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

Web-based and Mobile Health Interventions (4017) Usage Data and Process Outcomes in eHealth Trials (59) Smoking Cessation (629) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (638)

Published on in Vol 20, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10143, first published .
Trajectories of 12-Month Usage Patterns for Two Smoking Cessation Websites: Exploring How Users Engage Over Time

Trajectories of 12-Month Usage Patterns for Two Smoking Cessation Websites: Exploring How Users Engage Over Time

Trajectories of 12-Month Usage Patterns for Two Smoking Cessation Websites: Exploring How Users Engage Over Time

Authors of this article:

Jonathan B Bricker1, 2 Author Orcid Image ;   Vasundhara Sridharan1, 2 Author Orcid Image ;   Yifan Zhu1 Author Orcid Image ;   Kristin E Mull1 Author Orcid Image ;   Jaimee L Heffner1 Author Orcid Image ;   Noreen L Watson1 Author Orcid Image ;   Jennifer B McClure3 Author Orcid Image ;   Chongzhi Di1 Author Orcid Image
Article Authors Cited by (17) Tweetations (8) Metrics

Journals

  1. Brunette M, Ferron J, Geiger P, Guarino S, Pratt S, Lord S, Aschbrenner K, Adachi-Mejia A. Pilot study of a mobile smoking cessation intervention for low-income smokers with serious mental illness. Journal of Smoking Cessation 2019;14(4):203 View
  2. Power J, Phelan S, Hatley K, Brannen A, Muñoz-Christian K, Legato M, Tate D. Engagement and Weight Loss in a Web and Mobile Program for Low-Income Postpartum Women: Fit Moms/Mamás Activas. Health Education & Behavior 2019;46(2_suppl):114S View
  3. Bell K. Signs, things and packaging: Recovering the material agency of the cigarette packet. Social Studies of Science 2020;50(1):30 View
  4. Watson N, Heffner J, Mull K, McClure J, Bricker J. Comparing Treatment Acceptability and 12-Month Cessation Rates in Response to Web-Based Smoking Interventions Among Smokers Who Do and Do Not Screen Positive for Affective Disorders: Secondary Analysis. Journal of Medical Internet Research 2019;21(6):e13500 View
  5. Perski O, Watson N, Mull K, Bricker J. Identifying Content-Based Engagement Patterns in a Smoking Cessation Website and Associations With User Characteristics and Cessation Outcomes: A Sequence and Cluster Analysis. Nicotine & Tobacco Research 2021;23(7):1103 View
  6. Gowarty M, Longacre M, Vilardaga R, Kung N, Gaughan-Maher A, Brunette M. Usability and Acceptability of Two Smartphone Apps for Smoking Cessation Among Young Adults With Serious Mental Illness: Mixed Methods Study. JMIR Mental Health 2021;8(7):e26873 View
  7. Jackson S, Brown J, Norris E, Livingstone-Banks J, Hayes E, Lindson N. Mindfulness for smoking cessation. Cochrane Database of Systematic Reviews 2022;2022(4) View
  8. 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
  9. 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
  10. Bricker J, Miao Z, Mull K, Santiago-Torres M, Vock D. Can a Single Variable Predict Early Dropout From Digital Health Interventions? Comparison of Predictive Models From Two Large Randomized Trials. Journal of Medical Internet Research 2023;25:e43629 View
  11. 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
  12. 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
  13. 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
  14. Li Y, Luk T, Cheung Y, Zhao S, Zeng Y, Tong H, Lai V, Wang M. Engagement With a Mobile Chat-Based Intervention for Smoking Cessation. JAMA Network Open 2024;7(6):e2417796 View
  15. Peuters C, DeSmet A, Maenhout L, Cardon G, Debeer D, Crombez G. Adolescent Engagement With a Multicomponent mHealth Tool: Identifying Usage Patterns, Determinants, and Health Behavior Change in an Intervention Trial. JMIR mHealth and uHealth 2025;13:e59041 View
  16. Zijp A, de Frel D, van den Putte B, Heemskerk E, Chavannes N, Hermsen S, Troelstra S, Meijer E. Adherence to mHealth quit smoking application ‘stopcoach’ on top of evidence based smoking cessation counselling: association with participant characteristics and long-term abstinence. Substance Abuse Treatment, Prevention, and Policy 2025;20(1) View

Books/Policy Documents

  1. Meijer E, Mansour M. Digital Respiratory Healthcare. View