Cited by 1,079Smoking Behavior and CessationMobile Health and mHealth ApplicationsMobile Learning in Education

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Mobile phone-based interventions for smoking cessation

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Whittaker, Robyn, McRobbie, Hayden, Bullen, Chris, Rodgers, Anthony, Gu, Yulong·2016·Cochrane Database of Systematic Reviews

DOI 10.1002/14651858.cd006611.pub4PMC PMC6485940

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Abstract

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.

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Devani, R., Kirubakaran, A., & Molokhia, M. (2022) · Health and Technology · doi:10.1007/s12553-022-00651-0 · Cited by 15
Healthcare Providers’ Views on Digital Smoking Cessation Interventions for Pregnant Women
Tombor, I., Neale, J., Shahab, L., Ruiz, M. A., & West, R. (2014) · The Journal of Smoking Cessation · doi:10.1017/jsc.2014.6 · Cited by 15
Mobile Technology for Treatment Augmentation in Veteran Smokers With Posttraumatic Stress Disorder
Herbst, E. D., Pennington, D., Kuhn, E. R., McCaslin, S. E., Delucchi, K., Batki, S. L., Dickter, B., & Carmody, T. P. (2017) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2017.08.016 · Cited by 15
DTEXT – text messaging intervention to improve outcomes of people with type 2 diabetes: protocol for randomised controlled trial and cost-effectiveness analysis
Waller, K., Furber, S. E., Bauman, A. E., Allman-Farinelli, M. A., van den Dolder, P., Hayes, A., Facci, F., Franco, L., Webb, A., Moses, R. G., et al. (2019) · BMC Public Health · doi:10.1186/s12889-019-6550-6 · Cited by 15
“can improve the short term health of cardiac patients [31], help promote smoking cessation [32] and assist in weight loss [29] by providing prompts, information, reminders and support.”
Background
International Approaches to Tobacco Use Cessation Programs and Policy in Adolescents and Young Adults: Denmark
Jarlstrup, N. S., Juel, K., Pisinger, C. H., Grønbæk, M., Holm, S., & Andersen, S. (2018) · Current Addiction Reports · doi:10.1007/s40429-018-0187-x · Cited by 14
Behavioral Activation–Based Digital Smoking Cessation Intervention for Individuals With Depressive Symptoms: Randomized Clinical Trial
Dahne, J., Wahlquist, A. E., Kustanowitz, J., Natale, N., Fahey, M. C., Graboyes, E. M., Díaz, V. A., & Carpenter, M. J. (2023) · Journal of Medical Internet Research · doi:10.2196/49809 · Cited by 15
A bstinence R einforcement T herapy (ART) for rural veterans: Methodology for an mHealth smoking cessation intervention
Wilson, S. M., Hair, L. P., Hertzberg, J. S., Kirby, A. C., Olsen, M. K., Lindquist, J. H., Maciejewski, M. L., Beckham, J. C., & Calhoun, P. S. (2016) · Contemporary Clinical Trials · doi:10.1016/j.cct.2016.08.008 · Cited by 14
Les outils du sevrage tabagique en 2018
Abdul-Kader, J., Airagnes, G., d’Almeida, S., Limosin, F., & Faou, A.-L. L. (2018) · Revue de Pneumologie Clinique · doi:10.1016/j.pneumo.2018.03.004 · Cited by 18
Blended Smoking Cessation Treatment: Exploring Measurement, Levels, and Predictors of Adherence
Siemer, L., Brusse-Keizer, M. G. J., Postel, M. G., Allouch, S. B., Bougioukas, A. P., Sanderman, R., & Pieterse, M. E. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9969 · Cited by 13
“In past decades, a variety of effective interventions for smoking cessation have become available [1,2], including, more recently, Web-based interventions [3,4] and mobile-phone interventions [5,6].”
Background
Predictors of Smoking Cessation in a Lifestyle-Focused Text-Message Support Programme Delivered to People with Coronary Heart Disease: An Analysis From the Tobacco Exercise and Diet Messages (TEXTME) Randomised Clinical Trial
Klimis, H., Marschner, S. L., Huben, A. V., Thiagalingam, A., & Chow, C. K. (2020) · Tobacco Use Insights · doi:10.1177/1179173x20901486 · Cited by 14
“We previously examined factors related to increasing engagement with TEXTME and these included (1) ability to save and share messages, (2) support from providers and family/friends, (3) feeling of support through participation in the programme, (4) timing the initiation of the programme close to their index cardiac ev…”
Method
Decídetexto: Feasibility and Acceptability of a Mobile Smoking Cessation Intervention in Puerto Rico
Cartujano‐Barrera, F., Peña-Vargas, C., Arana‐Chicas, E., Perez-Ramos, J. G., Mattei, J., Hurtado‐de‐Mendoza, A., Costas-Muñíz, R., Jiménez, J., Cupertino, A. P., & Castro, E. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041379 · Cited by 14
Effectiveness of Electronic Aids for Smoking Cessation
Meier, E. M., Tackett, A. P., & Wagener, T. L. (2013) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-013-0343-8 · Cited by 14
TControl: A mobile app to follow up tobacco-quitting patients
Pifarré, M., Carrera, A., Vilaplana, J., Cuadrado, J., Solsona, S., Abella, F., Solsona, F., & Alves, R. (2017) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2017.02.022 · Cited by 14
Using the Social-Local-Mobile App for Smoking Cessation in the SmokeFreeBrain Project: Protocol for a Randomized Controlled Trial
Sánchez, F. J., Hernández, L. C., Núñez-Benjumea, F. J., González, M. M., Moreno-Conde, J., Parra-Calderón, C. L., Fernández-Luque, L., Hors-Fraile, S., Civit, A., Bamidis, P. D., et al. (2018) · JMIR Research Protocols · doi:10.2196/12464 · Cited by 14
“On the other hand, evidence showed a beneficial impact of mobile phone–based smoking cessation interventions on 6-month cessation outcomes, although caution should be taken in generalizing these results outside this type of intervention and context [11].”
Resilience after withdrawing a technology-based medication adherence support intervention from people living with HIV in rural Uganda
Musiimenta, A., Atukunda, E. C., Tumuhimbise, W., & Haberer, J. E. (2018) · AIDS Care · doi:10.1080/09540121.2018.1510107 · Cited by 14
Efficacy of a Conversational Chatbot for Cigarette Smoking Cessation: Protocol of the Quitbot Full-Scale Randomized Controlled Trial
Bricker, J. B., Sullivan, B. M., Mull, K. E., Lavista-Ferres, J., & Santiago‐Torres, M. (2024) · Contemporary Clinical Trials · doi:10.1016/j.cct.2024.107727 · Cited by 14
The potential and barriers in the expansion and utilization of a text message-based tobacco cessation service among tobacco users in India
Basu, S. (2020) · The Journal of Smoking Cessation · doi:10.1017/jsc.2020.23 · Cited by 13
Motivations Toward Using Digital Health and Exploring the Possibility of Using Digital Health for Mental Health in Bangladesh University Students: Cross-sectional Questionnaire Study
Sifat, M. S., Saperstein, S. L., Tasnim, N., & Green, K. M. (2022) · JMIR Formative Research · doi:10.2196/34901 · Cited by 16
Text message intervention to reduce frequency of binge drinking among disadvantaged men: the TRAM RCT
Crombie, I. K., Irvine, L. A., Williams, B., Sniehotta, F. F., Petrie, D., Jones, C., Norrie, J. D., Evans, J. M. M., Emslie, C., Rice, P. M., et al. (2018) · Public Health Research · doi:10.3310/phr06060 · Cited by 15
Use of mobile applications in the management of overweight and obesity in primary and secondary care
Alnuaimi, A., Rawaf, S., Hassounah, S., & Chehab, M. A. H. (2019) · JRSM Open · doi:10.1177/2054270419843826 · Cited by 13
Adherence to Blended or Face-to-Face Smoking Cessation Treatment and Predictors of Adherence: Randomized Controlled Trial
Siemer, L., Brusse-Keizer, M. G. J., Postel, M. G., Allouch, S. B., Sanderman, R., & Pieterse, M. E. (2020) · Journal of Medical Internet Research · doi:10.2196/17207 · Cited by 13
“Blended Treatment In the past few decades, a variety of effective interventions for smoking cessation have become available [12,13], including more recently developed eHealth services such as web-based interventions [14,15] or mobile phone interventions [16,17].”
Background
State-level rurality and cigarette smoking-associated cancer incidence and mortality: Do individual-level trends translate to population-level outcomes?
Villanti, A. C., Klemperer, E. M., Sprague, B. L., & Ahern, T. P. (2021) · Preventive Medicine · doi:10.1016/j.ypmed.2021.106759 · Cited by 13
Evaluating the use of a recommender system for selecting optimal messages for smoking cessation: patterns and effects of user-system engagement
Chen, J., Houston, T. K., Faro, J. M., Nagawa, C. S., Orvek, E., Blok, A. C., Allison, J. J., Person, S. D., Smith, B., & Sadasivam, R. S. (2021) · BMC Public Health · doi:10.1186/s12889-021-11803-8 · Cited by 13
How smartphone applications may be implemented in the treatment of eating disorders: case reports and case series data
Darcy, A. M., Adler, S., Miner, A. S., & Lock, J. (2014) · Advances in Eating Disorders · doi:10.1080/21662630.2014.938089 · Cited by 12
Diabetes prevention program in a Mediterranean environment: Individual or group therapy? An effectiveness evaluation
Endevelt, R., Peled, R., Azrad, A., Kowen, G., Valinsky, L. J., & Heymann, A. D. (2014) · Primary care diabetes · doi:10.1016/j.pcd.2014.07.005 · Cited by 13
A Cognitive Behavioral Therapy–Based Text Messaging Intervention Versus Medical Management for HIV-Infected Substance Users: Study Protocol for a Pilot Randomized Trial
Glasner, S. V., Patrick, K., Ybarra, M. L., Reback, C. J., Rawson, R. A., Garneau, H. C., Chavez, K., & Venegas, A. (2016) · JMIR Research Protocols · doi:10.2196/resprot.5407 · Cited by 13
Does SMS improve gambling outcomes over and above access to other e-mental health supports? A feasibility study
Rodda, S. N., Dowling, N. A., Knaebe, B., & Lubman, D. I. (2017) · International Gambling Studies · doi:10.1080/14459795.2017.1388831 · Cited by 13
“Furthermore, studies in smoking cessation reporting improved outcomes compared with control groups offer SMS for much longer periods of time (i.e. up to 26 weeks) (Whittaker et al., 2012).”
Background
Mobile Phone Ownership Is Not a Serious Barrier to Participation in Studies: Descriptive Study
Harvey, E. J., Rubin, L. F., Smiley, S. L., Zhou, Y., Elmasry, H., & Pearson, J. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.8123 · Cited by 13
A Co-Designed, Culturally-Tailored mHealth Tool to Support Healthy Lifestyles in Māori and Pasifika Communities in New Zealand: Protocol for a Cluster Randomized Controlled Trial
Verbiest, M., Borrell, S., Dalhousie, S., Tupa'i-Firestone, R., Funaki, T., Goodwin, D., Grey, J., Henry, A., Hughes, E., Humphrey, G., et al. (2018) · JMIR Research Protocols · doi:10.2196/10789 · Cited by 13
“Formative research in New Zealand indicates that the majority of Māori would be keen to use an mHealth intervention for weight loss [15], and systematic reviews indicate that mHealth interventions can lead to behavior change [16-19].”
BackgroundSelf-citation
The Equity Impact of Proactive Outreach to Smokers: Analysis of a Randomized Trial
Danan, E. R., Fu, S. S., Clothier, B. A., Noorbaloochi, S., Hammett, P. J., Widome, R., & Burgess, D. J. (2018) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2018.05.023 · Cited by 13
Allen Carr’s Easyway to Stop Smoking - A randomised clinical trial
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A Qualitative Examination of Stay Quit Coach, A Mobile Application for Veteran Smokers With Posttraumatic Stress Disorder
Herbst, E. D., McCaslin, S. E., Daryani, S. H., Laird, K. T., Hopkins, L. B., Pennington, D., & Kuhn, E. R. (2019) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntz037 · Cited by 13
Engagement and Short-term Abstinence Outcomes Among Blacks and Whites in the National Cancer Institute's SmokefreeTXT Program
Robinson, C. D., Wiseman, K. P., Hooper, M. W., El‐Toukhy, S., Grenen, E., Vercammen, L. K., & Prutzman, Y. M. (2019) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntz178 · Cited by 13
Could COVID expand the future of addiction research? Long‐term implications in the pandemic era
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Authors: Whittaker, R., McRobbie, H., Bullen, C., Rodgers, A., & Gu, Y.
Affiliations: University of Auckland (NZ)
Queen Mary University of London (GB)
The George Institute for Global Health (AU)
Stockton University (US)
ORCID: Whittaker, Robyn
McRobbie, Hayden
Bullen, Chris
Rodgers, Anthony
Gu, Yulong
Venue: Cochrane Database of Systematic Reviews
Publisher: Wiley
Published: 2016-04-10
Volume: 4
Pages: CD006611-CD006611
ISSN: 1361-6137 (ISSN-L)
1465-1858
DOI: 10.1002/14651858.cd006611.pub4
PMC: PMC6485940
OpenAlex: W2123622898
Cited by: 1,079
References: 92
Citations by year: 2026: 15 · 2025: 31 · 2024: 43 · 2023: 56 · 2022: 56 · 2021: 71 · 2020: 113 · 2019: 122 · 2018: 121 · 2017: 96 · 2016: 86
FWCI: 16.62
Type: journal article
Language: en
Update notices: new_version (2019-10-22)
Open access: bronze
doi.org
Locations: Cochrane Database of Systematic Reviews (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
ResearchSpace (University of Auckland) (submittedVersion)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Keywords: smoking cessation, mobile phone intervention, text messaging, low-income populations, abstinence, point prevalence, video messaging, telephone quitline, risk of bias, loss to follow-up, cost-effectiveness, implementation barriers, implementation facilitators
MeSH terms: Adult, Counseling, Humans, Randomized Controlled Trials as Topic, Smoking Cessation, Cell Phone, Text Messaging

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