The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial
Open accessAbstract
Background Smoking cessation programmes delivered via mobile phone text messaging show increases in self-reported quitting in the short term. We assessed the effect of an automated smoking cessation programme delivered via mobile phone text messaging on continuous abstinence, which was biochemically verified at 6 months. Methods In this single-blind, randomised trial, undertaken in the UK, smokers willing to make a quit attempt were randomly allocated, using an independent telephone randomisation system, to a mobile phone text messaging smoking cessation programme (txt2stop), comprising motivational messages and behavioural-change support, or to a control group that received text messages unrelated to quitting. The system automatically generated intervention or control group texts according to the allocation. Outcome assessors were masked to treatment allocation. The primary outcome was self-reported continuous smoking abstinence, biochemically verified at 6 months. All analyses were by intention to treat. This study is registered, number ISRCTN 80978588. Findings We assessed 11,914 participants for eligibility. 5800 participants were randomised, of whom 2915 smokers were allocated to the txt2stop intervention and 2885 were allocated to the control group; eight were excluded because they were randomised more than once. Primary outcome data were available for 5524 (95%) participants. Biochemically verified continuous abstinence at 6 months was significantly increased in the txt2stop group (10·7% txt2stop vs 4·9% control, relative risk [RR] 2·20, 95% CI 1·80-2·68; p<0·0001). Similar results were obtained when participants that were lost to follow-up were treated as smokers (268 [9%] of 2911 txt2stop vs 124 [4%] of 2881 control [RR 2·14, 95% CI 1·74-2·63; p<0·0001]), and when they were excluded (268 [10%] of 2735 txt2stop vs 124 [4%] of 2789 control [2·20, 1·79-2·71; p<0·0001]). No significant heterogeneity was shown in any of the prespecified subgroups. Interpretation The txt2stop smoking cessation programme significantly improved smoking cessation rates at 6 months and should be considered for inclusion in smoking cessation services. Funding UK Medical Research Council, Primary Care Research Networks.
Overview
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
Cites
Statistics
Verification
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?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“In Kenya, text messages to health workers significantly improved their adherence to guidelines for malaria treatment.”
From Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here? (2012) · cites this paper as [50]
Experimental — accuracy not yet measuredIn the citing paper
“Digital health interventions (DHI) can be used to promote healthy behaviours (e.g. smoking cessation, 1, 2 healthy eating, 3 physical activity, 4 safer sex 5 or alcohol consumption 6)”
From Evaluating Digital Health Interventions (2016) · cites this paper as [1]
In the citing paper
“Multi-faceted mHealth interventions have been shown to increase smoking cessation in a high-income setting and adherence to HIV medication in a low-income setting [19, 20].”
In the citing paper
“In a large randomized controlled trial, the adapted and modified SMS text messaging program (txt2stop) doubled biochemically verified continuous abstinence in 6 months compared with unassisted quit attempts, that is, 268/2911 (9%) versus 124/2911 (4%), respectively, (P<.001) [16].”
From Assessing the Cross-Cultural Adaptation and Translation of a Text-Based Mobile Smoking Cessation Program in Samoa (TXTTaofiTapaa): Pilot Study (2018) · cites this paper as [16]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
Multiple Imputation for Nonresponse in Surveys.
Lynn, P. J., & Rubin, D. B. (1988) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348774 · Cited by 2,330
Increasing response rates to postal questionnaires: systematic review
Edwards, P. J., Roberts, I., Clarke, M. J., DiGuiseppi, C. G., Pratap, S., Wentz, R., & Kwan, I. (2002) · BMJ · doi:10.1136/bmj.324.7347.1183 · Cited by 1,915
Self-citationOutcome criteria in smoking cessation trials: proposal for a common standard
West, R., Hajek, P., Stead, L., & Stapleton, J. (2005) · Addiction · doi:10.1111/j.1360-0443.2004.00995.x · Cited by 1,285
Mobile phone-based interventions for smoking cessation
Whittaker, R., McRobbie, H., Bullen, C., Rodgers, A., & Gu, Y. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006611.pub4 · Cited by 1,079
Self-citationTelephone 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
Individual behavioural counselling for smoking cessation
Lancaster, T., & Stead, L. F. (2005) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001292.pub2 · Cited by 1,015
Comparison of tests used to distinguish smokers from nonsmokers
Jarvis, M. J., Tunstall-Pedoe, H., Feyerabend, C., Vesey, C., & Saloojee, Y. (1987) · American Journal of Public Health · doi:10.2105/ajph.77.11.1435 · Cited by 994
Missing Data in Clinical Studies
Molenberghs, G., & Kenward, M. G. (2007) · Wiley eBooks · doi:10.1002/9780470510445 · Cited by 984
Self-citationGroup behaviour therapy programmes for smoking cessation
Stead, L. F., Carroll, A. J., & Lancaster, T. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001007.pub3 · Cited by 825
Research works printed but not linked: 1
- Free, 2008, Txt2stop: a randomised controlled trial of mobile phone based smoking cessation support (ISRCTN 80978588), Lancet
Cited by
Sorted by citations
Items 101–200 of 734
Engagement Promotes Abstinence in a Web-based Cessation Intervention: Cohort Study
Richardson, A. K., Graham, A. L., Cobb, N. K., Xiao, H., Mushro, A., Abrams, D. B., & Vallone, D. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2277 · Cited by 100
Liao, Y., Wu, Q., Kelly, B. C., Zhang, F., Tang, Y., Wang, Q., Ren, H., Hao, Y., Yang, M., Cohen, J. E., et al. (2018) · PLoS Medicine · doi:10.1371/journal.pmed.1002713 · Cited by 100
An anxiety sensitivity reduction smoking-cessation program for Spanish-speaking smokers (Argentina)
Zvolensky, M. J., Bogiaizian, D., Salazar, P. L., Farris, S. G., & Bakhshaie, J. (2014) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2013.10.005 · Cited by 97
Mobile phone text messaging improves antihypertensive drug adherence in the community
Varleta, P. E., Mónica Acevedo, B., Akel, C., Salinas, C., Navarrete, C., García, A. C. G., Echegoyen, C., Rodriguez, D., Gramusset, L., León, S., et al. (2017) · Journal of Clinical Hypertension · doi:10.1111/jch.13098 · Cited by 102
Development and Outcomes of a Text Messaging Tobacco Cessation Intervention with Urban Adolescents
Mason, M. J., Campbell, L. F., Way, T., Keyser‐Marcus, L., Benotsch, E. G., Mennis, J. L., Zhang, J., King, L., May, J. C., & Stembridge, D. R. (2014) · Substance Abuse · doi:10.1080/08897077.2014.987946 · Cited by 95
Pedrana, A., Hellard, M., Gold, J., Ata, N., Chang, S., Howard, S., Asselin, J., Ilic, O., Batrouney, C., & Stoové, M. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2334 · Cited by 102
Ybarra, M. L., Holtrop, J. S., Prescott, T. L., Rahbar, M. H., & Strong, D. R. (2013) · Nicotine & Tobacco Research · doi:10.1093/ntr/nts339 · Cited by 94
Mobile Health Evaluation Methods: The Text4baby Case Study
Evans, W. D., Abroms, L. C., Poropatich, R. K., Nielsen, P. E., & Wallace, J. L. (2012) · Journal of Health Communication · doi:10.1080/10810730.2011.649157 · Cited by 94
Randomised controlled trial evaluation of Tweet2Quit: a social network quit-smoking intervention
Pechmann, C., Delucchi, K., Lakon, C. M., & Prochaska, J. J. (2016) · Tobacco Control · doi:10.1136/tobaccocontrol-2015-052768 · Cited by 94
Redfern, J., Santo, K., Coorey, G., Thakkar, J. B., Hackett, M. L., Thiagalingam, A., & Chow, C. K. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163929 · Cited by 97
Naughton, F., Jamison, J., Boase, S., Sloan, M., Gilbert, H., Prevost, A. T., Mason, D., Smith, S., Brimicombe, J., Evans, R., et al. (2014) · Addiction · doi:10.1111/add.12556 · Cited by 93
Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review
Elaheebocus, R., Weal, M. J., Morrison, L. G., & Yardley, L. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.8342 · Cited by 93
Kock, L. S., Brown, J., Hiscock, R., Tattan‐Birch, H., Smith, C. A., & Shahab, L. (2019) · The Lancet Public Health · doi:10.1016/s2468-2667(19)30220-8 · Cited by 94
Behavioral Interventions Associated with Smoking Cessation in the Treatment of Tobacco Use
Roberts, N., Kerr, S., & Smith, S. M. S. (2013) · Health Services Insights · doi:10.4137/hsi.s11092 · Cited by 92
Zwar, N. A., Mendelsohn, C. P., & RICHMOND, R. L. (2014) · BMJ · doi:10.1136/bmj.f7535 · Cited by 93
U txt WHEN? College students’ social contexts of text messaging
Harrison, M. A., & Gilmore, A. L. (2012) · The Social Science Journal · doi:10.1016/j.soscij.2012.05.003 · Cited by 89
Smyth, J. M., & Heron, K. E. (2016) · Wireless Health · doi:10.1109/wh.2016.7764561 · Cited by 94
Young adults: beloved by food and drink marketers and forgotten by public health?: Fig. 1:
Freeman, B., Kelly, B., Vandevijvere, S., & Baur, L. A. (2015) · Health Promotion International · doi:10.1093/heapro/dav081 · Cited by 88
Pechmann, C., Pan, L., Delucchi, K., Lakon, C. M., & Prochaska, J. J. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3772 · Cited by 88
Text messaging-based smoking cessation intervention: A narrative review
Kong, G., Ells, D. M., Camenga, D. R., & Krishnan‐Sarin, S. (2013) · Addictive Behaviors · doi:10.1016/j.addbeh.2013.11.024 · Cited by 87
Dose-Response Effects of the Text4baby Mobile Health Program: Randomized Controlled Trial
Evans, W., Nielsen, P. E., Szekely, D. R., Bihm, J. W., Murray, E. A., Snider, J., & Abroms, L. C. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3909 · Cited by 86
Vangeepuram, N., Mayer, V., Fei, K., Hanlen‐Rosado, E., Andrade, C., Wright, S., & Horowitz, C. R. (2018) · mHealth · doi:10.21037/mhealth.2018.07.02 · Cited by 85
Characterizing Periodic Messaging Interventions Across Health Behaviors and Media: Systematic Review
León, E. D., Fuentes, L. W., & Cohen, J. E. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2837 · Cited by 87
Text Messaging to Increase Readiness to Change Alcohol Use in College Students
Mason, M. J., Benotsch, E. G., Way, T., Kim, H., & Snipes, D. J. (2013) · The Journal of Primary Prevention · doi:10.1007/s10935-013-0329-9 · Cited by 84
Wang, M. P., Luk, T. T., Wu, Y., Li, W. H., Cheung, D. Y., Kwong, A. C., Lai, V., Chan, S. S., & Lam, T. H. (2019) · The Lancet Digital Health · doi:10.1016/s2589-7500(19)30082-2 · Cited by 78
Naughton, F., Cooper, S. E., Foster, K. A., Emery, J. L., Leonardi‐Bee, J., Sutton, S. R., Jones, M., USSHER, M. H., Whitemore, R., Leighton, M., et al. (2017) · Addiction · doi:10.1111/add.13802 · Cited by 83
Pellegrini, C. A., Hoffman, S. A., Collins, L. M., & Spring, B. J. (2014) · Contemporary Clinical Trials · doi:10.1016/j.cct.2014.05.007 · Cited by 88
Smith, C. E., Ngo, T. D., Gold, J., Edwards, P. J., Vannak, U., Sokhey, L., Machiyama, K., Slaymaker, E., Warnock, R., McCarthy, O., et al. (2015) · Bulletin of the World Health Organization · doi:10.2471/blt.15.160267 · Cited by 82
Self-citationAgyapong, V. I. O., McLoughlin, D. M., & Farren, C. K. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.05.058 · Cited by 81
Bock, B. C., Heron, K. E., Jennings, E., Morrow, K. M., Cobb, V., Magee, J. C., Fava, J. L., Deutsch, C., & Foster, R. (2013) · JMIR mhealth and uhealth · doi:10.2196/mhealth.2522 · Cited by 79
Mixed Method Evaluation of a Passive mHealth Sexual Information Texting Service in Uganda
Jamison, J., Karlan, D., & Raffler, P. (2013) · National Bureau of Economic Research · doi:10.3386/w19107 · Cited by 80
Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews
Tang, J. C. H., Abraham, C., Greaves, C. J., & Yates, T. E. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2857 · Cited by 83
Saleh, S. S., Farah, A., Dimassi, H. I., Arnaout, N. E., Constantin, J., Osman, M. H., Morr, C. E., & Alameddine, M. S. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.8146 · Cited by 76
eHealth interventions for people with chronic kidney disease
Stevenson, J. K., Campbell, Z. C., Webster, A. C., Chow, C. K., Campbell, K. L., & Lee, V. W. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012379 · Cited by 77
Goldenhersch, E., Thrul, J., Ungaretti, J., Rosencovich, N., Waitman, C., & Ceberio, M. R. (2020) · Journal of Medical Internet Research · doi:10.2196/17571 · Cited by 76
Bertz, J. W., Epstein, D. H., & Preston, K. L. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.11.027 · Cited by 76
Smoking Cessation, Version 3.2022, NCCN Clinical Practice Guidelines in Oncology
Shields, P. G., Bierut, L. J., Arenberg, D. A., Balis, D. S., Cinciripini, P. M., Davis, J. M., Edmondson, D. M., Feliciano, J., Hitsman, B. L., Hudmon, K. S., et al. (2023) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2023.0013 · Cited by 83
Development testing of mobile health interventions for cancer patient self-management: A review
Darlow, S. D., & Wen, K. (2015) · Health Informatics Journal · doi:10.1177/1460458215577994 · Cited by 75
Nanditha, A., Thomson, H., Susairaj, P., Srivanichakorn, W., Oliver, N. S., Godsland, I. F., Majeed, A., Darzi, A. W., Satheesh, K., Simon, M., et al. (2020) · Diabetologia · doi:10.1007/s00125-019-05061-y · Cited by 71
Nhavoto, J. A., & Grönlund, Å. (2014) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3216 · Cited by 84
Kelly, J., Gooding, P., Pratt, D., Ainsworth, J., Welford, M., & Tarrier, N. (2012) · Journal of Mental Health · doi:10.3109/09638237.2011.638001 · Cited by 73
Houston, T. K., Sadasivam, R. S., Allison, J. J., Ash, A. S., Ray, M. N., English, T. M., Hogan, T. P., & Ford, D. E. (2015) · Implementation Science · doi:10.1186/s13012-015-0336-8 · Cited by 73
Population‐level effects of automated smoking cessation help programs: a randomized controlled trial
Borland, R., Balmford, J., & Benda, P. J. (2012) · Addiction · doi:10.1111/j.1360-0443.2012.04091.x · Cited by 72
Tofighi, B., Nicholson, J., McNeely, J., Muench, F. J., & Lee, J. D. (2017) · Drug and Alcohol Review · doi:10.1111/dar.12535 · Cited by 73
Naughton, F., Jamison, J., & Sutton, S. R. (2013) · Health Education Research · doi:10.1093/her/cyt057 · Cited by 68
Peiris, D., Wright, L., News, M., Rogers, K. D., Redfern, J., Chow, C. K., & Thomas, D. (2019) · JMIR mhealth and uhealth · doi:10.2196/12745 · Cited by 69
Matthews, L., Pugmire, J., Moore, L., Kelson, M. J., McConnachie, A., McIntosh, E., Morgan‐Trimmer, S., Murphy, S., Hughes, K., Coulman, E., et al. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-017159 · Cited by 69
A mHealth cardiac rehabilitation exercise intervention: findings from content development studies
Dale, L. P., Maddison, R., Whittaker, R., Stewart, R., Kerr, A., Jiang, Y., Kira, G., Carter, K., & Dalleck, L. C. (2012) · BMC Cardiovascular Disorders · doi:10.1186/1471-2261-12-36 · Cited by 68
Self-citationRedfern, J., Usherwood, T. P., Harris, M., Rodgers, A., Hayman, N. E., Panaretto, K. S., Chow, C. K., Lau, A. Y. S., Neubeck, L., Coorey, G., et al. (2014) · BMJ Open · doi:10.1136/bmjopen-2013-004523 · Cited by 67
Self-citationEffect of text message follow-up on patient's self-reported level of pain and anxiety
Keith, D. J., Rinchuse, D. J., Kennedy, M. S., & Zullo, T. G. (2012) · The Angle Orthodontist · doi:10.2319/091812-742.1 · Cited by 67
Naughton, F. (2016) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntw143 · Cited by 71
Haug, S., Meyer, C., Dymalski, A., Lippke, S., & John, U. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-51 · Cited by 66
Smoking cessation in patients with respiratory disease: existing treatments and future directions
Rigotti, N. A. (2013) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(13)70063-8 · Cited by 66
Recio-Rodriguez, J. I., Martín-Cantera, C., González-Viejo, N., Gómez-Arranz, A., Arietaleanizbeaskoa, M. S., Schmolling-Guinovart, Y., Maderuelo-Fernández, J. Á., Pérez-Arechaederra, D., Rodríguez‐Sánchez, E., Gómez-Marcos, M. Á., et al. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-254 · Cited by 69
Which eHealth interventions are most effective for smoking cessation? A systematic review
Do, H. P., Tran, B. X., Pham, Q. T. L., Nguyen, L. H., Tran, T. T., Latkin, C. A., Dunne, M. P., & Baker, P. (2018) · Patient Preference and Adherence · doi:10.2147/ppa.s169397 · Cited by 65
Integrating technology into cognitive behavior therapy for adolescent depression: a pilot study
Kobak, K. A., Mundt, J. C., & Kennard, B. (2015) · Annals of General Psychiatry · doi:10.1186/s12991-015-0077-8 · Cited by 63
Menon, V., Rajan, T. M., & Sarkar, S. (2017) · Indian Journal of Psychological Medicine · doi:10.4103/0253-7176.198956 · Cited by 69
Simpson, S. A., Matthews, L., Pugmire, J., McConnachie, A., McIntosh, E., Coulman, E., Hughes, K., Kelson, M. J., Morgan‐Trimmer, S., Murphy, S., et al. (2020) · Public Health Research · doi:10.3310/phr08030 · Cited by 64
Smartphone as a Personal, Pervasive Health Informatics Services Platform: Literature Review
Wac, K. (2012) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1639436 · Cited by 68
A Randomized Trial of Text Messaging for Smoking Cessation in Pregnant Women
Abroms, L. C., Johnson, P. R., Leavitt, L. E., Cleary, S. D., Bushar, J. A., Brandon, T. H., & Chiang, S. C. (2017) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2017.08.002 · Cited by 62
Health Information Technology in Screening and Treatment of Child Obesity: A Systematic Review
Smith, A. J. B., Skow, Á., Bodurtha, J. N., & Kinra, S. (2013) · PEDIATRICS · doi:10.1542/peds.2012-2011 · Cited by 63
From Foucault to Freire Through Facebook
Bull, S. S., & Ezeanochie, N. (2015) · Health Education & Behavior · doi:10.1177/1090198115605310 · Cited by 60
Shah, R., Watson, J., & Free, C. (2019) · BMC Public Health · doi:10.1186/s12889-019-6899-6 · Cited by 63
Self-citationRobroek, S. J., Polinder, S., Bredt, F. J., & Alex Burdorf, A. (2012) · Health Education Research · doi:10.1093/her/cys015 · Cited by 63
Cole-Lewis, H. J., Augustson, E. M., Sanders, A. E., Schwarz, M., Geng, Y., Coa, K. I., & Hunt, Y. M. (2016) · Tobacco Control · doi:10.1136/tobaccocontrol-2016-052945 · Cited by 58
Baskerville, N. B., Struik, L. L., Hammond, D., Guindon, G. E., Norman, C. D., Whittaker, R., Burns, C. M., Grindrod, K. A., & Brown, K. S. (2015) · JMIR Research Protocols · doi:10.2196/resprot.3823 · Cited by 49
Self-citationCoughlin, L. N., Nahum-Shani, I. B., Philyaw-Kotov, M. L., Bonar, E. E., Rabbi, M., Klasnja, P., Murphy, S. A., & Walton, M. A. (2021) · JMIR mhealth and uhealth · doi:10.2196/24424 · Cited by 62
Text Messaging for Addiction: A Review
Keoleian, V., Polcin, D. L., & Galloway, G. P. (2015) · Journal of Psychoactive Drugs · doi:10.1080/02791072.2015.1009200 · Cited by 60
Remote Methods for Conducting Tobacco-Focused Clinical Trials
Dahne, J., Tomko, R. L., McClure, E. A., Obeid, J. S., & Carpenter, M. J. (2020) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntaa105 · Cited by 57
Hoeppner, B. B., Hoeppner, S. S., & Abroms, L. C. (2016) · Addiction · doi:10.1111/add.13685 · Cited by 57
Youl, P. H., Soyer, H. P., Baade, P. D., Marshall, A. L., Finch, L., & Janda, M. (2015) · Preventive Medicine · doi:10.1016/j.ypmed.2014.12.009 · Cited by 56
Paradis, S., Roussel, J., Bosson, J., & Kern, J. (2022) · JMIR Formative Research · doi:10.2196/34882 · Cited by 54
Whitford, H., Donnan, P. T., Symon, A., Kellett, G., Monteith-Hodge, E., Rauchhaus, P., & Wyatt, J. C. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000785 · Cited by 55
Digital health revolution: perfect storm or perfect opportunity for pharmaceutical R&D?
Hird, N., Ghosh, S., & Kitano, H. (2016) · Drug Discovery Today · doi:10.1016/j.drudis.2016.01.010 · Cited by 54
Morrison, D., Mair, F. S., Yardley, L., Kirby, S. E., & Thomas, M. D. (2016) · Chronic Respiratory Disease · doi:10.1177/1479972316660977 · Cited by 54
Cartujano‐Barrera, F., Cox, L. S., Arana‐Chicas, E., Ramírez, M., Perales‐Puchalt, J., Valera, P. A., Díaz, F. J., Catley, D., Ellerbeck, E. F., & Cupertino, A. P. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.00269 · Cited by 55
Bardus, M., Blake, H., Lloyd, S., & Suzanne Suggs, L. (2014) · International Journal of Workplace Health Management · doi:10.1108/ijwhm-11-2013-0040 · Cited by 54
The cloud paradigm applied to e-Health
Vilaplana, J., Solsona, F., Abella, F., Filgueira, R., & Rius, J. (2013) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-13-35 · Cited by 54
Chan, S. S. C., Wong, D., Cheung, Y. T. D., Leung, D. Y. P., Lau, L., Lai, V., & Lam, T.-H. (2015) · Health Education Research · doi:10.1093/her/cyv023 · Cited by 54
Free, C., McCarthy, O., French, R., Wellings, K., Michie, S., Roberts, I., Devries, K. M., Rathod, S. D., Bailey, J., Syred, J., et al. (2016) · Health Technology Assessment · doi:10.3310/hta20570 · Cited by 55
Self-citationPersonal health technology: A new era in cardiovascular disease prevention
Franklin, N. C., Lavie, C. J., & Arena, R. A. (2015) · Postgraduate Medicine · doi:10.1080/00325481.2015.1015396 · Cited by 55
‘Someone batting in my corner’: experiences of smoking-cessation support via text message
Douglas, N., & Free, C. (2013) · British Journal of General Practice · doi:10.3399/bjgp13x674459 · Cited by 53
Self-citationYbarra, M. L., Holtrop, J. S., Prescott, T. L., & Strong, D. R. (2014) · Patient Education and Counseling · doi:10.1016/j.pec.2014.07.009 · Cited by 53
A socio-cognitive inquiry of excessive mobile phone use
Pourrazavi, S., Allahverdipour, H., Jafarabadi, M. A., & Matlabi, H. (2014) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2014.02.009 · Cited by 54
Improving smoking cessation approaches at the individual level
Aveyard, P. N., & Raw, M. (2012) · Tobacco Control · doi:10.1136/tobaccocontrol-2011-050348 · Cited by 54
User Preferences for a Text Message–Based Smoking Cessation Intervention
Bock, B. C., Heron, K. E., Jennings, E., Magee, J. C., & Morrow, K. M. (2012) · Health Education & Behavior · doi:10.1177/1090198112463020 · Cited by 52
Effects of a Smartphone Application on Breast Self-Examination: A Feasibility Study
Heo, J., Chun, M., Lee, K., Oh, Y.-T., Noh, O. K., & Park, R. W. (2013) · Healthcare Informatics Research · doi:10.4258/hir.2013.19.4.250 · Cited by 52
McClure, J. B., Hartzler, A. L., & Catz, S. L. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5181 · Cited by 52
Interest in Use of Technology for Healthcare Among Veterans Receiving Treatment for Mental Health
Miller, C. J., McInnes, D. K., Stolzmann, K. L., & Bauer, M. S. (2016) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2015.0190 · Cited by 52
Bock, B. C., Rosen, R. K., Barnett, N. P., Thind, H. K., Walaska, K., Foster, R., Deutsch, C., & Traficante, R. M. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3779 · Cited by 51
López, E. V., Flores‐Mateo, G., Molina-Gómez, J.-D., Rey‐Reñones, C., Uriarte, M. L. B., Duch, J., & Valverde, A. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-704 · Cited by 51
Boland, V. C., Stockings, E., Mattick, R. P., McRobbie, H. J., Brown, J., & Courtney, R. J. (2016) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntw391 · Cited by 51
Considerations for Community-Based mHealth Initiatives: Insights From Three Beacon Communities
Abebe, N. A., Capozza, K. L., Des Jardins, T. R., Kulick, D. A., Rein, A. L., Schachter, A. A., & Turske, S. A. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2803 · Cited by 46
Bobrow, K., Farmer, A., Cishe, N., Nwagi, N., Namane, M., Brennan, T. P., Springer, D., Tarassenko, L., & Levitt, N. (2018) · BMC Health Services Research · doi:10.1186/s12913-017-2808-9 · Cited by 46
Solving the problem of non‐attendance in substance abuse services
Milward, J., Lynskey, M. T., & Strang, J. (2014) · Drug and Alcohol Review · doi:10.1111/dar.12194 · Cited by 51
Dale, L. P., Whittaker, R., Jiang, Y., Stewart, R., Rolleston, A. K., & Maddison, R. (2014) · Trials · doi:10.1186/1745-6215-15-71 · Cited by 52
Self-citationLuk, T. T., Wong, S. W., Lee, J. J., Chan, S. S.-C., Lam, T. H., & Wang, M. P. (2019) · JMIR mHealth and uHealth · doi:10.2196/11954 · Cited by 46
“Some SMS text messaging programs personalized the intervention contents according to the smokers’ characteristics and allowed 2-way communication wherein a recipient can text keywords, such as “crave,” to receive on-demand support [8,9].”
A Text Messaging-Based Smoking Cessation Program for Adult Smokers: Randomized Controlled Trial
Ybarra, M. L., Bösi, A. T. B., Korchmaros, J. D., & Emri, S. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2231 · Cited by 52
Cadham, C. J., Jayasekera, J. C., Advani, S., Fallon, S., Stephens, J. L., Braithwaite, D., Jeon, J., Cao, P., Levy, D. T., Meza, R., et al. (2019) · Lung Cancer · doi:10.1016/j.lungcan.2019.06.024 · Cited by 49
Quit4baby: Results From a Pilot Test of a Mobile Smoking Cessation Program for Pregnant Women
Abroms, L. C., Johnson, P. R., Heminger, C. L., Alstyne, J. M. V., Leavitt, L. E., Schindler-Ruwisch, J. M., & Bushar, J. A. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3846 · Cited by 48
Metadata
- Authors
- Free, C., Knight, R., Robertson, S., Whittaker, R., Edwards, P., Zhou, W., Rodgers, A., Cairns, J., Kenward, M. G., & Roberts, I.
- Affiliations
- London School of Hygiene & Tropical Medicine (GB)
- University of Auckland (NZ)
- The University of Sydney (AU)
- Corresponding author
- Free, Caroline
- ORCID
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 378
- Issue
- 9785
- Pages
- 49-55
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC3143315
- OpenAlex
- W2102316523
- Cited by
- 728
- References
- 28
- Citations by year
- 2026: 10 · 2025: 17 · 2024: 20 · 2023: 31 · 2022: 34 · 2021: 45 · 2020: 39 · 2019: 53 · 2018: 50 · 2017: 70 · 2016: 74 · 2015: 72 · 2014: 66 · 2013: 86 · 2012: 54
- FWCI
- 43.94
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The Lancet (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- 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
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- smoking cessation, text messaging, automated intervention, continuous abstinence, motivational messages, quit attempts, digital health interventions, loss to follow-up, subgroup analysis, tobacco control, smoking cessation services, smoking cessation interventions
- MeSH terms
- Adolescent, Adult, Behavior Therapy, Educational Status, Employment, Female, Humans, Male, Motivation, Single-Blind Method, Smoking Cessation, Cell Phone, Young Adult
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