This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (3114)
Patterns of Use of an Automated Interactive Personalized Coaching Program for Smoking Cessation

Patterns of Use of an Automated Interactive Personalized Coaching Program for Smoking Cessation

Patterns of Use of an Automated Interactive Personalized Coaching Program for Smoking Cessation

Authors of this article:

James Balmford ;   Ron Borland ;   Peter Benda
Article Authors Cited by (48) Tweetations Metrics

Journals

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  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
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  29. 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
  30. 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
  31. 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
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  33. 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
  34. 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
  35. 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
  36. 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
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  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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 2024:1 View

Books/Policy Documents

  1. Budney A, Borodovsky J, Marsch L, Lord S. The Assessment and Treatment of Addiction. View
  2. Kelders S, van Gemert-Pijnen J. Persuasive Technology. View
  3. Meijer E, Mansour M. Digital Respiratory Healthcare. View