Efficacy of SMS Text Message Interventions for Smoking Cessation: A Meta-Analysis - PubMed (original) (raw)
Meta-Analysis
Efficacy of SMS Text Message Interventions for Smoking Cessation: A Meta-Analysis
Stephanie A Spohr et al. J Subst Abuse Treat. 2015 Sep.
Abstract
Background: Mobile technology provides new opportunities for health promotion communication. The purpose of this study was to conduct a current and extensive meta-analytic review of SMS (short message service) text message-based interventions for individual smoking cessation.
Methods: Academic Search Complete, PsycINFO, PubMed, and Scopus were reviewed for articles meeting selection criteria: 1) randomized controlled trials, 2) measured smoking cessation, and 3) intervention primarily delivered through SMS text messaging. Three and 6month follow-up of 7-day point prevalence or continuous abstinence was considered from studies meeting criteria. All analyses were conducted with intention-to-treat. Both fixed and random effects models were used to calculate the global outcome measure and confidence intervals.
Results: Thirteen studies were identified that met inclusion criteria. The studies were found to be homogeneous [Q12=12.47, p=0.14]. Odds ratios based on the random effects models suggested that interventions generally increased quit rates compared to controls, 1.36 [95% CI=1.23, 1.51]. Intervention efficacy was higher in studies with a 3month follow-up compared to 6month follow-up. Text plus programs (e.g., text messaging plus Web or in-person intervention modalities) performed only slightly better than text only programs. Pooled results also indicate message frequency schedule can affect quit rates, in which fixed schedules performed better than decreasing or variable schedules. The use of quit status assessment messages was not related to intervention efficacy.
Conclusion: Smoking quit rates for the text messaging intervention group were 36% higher compared to the control group quit rates. Results suggest that SMS text messaging may be a promising way to improve smoking cessation outcomes. This is significant given the relatively wide reach and low cost of text message interventions. Identifying the components that make interventions efficacious will help to increase the effectiveness of such interventions.
Keywords: Meta-analysis; Smoking cessation; Text messaging; mhealth.
Copyright © 2015 Elsevier Inc. All rights reserved.
Similar articles
- Efficacy of a text message-based smoking cessation intervention for young people: a cluster randomized controlled trial.
Haug S, Schaub MP, Venzin V, Meyer C, John U. Haug S, et al. J Med Internet Res. 2013 Aug 16;15(8):e171. doi: 10.2196/jmir.2636. J Med Internet Res. 2013. PMID: 23956024 Free PMC article. Clinical Trial. - The efficacy of mobile phone-based text message interventions ('Happy Quit') for smoking cessation in China.
Liao Y, Wu Q, Tang J, Zhang F, Wang X, Qi C, He H, Long J, Kelly BC, Cohen J. Liao Y, et al. BMC Public Health. 2016 Aug 19;16(1):833. doi: 10.1186/s12889-016-3528-5. BMC Public Health. 2016. PMID: 27543164 Free PMC article. Clinical Trial. - Text Messaging-Based Interventions for Smoking Cessation: A Systematic Review and Meta-Analysis.
Scott-Sheldon LA, Lantini R, Jennings EG, Thind H, Rosen RK, Salmoirago-Blotcher E, Bock BC. Scott-Sheldon LA, et al. JMIR Mhealth Uhealth. 2016 May 20;4(2):e49. doi: 10.2196/mhealth.5436. JMIR Mhealth Uhealth. 2016. PMID: 27207211 Free PMC article. Review. - Efficacy of text messaging-based interventions for health promotion: a meta-analysis.
Head KJ, Noar SM, Iannarino NT, Grant Harrington N. Head KJ, et al. Soc Sci Med. 2013 Nov;97:41-8. doi: 10.1016/j.socscimed.2013.08.003. Epub 2013 Aug 13. Soc Sci Med. 2013. PMID: 24161087 Review. - mHealth smoking cessation intervention among high school students: 3-month primary outcome findings from a randomized controlled trial.
Müssener U, Linderoth C, Thomas K, Bendtsen M. Müssener U, et al. PLoS One. 2020 Mar 6;15(3):e0229411. doi: 10.1371/journal.pone.0229411. eCollection 2020. PLoS One. 2020. PMID: 32142514 Free PMC article. Clinical Trial.
Cited by
- The relationship between electronic goal reminders and subsequent drug use and treatment initiation in a criminal justice setting.
Spohr SA, Taxman FS, Walters ST. Spohr SA, et al. Addict Behav. 2015 Dec;51:51-6. doi: 10.1016/j.addbeh.2015.07.005. Epub 2015 Jul 16. Addict Behav. 2015. PMID: 26217929 Free PMC article. Clinical Trial. - Remote Usability Testing and Satisfaction with a Mobile Health Medication Inquiry System in CKD.
Diamantidis CJ, Ginsberg JS, Yoffe M, Lucas L, Prakash D, Aggarwal S, Fink W, Becker S, Fink JC. Diamantidis CJ, et al. Clin J Am Soc Nephrol. 2015 Aug 7;10(8):1364-70. doi: 10.2215/CJN.12591214. Epub 2015 Jul 28. Clin J Am Soc Nephrol. 2015. PMID: 26220816 Free PMC article. Clinical Trial. - Comparison of mHealth and Face-to-Face Interventions for Smoking Cessation Among People Living With HIV: Meta-Analysis.
Uthman OA, Nduka CU, Abba M, Enriquez R, Nordenstedt H, Nalugoda F, Kengne AP, Ekström AM. Uthman OA, et al. JMIR Mhealth Uhealth. 2019 Jan 7;7(1):e203. doi: 10.2196/mhealth.9329. JMIR Mhealth Uhealth. 2019. PMID: 30617044 Free PMC article. - A pilot adaptive trial of text messages, mailed nicotine replacement therapy, and telephone coaching among primary care patients who smoke.
Kruse GR, Joyce A, Yu L, Park ER, Neil J, Chang Y, Rigotti NA. Kruse GR, et al. J Subst Use Addict Treat. 2023 Feb;145:208930. doi: 10.1016/j.josat.2022.208930. Epub 2023 Jan 6. J Subst Use Addict Treat. 2023. PMID: 36880910 Free PMC article. Clinical Trial. - Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis.
Klimis H, Nothman J, Lu D, Sun C, Cheung NW, Redfern J, Thiagalingam A, Chow CK. Klimis H, et al. JMIR Mhealth Uhealth. 2021 Nov 10;9(11):e27779. doi: 10.2196/27779. JMIR Mhealth Uhealth. 2021. PMID: 34757324 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous