-binary youth. Brazilian youth aged 16 to 25 who identify as transgender or gender non-binary answered an online questionnaire. Poisson regression with robust variance was run to predict smoking cigarettes based on individual and environmental factors. 14.1% of 206 youth reported smoking cigarettes daily, whereas 9.3% of participants reported smoking e-cigarettes occasionally. Drug use, lack of social support, deprivation, discrimination, the wait for medical gender-affirming procedures and being outside school were associated with smoking cigarettes. Contextual and individual factors should be further explored in causal analysis and taken into consideration when planning smoking prevention and cessation interventions for transgender and gender non-binary youth.

Six-Month Outcomes from the NEXit Junior Trial of a Text Messaging Smoking Cessation Intervention for High School Students: Randomized Controlled Trial With Bayesian Analysis

Background

The prevalence of daily or occasional smoking among high school students in Sweden was approximately 20% in 2019, which is problematic since lifestyle behaviors are established in adolescence and track into adulthood. The Nicotine Exit (NEXit) Junior trial was conducted in response to a lack of evidence for the effects of text message smoking cessation interventions among high school students in Sweden.

Objective

The aim of this study was to estimate the 3- and 6-month effects of a text messaging intervention among high school students in Sweden on smoking cessation outcomes.

Methods

A 2-arm, single-blind randomized controlled trial was employed to estimate the effects of the intervention on smoking cessation in comparison to treatment as usual. Participants were recruited from high schools in Sweden using advertising and promotion by school staff from January 10, 2018, to January 10, 2019. Weekly or daily smokers who were willing to make a quit attempt were eligible for inclusion. Prolonged abstinence and point prevalence of smoking cessation were measured at 3 and 6 months after randomization.

Results

Complete case analysis was possible on 57.9% (310/535) of the participants at 6 months, with no observed statistically significant effect on 5-month prolonged abstinence (odds ratio [OR] 1.27, 95% CI 0.73-2.20; P=.39) or 4-week smoking cessation (OR 1.42; 95% CI 0.83-2.46; P=.20). Sensitivity analyses using imputation yielded similar findings. Unplanned Bayesian analyses showed that the effects of the intervention were in the anticipated direction. The findings were limited by the risk of bias induced by high attrition (42.1%). The trial recruited high school students in a pragmatic setting and included both weekly and daily smokers; thus, generalization to the target population is more direct compared with findings obtained under more strict study procedures.

Conclusions

Higher than expected attrition rates to follow-up 6 months after randomization led to null hypothesis tests being underpowered; however, unplanned Bayesian analyses found that the effects of the intervention were in the anticipated direction. Future trials of smoking cessation interventions targeting high school students should aim to prepare strategies for increasing retention to mid- and long-term follow-up.

Trial Registration

IRCTN Registry ISRCTN15396225; https://www.isrctn.com/ISRCTN15396225

International Registered Report Identifier (IRRID)

RR2-10.1186/s13063-018-3028-2

A Pilot RCT Evaluating InThistoGether, an mHealth HIV Prevention Program for Ugandan Youth

Despite data suggesting that older adolescence is an important period of risk for HIV acquisition in Uganda, tailored HIV prevention programming is lacking. To address this gap, we developed and tested nationally, InThistoGether (ITG), a text messaging-based HIV prevention program for 18-22 year-old Ugandan youth. To assess feasibility and acceptability, and preliminary indications of behavior change, a randomized controlled trial was conducted with 202 youth. Participants were assigned either to ITG or an attention-matched control group that promoted general health (e.g., self-esteem). They were recruited between December 2017 and April 2018 on Facebook and Instagram, and enrolled over the telephone. Between 5-10 text messages were sent daily for seven weeks. Twelve weeks later, the intervention ended with a one-week 'booster' that reviewed the main program topics. Measures were assessed at baseline and intervention end, 5 months post-randomization. Results suggest that ITG is feasible: The retention rate was 83%. Ratings for the content and program features met acceptability thresholds; program experience ratings were mixed. ITG also was associated with significantly higher rates of condom-protected sex (aIRR = 1.68, p < 0.001) and odds of HIV testing (aOR = 2.41, p = 0.03) compared to the control group. The odds of abstinence were similar by experimental arm however (aOR = 1.08, p = 0.86). Together, these data suggest reason for optimism that older adolescent Ugandans are willing to engage in an intensive, text messaging-based HIV prevention programming. Given its wide reach and low cost, text messaging should be better utilized as an intervention delivery tool in low-income settings like Uganda. Findings also suggest that ITG may be associated with behavior change in the short-term. (Trial registration: ClinicalTrials.gov ID# NCT02729337).

Pilot Randomized Clinical Trial of a Text Messaging-Based Intervention for Smoking Cessation Among Young People Experiencing Homelessness

INTRODUCTION

Smoking rates are alarmingly high among young people experiencing homelessness (YEH), yet there are no evidence-based cessation programs for this population. This paper presents results from a pilot evaluation of a text messaging-based smoking cessation treatment, as an adjunct to brief group cessation counseling, to improve abstinence rates among 18-25 year old smokers experiencing homelessness. The goal of this study was to estimate effect sizes for a larger trial and it was not powered to detect group differences.

METHODS

YEH smokers who had a working cell phone with them at recruitment were randomized to receive a group counseling session, nicotine patches, and written material on quitting (n=37) or a similar program that also included a 6-week automated text messaging intervention (TMI) to provide ongoing support for quitting (n=40). Smoking outcomes were evaluated through a 90-day follow-up.

RESULTS

7-day point prevalence abstinence at 90-day follow-up was higher in the TMI condition than standard condition (17.50% vs. 8.11%, respectively; Cohen's h=.37); however, the 90-day continuous abstinence rate was not statistically different from zero in either condition. Reductions in the number of days smoked in the past 30 days from baseline to follow-up were greater in the TMI condition than the standard condition (-14.24 vs. -8.62, respectively; Cohen's d=.49).

CONCLUSIONS

Adding a 6-week TMI support to a brief group counseling and pharmacotherapy protocol holds promise for smoking reduction and abstinence among YEH smokers. Results indicate that further development and evaluation of the TMI in this population is warranted.

IMPLICATIONS

This is the first study to evaluate the feasibility of using a text messaging-based intervention (TMI) for behavior change with 18-25 year olds experiencing homelessness, and more specifically, the first to test a TMI to provide ongoing support for smoking cessation. Small to medium effect sizes for the TMI are promising in terms of implementing a TMI using participants' own cell phones, as well as the efficacy of this approach as an adjunct to standard care (brief group counseling and pharmacotherapy) for smoking cessation among young people experiencing homelessness.

An mHealth Intervention for Pregnancy Prevention for LGB Teens: An RCT

BACKGROUND

Although lesbian, gay, bisexual and other sexual minority (LGB+) girls are more likely than heterosexual girls to be pregnant during adolescence, relevant pregnancy prevention programming is lacking.

METHODS

A national randomized controlled trial was conducted with 948 14- to 18-year-old cisgender LGB+ girls assigned to either Girl2Girl or an attention-matched control group. Participants were recruited on social media between January 2017 and January 2018 and enrolled over the telephone. Between 5 and 10 text messages were sent daily for 7 weeks. Both experimental arms ended with a 1-week booster delivered 12 weeks subsequently.

RESULTS

A total of 799 (84%) participants completed the intervention end survey. Participants were, on average, 16.1 years of age (SD: 1.2 years). Forty-three percent were minority race; 24% were Hispanic ethnicity. Fifteen percent lived in a rural area and 29% came from a low-income household. Girl2Girl was associated with significantly higher rates of condom-protected sex (adjusted odds ratio [aOR] = 1.48, P < .001), current use of birth control other than condoms (aOR = 1.60, P = .02), and intentions to use birth control among those not currently on birth control (aOR = 1.93, P = .001). Differences in pregnancy were clinically but not statistically significant (aOR = 0.43, P = .23). Abstinence (aOR = 0.82, P = .34), intentions to be abstinent (aOR = 0.95, P = .77), and intentions to use condoms (aOR = 1.09, P = .59) were similar by study arm.

CONCLUSIONS

Girl2Girl appears to be associated with increases in pregnancy preventive behaviors for LGB+ girls, at least in the short-term. Comprehensive text messaging-based interventions could be used more widely to promote adolescent sexual health behaviors across the United States.

Feasibility of text messaging to augment brief advice and nicotine replacement therapy for smoking cessation in college students

To test the feasibility of a university health center-delivered smoking cessation intervention that adds a 6-week course of text messaging to brief advice and nicotine patch therapy. Participants: Young adult cigarette smokers (n = 40) from 2 universities from January 2015 to May 2016. Methods: Randomized controlled trial comparing brief advice, nicotine patch therapy and: (1) a 6-week text messaging intervention (n = 20); or (2) no text messaging (n = 20). Primary outcomes included enrollment, retention and satisfaction. Results: Forty participants enrolled (38% of those screened). Retention rates were 98% and 92.5% at 6 and 12 weeks. Of those who completed the text intervention (n = 16), 64.3% felt the texts were "helpful", however they reported desire for tailoring and concern that texts triggered smoking. Biochemically confirmed abstinence rates did not significantly differ between text and control arms. Conclusions: These feasibility data suggest that text messaging may need to be modified to better engage and motivate college-age smokers.

Smoking-Cessation Interventions for U.S. Young Adults: Updated Systematic Review

CONTEXT

Recent data suggest that the onset of cigarette smoking is now more likely during young adulthood than adolescence. Additionally, the landscape of delivering smoking-cessation interventions has changed in the past decade, with the emergence of mobile phone and web-based approaches. The objective of this study is to update a 2010 systematic review of smoking-cessation interventions for U.S. young adults (aged 18-24 years).

EVIDENCE ACQUISITION

Electronic searches were conducted in CINAHL, the Cochrane Library, Embase, PsycINFO, PubMed, Scopus, and Sociological Abstracts to identify eligible interventions from August 31, 2009 through July 17, 2019. Two independent coders critically evaluated the methodology and findings of all retrieved articles. Data analysis was conducted in 2019.

EVIDENCE SYNTHESIS

A total of 17 RCTs and 1 nonrandomized study were added to the original 14 studies meeting the inclusion criteria for this review; these studies varied with respect to sample size, intervention, assessed outcomes, and smoking measures. Of the new studies, 3 increased cessation in the short term, 2 at 6 months, and 1 had short-term effects on cigarette reduction. Pooled analyses supported the use of interventions employing social cognitive theory, quitline counseling, and text message programs for short-term cessation in young adults.

CONCLUSIONS

Of 32 included studies, 9 demonstrated efficacy of smoking cessation or reduction in U.S. young adults. There were no eligible pharmacologic interventions included in this review. Findings support the promise of 3 approaches for young adult cessation not included in the prior review: text message interventions, sustained quit-and-win contests, and multiple behavior interventions.

mHealth smoking cessation intervention among high school students: 3-month primary outcome findings from a randomized controlled trial

Background

Smoking among adolescents remains a global public health issue as youth continue to maintain high prevalence rates. The evidence for the efficacy of text messaging interventions to reduce smoking behavior is well established, yet there is still a need for studies targeting high school students. The aim of the study was to determine the effectiveness of a text-based smoking cessation intervention among high school students in Sweden.

Methods

The study was a two-arm randomized trial conducted from January 10 2018 to January 11 2019, data were analysed from April 12 2019 to May 21 2019. Inclusion criteria were high school students who were daily or weekly smokers willing to attempt to quit smoking and owned a mobile phone. The study invited all students at 630 high schools units throughout Sweden. The intervention group received text messages based on components of effective smoking cessation interventions for 12 weeks. The control group were offered treatment as usual. The primary outcomes were self-reported prolonged abstinence (not having smoked more than 5 cigarettes over the last 8 weeks) and 4-week point prevalence of smoking abstinence.

Findings

A total of 535 participants, with a median age of 17 (IQR 16–18), were randomized into the study; 276 (164 [59.4%] women) were allocated to the intervention and 259 (162 [62.5%] women) to the control group. The outcomes of the trial were analyzed on a total of 212 (76.8%) participants in the intervention group and 201 (77.6%) participants in the control group. Prolonged abstinence at the 3-month follow-up was reported by 49 (23.1%) individuals in the intervention group and 39 (19.4%) individuals in the control group (adjusted OR, 1.21; 95% CI, 0.73–2.01; P value, .46). Four-week point prevalence of complete smoking cessation was reported by 53 (25.0%) individuals in the intervention group and 31 (15.4%) individuals in the control group (adjusted OR, 1.87; 95% CI, 1.12–3.17; P value, .018).

Conclusions

Estimates of 4-week point prevalence of complete cessation was 10 percentage points higher in the group that were given access to the intervention compared to the control. Findings provide confirmation that text messaging-based smoking cessation programs can affect quit rates among adolescents.

Trial registration

ISRCTN15396225; registration date October 13, 2017, https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-018-3028-2.

A text message intervention for quitting cigarette smoking among young adults experiencing homelessness: study protocol for a pilot randomized controlled trial

BACKGROUND

Cigarette smoking is much more prevalent among young people experiencing homelessness than in the general population of adolescents and young adults. Although many young homeless smokers are motivated to quit, there are no empirically-evaluated smoking cessation programs for this population. It is important that any such program address the factors known to be associated with quitting-related outcomes among homeless young people, to provide ongoing support in a way that accommodates the mobility of this population, and does not rely on scarce service provider resources for its delivery. The objective of this project is to develop and pilot test a text messaging-based intervention (TMI), as an adjunct to brief cessation counseling and provision of nicotine patches, to help homeless young people who want to quit smoking.

METHODS/DESIGN

This pilot study will utilize a cluster cross-over randomized controlled design with up to 80 current smokers who desire to quit and are recruited from three drop-in centers serving young people experiencing homelessness in the Los Angeles area. All participants will be provided with a minimum standard of care: a 30-min group-based smoking cessation counseling session and free nicotine replacement. Half of these smokers will then also receive the TMI, as an adjunct to this standard care, which will provide 6 weeks of ongoing support for quitting. This support includes continued and more intensive education regarding nicotine dependence, quitting smoking, and relapse; does not require additional agency resources; can be available "on demand" to users; and includes features to personalize the quitting experience. This study will investigate whether receiving the TMI adjunct to standard smoking cessation care results in greater reductions in cigarette smoking compared to standard care alone over a 3-month period.

DISCUSSION

This study has the potential to address an important gap in the clinical research literature on cigarette smoking cessation and provide empirical support for using a TMI to provide ongoing assistance and support for quitting among young smokers experiencing homelessness. Trial registration ClinicalTrials.gov Identifier NCT03874585. Registered March 14, 2019, https://clinicaltrials.gov/ct2/show/record/NCT03874585.

Exercise interventions for smoking cessation

BACKGROUND

Taking regular exercise, whether cardiovascular-type exercise or resistance exercise, may help people to give up smoking, particularly by reducing cigarette withdrawal symptoms and cravings, and by helping to manage weight gain.

OBJECTIVES

To determine the effectiveness of exercise-based interventions alone, or combined with a smoking cessation programme, for achieving long-term smoking cessation, compared with a smoking cessation intervention alone or other non-exercise intervention.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register for studies, using the term 'exercise' or 'physical activity' in the title, abstract or keywords. The date of the most recent search was May 2019.

SELECTION CRITERIA

We included randomised controlled trials that compared an exercise programme alone, or an exercise programme as an adjunct to a cessation programme, with a cessation programme alone or another non-exercise control group. Trials were required to recruit smokers wishing to quit or recent quitters, to assess abstinence as an outcome and have follow-up of at least six months.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods. Smoking cessation was measured after at least six months, using the most rigorous definition available, on an intention-to-treat basis. We calculated risk ratios (RRs) and 95% confidence intervals (CIs) for smoking cessation for each study, where possible. We grouped eligible studies according to the type of comparison, as either smoking cessation or relapse prevention. We carried out meta-analyses where appropriate, using Mantel-Haenszel random-effects models.

MAIN RESULTS

We identified 24 eligible trials with a total of 7279 adult participants randomised. Two studies focused on relapse prevention among smokers who had recently stopped smoking, and the remaining 22 studies were concerned with smoking cessation for smokers who wished to quit. Eleven studies were with women only and one with men only. Most studies recruited fairly inactive people. Most of the trials employed supervised, group-based cardiovascular-type exercise supplemented by a home-based exercise programme and combined with a multi-session cognitive behavioural smoking cessation programme. The comparator in most cases was a multi-session cognitive behavioural smoking cessation programme alone. Overall, we judged two studies to be at low risk of bias, 11 at high risk of bias, and 11 at unclear risk of bias. Among the 21 studies analysed, we found low-certainty evidence, limited by potential publication bias and by imprecision, comparing the effect of exercise plus smoking cessation support with smoking cessation support alone on smoking cessation outcomes (RR 1.08, 95% CI 0.96 to 1.22; I² = 0%; 6607 participants). We excluded one study from this analysis as smoking abstinence rates for the study groups were not reported. There was no evidence of subgroup differences according to the type of exercise promoted; the subgroups considered were: cardiovascular-type exercise alone (17 studies), resistance training alone (one study), combined cardiovascular-type and resistance exercise (one study) and type of exercise not specified (two studies). The results were not significantly altered when we excluded trials with high risk of bias, or those with special populations, or those where smoking cessation intervention support was not matched between the intervention and control arms. Among the two relapse prevention studies, we found very low-certainty evidence, limited by risk of bias and imprecision, that adding exercise to relapse prevention did not improve long-term abstinence compared with relapse prevention alone (RR 0.98, 95% CI 0.65 to 1.47; I² = 0%; 453 participants).

AUTHORS' CONCLUSIONS

There is no evidence that adding exercise to smoking cessation support improves abstinence compared with support alone, but the evidence is insufficient to assess whether there is a modest benefit. Estimates of treatment effect were of low or very low certainty, because of concerns about bias in the trials, imprecision and publication bias. Consequently, future trials may change these conclusions.

Mobile phone text messaging and app-based interventions for smoking cessation

BACKGROUND

Mobile phone-based smoking cessation support (mCessation) offers the opportunity to provide behavioural support to those who cannot or do not want face-to-face support. In addition, mCessation can be automated and therefore provided affordably even in resource-poor settings. This is an update of a Cochrane Review first published in 2006, and previously updated in 2009 and 2012.

OBJECTIVES

To determine whether mobile phone-based smoking cessation interventions increase smoking cessation rates in people who smoke.

SEARCH METHODS

For this update, we searched the Cochrane Tobacco Addiction Group's Specialised Register, along with clinicaltrials.gov and the ICTRP. The date of the most recent searches was 29 October 2018.

SELECTION CRITERIA

Participants were smokers of any age. Eligible interventions were those testing any type of predominantly mobile phone-based programme (such as text messages (or smartphone app) for smoking cessation. We included randomised controlled trials with smoking cessation outcomes reported at at least six-month follow-up.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures described in the Cochrane Handbook for Systematic Reviews of Interventions. We performed both study eligibility checks and data extraction in duplicate. We performed meta-analyses of the most stringent measures of abstinence at six months' follow-up or longer, using a Mantel-Haenszel random-effects method, pooling studies with similar interventions and similar comparators to calculate risk ratios (RR) and their corresponding 95% confidence intervals (CI). We conducted analyses including all randomised (with dropouts counted as still smoking) and complete cases only.

MAIN RESULTS

This review includes 26 studies (33,849 participants). Overall, we judged 13 studies to be at low risk of bias, three at high risk, and the remainder at unclear risk. Settings and recruitment procedures varied across studies, but most studies were conducted in high-income countries. There was moderate-certainty evidence, limited by inconsistency, that automated text messaging interventions were more effective than minimal smoking cessation support (RR 1.54, 95% CI 1.19 to 2.00; I² = 71%; 13 studies, 14,133 participants). There was also moderate-certainty evidence, limited by imprecision, that text messaging added to other smoking cessation interventions was more effective than the other smoking cessation interventions alone (RR 1.59, 95% CI 1.09 to 2.33; I² = 0%, 4 studies, 997 participants). Two studies comparing text messaging with other smoking cessation interventions, and three studies comparing high- and low-intensity messaging, did not show significant differences between groups (RR 0.92 95% CI 0.61 to 1.40; I² = 27%; 2 studies, 2238 participants; and RR 1.00, 95% CI 0.95 to 1.06; I² = 0%, 3 studies, 12,985 participants, respectively) but confidence intervals were wide in the former comparison. Five studies compared a smoking cessation smartphone app with lower-intensity smoking cessation support (either a lower-intensity app or non-app minimal support). We pooled the evidence and deemed it to be of very low certainty due to inconsistency and serious imprecision. It provided no evidence that smartphone apps improved the likelihood of smoking cessation (RR 1.00, 95% CI 0.66 to 1.52; I² = 59%; 5 studies, 3079 participants). Other smartphone apps tested differed from the apps included in the analysis, as two used contingency management and one combined text messaging with an app, and so we did not pool them. Using complete case data as opposed to using data from all participants randomised did not substantially alter the findings.

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that automated text message-based smoking cessation interventions result in greater quit rates than minimal smoking cessation support. There is moderate-certainty evidence of the benefit of text messaging interventions in addition to other smoking cessation support in comparison with that smoking cessation support alone. The evidence comparing smartphone apps with less intensive support was of very low certainty, and more randomised controlled trials are needed to test these interventions.

Predictors of Retention in an Adult Text Messaging Smoking Cessation Intervention Program: Cohort Study

Background

Mobile health tools such as text messaging programs can support smoking cessation. However, high rates of disengagement from these tools decrease their effectiveness.

Objective

The purpose of this study was to identify user characteristics associated with retention in an adult text messaging smoking cessation intervention.

Methods

Adults initiating a quit attempt using the publicly available program SmokefreeTXT between March 6 and June 21, 2016 (n=6215), were included. Data were collected to assess nicotine dependence, frequency of being around other smokers, time of the day for cigarette cravings, extrinsic and intrinsic motivation to quit smoking, confidence in quitting, and long-term intention to be smoke free. Multivariable survival analysis modeling for time to opt out was conducted to identify characteristics associated with opting out over the course of the intervention, adjusting for age, sex, and smoking frequency, reset of the quit date by the user, and the number of days enrolled before initiating the quit attempt. Among those who opted out, multivariable multinomial logistic regression analysis was used to identify predictors of opting out early (within 3 days and between 4 and 7 days into the quit attempt) compared to opting out late (more than 7 days into the quit attempt), adjusting for the same confounders.

Results

Survival analyses indicated that younger age, female sex, higher levels of nicotine dependence, lower intention to be smoke free, and enrolling in SmokefreeTXT ≤1 week before initiating the quit attempt were associated with an increased risk of opting out. For example, users who smoked within 5 minutes of waking up were 1.17 times more likely to opt out than those who smoked more than 5 minutes after waking up (95% CI 1.01-1.35). Among users who opted out from SmokefreeTXT, logistic regression modeling indicated that compared to users who were never or rarely around other smokers, those who were sometimes around other smokers had 1.96 times more likely to opt out within the first 3 days of the quit attempt (95% CI 1.18-3.25). In addition, compared to users with high levels of long-term quit intention, users with lower levels of intention had 1.80 times the odds of opting out between 4 and 7 days into the quit attempt (95% CI 1.02-3.18). Users who reset their quit date after initiating a quit attempt were less likely to opt out at either time point compared with those who did not reset their quit date.

Conclusions

Several user characteristics are associated with retention in an adult text messaging smoking cessation program. These results provide guidance on potential characteristics that should be addressed in future text messaging smoking cessation programs. Providing additional support to users with these characteristics may increase retention in text messaging programs and ultimately lead to smoking cessation.

Exploring the Experiences of Individuals Allocated to a Control Setting: Findings From a Mobile Health Smoking Cessation Trial

Background

Tobacco smoking is the primary cause of preventable premature disease and death worldwide. Evidence of the efficacy of text messaging interventions to reduce smoking behavior is well established, but there is still a need for studies targeting young people, especially because young adult smokers are less likely to seek treatment than older adults. A mobile health intervention, Nicotine Exit (NEXit), targeting smoking among university students was developed to support university students to quit smoking. Short-term effectiveness was measured through a randomized controlled trial, which found that immediately after the 12-week intervention, 26% of smokers in the intervention group had prolonged abstinence compared with 15% in the control group.

Objective

The objective of this study was to explore the experience of being allocated to the control group in the NEXit smoking cessation intervention.

Methods

We asked students who were allocated to the control group in the main NEXit randomized controlled trial to report their experiences. An email was sent to the participants with an electronic link to a short questionnaire. We assessed the distribution of the responses to the questionnaire by descriptive analysis. We analyzed free-text comments to 4 questions.

Results

The response rate for the questionnaire was 33.8% (258/763), and we collected 143 free-text comments. Of the responders, 60.9% (157/258) experienced frustration, disappointment, and irritation about being allocated to the control group; they felt they were being denied support by having to wait for the intervention. Monthly text messages during the waiting period thanking them for taking part in the trial were perceived as negative by 72.3% (189/258), but for some the messages served as a reminder about the decision to quit smoking. Of the responders, 61.2% (158/258) chose to wait to quit smoking until they had access to the intervention, and 29.8% (77/258) decided to try to quit smoking without support. Of the respondents, 77.5% (200/258) claimed they were still smoking and had signed up or were thinking about signing up for the smoking cessation program at the time of the questionnaire.

Conclusions

Most of the respondents reported negative feelings about having to wait for the support of the intervention and that they had decided to continue smoking. A similar number decided to wait to quit smoking until they had access to the intervention, and these respondents reported a high interest in the intervention. Free-text comments indicated that some control group participants believed that they had been excluded from the trial, while others were confused when asked to sign up for the intervention again.

Trial Registration

ISRCTN Registry ISRCTN75766527; http://www.isrctn.com/ISRCTN75766527 (Archived by WebCite at http://www.webcitation.org/7678sUKbR)

Mobile Phone-Based Smoking-Cessation Intervention for Patients Undergoing Elective Surgery: Protocol for a Randomized Controlled Trial

Background

Several large studies have shown that the risk of cardiovascular, respiratory, and wound-healing complications (including death) within 30 days of surgery is greater for smokers than for nonsmokers. However, there is evidence that even short-term perioperative smoking cessation may reduce postoperative morbidity. Over the past few years, it has become more evident that short message service (SMS)–based interventions can help individuals quit smoking.

Objective

The overall aim of this project is to fill the knowledge gap on whether an SMS-based smoking-cessation intervention can be effective in helping patients stop smoking perioperatively. The aim of this trial is to evaluate the effectiveness of an SMS-based intervention on smoking behavior of patients undergoing elective surgery.

Methods

A two-arm parallel-group randomized controlled trial will be conducted at 20 surgical departments in southeast Sweden. Smokers undergoing elective surgery who own a mobile phone will be included. Power calculations indicate that it will be necessary to randomize 434 participants. One group will be given access to a novel 12-week SMS program, which includes daily SMS messages with behavior change–enforcing text content and hyperlinks to interactive modules, while the other group will not be given access to the intervention. Both groups will have access to the surgical departments’ current routine for smoking cessation prior to surgery. Primary outcome measures, prolonged abstinence, and point prevalence of smoking cessation will be measured through questionnaires at 3, 6, and 12 months after randomization. Logistic regression models adjusted using baseline characteristics will be explored to identify potential effects of the intervention.

Results

Recruitment started in late October 2018 and is expected to last for a maximum of 30 months. The first results are expected to be available approximately 3 months after the final date of recruitment.

Conclusions

Owing to the structural problems and scarcity of time and resources, patients at most Swedish surgical departments are simply instructed to quit smoking, and perhaps, referred to a primary health care clinic. An SMS-based smoking-cessation aid can be effective in helping individuals quit smoking and is a very simple and time-efficient tool for surgical departments to use.

Trial Registration

ISRCTN Registry ISRCTN33869008; http://www.isrctn.com/ISRCTN33869008

International Registered Report Identifier (IRRID)

PRR1-10.2196/12511

mHealth smoking cessation intervention among high-school pupils (NEXit Junior): study protocol for a randomized controlled trial

Background

Mobile health (mHealth) interventions, using text messages to support high-school pupils to quit smoking, could be a novel and cost-effective approach. However, more research is needed, specifically to investigate long-term effectiveness. The study aims to evaluate the effectiveness of a newly developed mHealth intervention targeting smoking cessation among high-school pupils.

Methods

The study is a two-arm, randomized controlled trial with an intervention group (mHealth intervention) and a control group (treatment as usual: national smoking cessation help line). Outcome measures will be investigated at baseline and at 3, 6, and 12 months’ follow-up. Primary outcome measures will be: prolonged abstinence and 4-week point prevalence of smoking abstinence. Secondary outcome measures will be: 7-day point prevalence of smoking abstinence; mean number of quit attempts since taking part in the study; number of uses of other smoking cessation services since first invitation to the study and number of cigarettes smoked weekly if still smoking.

Discussion

High schools in Sweden are bound by law to offer a smoke-free environment. However, little effort has been made to offer support to pupils who wish to quit smoking; rather the emphasis is on prevention of uptake. The study will examine the effectiveness of a stand-alone mHealth intervention targeting smokers among high-school pupils.

Trial registration

The trial was not retrospectively registered and has been registered at ISRCTN with the unique identification number ISRCTN15396225. The trial was registered on 13 October 2017.

Electronic supplementary material

The online version of this article (10.1186/s13063-018-3028-2) contains supplementary material, which is available to authorized users.

Which eHealth interventions are most effective for smoking cessation? A systematic review

PURPOSE

To synthesize evidence of the effects and potential effect modifiers of different electronic health (eHealth) interventions to help people quit smoking.

METHODS

Four databases (MEDLINE, PsycINFO, Embase, and The Cochrane Library) were searched in March 2017 using terms that included "smoking cessation", "eHealth/mHealth" and "electronic technology" to find relevant studies. Meta-analysis and meta-regression analyses were performed using Mantel-Haenszel test for fixed-effect risk ratio (RR) and restricted maximum-likelihood technique, respectively. Protocol Registration Number: CRD42017072560.

RESULTS

The review included 108 studies and 110,372 participants. Compared to nonactive control groups (eg, usual care), smoking cessation interventions using web-based and mobile health (mHealth) platform resulted in significantly greater smoking abstinence, RR 2.03 (95% CI 1.7-2.03), and RR 1.71 (95% CI 1.35-2.16), respectively. Similarly, smoking cessation trials using tailored text messages (RR 1.80, 95% CI 1.54-2.10) and web-based information and conjunctive nicotine replacement therapy (RR 1.29, 95% CI 1.17-1.43) may also increase cessation. In contrast, little or no benefit for smoking abstinence was found for computer-assisted interventions (RR 1.31, 95% CI 1.11-1.53). The magnitude of effect sizes from mHealth smoking cessation interventions was likely to be greater if the trial was conducted in the USA or Europe and when the intervention included individually tailored text messages. In contrast, high frequency of texts (daily) was less effective than weekly texts.

CONCLUSIONS

There was consistent evidence that web-based and mHealth smoking cessation interventions may increase abstinence moderately. Methodologic quality of trials and the intervention characteristics (tailored vs untailored) are critical effect modifiers among eHealth smoking cessation interventions, especially for web-based and text messaging trials. Future smoking cessation intervention should take advantages of web-based and mHealth engagement to improve prolonged abstinence.

Validation of mobile phone text messages for nicotine and tobacco risk communication among college students: A content analysis

INTRODUCTION

In the United States, young adults have the highest prevalence of tobacco use. The dissemination of mobile phone text messages is a growing strategy for tobacco risk communication among young adults. However, little has been done concerning the design and validation of such text messages. The Texas Tobacco Center of Regulatory Science (Texas-TCORS) has developed a library of messages based on framing (gain- or loss-framed), depth (simple or complex) and appeal (emotional or rational). This study validated the library based on depth and appeal, identified text messages that may need improvement, and explored new themes.

METHODS

The library formed the study sample (N=976 messages). The Linguistic Inquiry and Word Count (LIWC) software of 2015 was used to code for word count, word length and frequency of emotional and cognitive words. Analyses of variance, logistic regression and scatter plots were conducted for validation.

RESULTS

In all, 874 messages agreed with LIWC-coding. Several messages did not agree with LIWC. Ten messages designed to be complex indicated simplicity, while 51 messages designed to be rational exhibited no cognitive words. New relevant themes were identified, such as health (e.g. ‘diagnosis’, ‘cancer’), death (e.g. ‘dead’, ‘lethal’) and social connotations (e.g. ‘parents’, ‘friends’).

CONCLUSIONS

Nicotine and tobacco researchers can safely use, for young adults, messages from the Texas-TCORS library to convey information in the intended style. Future work may expand upon the new themes. Findings will be utilized to develop new campaigns, so that risks of nicotine and tobacco products can be widely disseminated.

The effectiveness of smoking cessation, physical activity/diet and alcohol reduction interventions delivered by mobile phones for the prevention of non-communicable diseases: A systematic review of randomised controlled trials

BACKGROUND

We conducted a systematic review to assess the effectiveness of smoking cessation, physical activity (PA), diet, and alcohol reduction interventions delivered by mobile technology to prevent non-communicable diseases (NCDs).

METHODS

We searched for randomised controlled trials (RCTs) of mobile-based NCD prevention interventions using MEDLINE, EMBASE, Global Health, CINAHL (Jan 1990-Jan 2016). Two authors extracted data.

FINDINGS

71 trials were included: smoking cessation (n = 18); PA (n = 15), diet (n = 3), PA and diet (n = 25); PA, diet, and smoking cessation (n = 2); and harmful alcohol consumption (n = 8). 4 trials had low risk of bias. The effect of SMS-based smoking cessation support on biochemically verified continuous abstinence was pooled relative risk [RR] 2.19 [95% CI 1.80-2.68], I2 = 0%) and on verified 7 day point prevalence of smoking cessation was pooled RR 1.51 [95% CI 1.06-2.15], I2 = 0%, with no reported adverse events. There was no difference in peak oxygen intake at 3 months in a trial of an SMS-based PA intervention. The effect of SMS-based diet and PA interventions on: incidence of diabetes was pooled RR 0.67 [95% CI 0.49, 0.90], I2 = 0.0%; end-point weight was pooled MD -0.99Kg [95% CI -3.63, 1.64] I2 = 29.4%; % change in weight was pooled MD -3.1 [95%CI -4.86- -1.3] I2 0.3%; and on triglyceride levels was pooled MD -0.19 mmol/L [95% CI -0.29, -0.08], I2 = 0.0%. The results of other pooled analyses of the effect of SMS-based diet and PA interventions were heterogenous (I2 59-90%). The effects of alcohol reduction interventions were inconclusive.

CONCLUSIONS

Smoking cessation support delivered by SMS increases quitting rates. Trials of PA interventions reporting outcomes ≥3 months showed no benefits. There were at best modest benefits of diet and PA interventions. The effects of the most promising SMS-based smoking, diet and PA interventions on morbidity and mortality in high-risk groups should be established in adequately powered RCTs.

Tobacco cessation interventions for young people

BACKGROUND

Most tobacco control programmes for adolescents are based around prevention of uptake, but teenage smoking is still common. It is unclear if interventions that are effective for adults can also help adolescents to quit. This is the update of a Cochrane Review first published in 2006.

OBJECTIVES

To evaluate the effectiveness of strategies that help young people to stop smoking tobacco.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group's Specialized Register in June 2017. This includes reports for trials identified in CENTRAL, MEDLINE, Embase and PsyclNFO.

SELECTION CRITERIA

We included individually and cluster-randomized controlled trials recruiting young people, aged under 20 years, who were regular tobacco smokers. We included any interventions for smoking cessation; these could include pharmacotherapy, psycho-social interventions and complex programmes targeting families, schools or communities. We excluded programmes primarily aimed at prevention of uptake. The primary outcome was smoking status after at least six months' follow-up among those who smoked at baseline.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed the eligibility of candidate trials and extracted data. We evaluated included studies for risk of bias using standard Cochrane methodology and grouped them by intervention type and by the theoretical basis of the intervention. Where meta-analysis was appropriate, we estimated pooled risk ratios using a Mantel-Haenszel fixed-effect method, based on the quit rates at six months' follow-up.

MAIN RESULTS

Forty-one trials involving more than 13,000 young people met our inclusion criteria (26 individually randomized controlled trials and 15 cluster-randomized trials). We judged the majority of studies to be at high or unclear risk of bias in at least one domain. Interventions were varied, with the majority adopting forms of individual or group counselling, with or without additional self-help materials to form complex interventions. Eight studies used primarily computer or messaging interventions, and four small studies used pharmacological interventions (nicotine patch or gum, or bupropion). There was evidence of an intervention effect for group counselling (9 studies, risk ratio (RR) 1.35, 95% confidence interval (CI) 1.03 to 1.77), but not for individual counselling (7 studies, RR 1.07, 95% CI 0.83 to 1.39), mixed delivery methods (8 studies, RR 1.26, 95% CI 0.95 to 1.66) or the computer or messaging interventions (pooled RRs between 0.79 and 1.18, 9 studies in total). There was no clear evidence for the effectiveness of pharmacological interventions, although confidence intervals were wide (nicotine replacement therapy 3 studies, RR 1.11, 95% CI 0.48 to 2.58; bupropion 1 study RR 1.49, 95% CI 0.55 to 4.02). No subgroup precluded the possibility of a clinically important effect. Studies of pharmacotherapies reported some adverse events considered related to study treatment, though most were mild, whereas no adverse events were reported in studies of behavioural interventions. Our certainty in the findings for all comparisons is low or very low, mainly because of the clinical heterogeneity of the interventions, imprecision in the effect size estimates, and issues with risk of bias.

AUTHORS' CONCLUSIONS

There is limited evidence that either behavioural support or smoking cessation medication increases the proportion of young people that stop smoking in the long-term. Findings are most promising for group-based behavioural interventions, but evidence remains limited for all intervention types. There continues to be a need for well-designed, adequately powered, randomized controlled trials of interventions for this population of smokers.

A novel text message-based motivational interviewing intervention for college students who smoke cigarettes

INTRODUCTION

Tobacco use disorder is critical among people aged 16 to 25 years. College campuses are prime locations for smoking cessation interventions for young adults. The vast majority of the smoking research with college students has been epidemiological in nature. This study examined a novel motivational interviewing intervention designed for college students, and explored predictors of smoking behavior change.

METHODS

A quasi-experimental one group pretest-posttest design with repeated measures was used to evaluate a novel text message-based brief motivational interviewing intervention. The data were collected from undergraduate students (N=33) who smoked cigarettes in Fall 2015.

RESULTS

Students’ level of autonomy and relatedness needs satisfaction, autonomous motivation, and smoking cessation self-efficacy increased (p < 0.05), and their rate of daily smoking declined (p <0 .05) over time. However, competence need satisfaction, readiness to quit smoking and severity of nicotine addiction remained unchanged. Smoking cessation self-efficacy was the strongest predictor of smoking behavior change in college students.

CONCLUSIONS

This study adds to the knowledge on smoking behavior among college students. Preliminary evidence indicates that text message-based motivational interviewing and smoking cessation self-efficacy may help guide successful smoking behavior interventions for college students.

Using Mobile Health (mHealth) Technology in the Management of Diabetes Mellitus, Physical Inactivity, and Smoking

PURPOSE OF REVIEW

Cardiovascular mortality remains high due to insufficient progress made in managing cardiovascular risk factors such as diabetes mellitus, physical inactivity, and smoking. Healthy lifestyle choices play an important role in the management of these modifiable risk factors. Mobile health or mHealth is defined as the use of mobile computing and communication technologies (i.e., mobile phones, wearable sensors) for the delivery of health services and health-related information. In this review, we examine some recent studies that utilized mHealth tools to improve management of these risk factors, with examples from developing countries where available.

RECENT FINDINGS

The mHealth intervention used depends on the availability of resources. While developing countries are often restricted to text messages, more resourceful settings are shifting towards mobile phone applications and wearable technology. Diabetes mellitus has been extensively studied in different settings, and results have been encouraging. Tools utilized to increase physical activity are expensive, and studies have been limited to resource-abundant areas and have shown mixed results. Smoking cessation has had promising initial results with the use of technology, but mHealth's ability to recruit participants beyond those actively seeking to quit has not been established. mHealth interventions appear to be a potential tool in improving control of cardiovascular risk factors that rely on individuals making healthy lifestyle choices. Data related to clinical impact, if any, of commercially available tools is lacking. More studies are needed to assess interventions that target multiple cardiovascular risk factors and their impact on hard cardiovascular outcomes.

The Use of Mobile Apps and SMS Messaging as Physical and Mental Health Interventions: Systematic Review

BACKGROUND

The initial introduction of the World Wide Web in 1990 brought around the biggest change in information acquisition. Due to the abundance of devices and ease of access they subsequently allow, the utility of mobile health (mHealth) has never been more endemic. A substantial amount of interactive and psychoeducational apps are readily available to download concerning a wide range of health issues. mHealth has the potential to reduce waiting times for appointments; eradicate the need to meet in person with a clinician, successively diminishing the workload of mental health professionals; be more cost effective to practices; and encourage self-care tactics. Previous research has given valid evidence with empirical studies proving the effectiveness of physical and mental health interventions using mobile apps. Alongside apps, there is evidence to show that receiving short message service (SMS) messages, which entail psychoeducation, medication reminders, and links to useful informative Web pages can also be advantageous to a patient's mental and physical well-being. Available mHealth apps and SMS services and their ever improving quality necessitates a systematic review in the area in reference to reduction of symptomology, adherence to intervention, and usability.

OBJECTIVE

The aim of this review was to study the efficacy, usability, and feasibility of mobile apps and SMS messages as mHealth interventions for self-guided care.

METHODS

A systematic literature search was carried out in JMIR, PubMed, PsychINFO, PsychARTICLES, Google Scholar, MEDLINE, and SAGE. The search spanned from January 2008 to January 2017. The primary outcome measures consisted of weight management, (pregnancy) smoking cessation, medication adherence, depression, anxiety and stress. Where possible, adherence, feasibility, and usability outcomes of the apps or SMS services were evaluated. Between-group and within-group effect sizes (Cohen d) for the mHealth intervention method group were determined.

RESULTS

A total of 27 studies, inclusive of 4658 participants were reviewed. The papers included randomized controlled trials (RCTs) (n=19), within-group studies (n=7), and 1 within-group study with qualitative aspect. Studies show improvement in physical health and significant reductions of anxiety, stress, and depression. Within-group and between-group effect sizes ranged from 0.05-3.37 (immediately posttest), 0.05-3.25 (1-month follow-up), 0.08-3.08 (2-month follow-up), 0.00-3.10 (3-month follow-up), and 0.02-0.27 (6-month follow-up). Usability and feasibility of mHealth interventions, where reported, also gave promising, significant results.

CONCLUSIONS

The review shows the promising and emerging efficacy of using mobile apps and SMS text messaging as mHealth interventions.

Pilot RCT Results of an mHealth HIV Prevention Program for Sexual Minority Male Adolescents

BACKGROUND

Guy2Guy (G2G) is the first comprehensive HIV prevention program developed for sexual minority males as young as 14 years old and is delivered nationally via text messaging. Here, we report the results of the pilot randomized control trial.

METHODS

G2G was tested against an attention-matched "healthy lifestyle" control (eg, self-esteem). Both programs lasted 5 weeks and delivered 5 to 10 text messages daily. A 1-week booster was delivered 6 weeks subsequently. Participants were cisgender males ages 14 to 18 years old who were gay, bisexual, and/or queer and had an unlimited text messaging plan. Youth were recruited across the United States via Facebook and enrolled by telephone from October 2014 to April 2015. Ninety-day postintervention outcomes were condomless sex acts (CSA) and abstinence and, secondarily, HIV testing. We also examined these outcomes at intervention end and stratified them by sexual experience.

RESULTS

At 90 days postintervention, there were no significant differences in CSAs or abstinence noted. Among participants who were sexually active at baseline, intervention participants were significantly more likely to report getting an HIV test (adjusted odds ratio = 3.42, P = .001). They were also less likely than control youth to be abstinent (adjusted odds ratio = 0.48, P = .05). CSAs were significantly lower for those in the intervention versus control at intervention end (incident rate ratio = 0.39, P = .04), although significance was lost once age was added to the analysis (incident rate ratio = 0.58, P = .26).

CONCLUSIONS

G2G appears promising in increasing adolescent HIV testing rates. Sex-positive intervention messages appear to have increased the participants' comfort with having sex (ie, less abstinence) while not increasing their potential for HIV transmission (ie, more CSAs). Additional content or features may be needed to invigorate condom use.

A systematic review of eHealth behavioral interventions targeting smoking, nutrition, alcohol, physical activity and/or obesity for young adults

A systematic review of randomized control trials (RCT) was undertaken to evaluate the effectiveness of eHealth behavioral interventions aiming to improve smoking rates, nutrition behaviors, alcohol intake, physical activity levels and/or obesity (SNAPO) in young adults. Seven electronic databases were searched for RCTs published in English from 2000 to April 2015 and evaluating eHealth interventions aiming to change one or multiple SNAPO outcomes, and including young adult (18-35years) participants. Of 2,159 articles identified, 45 studies met the inclusion criteria. Most interventions targeted alcohol (n=26), followed by smoking (n=7), physical activity (n=4), obesity (n=4) and nutrition (n=1). Three interventions targeted multiple behaviors. The eHealth interventions were most often delivered via websites (79.5%). Most studies (n=32) compared eHealth interventions to a control group (e.g. waiting list control, minimal intervention), with the majority (n=23) showing a positive effect on a SNAPO outcome at follow-up. Meta-analysis demonstrated a significantly lower mean number of drinks consumed/week in brief web or computer-based interventions compared to controls (Mean Difference -2.43 [-3.54, -1.32], P<0.0001, n=10). Sixteen studies compared eHealth delivery modes, with inconsistent results across target behaviors and technology types. Nine studies compared eHealth to other modes of delivery (e.g. in person) with all finding no difference in SNAPO outcomes between groups at follow-up. This review provides some evidence for the efficacy of eHealth SNAPO interventions for young adults, particularly in the short-term and for alcohol interventions. But there is insufficient evidence for their efficacy in the longer-term, as well as which mode of delivery is most effective.

The effect of a smartphone-based coronary heart disease prevention (SBCHDP) programme on awareness and knowledge of CHD, stress, and cardiac-related lifestyle behaviours among the working population in Singapore: a pilot randomised controlled trial

Background

Coronary heart disease (CHD) is the most prevalent type of cardiac disease among adults worldwide, including those in Singapore. Most of its risk factors, such as smoking, physical inactivity and high blood pressure, are preventable. mHealth has improved in the last decade, showing promising results in chronic disease prevention and health promotion worldwide. Our aim was to develop and examine the effect of a 4-week Smartphone-Based Coronary Heart Disease Prevention (SBCHDP) programme in improving awareness and knowledge of CHD, perceived stress as well as cardiac-related lifestyle behaviours in the working population of Singapore.

Methods

The smartphone app “Care4Heart” was developed as the main component of the programme. App content was reviewed and validated by a panel of experts, including two cardiologists and two experienced cardiology-trained nurses. A pilot randomised controlled trial was conducted. Eighty working people were recruited and randomised to either the intervention group (n = 40) or the control group (n = 40). The intervention group underwent a 4-week SBCHDP programme, whereas the control group were offered health promotion websites only. The participants’ CHD knowledge, perceived stress and behavioural risk factors were measured at baseline and on the 4th week using the Heart Disease Fact Questionnaire-2, Perceived Stress Scale, and Behavioural Risk Factor Surveillance System.

Results

After the SBCHDP programme, participants in the intervention group had a better awareness of CHD being the second leading cause of death in Singapore (X²  = 6.486, p = 0.039), a better overall CHD knowledge level (t = 3.171, p = 0.002), and better behaviour concerning blood cholesterol control (X² = 4.54, p = 0.033) than participants in the control group.

Conclusion

This pilot study partially confirmed the positive effects of the SBCHDP programme in improving awareness and knowledge of CHD among the working population. Due to the small sample size and short follow-up period, this study was underpowered to detect significant differences between groups. A full-scale longitudinal study is required in the future to confirm the effectiveness of the SBCHDP programme.

Electronic supplementary material

The online version of this article (doi:10.1186/s12955-017-0623-y) contains supplementary material, which is available to authorized users.

Preventive Health Behavior Change Text Message Interventions: A Meta-analysis

CONTEXT

Existing evidence shows that text message interventions can produce short-term health behavior change. However, understanding is limited regarding intervention characteristics moderating this effect or the long-term effectiveness of text message interventions on behavior change after contact stops.

EVIDENCE ACQUISITION

MEDLINE, PubMed Central, ERIC, PsycINFO, and Web of Science were searched for articles published between April 2008 and December 2014 that evaluated an intervention targeting preventive health behaviors, delivered primarily by text message.

EVIDENCE SYNTHESIS

Intervention development and design characteristics and research outcomes were evaluated for 51 studies. Thirty-five studies were included in a meta-analysis (conducted in 2015) examining overall effect size and moderators of effect size. The overall pooled effect of interventions was d=0.24 (95% CI=0.16, 0.32, p<0.001) using outcome data collected most proximal to intervention cessation. Seven studies collected data following a no-intervention maintenance period and showed a small but significant pooled maintenance effect (d=0.17, 95% CI=0.03, 0.31, p=0.017, k=7). Few variables significantly moderated intervention efficacy. Interventions that did not use a theoretic basis, used supplementary intervention components, and had a duration of 6-12 months were most effective. The specific behavior being targeted was not associated with differences in efficacy nor was tailoring, targeting, or personalization of text message content.

CONCLUSIONS

Text message interventions are capable of producing positive change in preventive health behaviors. Preliminary evidence indicates that these effects can be maintained after the intervention stops. The moderator analysis findings are at odds with previous research, suggesting a need to examine moderators at the behavior-specific level.

Text messaging between clinicians and patients - Hve we got thngs unda cntrl?

INTRODUCTION Patients are interested in receiving text messages (texts) related to their health care. However, anecdotes are emerging of associated problems and it is possible that many of the potential pitfalls are not recognised. AIM To assess clinicians' attitudes and behaviours towards text messaging (texting) with patients. METHODS A voluntary, anonymous, online survey was created and distributed to general practitioners and physiotherapists in New Zealand and to Sports Medicine Fellows and Sports Medicine Registrars in New Zealand and Australia. RESULTS In total, 322 clinicians completed the survey. Texting behaviours relating to accuracy, privacy and security were identified. A range of sensitive and important medical information was frequently conveyed and at times forwarded to third parties. The clinicians generally felt uneasy communicating this way and some felt pressured into it. Most thought that guidelines are insufficient and that they had not received sufficient education on the issues. Most were interested in further education. CONCLUSION This study has demonstrated frequent texting between clinicians and patients. It has highlighted potential risks to the privacy, accuracy and security of medical information. Current guidelines and education may be insufficient. Clinicians were interested in receiving readily available best practice guidelines and education regarding texting.

User satisfaction with the structure and content of the NEXit intervention, a text messaging-based smoking cessation programme

BACKGROUND

Smoking is still the leading cause of preventable ill health and death. There is a limited amount of evidence for effective smoking cessation interventions among young people. To address this, a text messaging-based smoking cessation programme, the NEXit intervention, was developed. Short-term effectiveness, measured immediately after the 12-week intervention revealed that 26% of smokers in the intervention group had prolonged abstinence compared with 15% in the control group. The present study was performed to explore the users' experiences of the structure and content of the intervention in order to further develop the intervention.

METHODS

Students participating in the main NEXit randomized controlled trial were invited to grade their experiences of the structure and content of the intervention after having completed follow-up. The participants received an e-mail with an electronic link to a short questionnaire. Descriptive analysis of the distribution of the responses to the questionnaire was performed. Free-text comments to 14 questions were analysed.

RESULTS

The response rate for the user feedback questionnaire was 35% (n = 289/827) and 428 free-text comments were collected. The first motivational phase of the intervention was appreciated by 55% (158/289) of the participants. Most participants wanted to quit smoking immediately and only 124/289 (43%) agreed to have to decide a quit-date in the future. Most participants 199/289 (69%) found the content of the messages in the core programme to be very good or good, and the variability between content types was appreciated by 78% (224/289). Only 34% (97/289) of the participants thought that all or nearly all messages were valuable, and some mentioned that it was not really the content that mattered, but that the messages served as a reminder about the decision to quit smoking.

CONCLUSIONS

The programme was largely perceived satisfactory in most aspects concerning structure and content by young people and most participants stated that they would recommend it to a friend who wants to quit smoking. The motivational phase might be worth shortening and the number of messages around the quit date itself reduced. Shorter messages seemed to be more acceptable.

TRIAL REGISTRATION

ISRCTN75766527 .

Engagement and abstinence among users of a smoking cessation text message program for veterans

BACKGROUND

SmokefreeVET is a text messaging smoking cessation program available to veterans enrolled in the Veterans Health Administration. SmokefreeVET was developed in collaboration with the National Cancer Institute as part of the SmokefreeTXT initiative.

PURPOSE

To evaluate the real world use of and effectiveness of the SmokefreeVET program for SmokefreeVET users who enrolled between 2013 and 2014.

METHODS

Demographics and smoking behavior of 1470 SmokefreeVET users who enrolled between 2013 and 2014 were analyzed. Latent growth mixture modeling was used to identify discrete classes of SmokefreeVET users based on engagement patterns. Multi-level modeling determined class differences in abstinence.

RESULTS

The average age of the SmokefreeVET user was 48, 75% of users were male, and 84% were daily smokers. After five weeks, 13% of all users reported abstinence from smoking. Five statistically distinct engagement classes of SmokefreeVET users were identified. Highly engaged classes were significantly less likely to opt-out and more likely to report abstinence. Over 60% of users who were classified as high engagers throughout the program reported abstinence 5weeks after their quit date. Users were more likely to report abstinence after two weeks if they used smoking cessation medication than those that did not use medication (OR=9.01, p<0.001).

CONCLUSIONS

SmokefreeVET may be effective at supporting abstinence among a real world group of highly engaged users. Smoking cessation medication use was also associated with abstinence in SmokefreeVET users. Engagement appears to be a critical component when assessing the efficacy of a text messaging smoking cessation intervention.

Does Short Message Service Increase Adherence to Smoking Cessation Clinic Appointments and Quitting Smoking?

BACKGROUND

Using innovative and scientific methods increases the rate of quitting in smokers. Short message service (SMS) is a communication tool widely used and well integrated in many people's daily lives. To increase adherence to appointments in smoking cessation clinics (SCC), it is thought that increased compliance could be achieved by falling outside the traditional methods. SMS has been shown to increase the compliance of patients with SCC appointments.

AIMS

In this study, we aimed to evaluate the effect of SMS in the compliance of patients with SCC follow-up visits and smoking cessation success.

STUDY DESIGN

Case-control study.

METHODS

Our study was a controlled, open, prospective study. We enrolled 436 cases applied to SCC of Yedikule Training and Research Hospital between 01.10.2013-30.06.2014 and agreed to follow-up with SMS. SMS was sent to the patients to remind them of appointments at the SCC and to query their smoking state.

RESULTS

Two hundred-and-eighty seven (65.8%) of the patients were male and 149 (34.2%) were female. The mean age was 45±12 years. In this study, 296 (67.9%) patients had graduated from primary school. Our patients' smoking state was queried by telephone at the 6-month follow-up and we contacted 348 patients. According to this, 88 (25.3%) patients were not smoking, and 260 (74.7%) patients were smokers. Therefore, the smoking cessation rate was 24% (n=60) in patients who did not respond to SMS reminders at all, and 28.6% (n=28) in patients answering any SMS at least once (p=0.377). Smoking cessation rate of the patients invited by SMS but who did not attend any control visits was 19.1%, and it was 34.5% in patients coming to a control visit at least once. This difference was statistically significant (p=0.001).

CONCLUSION

In our study, there was increased success of smoking cessation in patients coming to control visits. We think that this may result from the possibly increased compliance to SCC appointments following reminders by SMS, and that this may also increase smoking cessation success.

Folate/folic acid knowledge, intake, and self-efficacy of college-aged women: impact of text messaging and availability of a folic acid-containing supplement

OBJECTIVE

To evaluate the impact of educational text messages (TMs) on folate/folic acid knowledge and consumption among college-aged women, and to evaluate the impact of providing folic acid supplements on folate/folic acid intake among college-aged women.

PARTICIPANTS

A total of 162 women (18-24 years) recruited from a university.

METHODS

The protocol included 3 study visits and a 6-week intervention for 4 groups: control; TM only; supplement only; and TM+supplement. Supplement groups received folic acid-containing supplements. TM groups received 18 folate-related TMs. Participants completed knowledge quizzes, supplement intake questions, a self-efficacy scale, and dietary recalls.

RESULTS

Despite receiving the same folic acid education, intake of folic acid and total folate was greater in the supplement groups compared with the non-supplement groups at mid- and post-study. TMs had no impact on any study measure.

CONCLUSION

Provision of a folic acid-containing supplement enhanced short-term folic acid intake, supporting the provision of supplements to this population group.

Participant-level meta-analysis of mobile phone-based interventions for smoking cessation across different countries

With meta-analysis, participant-level data from five text messaging-based smoking cessation intervention studies were pooled to investigate cessation patterns across studies and participants. Individual participant data (N=8315) collected in New Zealand (2001-2003; n=1705), U.K. (2008-2009; n=5792), U.S. (2012; n=503; n=164) and Turkey (2012; n=151) were collectively analyzed in 2014. The primary outcome was self-reported 7-day continuous abstinence at 4weeks post-quit day. Secondary outcomes were: (1) self-reported 7-day continuous abstinence at 3months and (2) self-reported continuous abstinence at 6months post-quit day. Generalized linear mixed models were fit to estimate the overall treatment effect, while accounting for clustering within individual studies. Estimates were adjusted for age, sex, socioeconomic status, previous quit attempts, and baseline Fagerstrom score. Analyses were intention to treat. Participants lost to follow-up were treated as smokers. Twenty-nine percent of intervention participants and 12% of control participants quit smoking at 4weeks (adjusted odds ratio [aOR]=2.89, 95% CI [2.57, 3.26], p<.0001). An attenuated but significant effect for cessation for those in the intervention versus control groups was observed at 3months (aOR=1.88, 95% CI [1.53, 2.31]) and 6months (aOR=2.24, 95% CI [1.90, 2.64]). Subgroup analyses were conducted but few significant findings were noted. Text messaging-based smoking cessation programs increase self-reported quitting rates across a diversity of countries and cultures. Efforts to expand these low-cost and scalable programs, along with ongoing evaluation, appear warranted.

Ethical Considerations in Recruiting Online and Implementing a Text Messaging-Based HIV Prevention Program With Gay, Bisexual, and Queer Adolescent Males

PURPOSE

There is a dearth of HIV prevention/healthy sexuality programs developed for adolescent gay and bisexual males (AGBM) as young as 14 years old, in part because of the myriad ethical concerns. To address this gap, we present our ethics-related experiences implementing Guy2Guy, a text messaging-based HIV prevention/healthy sexuality program, in a randomized controlled trial of 302 14- to 18-year-old sexual minority males.

METHODS

Potential risks and efforts to reduce these risks are discussed within the framework of the Belmont Report: Respect for persons, beneficence (e.g., risks and benefits), and justice (e.g., fair distribution of benefits and burdens).

RESULTS

To ensure "respect for persons," online enrollment was coupled with telephone assent, which included assessing decisional capacity to assent. Beneficence was promoted by obtaining a waiver of parental permission and using a self-safety assessment to help youth evaluate their risk in taking part. Justice was supported through efforts to develop and test the program among those who would be most likely to use it if it were publicly available (e.g., youth who own a cell phone and are enrolled in an unlimited text messaging plan), along with the use of recruitment targets to ensure a racially, ethnically, and regionally diverse sample.

CONCLUSIONS

It is possible to safely implement a sensitive and HIV prevention/healthy sexuality program with sexual minority youth as young as 14 years old when a rigorous ethical protocol is in place.

The SmokefreeTXT (SFTXT) Study: Web and Mobile Data Collection to Evaluate Smoking Cessation for Young Adults

Background

Text messaging (short message service, SMS) has been shown to be effective in delivering interventions for various diseases and health conditions, including smoking cessation. While there are many published studies regarding smoking cessation text messaging interventions, most do not provide details about the study’s operational methods. As a result, there is a gap in our understanding of how best to design studies of smoking cessation text messaging programs.

Objective

The purpose of this paper is to detail the operational methods used to conduct a randomized trial comparing three different versions of the National Cancer Institute’s SmokefreeText (SFTXT) program, designed for smokers 18 to 29 years of age. We detail our methods for recruiting participants from the Internet, reducing fraud, conducting online data collection, and retaining panel study participants.

Methods

Participants were recruited through website advertisements and market research online panels. Screening questions established eligibility for the study (eg, 18 to 29 years of age, current smoker). Antifraud measures screened out participants who could not meet the study requirements. After completing a baseline survey, participants were randomized to one of three study arms, which varied by type and timing of text message delivery. The study offered US $20 gift cards as incentives to complete each of four follow-up surveys. Automated email reminders were sent at designated intervals to increase response rates. Researchers also provided telephone reminders to those who had not completed the survey after multiple email reminders. We calculated participation rates across study arms and compared the final sample characteristics to the Current Population Survey to examine generalizability.

Results

Recruitment methods drove 153,936 unique visitors to the SFTXT Study landing page and 27,360 began the screener. Based on the screening questions, 15,462 out of 27,360 responders (56.51%) were eligible to participate. Of the 15,462 who were eligible, 9486 passed the antifraud measures that were implemented; however, 3882 failed to verify their email addresses or cell phone numbers, leaving 5604 who were invited to complete the baseline survey. Of the 5604 who were invited, 4432 completed the baseline survey, but only 4027 were retained for analysis because 405 did not receive the intervention.

Conclusions

Although antifraud measures helped to catch participants who failed study requirements and could have biased the data collected, it is possible that the email and cell phone verification check excluded some potentially eligible participants from the study. Future research should explore ways to implement verification methods without risking the loss of so many potential participants.

ClinicalTrial

Clinical Trials.gov NCT01885052; https://clinicaltrials.gov/ct2/show/NCT01885052; (Archived by WebCite at http://www.webcitation.org/6iWzcmFdw)

A Cognitive Behavioral Therapy-Based Text Messaging Intervention Versus Medical Management for HIV-Infected Substance Users: Study Protocol for a Pilot Randomized Trial

Background

Evidence-based psychosocial interventions for addictions and related conditions such as cognitive behavioral therapy (CBT) are underutilized. Obstacles to implementation of CBT in clinical settings include limited availability of quality training, supervision, and certification in CBT for clinicians; high rates of clinician turnover and high caseloads; and limited qualifications of the workforce to facilitate CBT expertise.

Objective

Mobile phone–based delivery of CBT, if demonstrated to be feasible and effective, could be transformative in broadening its application and improving the quality of addiction treatment. No experimental interventions that deliver CBT targeting both drug use and medication adherence using text messaging have been previously reported; as such, the objective of this study is to develop and test an SMS-based treatment program for HIV-positive adults with comorbid substance use disorders.

Methods

With user input, we developed a 12-week CBT-based text messaging intervention (TXT-CBT) targeting antiretroviral (ART) adherence, risk behaviors, and drug use in a population of HIV-infected substance users.

Results

The intervention has been developed and is presently being tested in a pilot randomized clinical trial. Results will be reported later this year.

Conclusions

This investigation will yield valuable knowledge about the utility of a cost-effective, readily deployable text messaging behavioral intervention for HIV-infected drug users.

Stepwise Development a Text Messaging-Based Bullying Prevention Program for Middle School Students (BullyDown)

Background

Bullying is a significant public health issue among middle school-aged youth. Current prevention programs have only a moderate impact. Cell phone text messaging technology (mHealth) can potentially overcome existing challenges, particularly those that are structural (e.g., limited time that teachers can devote to non-educational topics). To date, the description of the development of empirically-based mHealth-delivered bullying prevention programs are lacking in the literature.

Objective

To describe the development of BullyDown, a text messaging-based bullying prevention program for middle school students, guided by the Social-Emotional Learning model.

Methods

We implemented five activities over a 12-month period: (1) national focus groups (n=37 youth) to gather acceptability of program components; (2) development of content; (3) a national Content Advisory Team (n=9 youth) to confirm content tone; and (4) an internal team test of software functionality followed by a beta test (n=22 youth) to confirm the enrollment protocol and the feasibility and acceptability of the program.

Results

Recruitment experiences suggested that Facebook advertising was less efficient than using a recruitment firm to recruit youth nationally, and recruiting within schools for the pilot test was feasible. Feedback from the Content Advisory Team suggests a preference for 2-4 brief text messages per day. Beta test findings suggest that BullyDown is both feasible and acceptable: 100% of youth completed the follow-up survey, 86% of whom liked the program.

Conclusions

Text messaging appears to be a feasible and acceptable delivery method for bullying prevention programming delivered to middle school students.

Text Messaging-Based Interventions for Smoking Cessation: A Systematic Review and Meta-Analysis

BACKGROUND

Tobacco use is one of the leading preventable global health problems producing nearly 6 million smoking-related deaths per year. Interventions delivered via text messaging (short message service, SMS) may increase access to educational and support services that promote smoking cessation across diverse populations.

OBJECTIVE

The purpose of this meta-analysis is to (1) evaluate the efficacy of text messaging interventions on smoking outcomes, (2) determine the robustness of the evidence, and (3) identify moderators of intervention efficacy.

METHODS

Electronic bibliographic databases were searched for records with relevant key terms. Studies were included if they used a randomized controlled trial (RCT) to examine a text messaging intervention focusing on smoking cessation. Raters coded sample and design characteristics, and intervention content. Summary effect sizes, using random-effects models, were calculated and potential moderators were examined.

RESULTS

The meta-analysis included 20 manuscripts with 22 interventions (N=15,593; 8128 (54%) women; mean age=29) from 10 countries. Smokers who received a text messaging intervention were more likely to abstain from smoking relative to controls across a number of measures of smoking abstinence including 7-day point prevalence (odds ratio (OR)=1.38, 95% confidence interval (CI)=1.22, 1.55, k=16) and continuous abstinence (OR=1.63, 95% CI=1.19, 2.24, k=7). Text messaging interventions were also more successful in reducing cigarette consumption relative to controls (d+=0.14, 95% CI=0.05, 0.23, k=9). The effect size estimates were biased when participants who were lost to follow-up were excluded from the analyses. Cumulative meta-analysis using the 18 studies (k=19) measuring abstinence revealed that the benefits of using text message interventions were established only after only five RCTs (k=5) involving 8383 smokers (OR=1.39, 95% CI=1.15, 1.67, P<.001). The inclusion of the subsequent 13 RCTs (k=14) with 6870 smokers did not change the established efficacy of text message interventions for smoking abstinence (OR=1.37, 95% CI=1.25, 1.51, P<.001). Smoking abstinence rates were stronger when text messaging interventions (1) were conducted in Asia, North America, or Europe, (2) sampled fewer women, and (3) recruited participants via the Internet.

CONCLUSIONS

The evidence for the efficacy of text messaging interventions to reduce smoking behavior is well-established. Using text messaging to support quitting behavior, and ultimately long-term smoking abstinence, should be a public health priority.

Mobile phone-based interventions for smoking cessation

BACKGROUND

Access to mobile phones continues to increase exponentially globally, outstripping access to fixed telephone lines, fixed computers and the Internet. Mobile phones are an appropriate and effective option for the delivery of smoking cessation support in some contexts. This review updates the evidence on the effectiveness of mobile phone-based smoking cessation interventions.

OBJECTIVES

To determine whether mobile phone-based smoking cessation interventions increase smoking cessation in people who smoke and want to quit.

SEARCH METHODS

For the most recent update, we searched the Cochrane Tobacco Addiction Group Specialised Register in April 2015. We also searched the UK Clinical Research Network Portfolio for current projects in the UK, and the ClinicalTrials.gov register for ongoing or recently completed studies. We searched through the reference lists of identified studies and attempted to contact the authors of ongoing studies. We applied no restrictions on language or publication date.

SELECTION CRITERIA

We included randomised or quasi-randomised trials. Participants were smokers of any age who wanted to quit. Studies were those examining any type of mobile phone-based intervention for smoking cessation. This included any intervention aimed at mobile phone users, based around delivery via mobile phone, and using any functions or applications that can be used or sent via a mobile phone.

DATA COLLECTION AND ANALYSIS

Review authors extracted information on risk of bias and methodological details using a standardised form. We considered participants who dropped out of the trials or were lost to follow-up to be smoking. We calculated risk ratios (RR) and 95% confidence intervals (CI) for each included study. Meta-analysis of the included studies used the Mantel-Haenszel fixed-effect method. Where meta-analysis was not possible, we presented a narrative summary and descriptive statistics.

MAIN RESULTS

This updated search identified 12 studies with six-month smoking cessation outcomes, including seven studies completed since the previous review. The interventions were predominantly text messaging-based, although several paired text messaging with in-person visits or initial assessments. Two studies gave pre-paid mobile phones to low-income human immunodeficiency virus (HIV)-positive populations - one solely for phone counselling, the other also included text messaging. One study used text messages to link to video messages. Control programmes varied widely. Studies were pooled according to outcomes - some providing measures of continuous abstinence or repeated measures of point prevalence; others only providing 7-day point prevalence abstinence. All 12 studies pooled using their most rigorous 26-week measures of abstinence provided an RR of 1.67 (95% CI 1.46 to 1.90; I(2) = 59%). Six studies verified quitting biochemically at six months (RR 1.83; 95% CI 1.54 to 2.19).

AUTHORS' CONCLUSIONS

The current evidence supports a beneficial impact of mobile phone-based smoking cessation interventions on six-month cessation outcomes. While all studies were good quality, the fact that those studies with biochemical verification of quitting status demonstrated an even higher chance of quitting further supports the positive findings. However, it should be noted that most included studies were of text message interventions in high-income countries with good tobacco control policies. Therefore, caution should be taken in generalising these results outside of this type of intervention and context.

Effectiveness of Short Message Service Text-Based Smoking Cessation Intervention Among University Students: A Randomized Clinical Trial

IMPORTANCE

Smoking is globally the most important preventable cause of ill health and death. Mobile telephone interventions and, in particular, short message service (SMS) text messaging, have the potential to overcome access barriers to traditional health services, not least among young people.

OBJECTIVE

To determine the effectiveness of a text-based smoking cessation intervention among young people.

DESIGN, SETTING, AND PARTICIPANTS

A single-blind, 2-arm, randomized clinical trial (Nicotine Exit [NEXit]) was conducted from October 23, 2014, to April 17, 2015; data analysis was performed from April 23, 2014, to May 22, 2015. Participants included daily or weekly smokers willing to set a quit date within 1 month of enrollment. The study used email to invite all college and university students throughout Sweden to participate.

INTERVENTIONS

The NEXit core program is initiated with a 1- to 4-week motivational phase during which participants can choose to set a stop date. The intervention group then received 157 text messages based on components of effective smoking cessation interventions for 12 weeks. The control group received 1 text every 2 weeks thanking them for participating in the study, with delayed access to the intervention.

MAIN OUTCOMES AND MEASURES

The primary outcomes were self-reported prolonged abstinence (not having smoked >5 cigarettes over the past 8 weeks) and 4-week point prevalence of complete smoking cessation shortly after the completion of the intervention (approximately 4 months after the quit date).

RESULTS

A total of 1590 participants, mainly between 21 and 30 years of age, were randomized into the study; 827 (573 [69.3%] women) were allocated to the intervention group and 763 (522 [68.4%] women) were included in the control group. Primary outcome data were available for 783 (94.7%) of the intervention group and 719 (94.2%) of the control group. At baseline, participants were smoking a median (range) of 63 (1-238) and 70 (2-280) cigarettes per week, respectively. Eight-week prolonged abstinence was reported by 203 participants (25.9%) in the intervention group and 105 (14.6%) in the control group; 4-week point prevalence of complete cessation was reported by 161 (20.6%) and 102 (14.2%) participants, respectively, a mean (SD) of 3.9 (0.37) months after the quit date. The adjusted odds ratios (95% CIs) for these findings were 2.05 (1.57-2.67) and 1.56 (1.19-2.05), respectively.

CONCLUSIONS AND RELEVANCE

With the limitation of assessing only the short-term effect of the intervention, the effects observed in this trial are comparable with those for traditional smoking cessation interventions. The simple NEXit intervention has the potential to improve the uptake of effective smoking cessation interventions.

TRIAL REGISTRATION

isrctn.org Identifier: ISRCTN75766527.

Text messaging interventions for adolescent and young adult substance use: a meta-analysis

Tobacco and alcohol use continues to be associated with negative health outcomes among adolescents and young adults. New technologies such as text messaging can increase access to substance use interventions and have now been established as an evidence-based, recommended approach towards substance use prevention. This review presents results from a meta-analysis examining the effectiveness of text message interventions for tobacco and alcohol cessation within adolescent and young adult populations. Results from 14 studies with effect sizes are ranging from -0.25 to 0.54. Combining the effect sizes across studies yielded a summary effect size of 0.25, indicating that in general, text interventions have a positive effect on reducing substance use behaviors. Results are discussed in the context of prevention opportunities and recommendations for future text messaging intervention research.