Rationale, design and pilot feasibility results of a smartphone-assisted, mindfulness-based intervention for smokers with mood disorders: Project mSMART MIND

Minami, Haruka; Brinkman, Hannah R.; Nahvi, Shadi; Arnsten, Julia H.; Mindt, Monica Rivera; Wetter, David W.; Bloom, Erika Litvin; Price, Lawrence H.; Vieira, Carlos Alexandre; Donnelly, Remington; McClain, Lauren; Kennedy, Katherine A.; D’Aquila, Erica; Fine, Micki; McCarthy, Danielle E.; Thomas, J. Graham; Hecht, Jacki; Brown, Richard A.

doi:10.1016/j.cct.2017.12.014

Cited by 22 publications

(27 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, this study is consistent with previous smoking cessation app research in different types of SMI populations. For example, Minami et al 49 developed SMI-CM, a smoking cessation app for patients with mood disorders and tested its feasibility in a small sample. SMI-CM used a mindfulness and acceptance approach combined with contingency management to reinforce CO verified abstinence twice a day.…”

Section: Discussionmentioning

confidence: 99%

Pilot Randomized Controlled Trial of a Novel Smoking Cessation App Designed for Individuals With Co-Occurring Tobacco Use Disorder and Serious Mental Illness

Vilardaga

Rizo

Palenski

et al. 2019

Nicotine &Amp; Tobacco Research

View full text Add to dashboard Cite

Introduction High rates of tobacco use among people with serious mental illness (SMI), along with their unique needs, suggest the importance of developing tailored smoking cessation interventions for this group. Previous early-phase work empirically validated the design and content of Learn to Quit, a theory-based app designed for this population. Methods In a pilot randomized controlled trial we compared the feasibility, acceptability and preliminary efficacy of Learn to Quit versus QuitGuide, an app designed for the general population. All participants received nicotine replacement therapy and technical assistance. Daily smokers with SMI (N=62) participated in the trial with outcomes assessed at weeks 4, 8, 12, and 16. Results Compared to QuitGuide, Learn to Quit participants had similar number of days of app use (34 vs 32, p=0.754), but larger number of app interactions (847 vs. 205; p<0.001), longer durations of app use (4.24 hrs. vs. 2.14 hrs; p<0.044), and higher usability scores (85 vs 79, p=0.046). At week 16, Learn to Quit led to greater reductions in cigarettes per day (12.3 vs 5.9 for QuitGuide; p<0.01). Thirty-day point prevalence abstinence was verified in 12% of LTQ participants vs. 3% of QuitGuide participants (OR=3.86, CI: 0.41-36, p=0.239). Changes in psychiatric symptoms and adverse events were not clinically significant between conditions. Conclusions This pilot trial provides strong evidence of Learn to Quit’s usability, feasibility, and safety. Preliminary evidence suggests the app may be efficacious. A randomized controlled efficacy trial is needed to test the app in a larger sample of smokers with SMI. Implications This study suggests that the Learn to Quit app is a feasible approach to deliver smoking cessation treatment in patients with co-occurring tobacco use disorder and serious mental illness. This means that, if found efficacious, this technology could be used to deploy smoking cessation treatment to larger segments of this population, hence improving public health. Therefore, a randomized controlled trial should be conducted to examine the efficacy of this digital intervention.

show abstract

Section: Discussionmentioning

confidence: 99%

Pilot Randomized Controlled Trial of a Novel Smoking Cessation App Designed for Individuals With Co-Occurring Tobacco Use Disorder and Serious Mental Illness

Vilardaga

Rizo

Palenski

et al. 2019

Nicotine &Amp; Tobacco Research

View full text Add to dashboard Cite

show abstract

“…These dimensions are also included in this review. Regarding the intervention integrity, thirteen studies scored in the 80–100% category [ 34 , 35 , 36 , 39 , 41 , 43 , 45 , 46 , 49 , 50 , 51 , 52 , 53 ], four in the 60–79% [ 40 , 44 , 48 , 54 ], two in the less than 60% [ 42 , 47 ], and five did not provide this information [ 32 , 33 , 37 , 38 , 55 ]. Concerning the analysis component, the unit of analysis and allocation were individuals except for Raiff et al [ 48 ], where it was pairs of smokers.…”

Section: Resultsmentioning

confidence: 99%

“…The remaining studies did not analyze point-assessment differences. Finally, two studies reported reductions in CPD [ 52 , 53 ].…”

Section: Resultsmentioning

confidence: 99%

Smoking Cessation Apps: A Systematic Review of Format, Outcomes, and Features

Barroso-Hurtado

Suárez-Castro

Martínez-Vispo

et al. 2021

IJERPH

View full text Add to dashboard Cite

Smoking cessation interventions are effective, but they are not easily accessible for all treatment-seeking smokers. Mobile health (mHealth) apps have been used in recent years to overcome some of these limitations. Smoking cessation apps can be used in combination with a face-to-face intervention (FFSC-Apps), or alone as general apps (GSC-Apps). The aims of this review were (1) to examine the effects of FFSC-Apps and GSC-Apps on abstinence, tobacco use, and relapse rates; and (2) to describe their features. A systematic review was conducted following the internationally Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Of the total 6016 studies screened, 24 were included, of which nine used GSC-Apps and 15 FFSC-Apps. Eight studies reported significant differences between conditions in smoking cessation outcomes, with three of them being in favor of the use of apps, and two between different point-assessments. Concerning Apps features, most GSC-Apps included self-tracking and setting a quit plan, whereas most of the FFSC-Apps included self-tracking and carbon monoxide (CO) measures. Smartphone apps for smoking cessation could be promising tools. However, more research with an adequate methodological quality is needed to determine its effect. Nevertheless, smartphone apps’ high availability and attractiveness represent a great opportunity to reach large populations.

show abstract

“…Mobile phone-based smoking cessation interventions have proven to be a cost-effective tool for supporting smokers to quit smoking. Some studies also showed that mobile smoking cessation apps can create short-term impacts on helping smokers to quit smoking [8][9][10][11][12][13]. A recent study has shown that daily smokers using a behavioral, decision-aid smartphone app achieved 23.8% self-reported 3-month continuous abstinence [14].…”

Section: Mobile Smoking Cessationmentioning

confidence: 99%

A Mobile Social Network–Based Smoking Cessation Intervention for Chinese Male Smokers: Protocol for a Pilot Randomized Controlled Trial (Preprint)

Chen¹,

Ho²,

Jiang³

et al. 2020

Preprint

View full text Add to dashboard Cite

BACKGROUND Around 2 million Chinese people die annually from tobacco-related diseases, mostly men; yet fewer than 8% of Chinese smokers receive any smoking cessation advice or support. We develop a social network-based WeChat gamified smoking cessation intervention (“SCAMPI”) to help Chinese male smokers in China to quit smoking. OBJECTIVE The primary aim of this paper is to present the study protocol of a pilot randomised controlled trial (RCT) examining the preliminary effectiveness and acceptability of SCAMPI on the prolonged abstinence rate during a 6-week follow-up period. METHODS A two-arm pilot RCT will be conducted to assess the preliminary effectiveness and acceptability of the SCAMPI programme as a smoking cessation intervention. After initial Web-based screening, the first 80 eligible participants who complete registration will be randomly allocated to the intervention group (n=40) and the control group (n=40). Participants in the intervention group use the full version of the SCAMPI programme, and participants in the control group use a restricted version (“placebo app”). RESULTS Recruitment commenced in January 2019. The primary outcome is 30-day smoking abstinence at 6-week follow-up verified by salivary cotinine. Secondary outcomes include participants’ cigarette consumption reduction (comparing baseline daily cigarette consumption to end-of-trial daily cigarette consumption); 7-day smoking abstinence at 4-week and 6-week follow-up (self-reported); 30-day smoking abstinence at 6-week follow-up (self-reported); acceptability of the SCAMPI programme; and their satisfaction with using SCAMPI programme. CONCLUSIONS If the SCAMPI programme is shown to be effective and acceptable, we will conduct the main trial with a greater sample size and longer follow-up (6 months) to determine if it is an effective social network-based tool to support Chinese male smokers to quit smoking. The results of the pilot study will provide knowledge of how users interact with the programme in real-life context and inform the further development of the programme. CLINICALTRIAL This trial is registered with the ChiCTR registry (ChiCTR1800020434) and ANZCTR registry (12618001089224).

show abstract

Rationale, design and pilot feasibility results of a smartphone-assisted, mindfulness-based intervention for smokers with mood disorders: Project mSMART MIND

Abstract: The results from the feasibility study indicated high levels of acceptability and satisfaction with SMI-CM. The ongoing RCT will allow evaluation of the efficacy and mechanisms of action underlying SMI-CM for improving cessation rates among smokers with mood disorders.

Cited by 22 publications

References 50 publications

Pilot Randomized Controlled Trial of a Novel Smoking Cessation App Designed for Individuals With Co-Occurring Tobacco Use Disorder and Serious Mental Illness

Pilot Randomized Controlled Trial of a Novel Smoking Cessation App Designed for Individuals With Co-Occurring Tobacco Use Disorder and Serious Mental Illness

Smoking Cessation Apps: A Systematic Review of Format, Outcomes, and Features

A Mobile Social Network–Based Smoking Cessation Intervention for Chinese Male Smokers: Protocol for a Pilot Randomized Controlled Trial (Preprint)

Contact Info

Product

Resources

About