Journals
- Borland R, Balmford J, Benda P. Population‐level effects of automated smoking cessation help programs: a randomized controlled trial. Addiction 2013;108(3):618 View
- Kelders S, Kok R, Ossebaard H, Van Gemert-Pijnen J. Persuasive System Design Does Matter: a Systematic Review of Adherence to Web-based Interventions. Journal of Medical Internet Research 2012;14(6):e152 View
- Brandt C, Dalum P, Thomsen T. “I miss the care even though I know it’s just a machine”: An explorative study of the relationship between an Internet-based smoking cessation intervention and its participants. Health Informatics Journal 2013;19(3):233 View
- Buller D, Borland R, Bettinghaus E, Shane J, Zimmerman D. Randomized Trial of a Smartphone Mobile Application Compared to Text Messaging to Support Smoking Cessation. Telemedicine and e-Health 2014;20(3):206 View
- Stanczyk N, Bolman C, Smit E, Candel M, Muris J, de Vries H. How to encourage smokers to participate in web-based computer-tailored smoking cessation programs: a comparison of different recruitment strategies. Health Education Research 2014;29(1):23 View
- Machado N, Gomide H, Bernardino H, Ronzani T. Facebook recruitment of smokers: comparing gain- and loss-framed ads for the purposes of an Internet-based smoking cessation intervention. Cadernos de Saúde Pública 2019;35(10) View
- Brown J, Michie S, Raupach T, West R. Prevalence and Characteristics of Smokers Interested in Internet-Based Smoking Cessation Interventions: Cross-sectional Findings From a National Household Survey. Journal of Medical Internet Research 2013;15(3):e50 View
- Cha S, Cohn A, Elmasry H, Graham A. A Preliminary Exploration of Former Smokers Enrolled in an Internet Smoking Cessation Program. JMIR Research Protocols 2016;5(2):e119 View
- Phua J. Quitting smoking using health issue-specific Social Networking Sites (SNSs): What influences participation, social identification, and smoking cessation self-efficacy?. Journal of Smoking Cessation 2014;9(1):39 View
- Mavrot C, Stucki I, Sager F, Etter J. Efficacy of an Internet-based, individually tailored smoking cessation program: A randomized-controlled trial. Journal of Telemedicine and Telecare 2017;23(5):521 View
- Zeng E, Vilardaga R, Heffner J, Mull K, Bricker J. Predictors of Utilization of a Novel Smoking Cessation Smartphone App. Telemedicine and e-Health 2015;21(12):998 View
- BOTELHO R, WASSUM K, BENZIAN H, SELBY P, CHAN S. Address the gaps in tobacco cessation training and services: Developing professional organisational alliances to create social movements. Drug and Alcohol Review 2009;28(5):558 View
- Yu C, Bahniwal R, Laupacis A, Leung E, Orr M, Straus S. Systematic review and evaluation of web-accessible tools for management of diabetes and related cardiovascular risk factors by patients and healthcare providers. Journal of the American Medical Informatics Association 2012;19(4):514 View
- Graham A, Jacobs M, Cohn A, Cha S, Abroms L, Papandonatos G, Whittaker R. Optimising text messaging to improve adherence to web-based smoking cessation treatment: a randomised control trial protocol. BMJ Open 2016;6(3):e010687 View
- Risica P, Gavarkovs A, Parker D, Jennings E, Phipps M. A tailored video intervention to reduce smoking and environmental tobacco exposure during and after pregnancy: Rationale, design and methods of Baby's Breath. Contemporary Clinical Trials 2017;52:1 View
- Neubeck L, Coorey G, Peiris D, Mulley J, Heeley E, Hersch F, Redfern J. Development of an integrated e-health tool for people with, or at high risk of, cardiovascular disease: The Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) web application. International Journal of Medical Informatics 2016;96:24 View
- Bricker J, Sridharan V, Zhu Y, Mull K, Heffner J, Watson N, McClure J, Di C. Trajectories of 12-Month Usage Patterns for Two Smoking Cessation Websites: Exploring How Users Engage Over Time. Journal of Medical Internet Research 2018;20(4):e10143 View
- Heminger C, Boal A, Zumer M, Abroms L. Text2Quit: an analysis of participant engagement in the mobile smoking cessation program. The American Journal of Drug and Alcohol Abuse 2016;42(4):450 View
- Mason D, Gilbert H, Sutton S. Effectiveness of web‐based tailored smoking cessation advice reports (iQuit): a randomized trial. Addiction 2012;107(12):2183 View
- Buller D, Halperin A, Severson H, Borland R, Slater M, Bettinghaus E, Tinkelman D, Cutter G, Woodall W. Effect of Nicotine Replacement Therapy on Quitting by Young Adults in a Trial Comparing Cessation Services. Journal of Public Health Management and Practice 2014;20(2):E7 View
- Graham A, Papandonatos G, Cha S, Erar B, Amato M, Cobb N, Niaura R, Abrams D. Improving Adherence to Smoking Cessation Treatment: Intervention Effects in a Web-Based Randomized Trial. Nicotine & Tobacco Research 2016:ntw282 View
- Wanner M, Martin-Diener E, Bauer G, Braun-Fahrländer C, Martin B. Comparison of Trial Participants and Open Access Users of a Web-Based Physical Activity Intervention Regarding Adherence, Attrition, and Repeated Participation. Journal of Medical Internet Research 2010;12(1):e3 View
- Kelders S, Bohlmeijer E, Van Gemert-Pijnen J. Participants, Usage, and Use Patterns of a Web-Based Intervention for the Prevention of Depression Within a Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(8):e172 View
- Borland R, Balmford J, Swift E. Effects of timing of initiation and planning on smoking cessation outcomes: study protocol for a randomised controlled trial. BMC Public Health 2013;13(1) View
- Kelders S, Van Gemert-Pijnen J, Werkman A, Nijland N, Seydel E. Effectiveness of a Web-based Intervention Aimed at Healthy Dietary and Physical Activity Behavior: A Randomized Controlled Trial About Users and Usage. Journal of Medical Internet Research 2011;13(2):e32 View
- Ludden G, van Rompay T, Kelders S, van Gemert-Pijnen J. How to Increase Reach and Adherence of Web-Based Interventions: A Design Research Viewpoint. Journal of Medical Internet Research 2015;17(7):e172 View
- Kelders S, Pots W, Oskam M, Bohlmeijer E, van Gemert-Pijnen J. Development of a web-based intervention for the indicated prevention of depression. BMC Medical Informatics and Decision Making 2013;13(1) View
- Hasson H, Brown C, Hasson D. Factors associated with high use of a workplace web-based stress management program in a randomized controlled intervention study. Health Education Research 2010;25(4):596 View
- Balmford J, Borland R, Benda P, Howard S. Factors associated with use of automated smoking cessation interventions: findings from the eQuit study. Health Education Research 2013;28(2):288 View
- Dalum P, Brandt C, Skov-Ettrup L, Tolstrup J, Kok G. The Systematic Development of an Internet-Based Smoking Cessation Intervention for Adults. Health Promotion Practice 2016;17(4):490 View
- Guertler D, Vandelanotte C, Kirwan M, Duncan M. Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2015;17(7):e176 View
- Ryan C, Bergin M, Wells J. Theoretical Perspectives of Adherence to Web-Based Interventions: a Scoping Review. International Journal of Behavioral Medicine 2018;25(1):17 View
- Wang X, Zhao K, Cha S, Amato M, Cohn A, Pearson J, Papandonatos G, Graham A. Mining user-generated content in an online smoking cessation community to identify smoking status: A machine learning approach. Decision Support Systems 2019;116:26 View
- Abroms L, Whittaker R, Free C, Mendel Van Alstyne J, Schindler-Ruwisch J. Developing and Pretesting a Text Messaging Program for Health Behavior Change: Recommended Steps. JMIR mHealth and uHealth 2015;3(4):e107 View
- Zeng E, Heffner J, Copeland W, Mull K, Bricker J. Get with the program: Adherence to a smartphone app for smoking cessation. Addictive Behaviors 2016;63:120 View
- Brouwer W, Kroeze W, Crutzen R, de Nooijer J, de Vries N, Brug J, Oenema A. Which Intervention Characteristics are Related to More Exposure to Internet-Delivered Healthy Lifestyle Promotion Interventions? A Systematic Review. Journal of Medical Internet Research 2011;13(1):e2 View
- Arancini L, Bortolasci C, Dodd S, Dean O, Berk M. N-acetylcysteine for cessation of tobacco smoking: rationale and study protocol for a randomised controlled trial. Trials 2019;20(1) View
- Asaeikheybari G, Hooper M, Huang M. A context-adaptive smoking cessation system using videos. Smart Health 2021;19:100148 View
- Wen S, Wiers R, Boffo M, Grasman R, Pronk T, Larsen H. Subtypes of smokers in a randomized controlled trial of a web-based smoking cessation program and their role in predicting intervention non-usage attrition: Implications for the development of tailored interventions. Internet Interventions 2021;26:100473 View
- Bricker J, Mull K, Santiago-Torres M, Miao Z, Perski O, Di C. Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial. Journal of Medical Internet Research 2022;24(8):e39208 View
- Machado N, Gomide H, Bernardino H, Ronzani T. Internet-Based Intervention Compared to Brief Intervention for Smoking Cessation in Brazil: Pilot Study. JMIR Formative Research 2022;6(11):e30327 View
- Mansour M, Busschers W, Crone M, van Asselt K, van Weert H, Chavannes N, Meijer E. Use of the Smoking Cessation App Ex-Smokers iCoach and Associations With Smoking-Related Outcomes Over Time in a Large Sample of European Smokers: Retrospective Observational Study. Journal of Medical Internet Research 2023;25:e45223 View
- Andree R, Mujcic A, den Hollander W, van Laar M, Boon B, Engels R, Blankers M. Digital Smoking Cessation Intervention for Cancer Survivors: Analysis of Predictors and Moderators of Engagement and Outcome Alongside a Randomized Controlled Trial. JMIR Cancer 2024;10:e46303 View
- Redfern J, Usherwood T, Harris M, Rodgers A, Hayman N, Panaretto K, Chow C, Lau A, Neubeck L, Coorey G, Hersch F, Heeley E, Patel A, Jan S, Zwar N, Peiris D. A randomised controlled trial of a consumer-focused e-health strategy for cardiovascular risk management in primary care: the Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) study protocol. BMJ Open 2014;4(2):e004523 View
- Huang S, Wahlquist A, Dahne J. Individual Predictors of Response to A Behavioral Activation-Based Digital Smoking Cessation Intervention: A Machine Learning Approach. Substance Use & Misuse 2024;59(11):1620 View