Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39208, first published .
Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial

Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial

Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial

Journals

  1. 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
  2. Cobos-Campos R, Cordero-Guevara J, Apiñaniz A, de Lafuente A, Bermúdez Ampudia C, Argaluza Escudero J, Pérez Llanos I, Parraza Diez N. The Impact of Digital Health on Smoking Cessation. Interactive Journal of Medical Research 2023;12:e41182 View
  3. Brin M, Trujillo P, Huang M, Cioe P, Chen H, Xu W, Schnall R. Development and evaluation of visualizations of smoking data for integration into the Sense2Quit app for tobacco cessation. Journal of the American Medical Informatics Association 2024;31(2):354 View
  4. Struik L, Christianson K, Khan S, Sharma R. Strengths and Limitations of Web-Based Cessation Support for Individuals Who Smoke, Dual Use, or Vape: Qualitative Interview Study. JMIR Formative Research 2023;7:e43096 View
  5. Qian Y, Liu Z, Lee E, Wang Y, Ni Z. Exploring the Incentive Function of Virtual Academic Degrees in a Chinese Online Smoking Cessation Community: Qualitative Content Analysis. Journal of Medical Internet Research 2023;25:e42260 View
  6. Vera Cruz G, Khazaal Y, Etter J. Predicting the Users’ Level of Engagement with a Smartphone Application for Smoking Cessation: Randomized Trial and Machine Learning Analysis. European Addiction Research 2023;29(3):171 View
  7. Dahne J, Wahlquist A, Kustanowitz J, Natale N, Fahey M, Graboyes E, Diaz V, Carpenter M. Behavioral Activation–Based Digital Smoking Cessation Intervention for Individuals With Depressive Symptoms: Randomized Clinical Trial. Journal of Medical Internet Research 2023;25:e49809 View
  8. Brin M, Trujillo P, Jia H, Cioe P, Huang M, Chen H, Qian X, Xu W, Schnall R. Pilot Testing of an mHealth App for Tobacco Cessation in People Living With HIV: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2023;12:e49558 View
  9. 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
  10. Maiwald P, Bischoff M, Lindinger P, Tinsel I, Sehlbrede M, Fichtner U, Metzner G, Schlett C, Farin-Glattacker E. The Effect of Interactivity, Tailoring, and Use Intensity on the Effectiveness of an Internet-Based Smoking Cessation Intervention Over a 12-Month Period: Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e47463 View
  11. López-Torrecillas F, Ramírez-Uclés I, Rueda M, Cobo-Rodríguez B, Castro-Martín L, Urrea-Castaño S, Muñoz-López L. Use of the Therapy App Prescinde for Increasing Adherence to Smoking Cessation Treatment. Healthcare 2023;11(24):3121 View
  12. Pandya A, K S M, Mishra S, Bajaj K. Effectiveness of the QuitSure Smartphone App for Smoking Cessation: Findings of a Prospective Single Arm Trial. JMIR Formative Research 2023;7:e51658 View
  13. McKay F, Chan L, Cerio R, Rickards S, Hastings P, Reakes K, O'Brien T, Dunn M. Assessing the Quality and Behavior Change Potential of Vaping Cessation Apps: Systematic Search and Assessment. JMIR mHealth and uHealth 2024;12:e55177 View
  14. Barroso-Hurtado M, López-Durán A, Martínez-Vispo C, Suárez-Castro D, Becoña E. Evaluation of effectiveness and acceptability of a psychological treatment for smoking cessation combined with a smartphone App: A pilot study. Internet Interventions 2024;36:100737 View
  15. Ulm C, Chen S, Fleshman B, Benson L, Kendzor D, Frank-Pearce S, Neil J, Vidrine D, Businelle M. Smartphone-Based Survey and Message Compliance in Adults Initially Unready to Quit Smoking: Secondary Analysis of a Randomized Controlled Trial. JMIR Formative Research 2024;8:e56003 View
  16. Krotter A, Aonso-Diego G, González-Menéndez A, González-Roz A, Secades-Villa R, García-Pérez Á. Effectiveness of acceptance and commitment therapy for addictive behaviors: A systematic review and meta-analysis. Journal of Contextual Behavioral Science 2024;32:100773 View
  17. Siegel L, Wiseman K, Budenz A, Prutzman Y. Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning. JMIR AI 2024;3:e51756 View
  18. Bricker J, Sullivan B, Mull K, Santiago-Torres M, Lavista Ferres J. Conversational Chatbot for Cigarette Smoking Cessation: Results From the 11-Step User-Centered Design Development Process and Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e57318 View
  19. 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
  20. Santiago-Torres M, Mull K, Sullivan B, Prochaska J, Zvolensky M, Bricker J, Perovic M. Can an Acceptance and Commitment Therapy‐Based Smartphone App Help Individuals with Mental Health Disorders Quit Smoking?. Depression and Anxiety 2024;2024(1) View
  21. 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

Books/Policy Documents

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