Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26082, first published .
Behavior Change Techniques in Popular Mobile Apps for Smoking Cessation in France: Content Analysis

Behavior Change Techniques in Popular Mobile Apps for Smoking Cessation in France: Content Analysis

Behavior Change Techniques in Popular Mobile Apps for Smoking Cessation in France: Content Analysis

Journals

  1. Gornyi B, Bunova A, Kushunina D, Kulikova M, Kalinina A, Drapkina O. Evaluation of Russian-language mobile applications designed to support smoking cessation. Profilakticheskaya meditsina 2022;25(7):66 View
  2. He X, Peng C, Xu Y, Zhang Y, Wang Z. Global Scientific Research Landscape on Medical Informatics From 2011 to 2020: Bibliometric Analysis. JMIR Medical Informatics 2022;10(4):e33842 View
  3. Yang Q. Theory-Based Social and Non-Social Engagement Features in Smoking Cessation Mobile Apps: A Content Analysis. International Journal of Environmental Research and Public Health 2021;18(17):9106 View
  4. Selvaraj S, Sriram A. The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model–Based Content Analysis. JMIR mHealth and uHealth 2022;10(5):e15719 View
  5. Chu S, Feng L, Zuo Y, Jing H, Zhang D, Tong Z, Shi J, Ma H, Zhang Z, Liang L. Evaluation of an innovative mHealth-based integrated modality for smoking cessation in Chinese smokers: protocol for a randomized controlled trial. BMC Public Health 2023;23(1) View
  6. Martin-Vicario L, Bustos Díaz J, Martínez-Sánchez M, Nicolas-Sans R. Mobile applications for weight-loss in the Spanish-speaking market: Usability and engagement. Obesity Medicine 2023;41:100499 View
  7. Bold K, Garrison K, DeLucia A, Horvath M, Nguyen M, Camacho E, Torous J. Smartphone Apps for Smoking Cessation: Systematic Framework for App Review and Analysis. Journal of Medical Internet Research 2023;25:e45183 View
  8. 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
  9. Bhat B, Nayak P, Vasthare R, Singhal D. Mobile applications (apps) for tobacco cessation: Behaviour change potential and heuristic analysis using the Mobile Application Rating Scale (MARS). F1000Research 2023;12:1413 View
  10. Toïgo M, Marc J, Hayot M, Moulis L, Carbonnel F. Quality Assessment of Smartphone Medication Management Apps in France: Systematic Search. JMIR mHealth and uHealth 2024;12:e54866 View
  11. Hyzy M, Bond R, Mulvenna M, Bai L, Frey A, Carracedo J, Daly R, Leigh S, Kanmodi K. Don’t judge a book or health app by its cover: User ratings and downloads are not linked to quality. PLOS ONE 2024;19(3):e0298977 View
  12. Bustamante Perez L, Romo L, Zerhouni O. Feasibility and Engagement of a Mobile App Preparation Program (Kwit) for Smoking Cessation in an Ecological Context: Quantitative Study. JMIR mHealth and uHealth 2024;12:e51025 View
  13. Rachad T, El Hafidy A, Aabbad M, Idri A. Comprehensive framework for developing mHealth-based behavior change interventions. DIGITAL HEALTH 2024;10 View
  14. Bhat B, Nayak P, Vasthare R, Singhal D. Mobile applications (apps) for tobacco cessation: Behaviour change potential and heuristic analysis using the Mobile Application Rating Scale (MARS). F1000Research 2024;12:1413 View

Books/Policy Documents

  1. Patel S, Reed B, Doran N. Tobacco Dependence. View
  2. Jangle S, Yeravdekar R, Singh A, Kumar Mukherjee S, Jha A. Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry. View
  3. Meijer E, Mansour M. Digital Respiratory Healthcare. View