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

mHealth for Wellness, Behavior Change and Prevention (3315) Chatbots and Conversational Agents (740) Smoking Cessation (629) mHealth in a Clinical Setting (743) Registered Report (791)

Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34273, first published .
Effectiveness of a Conversational Chatbot (Dejal@bot) for the Adult Population to Quit Smoking: Pragmatic, Multicenter, Controlled, Randomized Clinical Trial in Primary Care

Effectiveness of a Conversational Chatbot (Dejal@bot) for the Adult Population to Quit Smoking: Pragmatic, Multicenter, Controlled, Randomized Clinical Trial in Primary Care

Effectiveness of a Conversational Chatbot (Dejal@bot) for the Adult Population to Quit Smoking: Pragmatic, Multicenter, Controlled, Randomized Clinical Trial in Primary Care

Authors of this article:

Eduardo Olano-Espinosa1 Author Orcid Image ;   Jose Francisco Avila-Tomas2, 3 Author Orcid Image ;   Cesar Minue-Lorenzo4 Author Orcid Image ;   Blanca Matilla-Pardo5 Author Orcid Image ;   María Encarnación Serrano Serrano6 Author Orcid Image ;   F Javier Martinez-Suberviola7 Author Orcid Image ;   Mario Gil-Conesa8 Author Orcid Image ;   Isabel Del Cura-González9, 10 Author Orcid Image ;   Dejal@ Group11
Article Authors Cited by (34) Tweetations (32) Metrics

Journals

  1. Guo N, Luk T, Wu Y, Guo Z, Chu J, Cheung Y, Chan C, Kwok T, Wong V, Wong C, Lee J, Kwok Y, Viswanath K, Lam T, Wang M. Effect of mobile interventions with nicotine replacement therapy sampling on long-term smoking cessation in community smokers: A pragmatic randomized clinical trial. Tobacco Induced Diseases 2023;21(March):1 View
  2. Sanabria G, Greene K, Tran J, Gilyard S, DiGiovanni L, Emmanuel P, Sanders L, Kosyluk K, Galea J. “A Great Way to Start the Conversation”: Evidence for the Use of an Adolescent Mental Health Chatbot Navigator for Youth at Risk of HIV and Other STIs. Journal of Technology in Behavioral Science 2023;8(4):382 View
  3. Minian N, Mehra K, Rose J, Veldhuizen S, Zawertailo L, Ratto M, Lecce J, Selby P. Cocreation of a conversational agent to help patients adhere to their varenicline treatment: A study protocol. DIGITAL HEALTH 2023;9 View
  4. Bendotti H, Lawler S, Chan G, Gartner C, Ireland D, Marshall H. Conversational artificial intelligence interventions to support smoking cessation: A systematic review and meta-analysis. DIGITAL HEALTH 2023;9 View
  5. Ho K, Lam K, Wu C, Leung D, Belay G, Liu Q, Mak Y, Fernandes T. An integrated smoking cessation and alcohol intervention among Hong Kong Chinese young people: Study protocol for a feasibility randomized controlled trial. PLOS ONE 2023;18(8):e0289633 View
  6. Ding H, Simmich J, Vaezipour A, Andrews N, Russell T. Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. Journal of the American Medical Informatics Association 2024;31(3):746 View
  7. Minian N, Mehra K, Earle M, Hafuth S, Ting-A-Kee R, Rose J, Veldhuizen S, Zawertailo L, Ratto M, Melamed O, Selby P. AI Conversational Agent to Improve Varenicline Adherence: Protocol for a Mixed Methods Feasibility Study. JMIR Research Protocols 2023;12:e53556 View
  8. Campbell W, Chick J, Shin D, Makary M. Understanding ChatGPT for evidence-based utilization in interventional radiology. Clinical Imaging 2024;108:110098 View
  9. McClure R, Talbo M, Bonhoure A, Molveau J, South C, Lebbar M, Wu Z. Exploring Technology’s Influence on Health Behaviours and Well-being in Type 1 Diabetes: a Review. Current Diabetes Reports 2024;24(4):61 View
  10. Laymouna M, Ma Y, Lessard D, Schuster T, Engler K, Lebouché B. Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review. Journal of Medical Internet Research 2024;26:e56930 View
  11. Prenner A, Ziegl A, Wiesmüller F, El Moazen G, Hayn D, Prenner A, Brodmann M, Seinost G, Modre-Osprian R, Schreier G, Silbernagel G. Usability of a telehealth-nurse supported home-based walking training for peripheral arterial disease – The Keep Pace! pilot study. Vasa 2024;53(4):246 View
  12. Casu M, Triscari S, Battiato S, Guarnera L, Caponnetto P. AI Chatbots for Mental Health: A Scoping Review of Effectiveness, Feasibility, and Applications. Applied Sciences 2024;14(13):5889 View
  13. 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
  14. Weng X, Yin H, Liu K, Song C, Xie J, Guo N, Wang M. Chatbot-Led Support Combined With Counselor-Led Support on Smoking Cessation in China: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2024;13:e58636 View
  15. Portz J, Moore S, Bull S. Evolutionary Trends in the Adoption, Adaptation, and Abandonment of Mobile Health Technologies: Viewpoint Based on 25 Years of Research. Journal of Medical Internet Research 2024;26:e62790 View
  16. Lee S, Yoon J, Cho Y, Chun J. A systematic review of chatbot-assisted interventions for substance use. Frontiers in Psychiatry 2024;15 View
  17. Bricker J, Sullivan B, Mull K, Lavista-Ferres J, Santiago-Torres M. Efficacy of a conversational chatbot for cigarette smoking cessation: Protocol of the QuitBot full-scale randomized controlled trial. Contemporary Clinical Trials 2024;147:107727 View
  18. Jiang Y, Zhao Y, Tang P, Wang X, Guo Y, Tang L. The role of nurses in smoking cessation interventions for patients: a scoping review. BMC Nursing 2024;23(1) View
  19. Lachance A, Da S, Yameogo A, Plaisimond J, Naye F, Yousefi F, Bergeron F, Sasseville M, Gagnon M. Interactive Conversational Agents for Cigarette-Smoking and Vaping Cessation: A Mixed-Methods Systematic Review. Multimodal Technologies and Interaction 2024;8(11):101 View
  20. Zhong J, Zhu T, Huang Y. Reporting Quality of AI Intervention in Randomized Controlled Trials in Primary Care: Systematic Review and Meta-Epidemiological Study. Journal of Medical Internet Research 2025;27:e56774 View
  21. V D, Jodalli P, B R A. The role of chatbots and virtual assistants in enhancing tobacco cessation counselling. Frontiers in Digital Health 2025;7 View
  22. Yousefi F, Naye F, Ouellet S, Yameogo A, Sasseville M, Bergeron F, Ozkan M, Cousineau M, Amil S, Rhéaume C, Gagnon M. Artificial Intelligence in Health Promotion and Disease Reduction: Rapid Review. Journal of Medical Internet Research 2025;27:e70381 View
  23. Albers N, Melo F, Neerincx M, Kudina O, Brinkman W. Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention. npj Digital Medicine 2025;8(1) View
  24. Chen J, Hu R, Zhuang Y, Zhang J, Shan R, Yang Y, Liu Z. Natural Language Processing Chatbot–Based Interventions for Improvement of Diet, Physical Activity, and Tobacco Smoking Behaviors: Systematic Review. JMIR mHealth and uHealth 2025;13:e66403 View
  25. Završnik J, Kokol P, Žlahtič B, Blažun Vošner H. Machine Learning in Primary Health Care: The Research Landscape. Healthcare 2025;13(13):1629 View
  26. Li M, Koide K, Tanaka M, Kiya M, Okamoto R. A Scoping Review of Nurses’ Involvement in Smoking Cessation Strategies for Patients. Journal of Integrative Nursing and Palliative Care 2025;6(1):60 View
  27. Ito Y, Kajiwara K, Kako J, Kobayashi M, Tsubaki M, Sakuramoto H, Yamanaka M, Kakeda T. Artificial intelligence in nursing support for patients: A rapid review. International Journal of Medical Informatics 2025;204:106087 View
  28. You C, Ghosh R, Vilaro M, Venkatakrishnan R, Venkatakrishnan R, Maxim A, Peng X, Tamboli D, Lok B. Alter egos alter engagement: perspective-taking can improve disclosure quantity and depth to AI chatbots in promoting mental wellbeing. Frontiers in Digital Health 2025;7 View
  29. Kalan E, Dadipoor S, Osibogun O, Ben Taleb Z. The Roles of AI in Tobacco and Nicotine Research and Regulation. Substance Use & Misuse 2025:1 View
  30. Jones J, Sakai T. The Potential Impacts of Artificial Intelligence on Preoperative Optimization and Predicting Risks of Morbidity and Mortality: A Narrative Focused Review. A&A Practice 2025;19(10):e02061 View
  31. Seo Y, Lee H, Paek Y, Lee H, Lee C, Lee E, Kimm H, An H, Bae E, Kim J, Roh S, An Y, Jo S, Kang S, Kim Y, Suh K, Shin S, Oh J, Park D, Lee K, Kang H, Jung W, Lim H, Choi M, Kim J, Suh H, Chang J, Oh H, Kim S. Korean Clinical Practice Guideline of Korean Society for Research on Nicotine and Tobacco (KSRNT) and National Evidence-Based Healthcare Collaborating Agency (NECA) on Treatment of Tobacco Use 2024. Journal of Korean Medical Science 2025;40(39) View
  32. Umar M, Ali V, Shamim L, Musharaf I, Hafsa R, Ahsan M, Ahmad O, Sabhan L, Saeed M, Ahmed S, Iftikhar S, Ain N. Transforming healthcare with large language models: Current applications, challenges, and future directions—a literature review. Journal of Intelligent Medicine 2025 View

Books/Policy Documents

  1. Diniz J. Federated Learning Systems. View

Conference Proceedings

  1. Geng S, Inayoshi R, Yang C, Sramek Z, Umeda Y, Kasahara C, Sato A, Hosio S, Yatani K. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Beyond the Dialogue: Multi-chatbot Group Motivational Interviewing for Premenstrual Syndrome (PMS) Management View