15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

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

      1 , 2 , 1 , 3 , 4 , 1
      Cochrane Tobacco Addiction Group
      Cochrane Database of Systematic Reviews
      Wiley

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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. To determine whether mobile phone‐based smoking cessation interventions increase smoking cessation rates in people who smoke. 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. 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. 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. 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; I 2 = 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; I 2 = 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; I 2 = 27%; 2 studies, 2238 participants; and RR 1.00, 95% CI 0.95 to 1.06; I 2 = 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; I 2 = 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. 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. Can programmes delivered by mobile phones help people to stop smoking? Background Tobacco smoking is a leading cause of preventable death. Mobile phones can be used to support people who want to quit smoking. In this review, we have focused on programmes that use text messages or smartphone apps to do so. Search date We searched for published and unpublished studies in October 2018. Study characteristics We included 26 randomised controlled studies (involving over 33,000 people) that compared smoking quit rates in people who received text messages or smartphone apps to help them quit, with people who did not receive these programmes. We were interested in studies that measured smoking for six months or longer. Key results We found that text messaging programmes may be effective in supporting people to quit, increasing quit rates by 50% to 60%. This was the case when they were compared to minimal support or were tested as an addition to other forms of stop‐smoking support. There was not enough evidence to determine the effect of smartphone apps. Quality and completeness of the evidence Most of the studies were of high quality, although three studies had high drop out rates. We are moderately confident in the results of the text messaging interventions, but there were some issues with unexplained differences between study findings and for some comparisons there was not much data. We have low confidence in the results concerning smartphone apps, and more studies are needed in this field.

          Related collections

          Most cited references85

          • Record: found
          • Abstract: found
          • Article: not found

          mHealth Technologies to Influence Physical Activity and Sedentary Behaviors: Behavior Change Techniques, Systematic Review and Meta-Analysis of Randomized Controlled Trials.

          mHealth programs offer potential for practical and cost-effective delivery of interventions capable of reaching many individuals.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A randomized trial of Text2Quit: a text messaging program for smoking cessation.

            Text messaging programs on mobile phones have shown some promise in helping people quit smoking. Text2Quit is an automated, personalized, interactive mobile health program that sends text messages to offer advice, support, and reminders about quitting smoking. To evaluate the effect of Text2Quit on biochemically confirmed repeated point prevalence abstinence in the context of an RCT conducted in the U.S. Participants (n=503) were recruited on the Internet and randomized to receive Text2Quit or self-help material. Between 2011 and 2013, participants were surveyed at baseline and at 1, 3, and 6 months post-enrollment to assess smoking status. Saliva was collected from participants who reported not smoking in the past 7 days at the 6-month follow-up. An intent to treat analysis was used, and those lost to follow-up were categorized as smokers. All analyses were completed in 2013. Biochemically confirmed repeated point prevalence abstinence favored the intervention group, with 11.1% abstinent compared to 5.0% of the control group (relative risk=2.22, 95% CI=1.16, 4.26, p<0.05). Similarly, self-reported repeated point prevalence abstinence was higher in the intervention group (19.9%) than in the control group (10.0%) (p<0.01). Effects were found to be uniform across the analyzed demographic subgroups, although suggestive of a larger effect for non-whites than whites. These results provide initial support for the relative efficacy of the Text2Quit program. Copyright © 2014 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Happy ending: a randomized controlled trial of a digital multi-media smoking cessation intervention.

              To assess the long-term efficacy of a fully automated digital multi-media smoking cessation intervention. Two-arm randomized control trial (RCT). Setting World Wide Web (WWW) study based in Norway. Subjects (n = 396) were recruited via internet advertisements and assigned randomly to conditions. Inclusion criteria were willingness to quit smoking and being aged 18 years or older. The treatment group received the internet- and cell-phone-based Happy Ending intervention. The intervention programme lasted 54 weeks and consisted of more than 400 contacts by e-mail, web-pages, interactive voice response (IVR) and short message service (SMS) technology. The control group received a self-help booklet. Additionally, both groups were offered free nicotine replacement therapy (NRT). Abstinence was defined as 'not even a puff of smoke, for the last 7 days', and assessed by means of internet surveys or telephone interviews. The main outcome was repeated point abstinence at 1, 3, 6 and 12 months following cessation. Participants in the treatment group reported clinically and statistically significantly higher repeated point abstinence rates than control participants [22.3% versus 13.1%; odds ratio (OR) = 1.91, 95% confidence interval (CI): 1.12-3.26, P = 0.02; intent-to-treat). Improved adherence to NRT and a higher level of post-cessation self-efficacy were observed in the treatment group compared with the control group. As the first RCT documenting the long-term treatment effects of such an intervention, this study adds to the promise of digital media in supporting behaviour change.
                Bookmark

                Author and article information

                Journal
                146518
                Cochrane Database of Systematic Reviews
                Wiley
                14651858
                October 22 2019
                Affiliations
                [1 ]University of Auckland; National Institute for Health Innovation; Tamaki Campus Private Bag 92019 Auckland New Zealand 1142
                [2 ]University of New South Wales; National Drug and Alcohol Research Centre; 22-32 King Street, Randwick Sydney Australia
                [3 ]The George Institute for Public Health; 321 Kent Street Sydney Australia NSW 2000
                [4 ]Stockton University; School of Health Sciences; Galloway New Jersey USA
                Article
                10.1002/14651858.CD006611.pub5
                6804292
                31638271
                60d6af8a-d669-447b-aa64-6abbd588d7ea
                © 2019
                History

                Comments

                Comment on this article