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

Journals

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  7. 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
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  9. 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
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  13. 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
  14. 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
  15. 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
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  17. 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
  18. 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
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  21. 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
  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
  32. 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
  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
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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