Abstract:Introduction
Although engagement is generally predictive of positive outcomes in technology-based behavioral change interventions, engagement measures remain largely atheoretical and lack treatment-specificity. This study examines the extent to which adherence measures based on the underlying behavioral change theory of an Acceptance and Commitment Therapy (ACT) app for smoking cessation predict smoking outcomes, and user characteristics associated with adherence.
Methods
Study sample was adult daily smokers… Show more
“…Two studies included were a post-hoc analysis of the single arm pilot randomised control trials 31,32 . Three studies did not have a control group 29,33,34 .…”
Section: Design Features Of the Studiesmentioning
confidence: 99%
“…Six studies adopted automated data extraction from the application. Four studies 30,31,33,34,36 included automated motivational messages while another included a specific daily educational module on smoking cessation . Most studies have adopted a quit plan, pictorial and audio-visual, cost saving, coping skills, and social support features in the application for smoking cessation.…”
Section: Mobile Applicationmentioning
confidence: 99%
“…The majority of the studies were conducted in the United States [29][30][31][32][33] . One unique intervention of mobile apps on the tablet was conducted among randomly selected hospital patients.…”
Section: Study Characteristics Participantsmentioning
INTRODUCTION Smartphone-based smoking cessation interventions are increasingly used around the world. However, the effects of smartphone applications on applicability and efficacy on cessation rate and prevention of relapses are not often evaluated. Therefore, this review aims to assess the evidence on effectiveness of smartphone applications as an intervention tool for smoking cessation support. METHODS We conducted the search using Ovid Medline/PubMed, CENTRAL and Scopus databases dated (January 2007-June 2016. Inclusion criteria include randomized control trials or intervention studies with mobile applications that offer smoking cessation support. Two assessors independently extracted and evaluated the data from each included study. RESULTS The review of eight selected studies illustrate the use of smartphone applications in increasing quit rates among smokers, however adherence to app features influences quit rates. Audiovisual features followed by a quit plan, tracking progress and sharing features are most accepted and utilised app features. However, inconsistency was observed in their association with abstinence or quit rate. App engagement features increase the statistical significance in the quit rate. Development of smartphone applications was supported by behavior change theories in all studies nevertheless; heterogeneous forms of intervention were adopted within studies. Similarly, reduction in relapse attributed to enhanced discussion among quitters using social media applications was observed. CONCLUSIONS Quality evidence is warranted with large sample size to measure effect size of the intervention. Future research on effectiveness and efficacy of smartphone alone and comparisons with other mHealth interventions, such as text messaging would be useful.
“…Two studies included were a post-hoc analysis of the single arm pilot randomised control trials 31,32 . Three studies did not have a control group 29,33,34 .…”
Section: Design Features Of the Studiesmentioning
confidence: 99%
“…Six studies adopted automated data extraction from the application. Four studies 30,31,33,34,36 included automated motivational messages while another included a specific daily educational module on smoking cessation . Most studies have adopted a quit plan, pictorial and audio-visual, cost saving, coping skills, and social support features in the application for smoking cessation.…”
Section: Mobile Applicationmentioning
confidence: 99%
“…The majority of the studies were conducted in the United States [29][30][31][32][33] . One unique intervention of mobile apps on the tablet was conducted among randomly selected hospital patients.…”
Section: Study Characteristics Participantsmentioning
INTRODUCTION Smartphone-based smoking cessation interventions are increasingly used around the world. However, the effects of smartphone applications on applicability and efficacy on cessation rate and prevention of relapses are not often evaluated. Therefore, this review aims to assess the evidence on effectiveness of smartphone applications as an intervention tool for smoking cessation support. METHODS We conducted the search using Ovid Medline/PubMed, CENTRAL and Scopus databases dated (January 2007-June 2016. Inclusion criteria include randomized control trials or intervention studies with mobile applications that offer smoking cessation support. Two assessors independently extracted and evaluated the data from each included study. RESULTS The review of eight selected studies illustrate the use of smartphone applications in increasing quit rates among smokers, however adherence to app features influences quit rates. Audiovisual features followed by a quit plan, tracking progress and sharing features are most accepted and utilised app features. However, inconsistency was observed in their association with abstinence or quit rate. App engagement features increase the statistical significance in the quit rate. Development of smartphone applications was supported by behavior change theories in all studies nevertheless; heterogeneous forms of intervention were adopted within studies. Similarly, reduction in relapse attributed to enhanced discussion among quitters using social media applications was observed. CONCLUSIONS Quality evidence is warranted with large sample size to measure effect size of the intervention. Future research on effectiveness and efficacy of smartphone alone and comparisons with other mHealth interventions, such as text messaging would be useful.
“…Studies have concluded that smartphone applications can be beneficial in monitoring and evaluating patients [23][24][25], as well as increasing adherence to medical interventions [26,27]. The BUS approach offers the ability to take these studies further in understanding real-time use and overall time spent on apps as a factor that could contribute to health outcomes.…”
“…Therefore, pilot studies have been utilized to evaluate a variety of mHealth technologies, including a pilot study to assess the usability and acceptability of a smartphone app ("MindSurf") designed to promote contentment, wellbeing, and goal achievement (Carey, Haviland, Tai, Vanags, & Mansell, 2016), adherence to a smartphone app for smoking cessation (Zeng, Heffner, Copeland, Mull, & Bricker, 2016), and using a smartphone app to promote psychiatric and physical well-being (Macias et al, 2015), among others. The overall rationale is that unlike the more established treatment protocols, delivered in more traditional settings, many mHealth-related technologies are often relatively new to the market and are by their very nature delivered in less traditional formats.…”
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