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

The DOI matches its Crossref record; 91 of the 92 references it cites were found in a registry or an index.

Mobile phone-based interventions for smoking cessation

Open access

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

DOI 10.1002/14651858.cd006611.pub4PMC PMC6485940

Open this paper in CoChat — free account Open PDF

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1002/14651858.cd006611.pub4

Cites

91 of 91 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Nicotine replacement therapy for smoking cessation
Stead, L. F., Perera, R., Bullen, C., Mant, D., Hartmann‐Boyce, J., Cahill, K., & Lancaster, T. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000146.pub4 · Cited by 2,564
Self-citation
Treating tobacco use and dependence: 2008 update: Clinical practice guideline
(2008) · PsycEXTRA Dataset · doi:10.1037/e481882008-001 · Cited by 1,219
The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis
Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001363 · Cited by 1,187
Telephone counselling for smoking cessation
Stead, L. F., Hartmann‐Boyce, J., Perera, R., & Lancaster, T. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002850.pub3 · Cited by 1,030
Global Effects of Smoking, of Quitting, and of Taxing Tobacco
Jha, P., & Peto, R. (2014) · New England Journal of Medicine · doi:10.1056/nejmra1308383 · Cited by 843
Do u smoke after txt? Results of a randomised trial of smoking cessation using mobile phone text messaging
Rodgers, A., Corbett, T., Bramley, D., Riddell, T., Wills, M., Lin, R.-B., & Jones, M. (2005) · Tobacco Control · doi:10.1136/tc.2005.011577 · Cited by 732
Self-citation
Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial
Free, C., Knight, R., Robertson, S., Whittaker, R., Edwards, P., Zhou, W., Rodgers, A., Cairns, J., Kenward, M. G., & Roberts, I. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60701-0 · Cited by 728
Self-citation
Cluster-Randomized Trial of a Mobile Phone Personalized Behavioral Intervention for Blood Glucose Control
Quinn, C. C., Shardell, M. D., Terrin, M. L., Barr, E. A., Ballew, S. H., & Gruber-Baldini, A. L. (2011) · Diabetes Care · doi:10.2337/dc11-0366 · Cited by 650
Mobile phone-based interventions for smoking cessation
Whittaker, R., McRobbie, H. J., Bullen, C., Borland, R., Rodgers, A., & Gu, Y. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006611.pub3 · Cited by 410
Self-citation

Show all 92 references

Research works printed but not linked: 8

Ferguson SG Walters JAE The effect of mobile phone text messages on short and long term quitting in motivated smokers: a randomised controlled trial Proceedings of the Society for Research on Nicotine and Tobacco 21st Annual Meeting; 2015 Feb 25-28 Philadelphia 2015 252 (POS3-80)
Gritz ER Vidrine DJ Marks RM Arduino RC A randomized trial of an innovative cell phone intervention for smokers living with HIV/AIDS [SYM 10A] Proceedings of the Society for Research on Nicotine & Tobacco 17th Annual Meeting; 2011 Feb 16-19, Toronto 2011 13
Haug, 2013, Moderators of outcome in a text messaging (SMS)-based smoking cessation intervention for young people, Psychiatrische Praxis, 40, 339
Applegate BW Raymond C Collado-Rodriguez A Riley WT Schneider NG Improving adherence to nicotine gum by sms text messaging: a pilot study (RPOS3-57) Proceedings of the Society for Research on Nicotine and Tobacco, 13th Annual Meeting; 2007 Feb 21-24; Austin, Texas 2007 14
Haug, 2008, Individual support of smoking cessation using text messaging: results of two pilot studies, Sucht, 54, 316
Yuhongxia, 2011, The compliance of varenicline usage and the smoking abstinence rate via mobile phone text messaging combine with varenicline: a single-blind, randomised control trial, Respirology, 16, 46
Bramley, 2005, Smoking cessation using mobile phone text messaging is as effective in Maori as non-Maori, New Zealand Medical Journal, 118, 1494
Guerriero, 2013, The cost-effectiveness of smoking cessation support delivered by mobile phone text messaging: Txt2stop, European Journal of Health Economics, 14, 789, 10.1007/s10198-012-0424-5 · DOI

Sorted by citations

Items 301–400 of 1,000

Open mHealth Architecture: A Primer for Tomorrow's Orthopedic Surgeon and Introduction to Its Use in Lower Extremity Arthroplasty
Ramkumar, P. N., Muschler, G. F., Spindler, K. P., Harris, J. D., McCulloch, P. C., & Mont, M. A. (2016) · The Journal of Arthroplasty · doi:10.1016/j.arth.2016.11.019 · Cited by 38
Use of text messaging to improve patient experience and communication with pediatric tonsillectomy patients
Newton, L., & Sulman, C. G. (2018) · International Journal of Pediatric Otorhinolaryngology · doi:10.1016/j.ijporl.2018.07.048 · Cited by 37
Mindfulness-Based Smoking Cessation Enhanced With Mobile Technology (iQuit Mindfully): Pilot Randomized Controlled Trial
Spears, C. A., Abroms, L. C., Glass, C. R., Hedeker, D., Eriksen, M. P., Cottrell-Daniels, C., Tran, B. Q., & Wetter, D. W. (2019) · JMIR mHealth and uHealth · doi:10.2196/13059 · Cited by 37
“There is strong empirical support for text messaging programs for smoking cessation [25-30], although none to our knowledge has focused on mindfulness.”
Background
Early Pregnancy Cardiovascular Health and Subclinical Atherosclerosis
Benschop, L. H., Schalekamp–Timmermans, S., Schelling, S., Steegers, E. A. P., & van Lennep, J. E. R. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.118.011394 · Cited by 37
eHealth Interventions for Solid Organ Transplant Recipients: A Systematic Review and Meta-analysis of Randomized Controlled Trials
Tang, J., James, L. J., Howell, M., Tong, A., & Wong, G. (2020) · Transplantation · doi:10.1097/tp.0000000000003294 · Cited by 44
An mHealth Intervention for Pregnancy Prevention for LGB Teens: An RCT
Ybarra, M. L., Goodenow, C. S., Rosario, M., Saewyc, E., & Prescott, T. L. (2021) · PEDIATRICS · doi:10.1542/peds.2020-013607 · Cited by 37
A novel and remote biochemical verification method of smoking abstinence: Predictors of participant compliance
Thrul, J., Meacham, M. C., & Ramo, D. E. (2018) · Tobacco Prevention & Cessation · doi:10.18332/tpc/90649 · Cited by 37
Efficacy of a Just-in-Time Adaptive Intervention to Promote HIV Risk Reduction Behaviors Among Young Adults Experiencing Homelessness: Pilot Randomized Controlled Trial
Santa Maria, D., Padhye, N., Businelle, M., Yang, Y., Jones, J., Sims, A., & Lightfoot, M. (2021) · Journal of Medical Internet Research · doi:10.2196/26704 · Cited by 36
Developing a tailored substance use intervention for youth exiting foster care
Braciszewski, J. M., Tzilos Wernette, G. K., Moore, R. S., Tran, T. B., Bock, B. C., Stout, R. L., Chamberlain, P., & Vose-O’Neal, A. (2018) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2018.01.013 · Cited by 36
Text message-based diabetes self-management support (SMS4BG): study protocol for a randomised controlled trial
Dobson, R., Whittaker, R., Jiang, Y., Shepherd, M., Maddison, R., Carter, K., Cutfield, R., McNamara, C., Khanolkar, M., & Murphy, R. (2016) · Trials · doi:10.1186/s13063-016-1305-5 · Cited by 36
Self-citation
Beneath the Surface: Abstract Construal Mindset Increases Receptivity to Metaphors in Health Communications
Landau, M. J., Cameron, L. D., Arndt, J., Hamilton, W. K., Swanson, T., & Bultmann, M. N. (2019) · Social Cognition · doi:10.1521/soco.2019.37.3.314 · Cited by 37
Participant-level meta-analysis of mobile phone-based interventions for smoking cessation across different countries
Ybarra, M. L., Jiang, Y., Free, C., Abroms, L. C., & Whittaker, R. (2016) · Preventive Medicine · doi:10.1016/j.ypmed.2016.05.002 · Cited by 36
Self-citation
Development and evaluation of the See Me Smoke-Free multi-behavioral mHealth app for women smokers
Gordon, J. S., Armin, J. S., Hingle, M. D., Giacobbi, P. R., Cunningham, J. K., Johnson, T. M., Abbate, K., Howe, C. L., & Roe, D. J. (2017) · Translational Behavioral Medicine · doi:10.1007/s13142-017-0463-7 · Cited by 39
Mobile Phone Apps for Smoking Cessation: Quality and Usability Among Smokers With Psychosis
Ferron, J. C., Brunette, M. F., Geiger, P., Marsch, L. A., Adachi‐Mejia, A. M., & Bartels, S. J. (2017) · JMIR Human Factors · doi:10.2196/humanfactors.5933 · Cited by 36
Feasibility of biochemical verification in a web-based smoking cessation study
Cha, S., Ganz, O., Cohn, A. M., Ehlke, S. J., & Graham, A. L. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.05.020 · Cited by 36
Engagement Within a Mobile Phone–Based Smoking Cessation Intervention for Adolescents and its Association With Participant Characteristics and Outcomes
Castro, R. P., Haug, S., Filler, A., Kowatsch, T., & Schaub, M. P. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7928 · Cited by 42
Tobacco use disorder and treatment: new challenges and opportunities
Ziedonis, D. M., Das, S., & Larkin, C. (2017) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2017.19.3/dziedonis · Cited by 36
Smartphone applications available to pregnant women in the United Kingdom: An assessment of nutritional information
Bland, C., Dalrymple, K. V., White, S. L., Moore, A. P., Poston, L., & Flynn, A. C. (2019) · Maternal and Child Nutrition · doi:10.1111/mcn.12918 · Cited by 36
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. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229411 · Cited by 39
Global burden of active smoking among people living with HIV on antiretroviral therapy: a systematic review and meta-analysis
Ale, B. M., Amahowe, F., Nganda, M. M., Danwang, C., Wakaba, N. N., Almuwallad, A., Ale, F. B. G., Sanoussi, A., Abdullahi, S. H., & Bigna, J. J. (2021) · Infectious Diseases of Poverty · doi:10.1186/s40249-021-00799-3 · Cited by 37
Role of user a priori attitude in the acceptance of mobile health: an empirical investigation
Cocosila, M. (2012) · Electronic Markets · doi:10.1007/s12525-012-0111-5 · Cited by 36
Usability testing of a smoking cessation smartphone application (‘SmokeFree Baby’): A think-aloud study with pregnant smokers
Wu, J. Y., Tombor, I., Shahab, L., & West, R. (2017) · Digital Health · doi:10.1177/2055207617704273 · Cited by 35
Tailoring of a Smartphone Smoking Cessation App (Kick.it) for Serious Mental Illness Populations: Qualitative Study
Klein, P., Lawn, S., Tsourtos, G., & van Agteren, J. (2019) · JMIR Human Factors · doi:10.2196/14023 · Cited by 35
“7 times higher quit rate than smokers who did not receive the interventions [18].”
Background
Modes of delivery in preventive intervention studies: a rapid review
Beall, R. F., Baskerville, N. B., Golfam, M., Saeed, S., & Little, J. (2014) · European Journal of Clinical Investigation · doi:10.1111/eci.12279 · Cited by 36
A Pilot Study on the Feasibility and Acceptability of a Text Message-Based Aftercare Treatment Programme Among Alcohol Outpatients
Haug, S., Lucht, M. J., John, U., Meyer, C., & Schaub, M. P. (2015) · Alcohol and Alcoholism · doi:10.1093/alcalc/agu107 · Cited by 35
Texting to Increase Physical Activity Among Teenagers (TXT Me!): Rationale, Design, and Methods Proposal
Thompson, D. I., Cantu, D., Bhatt, R., Baranowski, T., Rodgers, W. M., Jago, R., Anderson, B. J., Liu, Y., Mendoza, J. A., Tapia, R., et al. (2014) · JMIR Research Protocols · doi:10.2196/resprot.3074 · Cited by 39
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, B. C., & Cohen, J. E. (2016) · BMC Public Health · doi:10.1186/s12889-016-3528-5 · Cited by 35
Effectiveness of Text Messaging as an Adjuvant to Health Advice in Smoking Cessation Programs in Primary Care. A Randomized Clinical Trial
Campos, R. C., de Larrinoa, A. A. F., Moríñigo, A., Parraza, N., & Barandiarán, F. A. (2016) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntw300 · Cited by 35
Quittr: The Design of a Video Game to Support Smoking Cessation
Bindoff, I. K., de Salas, K., Peterson, G. M., Ling, T. R., Lewis, I., Wells, L., Gee, P. R., & Ferguson, S. G. (2016) · JMIR Serious Games · doi:10.2196/games.6258 · Cited by 34
Efficacy of a technology-based, integrated smoking cessation and alcohol intervention for smoking cessation in adolescents: Results of a cluster-randomised controlled trial
Haug, S., Castro, R. P., Kowatsch, T., Filler, A., & Schaub, M. P. (2017) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2017.09.008 · Cited by 34
Mobile phone-based interventions for smoking cessation
Whittaker, R., Borland, R., Bullen, C., Lin, R., McRobbie, H. J., & Rodgers, A. (2010) · Sao Paulo Medical Journal · doi:10.1590/s1516-31802010000200014 · Cited by 35
Self-citation
Tobacco dependence treatment in the emergency department: A randomized trial using the Multiphase Optimization Strategy
Bernstein, S. L., Dziura, J., Weiss, J., Miller, T. R., Vickerman, K. A., Grau, L. E., Pantalon, M. V., Abroms, L. C., Collins, L. M., & Toll, B. A. (2017) · Contemporary Clinical Trials · doi:10.1016/j.cct.2017.12.016 · Cited by 34
“The newest approach, text messaging on mobile phones, is supported by a Cochrane review [30].”
Background
Opportunities to Integrate Mobile App–Based Interventions Into Mental Health and Substance Use Disorder Treatment Services in the Wake of COVID-19
Satre, D. D., Meacham, M. C., Asarnow, L. D., Fisher, W. S., Fortuna, L. R., & Iturralde, E. (2021) · American Journal of Health Promotion · doi:10.1177/08901171211055314 · Cited by 37
There's an App for That: Mobile Technology Is a New Advantage in Managing Chronic Pain
Ballantyne, J. C., & Cousins, M. J. (2013) · Cited by 34
A Review of the Theoretical Basis, Effects, and Cost Effectiveness of Online Smoking Cessation Interventions in the Netherlands: A Mixed-Methods Approach
Cheung, K. L., Wijnen, B. F. M., & de Vries, H. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7209 · Cited by 33
mHealth Intervention is Effective in Creating Smoke-Free Homes for Newborns: A Randomized Controlled Trial Study in China
Yu, S., Duan, Z., Redmon, P. B., Eriksen, M. P., Koplan, J. P., & Huang, C. (2017) · Scientific Reports · doi:10.1038/s41598-017-08922-x · Cited by 33
Using Mobile Health Intervention to Improve Secondary Prevention of Coronary Heart Diseases in China: Mixed-Methods Feasibility Study
Chen, S., Gong, E.-Y., Kazi, D. S., Gates, A., Bai, R., Fu, H., Peng, W., Cruz, G. I. R. D. L., Chen, L., Liu, X.-X., et al. (2018) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7849 · Cited by 33
Can Older Adults Benefit from Smart Devices, Wearables, and Other Digital Health Options to Enhance Cardiac Rehabilitation?
Redfern, J. (2019) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2019.07.004 · Cited by 38
Mediators of a smoking cessation intervention for persons living with HIV/AIDS
Vidrine, D. J., Kypriotakis, G., Li, L., Arduino, R. C., Fletcher, F. E., Tamí-Maury, I. M., & Gritz, E. R. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.12.003 · Cited by 33
Youth recovery outcomes at 6 and 9 months following participation in a mobile texting recovery support aftercare pilot study
Gonzales, R. E., Hernandez, M., Murphy, D. A., & Ang, A. (2015) · American Journal on Addictions · doi:10.1111/ajad.12322 · Cited by 33
Evaluation of a Web-Based Self-Management Program for Patients With Cardiovascular Disease: Explorative Randomized Controlled Trial
Engelen, M. M., van Dulmen, S., Puijk‐Hekman, S., Vermeulen, H., der Sanden, M. W. G. N., Bredie, S. J. H., & van Gaal, B. G. I. (2020) · Journal of Medical Internet Research · doi:10.2196/17422 · Cited by 37
“Other (effective) eHealth interventions for CVD prevention focused primarily on one or two risk factors (eg, physical activity [15] and smoking cessation [37]).”
Background
A Report on Smoking Detection and Quitting Technologies
Ortis, A., Caponnetto, P., Polosa, R., Urso, S., & Battiato, S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17072614 · Cited by 33
Influences on the Uptake of Health and Well-being Apps and Curated App Portals: Think-Aloud and Interview Study
Szinay, D., Perski, O., Jones, A., Chadborn, T., Brown, J., & Naughton, F. (2021) · JMIR mhealth and uhealth · doi:10.2196/27173 · Cited by 33
Interventions for Adherence Improvement in the Primary Prevention of Cardiovascular Diseases: Expert Consensus Statement
Ihm, S., Kim, K., Lee, K. J., Won, J. W., Na, J. O., Rha, S., Kim, H., Kim, S., & Shin, J. (2021) · Korean Circulation Journal · doi:10.4070/kcj.2021.0226 · Cited by 36
Text Messaging in Health Care: A Systematic Review of Impact Studies
Yeager, V. A., & Menachemi, N. (2011) · Advances in health care management · doi:10.1108/s1474-8231(2011)0000011013 · Cited by 33
Telephone delivered interventions for reducing morbidity and mortality in people with HIV infection
Gentry, S. V., van-Velthoven, M. H., Car, L. T., & Car, J. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009189.pub2 · Cited by 33
Does a text messaging intervention improve knowledge, attitudes and practice regarding iodine deficiency and iodized salt consumption?
Mehran, L., Nazeri, P., Delshad, H., Mirmiran, P., Mehrabi, Y., & Azizi, F. (2012) · Public Health Nutrition · doi:10.1017/s1368980012000869 · Cited by 33
Missing the mark for patient engagement: mHealth literacy strategies and behavior change processes in smoking cessation apps
Paige, S. R., Alber, J. M., Stellefson, M. L., & Krieger, J. L. (2018) · Patient Education and Counseling · doi:10.1016/j.pec.2017.11.006 · Cited by 25
Conversational Chatbot for Cigarette Smoking Cessation: Results From the 11-Step User-Centered Design Development Process and Randomized Controlled Trial
Bricker, J. B., Sullivan, B. M., Mull, K. E., Santiago‐Torres, M., & Ferres, J. L. (2024) · JMIR mhealth and uhealth · doi:10.2196/57318 · Cited by 42
“On the basis of evidence from meta-analyses of SMS text messaging trials [85], all outcome models were adjusted for the 3 factors used in stratified randomization: biological sex (male vs female), heaviness of smoking index score ( ≤ 4 vs >4), and percent confidence in being smoke-free in 12 months…”
Steps in Tailoring a Text Messaging–Based Smoking Cessation Program for Young Adults
Ybarra, M. L., Prescott, T. L., & Holtrop, J. S. (2014) · Journal of Health Communication · doi:10.1080/10810730.2014.901441 · Cited by 32
Smoking Cessation in Pregnancy
Phelan, S. T. (2014) · Obstetrics and Gynecology Clinics of North America · doi:10.1016/j.ogc.2014.02.007 · Cited by 32
Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study
Cheng, F., Xu, J., Su, C., Fu, X., & Bricker, J. B. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7462 · Cited by 32
A qualitative study of tobacco interventions for LGBTQ+ youth and young adults: overarching themes and key learnings
Baskerville, N. B., Wong, K., Shuh, A., Abramowicz, A., Dash, D., Esmail, A., & Kennedy, R. D. (2018) · BMC Public Health · doi:10.1186/s12889-018-5050-4 · Cited by 34
Leveraging Positive Psychology to Support Smoking Cessation in Nondaily Smokers Using a Smartphone App: Feasibility and Acceptability Study
Hoeppner, B. B., Hoeppner, S. S., Carlon, H. A., Perez, G. K., Helmuth, E., Kahler, C. W., & Kelly, J. F. (2019) · JMIR mhealth and uhealth · doi:10.2196/13436 · Cited by 30
“They are particularly promising given the demonstrated effectiveness of text-messaging interventions to support smoking cessation [15].”
Evaluation of the Tobbstop Mobile App for Smoking Cessation: Cluster Randomized Controlled Clinical Trial
Pallejà-Millán, M., Rey‐Reñones, C., Uriarte, M. L. B., Granado‐Font, E., Basora, J., Flores‐Mateo, G., & Duch, J. (2020) · JMIR mhealth and uhealth · doi:10.2196/15951 · Cited by 32
“Our study contributes to the literature on the design and evaluation of mobile health apps designed to help patients in the process of tobacco cessation [8-10,17], since most of the current research is based on the use of text messages to mobile phones [18].”
Background
Tobacco Harms, Nicotine Pharmacology, and Pharmacologic Tobacco Cessation Interventions for Women
Baraona, L. K., Lovelace, D. L., Daniels, J. L., & McDaniel, L. R. (2017) · Journal of Midwifery & Women s Health · doi:10.1111/jmwh.12616 · Cited by 34
Trust in Health Information Sources: Survey Analysis of Variation by Sociodemographic and Tobacco Use Status in Oklahoma
Brown‐Johnson, C. G., Boeckman, L. M., White, A. H., Burbank, A. D., Paulson, S., & Beebe, L. A. (2018) · JMIR Public Health and Surveillance · doi:10.2196/publichealth.6260 · Cited by 32
Breaking Barriers: Mobile Health Interventions for Cardiovascular Disease
Klimis, H., Thakkar, J., & Chow, C. K. (2018) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2018.02.012 · Cited by 40
Long-Term Effectiveness of a Clinician-Assisted Digital Cognitive Behavioral Therapy Intervention for Smoking Cessation: Secondary Outcomes From a Randomized Controlled Trial
Webb, J., Peerbux, S., Ang, A., Siddiqui, S., Sherwani, Y., Ahmed, M., MacRae, H., Puri, H., Majeed, A., & Glasner, S. V. (2022) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntac113 · Cited by 31
Efficacy of an internet and SMS-based integrated smoking cessation and alcohol intervention for smoking cessation in young people: study protocol of a two-arm cluster randomised controlled trial
Haug, S., Castro, R. P., Filler, A., Kowatsch, T., Fleisch, E., & Schaub, M. P. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-1140 · Cited by 31
A Mobile Smoking Cessation Intervention for Mexico (Vive sin Tabaco... ¡Decídete!): Single-Arm Pilot Study
Cupertino, A. P., Cartujano‐Barrera, F., Ramírez, M., Rodríguez-Bolaños, R., Thrasher, J. F., Pérez-Rubio, G., Falfán‐Valencia, R., Ellerbeck, E. F., & Reynales-Shigematsu, L. M. (2019) · JMIR mhealth and uhealth · doi:10.2196/12482 · Cited by 31
“A number of studies have examined the effectiveness of text messaging interventions to promote and support smoking cessation [27-29].”
Tobacco control in Europe: A review of campaign strategies for teenagers and adults
Bafunno, D., Catino, A., Lamorgese, V., Pizzutilo, P., Lauro, A. D., Petrillo, P., Lapadula, V., Mastrandrea, A., Ricci, D., & Galetta, D. (2019) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2019.01.022 · Cited by 31
Effectiveness of Text Message Interventions for Weight Management in Adolescents: Systematic Review
Partridge, S. R., Raeside, R., Singleton, A. C., Hyun, K. K., & Redfern, J. (2020) · JMIR mhealth and uhealth · doi:10.2196/15849 · Cited by 31
“There is evidence which indicates that text messaging interventions in adults can promote improvements in lifestyle behavior change for weight loss, smoking cessation, physical activity, management of chronic disease and CVD risk, blood pressure lowering, and diabetes care [17-22].”
Background
Immediate smoking cessation support versus usual care in smokers attending a targeted lung health check: the QuLIT trial
Buttery, S. C., Williams, P. J., Mweseli, R., Philip, K. E. J., Sadaka, A. S., Bartlett, E., Devaraj, A., Kemp, S. V., Addis, J., Derbyshire, J., et al. (2022) · BMJ Open Respiratory Research · doi:10.1136/bmjresp-2021-001030 · Cited by 31
Prioritizing the mHealth Design Space: A Mixed-Methods Analysis of Smokers’ Perspectives
Hartzler, A. L., BlueSpruce, J., Catz, S. L., & McClure, J. B. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5742 · Cited by 32
The Efficacy of an Event-Specific, Text Message, Personalized Drinking Feedback Intervention
Cadigan, J. M., Martens, M. P., Dworkin, E. R., & Sher, K. J. (2018) · Prevention Science · doi:10.1007/s11121-018-0939-9 · Cited by 32
Technology Use Patterns Among Patients Enrolled in Inpatient Detoxification Treatment
Tofighi, B., Leonard, N. R., Greco, P. P., Hadavand, A., Acosta, M. C., & Lee, J. D. (2018) · Journal of Addiction Medicine · doi:10.1097/adm.0000000000000494 · Cited by 31
Stepwise Development of a Text Messaging-Based Bullying Prevention Program for Middle School Students (BullyDown)
Ybarra, M. L., Prescott, T. L., & Espelage, D. L. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.4936 · Cited by 30
Comparing the Efficacy of an Identical, Tailored Smoking Cessation Intervention Delivered by Mobile Text Messaging Versus Email: Randomized Controlled Trial
Gram, I. T., Larbi, D., & Wangberg, S. C. (2019) · JMIR mhealth and uhealth · doi:10.2196/12137 · Cited by 30
“The randomized controlled trials (RCTs) included in the most recent Cochrane reviews on internet-based [13] and mobile phone–based [12] smoking cessation interventions most frequently compare the effect of the intervention with the comparing condition at 6 months post cessation.”
BackgroundMethod
“Every day I think about your messages”: assessing text messaging engagement among Latino smokers in a mobile cessation program
Cartujano‐Barrera, F., Arana‐Chicas, E., Ramírez, M., Perales‐Puchalt, J., Cox, L. S., Ellerbeck, E. F., Catley, D., & Cupertino, A. P. (2019) · Patient Preference and Adherence · doi:10.2147/ppa.s209547 · Cited by 30
Smartphone Sensing for the Well-Being of Young Adults: A Review
Meegahapola, L., & Gática-Pérez, D. (2020) · IEEE Access · doi:10.1109/access.2020.3045935 · Cited by 34
Real-time prediction of smoking activity using machine learning based multi-class classification model
Thakur, S. S., Poddar, P., & Roy, R. B. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12349-6 · Cited by 30
Information Needs and Communication Strategies for People with Coronary Heart Disease: A Scoping Review
Zwack, C. C., Smith, C., Poulsen, V., Raffoul, N., & Redfern, J. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20031723 · Cited by 32
Exposure to tobacco smoke based on urinary cotinine levels among Israeli smoking and nonsmoking adults: a cross-sectional analysis of the first Israeli human biomonitoring study
Levine, H., Berman, T., Goldsmith, R., Göen, T., Spungen, J. H., Novack, L., Amitai, Y., Shohat, T., & Grotto, I. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-1241 · Cited by 30
“Vive Sin Tabaco… ¡Decídete!” Feasibility and Acceptability of an e-Health Smoking Cessation Informed Decision-Making Tool Integrated in Primary Healthcare in Mexico
Cupertino, A. P., Cartujano‐Barrera, F., Perales‐Puchalt, J., Formagini, T. D. B., Rodríguez-Bolaños, R., Ellerbeck, E. F., Ponciano‐Rodríguez, G., & Reynales-Shigematsu, L. M. (2018) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2017.0299 · Cited by 30
Time-varying effects of a text-based smoking cessation intervention for urban adolescents
Mason, M., Mennis, J., Way, T., Lanza, S., Russell, M., & Zaharakis, N. (2015) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2015.10.016 · Cited by 28
Proactive Referral to Behavioral Smoking Cessation Programs by Healthcare Staff: A Systematic Review
van Westen-Lagerweij, N. A., Walters, B. H., Potyka, F., Croes, E. A., & Willemsen, M. C. (2022) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntac262 · Cited by 31
Mobile Health Interventions for Psychiatric Conditions in Children
Archangeli, C., Marti, F., Pasiah, E., & Zima, B. T. (2016) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2016.07.009 · Cited by 30
Randomised controlled trial of stand-alone tailored emails for smoking cessation
Westmaas, J. L., Bontemps-Jones, J. E., Hendricks, P. S., Kim, J., & Abroms, L. C. (2017) · Tobacco Control · doi:10.1136/tobaccocontrol-2016-053056 · Cited by 29
Text messaging (SMS) as a tool to facilitate weight loss and prevent metabolic deterioration in clinically healthy overweight and obese subjects: a randomised controlled trial
Siliņa, V., Tessma, M. K., Seņkāne, S., Krieviņa, G., & Bahs, G. (2017) · Scandinavian Journal of Primary Health Care · doi:10.1080/02813432.2017.1358435 · Cited by 29
Exploring Efficacy of a Serious Game (Tobbstop) for Smoking Cessation During Pregnancy: Randomized Controlled Trial
Marin-Gomez, F. X., Marchán, R. G.-M., Mayos-Fernandez, A., Flores‐Mateo, G., Granado‐Font, E., Uriarte, M. L. B., Duch, J., & Rey‐Reñones, C. (2019) · JMIR Serious Games · doi:10.2196/12835 · Cited by 29
“This information will be key in the development of future mobile apps that respond and are better adapted to user demands, [14].”
Background
The Mobile Health Multiple Lifestyle Behavior Interventions Across the Lifespan (MoBILE) Research Program: Protocol for Development, Evaluation, and Implementation
Bendtsen, M., Bendtsen, P., Henriksson, H., Henriksson, P., Müssener, U., Thomas, K., & Löf, M. (2020) · JMIR Research Protocols · doi:10.2196/14894 · Cited by 28
“In the past 10 to 15 years, there has been a strong increase in research investigating mHealth intervention programs for improving modifiable risk factors for chronic diseases, including diet, physical activity, weight loss, smoking cessation, and alcohol consumption reduction [12-17].”
Background
Effectiveness of a Dyadic Buddy App for Smoking Cessation: Randomized Controlled Trial
Schwaninger, P., Berli, C., Scholz, U., & Lüscher, J. (2021) · Journal of Medical Internet Research · doi:10.2196/27162 · Cited by 27
Effect of Mobile Phone Text Messaging Self-Management Support for Patients With Diabetes or Coronary Heart Disease in a Chronic Disease Management Program (SupportMe) on Blood Pressure: Pragmatic Randomized Controlled Trial
Cheung, N. W., Redfern, J., Thiagalingam, A., Hng, T., Marschner, S. L., Haider, R., Faruquie, S., Huben, A. V., She, S., McIntyre, D., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/38275 · Cited by 29
Synthesis of Evidence On Heterogeneous Interventions with Multiple Outcomes Recorded Over Multiple Follow-Up Times Reported Inconsistently: A Smoking Cessation Case-Study
Madan, J. J., Chen, Y., Aveyard, P. N., Wang, D., Yahaya, I., Munafo, M. R., Bauld, L., & Welton, N. J. (2013) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12018 · Cited by 28
Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems
Garg, S. K., Lyles, C. R., Ackerman, S., Handley, M. A., Schillinger, D., Gourley, G., Aulakh, V., & Sarkar, U. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0258-7 · Cited by 32
A text message intervention to reduce 21st birthday alcohol consumption: Evaluation of a two-group randomized controlled trial.
Bernstein, M. H., Stein, L. A. R., Neighbors, C., Suffoletto, B. P., Carey, K. B., Ferszt, G. G., Caron, N., & Wood, M. D. (2018) · Psychology of Addictive Behaviors · doi:10.1037/adb0000342 · Cited by 30
A Remote Intervention to Prevent or Delay Cognitive Impairment in Older Adults: Design, Recruitment, and Baseline Characteristics of the Virtual Cognitive Health (VC Health) Study
Bott, N. T., Kumar, S., Krebs, C., Glenn, J. M., Madero, E. N., & Juusola, J. L. (2018) · JMIR Research Protocols · doi:10.2196/11368 · Cited by 32
“management [49-52], cardiovascular risk reduction [53-55], pain management [56], and smoking cessation [57].”
Background
Lessons learned from unsuccessful use of personal carbon monoxide monitors to remotely assess abstinence in a pragmatic trial of a smartphone stop smoking app – A secondary analysis
Herbeć, A., Brown, J., Shahab, L., & West, R. (2018) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2018.07.003 · Cited by 29
Conservation of Procrastination
Kovacs, G., Gregory, D. M., Ma, Z., Wu, Z., Emami, G., Ray, J., & Bernstein, M. S. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300560 · Cited by 29
Smartphone Ownership Among US Adult Cigarette Smokers: 2014 Health Information National Trends Survey (HINTS) Data
Heffner, J. L., & Mull, K. E. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7953 · Cited by 28
Peer Mentoring and Automated Text Messages for Smoking Cessation: A Randomized Pilot Trial
White, J. S., Toussaert, S., Thrul, J., Bontemps-Jones, J. E., Abroms, L. C., & Westmaas, J. L. (2019) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntz047 · Cited by 28
Primary Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus Using Mobile Health Technology: Systematic Review of the Literature
Buss, V. H., Leesong, S., Barr, M. L., Varnfield, M., & Harris, M. (2020) · Journal of Medical Internet Research · doi:10.2196/21159 · Cited by 27
Digital Technology for Suicide Prevention
Braciszewski, J. M. (2021) · Advances in Psychiatry and Behavioral Health · doi:10.1016/j.ypsc.2021.05.008 · Cited by 28
The effectiveness of telephone counselling and internet‐ and text‐message‐based support for smoking cessation: results from a randomized controlled trial
Skov-Ettrup, L. S., Dalum, P., Bech, M., & Tolstrup, J. S. (2016) · Addiction · doi:10.1111/add.13302 · Cited by 28
Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants
Hansen, W. B., & Scheier, L. M. (2019) · JMIR mhealth and uhealth · doi:10.2196/14655 · Cited by 28
“Apps have also been developed for asthma self-care management [19], smoking cessation [20], maternal and neonatal care [21], and stress reduction using mindfulness strategies [22], all of which include provision of biofeedback [23].”
Effects of simple active referrals of different intensities on smoking abstinence and smoking cessation services attendance: a cluster‐randomized clinical trial
Weng, X., Luk, T. T., Suen, Y. N., Wu, Y. S., Li, W. H. C., Cheung, Y. T. D., Kwong, A. C. S., Lai, V., Chan, S. S. C., Lam, T., et al. (2020) · Addiction · doi:10.1111/add.15029 · Cited by 28
Helping patients with ESRD and earlier stages of CKD to quit smoking
Formanek, P., Salisbury-Afshar, E., & Afshar, M. (2018) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2018.01.057 · Cited by 31
Estimates of effectiveness and reach for ‘return on investment’ modelling of smoking cessation interventions using data from England
West, R., Coyle, K., Owen, L., Coyle, D., Pokhrel, S., & On behalf of the EQUIPT Study Group (2017) · Addiction · doi:10.1111/add.14006 · Cited by 29
Digital Health Innovation: A Toolkit to Navigate From Concept to Clinical Testing
Marvel, F. A., Wang, J., & Martin, S. S. (2018) · JMIR Cardio · doi:10.2196/cardio.7586 · Cited by 27

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Mobile phone-based interventions for smoking cessation

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks