Web-Based Smoking-Cessation Programs
Open accessAbstract
Background Initial trials of web-based smoking-cessation programs have generally been promising. The active components of these programs, however, are not well understood. This study aimed to (1) identify active psychosocial and communication components of a web-based smoking-cessation intervention and (2) examine the impact of increasing the tailoring depth on smoking cessation.Design Randomized fractional factorial design.Setting Two HMOs: Group Health in Washington State and Henry Ford Health System in Michigan.Participants 1866 smokers.Intervention A web-based smoking-cessation program plus nicotine patch. Five components of the intervention were randomized using a fractional factorial design: high- versus low-depth tailored success story, outcome expectation, and efficacy expectation messages; high- versus low-personalized source; and multiple versus single exposure to the intervention components.Measurements Primary outcome was 7 day point-prevalence abstinence at the 6-month follow-up.Findings Abstinence was most influenced by high-depth tailored success stories and a high-personalized message source. The cumulative assignment of the three tailoring depth factors also resulted in increasing the rates of 6-month cessation, demonstrating an effect of tailoring depth.Conclusions The study identified relevant components of smoking-cessation interventions that should be generalizable to other cessation interventions. The study also demonstrated the importance of higher-depth tailoring in smoking-cessation programs. Finally, the use of a novel fractional factorial design allowed efficient examination of the study aims. The rapidly changing interfaces, software, and capabilities of eHealth are likely to require such dynamic experimental approaches to intervention discovery.
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
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?
Experimental approaches for optimisation include full or fractional factorial experiments, sequential multiple-assignment randomised trials, and system identification techniques.
“The experimental approaches used for optimization include full or fractional factorial experiments 38, 39, the sequential multiple-assignment randomized trial (SMART), 40 and system identification techniques 41, 42.”
From Evaluating Digital Health Interventions (2016) · cites this paper as [39]
Factorial designs may serve as an appealing substitute for observational studies or RCTs when the aim is to estimate separate effects of multiple intervention components.
“Recently, behavioral scientists have noticed that a factorial experiment can be an attractive alternative to an observational study or an RCT (e.g., Collins et al. 2011; Strecher et al. 2008), when the objective is to estimate the individual effects of several different aspects of an intervention.”
From Translational research in South Africa: evaluating implementation quality using a factorial design (2012) · cites this paper as Strecher et al. 2008
It is possible to obtain funding for MOST and similar approaches from the National Institutes of Health.
“As our project and a few others (e.g. (55)) have demonstrated, it is possible to obtain funding for MOST and similar approaches from the National Institutes of Health.”
From The Multiphase Optimization Strategy for Engineering Effective Tobacco Use Interventions (2011) · cites this paper as [55]
There are viable models ranging from clinic staff merely referring to a state quitline or an eHealth intervention, to a chronic care model approach to disease management.
“The possibilities are legion with viable models ranging from clinic staff merely referring to a state quitline or an eHealth intervention (54, 55), to a chronic care model approach to disease management in which staff take primary responsibility for assessment, intervening, and patient tracking (7).”
From The Multiphase Optimization Strategy for Engineering Effective Tobacco Use Interventions (2011) · cites this paper as [55]
Attempts to focus on interactive technological elements of an intervention have reported positive correlations between interactive feature inclusion and outcomes.
“Attempts to focus more directly on interactive technological elements of an intervention that may facilitate engagement have reported positive correlations between interactive feature inclusion and outcomes [21-24].”
From Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data (2014) · cites this paper as [24]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Hao (2015) · doi:10.1002/14651858 · Cited by 11,321 · see citing works
Health Promotion by Social Cognitive Means
Bandura, A. (2004) · Health Education & Behavior · doi:10.1177/1090198104263660 · Cited by 7,238 · see citing works
Social Learning Theory and the Health Belief Model
Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1988) · Health Education Quarterly · doi:10.1177/109019818801500203 · Cited by 5,564 · see citing works
Self-citationThe role of transportation in the persuasiveness of public narratives.
Green, M. C., & Brock, T. C. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.79.5.701 · Cited by 4,861 · see citing works
Statistics for experimenters. An introduction to design, data analysis, and model building.
Box, G. E. P., Hunter, W. G., & Hunter, J. S. (1978) · Cited by 4,021 · see citing works
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 2,514 · see citing works
(2017) · doi:10.5040/9798400682018.ch-003 · Cited by 2,247 · see citing works
Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building.
Pearce, S. C., Box, G. E. P., Hunter, W. G., & Hunter, J. S. (1979) · Biometrics · doi:10.2307/2530361 · Cited by 2,003 · see citing works
The validity of self-reported smoking: a review and meta-analysis.
Patrick, D. L., Cheadle, A. D., Thompson, D. C., Diehr, P. H., Koepsell, T. D., & Kinne, S. (1994) · American Journal of Public Health · doi:10.2105/ajph.84.7.1086 · Cited by 1,737 · see citing works
Collins, L. M., Murphy, S. A., & Strecher, V. (2007) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.01.022 · Cited by 1,082 · see citing works
Self-citationKilpatrick, F. P. (1954) · Psychological Bulletin · doi:10.1037/h0050834 · Cited by 967 · see citing works
Stalking the elusive “vividness” effect
Taylor, S. E., & Thompson, S. C. (1982) · Psychological Review · doi:10.1037/0033-295x.89.2.155 · Cited by 913 · see citing works
Assessing outcome in smoking cessation studies.
Velicer, W. F., Prochaska, J. O., Rossi, J. S., & Snow, M. G. (1992) · Psychological Bulletin · doi:10.1037/0033-2909.111.1.23 · Cited by 828 · see citing works
Self-help interventions for smoking cessation.
Lancaster, T., & Stead, L. (2005) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001118.pub2 · Cited by 526 · see citing works
A strategy for optimizing and evaluating behavioral interventions
Collins, L. M., Murphy, S. A., Nair, V. N., & Strecher, V. J. (2005) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm3001_8 · Cited by 492 · see citing works
Self-citationStrecher, V. J., Shiffman, S. M., & West, R. (2005) · Addiction · doi:10.1111/j.1360-0443.2005.01093.x · Cited by 308 · see citing works
Self-citationComputer-tailored smoking cessation materials: A review and discussion
Strecher, V. J. (1999) · Patient Education and Counseling · doi:10.1016/s0738-3991(98)00128-1 · Cited by 287 · see citing works
Self-citationA randomised control study of a fully automated internet based smoking cessation programme
Swartz, L. H. G., Noell, J. W., Schroeder, S., & Ary, D. V. (2006) · Tobacco Control · doi:10.1136/tc.2003.006189 · Cited by 228 · see citing works
Etter, J. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.1.e2 · Cited by 211 · see citing works
(2012) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_5254 · Cited by 168 · see citing works
Managed care members talk about trust
Goold, S. D., & Klipp, G. (2002) · Social Science & Medicine · doi:10.1016/s0277-9536(01)00070-3 · Cited by 93 · see citing works
Challenges and future directions for tailored communication research
Abrams, D. B., Mills, S. L., & Bulger, D. W. (1999) · Annals of Behavioral Medicine · doi:10.1007/bf02895961 · Cited by 87 · see citing works
American Cancer Society's QuitLink: Randomized trial of Internet assistance
Pike, K. J., Rabius, V. A., McAlister, A. L., & Geiger, A. (2007) · Nicotine & Tobacco Research · doi:10.1080/14622200701188877 · Cited by 80 · see citing works
Strecher, V. J., Becker, M. H., Clark, N. M., & Prasada-Rao, P. (1989) · Journal of General Internal Medicine · doi:10.1007/bf02602359 · Cited by 72 · see citing works
Self-citationThe potential variances of tailoring in health behavior interventions
Rakowski, W. (1999) · Annals of Behavioral Medicine · doi:10.1007/bf02895959 · Cited by 70 · see citing works
McClure, J. B., Greene, S. M., Wiese, C. J., Johnson, K. E., Alexander, G., & Strecher, V. J. (2006) · Journal of Medical Internet Research · doi:10.2196/jmir.8.3.e14 · Cited by 55 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [12]Prochaska JO. A transtheoretical model of behavior change: implications for diet interventions. In: Henderson M, Bowen DJ, DeRoss KK, editors. Promoting dietary change in communities: applying existing models of dietary change to population-based interventions. Seattle WA: Fred Hutchinson Cancer Research Center; 1992. [Google Scholar]
Cited by
Sorted by citations
Webb, T. L., Joseph, J., Yardley, L., & Michie, S. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1376 · Cited by 2,517 · see citing works
A Systematic Review of the Impact of Adherence on the Effectiveness of e-Therapies
Donkin, L., Christensen, H., Naismith, S. L., Neal, B., Hickie, I. B., & Glozier, N. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1772 · Cited by 876 · see citing works
Evaluating Digital Health Interventions
Murray, E., Hekler, E. B., Andersson, G., Collins, L. M., Doherty, A., Hollis, C., Rivera, D. E., West, R., & Wyatt, J. C. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.06.008 · Cited by 847 · see citing works
Self-citationMohr, D. C., Burns, M. N., Schueller, S. M., Clarke, G., & Klinkman, M. (2013) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2013.03.008 · Cited by 693 · see citing works
“) [24,69]; adding human support and adherence promotion via phone, e-mail or other media [4]; using incentives [70,71] and making resources more engaging through gaming elements [72].”
A meta-analysis of web-delivered tailored health behavior change interventions
Lustria, M. L. A., Noar, S. M., Cortese, J., Van Stee, S. K., Glueckauf, R. L., & Lee, J. (2013) · Journal of Health Communication · doi:10.1080/10810730.2013.768727 · Cited by 689 · see citing works
Scaling Up mHealth: Where Is the Evidence?
Tomlinson, M., Rotheram-Borus, M. J., Swartz, L., & Tsai, A. C. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001382 · Cited by 673 · see citing works
Internet-based interventions for smoking cessation
Taylor, G. M. J., Dalili, M. N., Semwal, M., Čivljak, M., Sheikh, A., & Car, J. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007078.pub5 · Cited by 651 · see citing works
Brouwer, W., Kroeze, W., Crutzen, R., de Nooijer, J., de Vries, N. K., Brug, J., & Oenema, A. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1639 · Cited by 455 · see citing works
Self-help interventions for smoking cessation.
Lancaster, T., & Stead, L. (2005) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001118.pub2 · Cited by 526 · see citing works
Collins, L. M., Dziak, J. J., & Li, R. (2009) · Psychological Methods · doi:10.1037/a0015826 · Cited by 431 · see citing works
Self-citationInvesting in the Health and Well-Being of Young Adults
Stroud, C., Walker, L. R., Davis, M., & Irwin, C. E. (2015) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2014.11.012 · Cited by 450 · see citing works
The Most Common Barriers to Glaucoma Medication Adherence
Newman-Casey, P. A., Robin, A. L., Blachley, T. S., Farris, K. B., Heisler, M., Resnicow, K., & Lee, P. P. (2015) · Ophthalmology · doi:10.1016/j.ophtha.2015.03.026 · Cited by 445 · see citing works
Collins, L. M., Dziak, J. J., Kugler, K. C., & Trail, J. B. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.06.021 · Cited by 335 · see citing works
Self-citationThe Multiphase Optimization Strategy for Engineering Effective Tobacco Use Interventions
Collins, L. M., Baker, T. B., Mermelstein, R. J., Piper, M. E., Jorenby, D. E., Smith, S. S., Christiansen, B. A., Schlam, T. R., Cook, J. W., & Fiore, M. C. (2011) · Annals of Behavioral Medicine · doi:10.1007/s12160-010-9253-x · Cited by 300 · see citing works
Self-citationStrecher, V., McClure, J., Alexander, G., Chakraborty, B., Nair, V., Konkel, J., Greene, S., Couper, M., Carlier, C., Wiese, C., et al. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.1002 · Cited by 264 · see citing works
Self-citationNew Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes
Zhao, Y.-Q., Zeng, D., Laber, E. B., & Kosorok, M. R. (2014) · Journal of the American Statistical Association · doi:10.1080/01621459.2014.937488 · Cited by 263 · see citing works
Evolving the future: Toward a science of intentional change
Wilson, D. S., Hayes, S. C., Biglan, A., & Embry, D. D. (2014) · Behavioral and Brain Sciences · doi:10.1017/s0140525x13001593 · Cited by 255 · see citing works
Using evidence-based internet interventions to reduce health disparities worldwide.
Muñoz, R. F. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1463 · Cited by 242 · see citing works
Neural activity during health messaging predicts reductions in smoking above and beyond self-report.
Falk, E. B., Berkman, E. T., Whalen, D., & Lieberman, M. D. (2011) · Health Psychology · doi:10.1037/a0022259 · Cited by 255 · see citing works
A Review and Conceptual Framework for Understanding Personalized Matching Effects in Persuasion
Teeny, J. D., Siev, J. J., Briñol, P., & Petty, R. E. (2020) · Journal of Consumer Psychology · doi:10.1002/jcpy.1198 · Cited by 259 · see citing works
Internet-based interventions for smoking cessation
Civljak, M., Stead, L. F., Hartmann-Boyce, J., Sheikh, A., & Car, J. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007078.pub4 · Cited by 249 · see citing works
Effects of Web- and Computer-Based Smoking Cessation Programs
Myung, S., McDonnell, D. D., Kazinets, G., Seo, H. G., & Moskowitz, J. M. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.109 · Cited by 237 · see citing works
The Role of Message Tailoring in the Development of Persuasive Health Communication Messages
Noar, S. M., Harrington, N. G., & Aldrich, R. S. (2009) · Annals of the International Communication Association · doi:10.1080/23808985.2009.11679085 · Cited by 224 · see citing works
Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use
Glasgow, R. E., Christiansen, S. M., Kurz, D., King, D. K., Woolley, T., Faber, A. J., Estabrooks, P. A., Strycker, L., Toobert, D., & Dickman, J. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1391 · Cited by 219 · see citing works
Methodological issues in research on web-based behavioral interventions
Danaher, B. G., & Seeley, J. R. (2009) · Annals of Behavioral Medicine · doi:10.1007/s12160-009-9129-0 · Cited by 193 · see citing works
Self-related neural response to tailored smoking-cessation messages predicts quitting
Chua, H. F., Ho, S.-H. S., Jasinska, A. J., Polk, T. A., Welsh, R. C., Liberzon, I., & Strecher, V. J. (2011) · Nature Neuroscience · doi:10.1038/nn.2761 · Cited by 185 · see citing works
Self-citationSyndemics and Health Disparities: A Methodological Note
Tsai, A. C., & Venkataramani, A. S. (2016) · AIDS and Behavior · doi:10.1007/s10461-015-1260-2 · Cited by 176 · see citing works
New Methods for Tobacco Dependence Treatment Research
Baker, T. B., Mermelstein, R. J., Collins, L. M., Piper, M. E., Jorenby, D. E., Smith, S. S., Christiansen, B. A., Schlam, T. R., Cook, J. W., & Fiore, M. C. (2010) · Annals of Behavioral Medicine · doi:10.1007/s12160-010-9252-y · Cited by 169 · see citing works
Self-citationInference for non-regular parameters in optimal dynamic treatment regimes
Chakraborty, B., Murphy, S. A., & Strecher, V. J. (2009) · Statistical Methods in Medical Research · doi:10.1177/0962280209105013 · Cited by 170 · see citing works
Self-citationCollins, L. M., Kugler, K. C., & Gwadz, M. V. (2015) · AIDS and Behavior · doi:10.1007/s10461-015-1145-4 · Cited by 162 · see citing works
Self-citationPrint-based self-help interventions for smoking cessation
Hartmann‐Boyce, J., Lancaster, T., & Stead, L. F. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001118.pub3 · Cited by 154 · see citing works
Moller, A. C., Merchant, G., Conroy, D. E., West, R., Hekler, E., Kugler, K. C., & Michie, S. (2017) · Journal of Behavioral Medicine · doi:10.1007/s10865-016-9818-7 · Cited by 151 · see citing works
Shaffer, V. A., & Zikmund-Fisher, B. J. (2013) · Medical Decision Making · doi:10.1177/0272989x12463266 · Cited by 167 · see citing works
Tailored Health Communication to Change Lifestyle Behaviors
Noar, S. M., Grant Harrington, N., Van Stee, S. K., & Shemanski Aldrich, R. (2011) · American Journal of Lifestyle Medicine · doi:10.1177/1559827610387255 · Cited by 183 · see citing works
Morrison, L. G. (2015) · DIGITAL HEALTH · doi:10.1177/2055207615595335 · Cited by 116 · see citing works
Hutton, H. E., Wilson, L. M., Apelberg, B. J., Avila Tang, E., Odelola, O., Bass, E. B., & Chander, G. (2011) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntq252 · Cited by 132 · see citing works
Burton, S. H., Tanner, K., Giraud-Carrier, C. G., West, J. H., & Barnes, M. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2121 · Cited by 121 · see citing works
Systematic review and meta-analysis of internet interventions for smoking cessation among adults
Graham, A., Carpenter, K., Cha, S., Cole, S., Jacobs, M., Raskob, M., & Cole-Lewis, H. (2016) · Substance Abuse and Rehabilitation · doi:10.2147/sar.s101660 · Cited by 114 · see citing works
Collins, L. M., Trail, J. B., Kugler, K. C., Baker, T. B., Piper, M. E., & Mermelstein, R. J. (2014) · Translational Behavioral Medicine · doi:10.1007/s13142-013-0239-7 · Cited by 119 · see citing works
Self-citationInternet health information seeking is a team sport: Analysis of the Pew Internet Survey
Sadasivam, R. S., Kinney, R. L., Lemon, S. C., Shimada, S. L., Allison, J. J., & Houston, T. K. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.09.008 · Cited by 119 · see citing works
Stanton, A. L., Luecken, L. J., MacKinnon, D. P., & Thompson, E. H. (2013) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0028833 · Cited by 114 · see citing works
Wang, L., Rotnitzky, A., Lin, X., Millikan, R. E., & Thall, P. F. (2012) · Journal of the American Statistical Association · doi:10.1080/01621459.2011.641416 · Cited by 108 · see citing works
“highest estimated overall success rates, is more consistent with Thall et al. (2007), who used all patients in their first-line analysis based on the success/failure endpoint and concluded that the best initial chemo is TEC, while the worst initial chemo is CVD.”
ResultSchwartz, S. M., Wildenhaus, K. J., Bucher, A., & Byrd, B. (2020) · Frontiers in Computer Science · doi:10.3389/fcomp.2020.00031 · Cited by 118 · see citing works
Kelders, S. M., Bohlmeijer, E. T., Pots, W. T. M., & van Gemert-Pijnen, J. E. W. C. (2015) · Behaviour Research and Therapy · doi:10.1016/j.brat.2015.06.014 · Cited by 105 · see citing works
Developing multicomponent interventions using fractional factorial designs
Chakraborty, B., Collins, L. M., Strecher, V. J., & Murphy, S. A. (2009) · Statistics in Medicine · doi:10.1002/sim.3643 · Cited by 107 · see citing works
Self-citationInternet-based interventions for smoking cessation
Čivljak, M., Sheikh, A., Stead, L. F., & Car, J. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007078.pub3 · Cited by 108 · see citing works
A Randomized Trial of Internet and Telephone Treatment for Smoking Cessation
Graham, A. L., Cobb, N. K., Papandonatos, G. D., Moreno, J. L. B., Kang, H., Tinkelman, D. G., Bock, B. C., NIAURA, R. S., & Abrams, D. B. (2011) · Archives of Internal Medicine · doi:10.1001/archinternmed.2010.451 · Cited by 108 · see citing works
Online Social Networks and Smoking Cessation: A Scientific Research Agenda
Cobb, N. K., Graham, A. L., Byron, M., NIAURA, R. S., Abrams, D. B., & Participants, W. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1911 · Cited by 106 · see citing works
Comparing Two Web-Based Smoking Cessation Programs: Randomized Controlled Trial
McKay, H. G., Danaher, B. G., Seeley, J. R., Lichtenstein, E., & Gau, J. M. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.993 · Cited by 99 · see citing works
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 · see citing works
Behavioral Counseling and Varenicline Treatment for Smoking Cessation
Swan, G. E., McClure, J. B., Jack, L. M., Zbikowski, S. M., Javitz, H. S., Catz, S. L., Deprey, M., Richards, J. A., & McAfee, T. A. (2010) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2010.01.024 · Cited by 94 · see citing works
Self-citationKock, 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 92 · see citing works
Landsverk, J. A., Brown, C. H., Rolls-Reutz, J., Palinkas, L. A., & Horwitz, S. M. (2010) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-010-0315-y · Cited by 89 · see citing works
McClure, J. B., Shortreed, S. M., Bogart, A., Derry, H., Riggs, K., St John, J., Nair, V., & An, L. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2508 · Cited by 83 · see citing works
Self-citationLitvin, E. B., Abrantes, A. M., & Brown, R. A. (2012) · Addictive Behaviors · doi:10.1016/j.addbeh.2012.09.003 · Cited by 85 · see citing works
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 83 · see citing works
Self-citationCollins, L. M., Chakraborty, B., Murphy, S. A., & Strecher, V. (2009) · Clinical Trials · doi:10.1177/1740774508100973 · Cited by 80 · see citing works
Self-citationEvaluating the quality of Internet health resources in pediatric urology
Fast, A. M., Deibert, C. M., Hruby, G. W., & Glassberg, K. I. (2012) · Journal of Pediatric Urology · doi:10.1016/j.jpurol.2012.01.004 · Cited by 82 · see citing works
Print-based self-help interventions for smoking cessation
Livingstone-Banks, J., Ordóñez-Mena, J. M., & Hartmann-Boyce, J. (2019) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001118.pub4 · Cited by 81 · see citing works
Joyal‐Desmarais, K., Scharmer, A., Madzelan, M. K., See, J. V., Rothman, A. J., & Snyder, M. (2022) · Psychological Bulletin · doi:10.1037/bul0000377 · Cited by 88 · see citing works
Online self-guided interventions for the treatment of problem gambling
Gainsbury, S. M., & Blaszczynski, A. (2011) · International Gambling Studies · doi:10.1080/14459795.2011.617764 · Cited by 75 · see citing works
Smoking Cessation Intervention on Facebook: Which Content Generates the Best Engagement?
Thrul, J., Klein, A. B., & Ramo, D. E. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4575 · Cited by 72 · see citing works
Kim, M., Shi, R., & Cappella, J. N. (2016) · Health Communication · doi:10.1080/10410236.2015.1048421 · Cited by 68 · see citing works
A tailored intervention to support pharmacy-based counseling for smoking cessation
Bock, B. C., Hudmon, K. S., Christian, J. G., Graham, A. L., & Bock, F. R. (2010) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntp197 · Cited by 66 · see citing works
Emerging Methods in Family Research
McHale, S. M., Amato, P. R., & BOOTH, A. R. (2013) · National symposium on family issues · doi:10.1007/978-3-319-01562-0 · Cited by 66 · see citing works
Effect of Adding a Virtual Community (Bulletin Board) to Smokefree.gov: Randomized Controlled Trial
Stoddard, J. L., Augustson, E. M., & Moser, R. P. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.1124 · Cited by 65 · see citing works
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 · see citing works
Research strategies to discern active psychological therapy components: A scoping review
Leijten, P., Weisz, J. R., & Gardner, F. (2021) · Clinical Psychological Science · doi:10.1177/2167702620978615 · Cited by 55 · see citing works
Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data
Morrison, C., & Doherty, G. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3575 · Cited by 62 · see citing works
Lustria, M. L. A., Cortese, J., Gerend, M. A., Schmitt, K., Kung, Y. M., & McLaughlin, C. (2016) · Health Psychology · doi:10.1037/hea0000399 · Cited by 62 · see citing works
Sadasivam, R. S., Borglund, E. M., Adams, R., Marlin, B. M., & Houston, T. K. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.6465 · Cited by 60 · see citing works
Levin, M. E., Haeger, J., & Cruz, R. A. (2019) · Mindfulness · doi:10.1007/s12671-018-1004-2 · Cited by 59 · see citing works
Danielsson, A.-K., Eriksson, A.-K., & Allebeck, P. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2014.06.007 · Cited by 51 · see citing works
Wyrick, D. L., Rulison, K. L., Fearnow-Kenney, M., Milroy, J. J., & Collins, L. M. (2014) · Translational Behavioral Medicine · doi:10.1007/s13142-013-0247-7 · Cited by 57 · see citing works
Self-citationUsing videos to teach children inhaler technique: a pilot randomized controlled trial
Carpenter, D. M., Lee, C., Blalock, S. J., Weaver, M. A., Reuland, D. S., Coyne-Beasley, T. D., Mooneyham, R., Loughlin, C. E., Geryk, L. L., & Sleath, B. L. (2014) · Journal of Asthma · doi:10.3109/02770903.2014.944983 · Cited by 56 · see citing works
Nicotine Gum Treatment Before Smoking Cessation
Etter, J., Huguelet, P., Perneger, T., & Cornuz, J. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.12 · Cited by 56 · see citing works
Draper, C., & O’Donohue, W. (2010) · Springer eBooks · doi:10.1007/978-1-4419-6510-3 · Cited by 54 · see citing works
An internet tool to normalize grief
Dominick, S. A., Irvine, A. B., Beauchamp, N., Seeley, J. R., Nolen-Hoeksema, S., Doka, K. J., & Bonanno, G. A. (2010) · OMEGA - Journal of Death and Dying · doi:10.2190/om.60.1.d · Cited by 53 · see citing works
Computer-Tailored Student Support in Introductory Physics
Huberth, M., Chen, P., Tritz, J., & McKay, T. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0137001 · Cited by 53 · see citing works
1531 EVALUATING QUALITY INTERNET HEALTH RESOURCES IN PEDIATRIC UROLOGY
Fast, A. M., Deibert, C. M., Hruby, G. W., & Glassberg, K. I. (2012) · The Journal of Urology · doi:10.1016/j.juro.2012.02.1299 · Cited by 52 · see citing works
Factorial Designs Help to Understand How Psychological Therapy Works
Watkins, E. R., & Newbold, A. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00429 · Cited by 52 · see citing works
Watkins, E. R., Newbold, A., Tester‐Jones, M., Javaid, M., Cadman, J., Collins, L. M., Graham, J., & Mostazir, M. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-1054-8 · Cited by 51 · see citing works
Self-citationTranslational research in South Africa: evaluating implementation quality using a factorial design
Caldwell, L. L., Smith, E. A., Collins, L. M., Graham, J. W., Lai, M., Wegner, L., Vergnani, T., Matthews, C., & Jacobs, J. (2012) · Child & Youth Care Forum · doi:10.1007/s10566-011-9164-4 · Cited by 50 · see citing works
Self-citationSadasivam, R. S., Cutrona, S. L., Kinney, R. L., Marlin, B. M., Mazor, K. M., Lemon, S. C., & Houston, T. K. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4448 · Cited by 48 · see citing works
Jahangiry, L., Shojaeizadeh, D., Farhangi, M. A., Yaseri, M., Mohammad, K., Najafi, M., & Montazeri, A. (2015) · Trials · doi:10.1186/s13063-015-0950-4 · Cited by 46 · see citing works
Improved Designs for Cluster Randomized Trials
Crespi, C. M. (2015) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-032315-021702 · Cited by 45 · see citing works
A Randomized Controlled Trial of an Optimized Smoking Treatment Delivered in Primary Care
Piper, M. E., Cook, J. W., Schlam, T. R., Jorenby, D. E., Smith, S. S., Collins, L. M., Mermelstein, R. J., Fraser, D. L., Fiore, M. C., & Baker, T. B. (2018) · Annals of Behavioral Medicine · doi:10.1093/abm/kax059 · Cited by 46 · see citing works
Self-citationHodgins, D. C., Fick, G. H., Murray, R., & Cunningham, J. A. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-10 · Cited by 44 · see citing works
Collins, L. M., Strayhorn, J. C., & Vanness, D. J. (2021) · Translational Behavioral Medicine · doi:10.1093/tbm/ibab087 · Cited by 43 · see citing works
Self-citationInference about the expected performance of a data-driven dynamic treatment regime
Chakraborty, B., Laber, E. B., & Zhao, Y. (2014) · Clinical Trials · doi:10.1177/1740774514537727 · Cited by 43 · see citing works
Self-citationLandoll, R. R., Vargas, S. E., Samardzic, K. B., Clark, M. F., & Guastaferro, K. (2021) · Translational Behavioral Medicine · doi:10.1093/tbm/ibab146 · Cited by 42 · see citing works
Effectiveness of web‐based tailored smoking cessation advice reports (i Q uit): a randomized trial
Mason, D., Gilbert, H. M., & Sutton, S. R. (2012) · Addiction · doi:10.1111/j.1360-0443.2012.03972.x · Cited by 42 · see citing works
Exploring the “Active Ingredients” of an Online Smoking Intervention: A Randomized Factorial Trial
McClure, J. B., Peterson, D., Derry, H. A., Riggs, K. R., Saint-Johnson, J., Nair, V. N., An, L. C., & Shortreed, S. M. (2014) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntu057 · Cited by 42 · see citing works
Self-citationNewman-Casey, P. A., Dayno, M., & Robin, A. L. (2015) · Expert Review of Ophthalmology · doi:10.1586/17469899.2016.1134318 · Cited by 42 · see citing works
Watkins, E., Newbold, A., Tester-Jones, M., Collins, L. M., & Mostazir, M. (2023) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2023.1937 · Cited by 40 · see citing works
Self-citationInternet‐based self‐tailored deposit contracts to promote smoking reduction and abstinence
Jarvis, B. P., & Dallery, J. (2017) · Journal of Applied Behavior Analysis · doi:10.1002/jaba.377 · Cited by 39 · see citing works
Hrynyschyn, R., Prediger, C., Stock, C., & Helmer, S. M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19095221 · Cited by 43 · see citing works
Dynamic Treatment Regimes for Managing Chronic Health Conditions: A Statistical Perspective
Chakraborty, B. (2010) · American Journal of Public Health · doi:10.2105/ajph.2010.198937 · Cited by 38 · see citing works
Self-citationWetter, D. W., McClure, J. B., Cofta-Woerpel, L. M., Costello, T. J., Reitzel, L. R., Businelle, M. S., & Cinciripini, P. M. (2011) · Psychology of Addictive Behaviors · doi:10.1037/a0022797 · Cited by 39 · see citing works
Self-citationJasinska, A. J., Chua, H. F., Ho, S.-H. S., Polk, T. A., Rozek, L. S., & Strecher, V. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.064 · Cited by 39 · see citing works
Self-citation
- Authors
- Strecher, V. J., McClure, J. B., Alexander, G. L., Chakraborty, B., Nair, V. N., Konkel, J. M., Greene, S. M., Collins, L. M., Carlier, C. C., Wiese, C. J., Little, R. J., Pomerleau, C. S., & Pomerleau, O. F.
- Affiliations
- University of Michigan (US)
- Group Health Cooperative (US)
- Henry Ford Health (US)
- Pennsylvania State University (US)
- Corresponding author
- Strecher, Victor J.
- ORCID
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2008-05
- Volume
- 34
- Issue
- 5
- Pages
- 373-381
- ISSN
- 0749-3797 (ISSN-L)
- PMC
- PMC2697448
- OpenAlex
- W1930054094
- Cited by
- 266
- References
- 25
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 10 · 2023: 5 · 2022: 6 · 2021: 15 · 2020: 10 · 2019: 12 · 2018: 12 · 2017: 11 · 2016: 17 · 2015: 19 · 2014: 24 · 2013: 29 · 2012: 21
- FWCI
- 14.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (P50CA101451, R01CA101843)
- Topics
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- smoking cessation, online intervention, e-health, personalized messages, success stories, outcome expectations, efficacy expectations, nicotine patch, abstinence, intervention components, fractional factorial design, health maintenance organizations
- MeSH terms
- Adult, Aged, Female, Humans, Male, Michigan, Middle Aged, Smoking Cessation, Treatment Outcome, Internet
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
