Published on in Vol 22, No 3 (2020): March

A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial

A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial

A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial

Journals

  1. Marsch L. Digital health and addiction. Current Opinion in Systems Biology 2020;20:1 View
  2. Carpenter S, Menictas M, Nahum-Shani I, Wetter D, Murphy S. Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science. Current Addiction Reports 2020;7(3):280 View
  3. Nguyen N, Nguyen C, Thrul J. Digital Health for Assessment and Intervention Targeting Tobacco and Cannabis Co-Use. Current Addiction Reports 2020;7(3):268 View
  4. Hébert E, Suchting R, Ra C, Alexander A, Kendzor D, Vidrine D, Businelle M. Predicting the first smoking lapse during a quit attempt: A machine learning approach. Drug and Alcohol Dependence 2021;218:108340 View
  5. Prutzman Y, Wiseman K, Grady M, Budenz A, Grenen E, Vercammen L, Keefe B, Bloch M. Using Digital Technologies to Reach Tobacco Users Who Want to Quit: Evidence From the National Cancer Institute's Smokefree.gov Initiative. American Journal of Preventive Medicine 2021;60(3):S172 View
  6. Acorda D, Businelle M, Santa Maria D. Perceived Impacts, Acceptability, and Recommendations for Ecological Momentary Assessment Among Youth Experiencing Homelessness: Qualitative Study. JMIR Formative Research 2021;5(4):e21638 View
  7. 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
  8. Tong H, Quiroz J, Kocaballi A, Fat S, Dao K, Gehringer H, Chow C, Laranjo L. Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression. Preventive Medicine 2021;148:106532 View
  9. Walters S, Businelle M, Suchting R, Li X, Hébert E, Mun E. Using machine learning to identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness. Journal of Substance Abuse Treatment 2021;127:108417 View
  10. Naughton F, Brown C, High J, Notley C, Mascolo C, Coleman T, Barton G, Shepstone L, Sutton S, Prevost A, Crane D, Greaves F, Hope A. Randomised controlled trial of a just-in-time adaptive intervention (JITAI) smoking cessation smartphone app: the Quit Sense feasibility trial protocol. BMJ Open 2021;11(4):e048204 View
  11. Garey L, Hébert E, Mayorga N, Chavez J, Shepherd J, Businelle M, Zvolensky M. Evaluating the feasibility and acceptability of a mobile‐based health technology for smoking cessation: Mobile Anxiety Sensitivity Program. British Journal of Clinical Psychology 2022;61(S1):111 View
  12. Koch E, Moukhtarian T, Skirrow C, Bozhilova N, Asherson P, Ebner-Priemer U. Using e-diaries to investigate ADHD – State-of-the-art and the promising feature of just-in-time-adaptive interventions. Neuroscience & Biobehavioral Reviews 2021;127:884 View
  13. Dao K, De Cocker K, Tong H, Kocaballi A, Chow C, Laranjo L. Smartphone-Delivered Ecological Momentary Interventions Based on Ecological Momentary Assessments to Promote Health Behaviors: Systematic Review and Adapted Checklist for Reporting Ecological Momentary Assessment and Intervention Studies. JMIR mHealth and uHealth 2021;9(11):e22890 View
  14. Engelhard M, D'Arcy J, Oliver J, Kozink R, McClernon F. Prediction of Smoking Risk From Repeated Sampling of Environmental Images: Model Validation. Journal of Medical Internet Research 2021;23(11):e27875 View
  15. Amiri, S, Khan, M. Digital interventions for smoking abstinence: a systematic review and meta-analysis of randomized control trials. Journal of Addictive Diseases 2023;41(1):4 View
  16. Chulasai P, Chinwong D, Chinwong S, Hall J, Vientong P. Feasibility of a Smoking Cessation Smartphone App (Quit with US) for Young Adult Smokers: A Single Arm, Pre-Post Study. International Journal of Environmental Research and Public Health 2021;18(17):9376 View
  17. Lee U, Jung G, Ma E, Kim J, Kim H, Alikhanov J, Noh Y, Kim H. Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions. IEEE/CAA Journal of Automatica Sinica 2023;10(1):42 View
  18. Barroso-Hurtado M, Suárez-Castro D, Martínez-Vispo C, Becoña E, López-Durán A. Smoking Cessation Apps: A Systematic Review of Format, Outcomes, and Features. International Journal of Environmental Research and Public Health 2021;18(21):11664 View
  19. Yang M, Sutton S, Hernandez L, Jones S, Wetter D, Kumar S, Vinci C. A Just-In-Time Adaptive intervention (JITAI) for smoking cessation: Feasibility and acceptability findings. Addictive Behaviors 2023;136:107467 View
  20. Santiago-Torres M, Mull K, Sullivan B, Kendzor D, Bricker J. Efficacy and utilization of smartphone applications for smoking cessation among low-income adults: Secondary analysis of the iCanQuit randomized trial. Drug and Alcohol Dependence 2022;231:109258 View
  21. Yip S, Barch D, Chase H, Flagel S, Huys Q, Konova A, Montague R, Paulus M. From Computation to Clinic. Biological Psychiatry Global Open Science 2023;3(3):319 View
  22. Perski O, Hébert E, Naughton F, Hekler E, Brown J, Businelle M. Technology‐mediated just‐in‐time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review. Addiction 2022;117(5):1220 View
  23. Leroux A, Rzasa-Lynn R, Crainiceanu C, Sharma T. Wearable Devices: Current Status and Opportunities in Pain Assessment and Management. Digital Biomarkers 2021;5(1):89 View
  24. Patterson J, Macisco J, Glasser A, Wermert A, Nemeth J, Ahmed S. Psychosocial factors influencing smoking relapse among youth experiencing homelessness: A qualitative study. PLOS ONE 2022;17(7):e0270665 View
  25. Hoeppner B, Siegel K, Dickerman S, Todi A, Kahler C, Park E, Hoeppner S. Testing the Outcomes of a Smoking Cessation Smartphone App for Nondaily Smokers: Protocol for a Proof-of-concept Randomized Controlled Trial. JMIR Research Protocols 2023;12:e40867 View
  26. Businelle M, Garey L, Gallagher M, Hébert E, Vujanovic A, Alexander A, Kezbers K, Matoska C, Robison J, Montgomery A, Zvolensky M. An Integrated mHealth App for Smoking Cessation in Black Smokers With Anxiety: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(5):e38905 View
  27. Kruse G, Joyce A, Yu L, Park E, Neil J, Chang Y, Rigotti N. A pilot adaptive trial of text messages, mailed nicotine replacement therapy, and telephone coaching among primary care patients who smoke. Journal of Substance Use and Addiction Treatment 2023;145:208930 View
  28. Cui Y, Robinson J, Rymer R, Minnix J, Cinciripini P. You Don't Need an App—Conducting Mobile Smoking Research Using a Qualtrics-Based Approach. Frontiers in Digital Health 2022;3 View
  29. Ra C, Pehlivan N, Kim H, Sussman S, Unger J, Businelle M. Smoking prevalence among Asian Americans: Associations with education, acculturation, and gender. Preventive Medicine Reports 2022;30:102035 View
  30. Jakob R, Harperink S, Rudolf A, Fleisch E, Haug S, Mair J, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(5):e35371 View
  31. Kabir K, Kenfield S, Van Blarigan E, Chan J, Wiese J. Ask the Users. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(2):1 View
  32. Oikonomidi T, Ravaud P, LeBeau J, Tran V. A systematic scoping review of just-in-time, adaptive interventions finds limited automation and incomplete reporting. Journal of Clinical Epidemiology 2023;154:108 View
  33. Amagai S, Pila S, Kaat A, Nowinski C, Gershon R. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120 View
  34. Nahum-Shani I, Potter L, Lam C, Yap J, Moreno A, Stoffel R, Wu Z, Wan N, Dempsey W, Kumar S, Ertin E, Murphy S, Rehg J, Wetter D. The mobile assistance for regulating smoking (MARS) micro-randomized trial design protocol. Contemporary Clinical Trials 2021;110:106513 View
  35. Benson L, Ra C, Hébert E, Kendzor D, Oliver J, Frank-Pearce S, Neil J, Businelle M. Quit Stage and Intervention Type Differences in the Momentary Within-Person Association Between Negative Affect and Smoking Urges. Frontiers in Digital Health 2022;4 View
  36. Manning V, Whelan D, Piercy H. The current evidence for substance use disorder apps. Current Opinion in Psychiatry 2022;35(4):237 View
  37. Dai R, Kannampallil T, Zhang J, Lv N, Ma J, Lu C. Multi-Task Learning for Randomized Controlled Trials. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(2):1 View
  38. Hébert E, Bhushan T, Ra C, Frank-Pearce S, Alexander A, Cole A, Kendzor D, Businelle M. Daily use of nicotine replacement medications is related to daily smoking status: An ecological momentary assessment study. Drug and Alcohol Dependence 2021;229:109161 View
  39. Garey L, Zvolensky M, Gallagher M, Vujanovic A, Kendzor D, Stephens L, Cheney M, Cole A, Kezbers K, Matoska C, Robison J, Montgomery A, Zappi C, Businelle M. A Smartphone-Based Intervention for Anxiety and Depression in Racially and Ethnically Diverse Adults (EASE): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(12):e40713 View
  40. Guo Y, Chen Y, Dabbs A, Wu Y. The Effectiveness of Smartphone App–Based Interventions for Assisting Smoking Cessation: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2023;25:e43242 View
  41. Fang Y, Zhang Z, Wang R, Yang B, Chen C, Nisa C, Tong X, Yan L. Effectiveness of eHealth Smoking Cessation Interventions: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e45111 View
  42. Liang M, Koslovsky M, Hébert E, Businelle M, Vannucci M. Functional Concurrent Regression Mixture Models Using Spiked Ewens-Pitman Attraction Priors. Bayesian Analysis 2023;-1(-1) View
  43. 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
  44. Chen J, Chu J, Marsh S, Shi T, Bullen C. Smartphone App-Based Interventions to Support Smoking Cessation in Smokers with Mental Health Conditions: A Systematic Review. Psych 2023;5(4):1077 View
  45. Naughton F, Hope A, Siegele-Brown C, Grant K, Barton G, Notley C, Mascolo C, Coleman T, Shepstone L, Sutton S, Prevost A, Crane D, Greaves F, High J. An Automated, Online Feasibility Randomized Controlled Trial of a Just-In-Time Adaptive Intervention for Smoking Cessation (Quit Sense). Nicotine and Tobacco Research 2023;25(7):1319 View
  46. Darharaj M, Roshanpajouh M, Amini M, Shrier L, Habibi Asgarabad M. The effectiveness of mobile-based ecological momentary motivational enhancement therapy in reducing craving and severity of cannabis use disorder: Study protocol for a randomized controlled trial. Internet Interventions 2023;34:100669 View
  47. Sifat M, Hébert E, Ahluwalia J, Businelle M, Waring J, Frank-Pearce S, Bryer C, Benson L, Madison S, Planas L, Baranskaya I, Kendzor D. Varenicline Combined With Oral Nicotine Replacement Therapy and Smartphone-Based Medication Reminders for Smoking Cessation: Feasibility Randomized Controlled Trial. JMIR Formative Research 2023;7:e48857 View
  48. Dowling N, Rodda S, Merkouris S. Applying the Just-In-Time Adaptive Intervention Framework to the Development of Gambling Interventions. Journal of Gambling Studies 2023 View
  49. Marler J, Fujii C, Utley M, Balbierz D, Galanko J, Utley D. Long-Term Outcomes of a Comprehensive Mobile Smoking Cessation Program With Nicotine Replacement Therapy in Adult Smokers: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e48157 View
  50. Eghdami S, Ahmadkhaniha H, Baradaran H, Hirbod-Mobarakeh A. Ecological momentary interventions for smoking cessation: a systematic review and meta-analysis. Social Psychiatry and Psychiatric Epidemiology 2023;58(10):1431 View
  51. Muench F, Madden S, Oommen S, Forthal S, Srinagesh A, Stadler G, Kuerbis A, Leeman R, Suffoletto B, Baumel A, Haslip C, Vadhan N, Morgenstern J. Automated, tailored adaptive mobile messaging to reduce alcohol consumption in help‐seeking adults: A randomized controlled trial. Addiction 2024;119(3):530 View
  52. Ghosh P. Mobile Apps in Psychiatry. Indian Journal of Private Psychiatry 2024;18(1):1 View
  53. Bizier A, Jones A, Businelle M, Kezbers K, Hoeppner B, Giordano T, Thai J, Charles J, Montgomery A, Gallagher M, Cheney M, Zvolensky M, Garey L. An Integrated mHealth App for Smoking Cessation in Black Smokers With HIV: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e52090 View
  54. Singh T, Truong M, Roberts K, Myneni S. Sequencing conversational turns in peer interactions: An integrated approach for evidence-based conversational agent for just-in-time nicotine cravings intervention. DIGITAL HEALTH 2024;10 View
  55. Koslovsky M, Pettee Gabriel K, Businelle M, Wetter D, Kendzor D. Dynamic Functional Variable Selection for Multimodal mHealth Data. Bayesian Analysis 2024;-1(-1) View
  56. Halliday D, Zawadzki M, Song A. Variances in Smoking Expectancies Predict Moment-to-Moment Smoking Behaviors in Everyday Life. International Journal of Behavioral Medicine 2024 View
  57. Naughton F, Hope A, Siegele-Brown C, Grant K, Notley C, Colles A, West C, Mascolo C, Coleman T, Barton G, Shepstone L, Prevost T, Sutton S, Crane D, Greaves F, High J. A smoking cessation smartphone app that delivers real-time ‘context aware’ behavioural support: the Quit Sense feasibility RCT. Public Health Research 2024:1 View
  58. Businelle M, Benson L, Hébert E, Neil J, Kendzor D, Frank-Pearce S, Kezbers K, Vidrine D, Gaur A. Project phoenix: Pilot randomized controlled trial of a smartphone-delivered intervention for people who are not ready to quit smoking. Drug and Alcohol Dependence 2024;260:111351 View
  59. Yang J, Piper M, Indic P, Buu A. Statistical methods for predicting e‐cigarette use events based on beat‐to‐beat interval (BBI) data collected from wearable devices. Statistics in Medicine 2024 View

Books/Policy Documents

  1. Nahum-Shani I, Wetter D, Murphy S. Digital Therapeutics for Mental Health and Addiction. View
  2. Puerta-Beldarrain M, Gómez-Carmona O, Casado-Mansilla D, López-de-Ipiña D. Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). View
  3. Bosschaerts K, Stragier J, Steenwinckel B, De Marez L, Van Hoecke S, Ongenae F. Pervasive Computing Technologies for Healthcare. View