Published on in Vol 18, No 12 (2016): December

An Ecological Momentary Intervention for Smoking Cessation: Evaluation of Feasibility and Effectiveness

An Ecological Momentary Intervention for Smoking Cessation: Evaluation of Feasibility and Effectiveness

An Ecological Momentary Intervention for Smoking Cessation: Evaluation of Feasibility and Effectiveness

Journals

  1. Harvey E, Rubin L, Smiley S, Zhou Y, Elmasry H, Pearson J. Mobile Phone Ownership Is Not a Serious Barrier to Participation in Studies: Descriptive Study. JMIR mHealth and uHealth 2018;6(2):e21 View
  2. Hébert E, Ra C, Alexander A, Helt A, Moisiuc R, Kendzor D, Vidrine D, Funk-Lawler R, Businelle M. A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(3):e16907 View
  3. Vinci C. Cognitive Behavioral and Mindfulness-Based Interventions for Smoking Cessation: a Review of the Recent Literature. Current Oncology Reports 2020;22(6) View
  4. Kruse G, Park E, Shahid N, Abroms L, Haberer J, Rigotti N. Combining Real-Time Ratings With Qualitative Interviews to Develop a Smoking Cessation Text Messaging Program for Primary Care Patients. JMIR mHealth and uHealth 2019;7(3):e11498 View
  5. Ali R, Zhang Z, Soomro M. Smoking-Cessation Acceptance Via Mobile Health and Quick Response Code Technologies: Empirical Evidence of a Pilot Study from China and Pakistan. Current Psychology 2021;40(12):6085 View
  6. Lee E, Bekalu M, McCloud R, Vallone D, Arya M, Osgood N, Li X, Minsky S, Viswanath K. The Potential of Smartphone Apps in Informing Protobacco and Antitobacco Messaging Efforts Among Underserved Communities: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(7):e17451 View
  7. Engelhard M, Oliver J, Henao R, Hallyburton M, Carin L, Conklin C, McClernon F. Identifying Smoking Environments From Images of Daily Life With Deep Learning. JAMA Network Open 2019;2(8):e197939 View
  8. Reingle Gonzalez J, Businelle M, Kendzor D, Staton M, North C, Swartz M. Using mHealth to Increase Treatment Utilization Among Recently Incarcerated Homeless Adults (Link2Care): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2018;7(6):e151 View
  9. Vilardaga R, Rizo J, Palenski P, Mannelli P, Oliver J, Mcclernon F. Pilot Randomized Controlled Trial of a Novel Smoking Cessation App Designed for Individuals With Co-Occurring Tobacco Use Disorder and Serious Mental Illness. Nicotine & Tobacco Research 2020;22(9):1533 View
  10. 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
  11. Suchting R, Hébert E, Ma P, Kendzor D, Businelle M. Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse. Nicotine & Tobacco Research 2019;21(2):173 View
  12. Horvath K, Lammert S, LeGrand S, Muessig K, Bauermeister J. Using technology to assess and intervene with illicit drug-using persons at risk for HIV. Current Opinion in HIV and AIDS 2017;12(5):458 View
  13. Hébert E, Stevens E, Frank S, Kendzor D, Wetter D, Zvolensky M, Buckner J, Businelle M. An ecological momentary intervention for smoking cessation: The associations of just-in-time, tailored messages with lapse risk factors. Addictive Behaviors 2018;78:30 View
  14. Montgomery S, Donnelly M, Bhatnagar P, Carlin A, Kee F, Hunter R. Peer social network processes and adolescent health behaviors: A systematic review. Preventive Medicine 2020;130:105900 View
  15. Koslovsky M, Hébert E, Swartz M, Chan W, Leon-Novelo L, Wilkinson A, Kendzor D, Businelle M. The Time-Varying Relations Between Risk Factors and Smoking Before and After a Quit Attempt. Nicotine & Tobacco Research 2018;20(10):1231 View
  16. Businelle M, Walters S, Mun E, Kirchner T, Hébert E, Li X. Reducing Drinking Among People Experiencing Homelessness: Protocol for the Development and Testing of a Just-in-Time Adaptive Intervention. JMIR Research Protocols 2020;9(4):e15610 View
  17. Paz Castro R, Haug S, Filler A, Kowatsch T, Schaub M. Engagement Within a Mobile Phone–Based Smoking Cessation Intervention for Adolescents and its Association With Participant Characteristics and Outcomes. Journal of Medical Internet Research 2017;19(11):e356 View
  18. Yin K, Laranjo L, Tong H, Lau A, Kocaballi A, Martin P, Vagholkar S, Coiera E. Context-Aware Systems for Chronic Disease Patients: Scoping Review. Journal of Medical Internet Research 2019;21(6):e10896 View
  19. Spears C, Abroms L, Glass C, Hedeker D, Eriksen M, Cottrell-Daniels C, Tran B, Wetter D. Mindfulness-Based Smoking Cessation Enhanced With Mobile Technology (iQuit Mindfully): Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(6):e13059 View
  20. Chu K, Matheny S, Escobar-Viera C, Wessel C, Notier A, Davis E. Smartphone health apps for tobacco Cessation: A systematic review. Addictive Behaviors 2021;112:106616 View
  21. Cooper M, Case K, Hébert E, Vandewater E, Raese K, Perry C, Businelle M. Characterizing ENDS use in young adults with ecological momentary assessment: Results from a pilot study. Addictive Behaviors 2019;91:30 View
  22. Heffner J, Watson N, Serfozo E, Mull K, MacPherson L, Gasser M, Bricker J. A Behavioral Activation Mobile Health App for Smokers With Depression: Development and Pilot Evaluation in a Single-Arm Trial. JMIR Formative Research 2019;3(4):e13728 View
  23. Lewczuk K, Gorowska M, Li Y, Gola M. Mobile Internet Technologies, Ecological Momentary Assessment, and Intervention—Poison and Remedy for New Online Problematic Behaviors in ICD-11. Frontiers in Psychiatry 2020;11 View
  24. Burrows C, Dallery J, Kim S, Raiff B. Validity of a Functional Assessment for Smoking Treatment Recommendations Questionnaire. The Psychological Record 2020;70(2):215 View
  25. Masaki K, Tateno H, Kameyama N, Morino E, Watanabe R, Sekine K, Ono T, Satake K, Suzuki S, Nomura A, Betsuyaku T, Fukunaga K. Impact of a Novel Smartphone App (CureApp Smoking Cessation) on Nicotine Dependence: Prospective Single-Arm Interventional Pilot Study. JMIR mHealth and uHealth 2019;7(2):e12694 View
  26. Vilardaga R, Casellas-Pujol E, McClernon J, Garrison K. Mobile Applications for the Treatment of Tobacco Use and Dependence. Current Addiction Reports 2019;6(2):86 View
  27. Miralles I, Granell C, Díaz-Sanahuja L, Van Woensel W, Bretón-López J, Mira A, Castilla D, Casteleyn S. Smartphone Apps for the Treatment of Mental Disorders: Systematic Review. JMIR mHealth and uHealth 2020;8(4):e14897 View
  28. Silverman-Lloyd L, Kianoush S, Blaha M, Sabina A, Graham G, Martin S. mActive-Smoke: A Prospective Observational Study Using Mobile Health Tools to Assess the Association of Physical Activity With Smoking Urges. JMIR mHealth and uHealth 2018;6(5):e121 View
  29. 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
  30. Nakajima M, Lemieux A, Fiecas M, Chatterjee S, Sarker H, Saleheen N, Ertin E, Kumar S, al'Absi M. Using novel mobile sensors to assess stress and smoking lapse. International Journal of Psychophysiology 2020;158:411 View
  31. Neff A, Lee Y, Metts C, Wong A. Ecological Momentary Assessment of Social Interactions: Associations With Depression, Anxiety, Pain, and Fatigue in Individuals With Mild Stroke. Archives of Physical Medicine and Rehabilitation 2021;102(3):395 View
  32. 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
  33. Eisele G, Vachon H, Myin-Germeys I, Viechtbauer W. Reported Affect Changes as a Function of Response Delay: Findings From a Pooled Dataset of Nine Experience Sampling Studies. Frontiers in Psychology 2021;12 View
  34. Hu Y, Xie J, Chang X, Chen J, Wang W, Zhang L, Zhong R, Chen O, Yu X, Zou Y. Characteristics and Predictors of Abstinence Among Smokers of a Smoking Cessation Clinic in Hunan China. Frontiers in Public Health 2021;9 View
  35. Mun E, Li X, Businelle M, Hébert E, Tan Z, Barnett N, Walters S. Ecological Momentary Assessment of Alcohol Consumption and Its Concordance with Transdermal Alcohol Detection and Timeline Follow‐Back Self‐report Among Adults Experiencing Homelessness. Alcoholism: Clinical and Experimental Research 2021;45(4):864 View
  36. Xu X, Chen S, Chen J, Chen Z, Fu L, Song D, Zhao M, Jiang H. Feasibility and Preliminary Efficacy of a Community-Based Addiction Rehabilitation Electronic System in Substance Use Disorder: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(4):e21087 View
  37. Koslovsky M, Hébert E, Businelle M, Vannucci M. A Bayesian time-varying effect model for behavioral mHealth data. The Annals of Applied Statistics 2020;14(4) View
  38. Dallery J, Stinson L, Bolívar H, Modave F, Salloum R, Viramontes T, Rohilla P. mMotiv8: A smartphone‐based contingency management intervention to promote smoking cessation. Journal of Applied Behavior Analysis 2021;54(1):38 View
  39. 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
  40. 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
  41. Santa Maria D, Padhye N, Businelle M, Yang Y, Jones J, Sims A, Lightfoot M. Efficacy of a Just-in-Time Adaptive Intervention to Promote HIV Risk Reduction Behaviors Among Young Adults Experiencing Homelessness: Pilot Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(7):e26704 View
  42. Hoemann K, Barrett L, Quigley K. Emotional Granularity Increases With Intensive Ambulatory Assessment: Methodological and Individual Factors Influence How Much. Frontiers in Psychology 2021;12 View
  43. 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
  44. Braciszewski J. Digital Technology for Suicide Prevention. Advances in Psychiatry and Behavioral Health 2021;1(1):53 View
  45. Gorowska M, Tokarska K, Zhou X, Gola M, Li Y. Novel approaches for treating Internet Gaming Disorder: A review of technology-based interventions. Comprehensive Psychiatry 2022;115:152312 View
  46. 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
  47. McInnes D, Dunlap S, Fix G, Foster M, Conti J, Roncarati J, Hyde J. Longitudinal high-frequency ethnographic interviewing to simulate and prepare for intensive smartphone data collection among veterans with homeless experience. Frontiers in Digital Health 2022;4 View
  48. Collombon E, Peels D, Bolman C, de Bruijn G, Lechner L. Adding Mobile Elements to Online Physical Activity Interventions for Adults Aged Over 50 Years: Prototype Development Study. JMIR Formative Research 2023;7:e42394 View
  49. Ji Y. When Distal Group Norms Work: Testing Effectiveness of Distal Norm-based Messages as a Function of Desirability-motivated Identification. Communication Studies 2022;73(1):36 View
  50. 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
  51. 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
  52. 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
  53. Gajos J, Hawes E, Chana S, Mrug S, Wolford-Clevenger C, Businelle M, Carpenter M, Cropsey K. Daily adherence to nicotine replacement therapy in low-income smokers: The role of gender, negative mood, motivation, and self-efficacy. Addictive Behaviors 2023;138:107543 View
  54. White B, Burns S, Giglia R, Dhaliwal S, Scott J. Measuring User Engagement with a Socially Connected, Gamified Health Promotion Mobile App. International Journal of Environmental Research and Public Health 2022;19(9):5626 View
  55. 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
  56. 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
  57. Pavlacic J, Schulenberg S, Witcraft S, Buchanan E. Assessing the Effectiveness and Utility of a Mindfulness-Based Ecological Momentary Intervention in College Students. Journal of Technology in Behavioral Science 2022;7(4):554 View
  58. Liao Y, Tang J. Feasibility and Acceptability of a Cognitive Behavioral Therapy-Based Smartphone App for Smoking Cessation in China: A Single-Group Cohort Study. Frontiers in Psychiatry 2022;12 View
  59. 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
  60. Liang M, Koslovsky M, Hébert E, Businelle M, Vannucci M. Functional Concurrent Regression Mixture Models Using Spiked Ewens-Pitman Attraction Priors. Bayesian Analysis 2024;19(4) View
  61. Zhang M, He W, Luk T, Wang M, Chan S, Cheung Y. Effectiveness of personalized smoking cessation intervention based on ecological momentary assessment for smokers who prefer unaided quitting: protocol for a randomized controlled trial. Frontiers in Public Health 2023;11 View
  62. Tonkin S, Kezbers K, Noble B, Cropsey K, Kendzor D, Oliver J, Businelle M. Comparison of the Bluetooth iCOquit, piCO, and Vitalograph for the assessment of breath carbon monoxide among adults initiating smoking cessation and standardized canisters. Drug and Alcohol Dependence 2023;250:110902 View
  63. Ji L, Li Y, Potter L, Lam C, Nahum-Shani I, Wetter D, Chow S. Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data. Frontiers in Digital Health 2023;5 View
  64. Pimpini L, Franssen S, Reber P, Jansen A, Roefs A. Effects of a health versus hedonic mindset on daily‐life snacking behaviour. Journal of Human Nutrition and Dietetics 2023;36(5):2085 View
  65. 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;40(2):717 View
  66. Xu Z, Smit E. Using a complexity science approach to evaluate the effectiveness of just-in-time adaptive interventions: A meta-analysis. DIGITAL HEALTH 2023;9 View
  67. 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
  68. 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
  69. Park N, Jang S. App-Based Digital Health Equity Determinants According to Ecological Models: Scoping Review. Sustainability 2024;16(6):2232 View
  70. Ulm C, Chen S, Fleshman B, Benson L, Kendzor D, Frank-Pearce S, Neil J, Vidrine D, De La Torre I, 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
  71. 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
  72. Altweck L, Schmidt S, Tomczyk S. Daily Time-Use Patterns and Quality of Life in Parents: Protocol for a Pilot Quasi-Experimental, Nonrandomized Controlled Trial Using Ecological Momentary Assessment. JMIR Research Protocols 2024;13:e54728 View
  73. Businelle M, Perski O, Hébert E, Kendzor D. Mobile Health Interventions for Substance Use Disorders. Annual Review of Clinical Psychology 2024;20(1):49 View
  74. Businelle M, Becerra J, Witten C, Chen S, Kezbers K, Beebe L, Kendzor D. Smartphone-Based Smoking Cessation Intervention (OKquit) for Oklahoma Tobacco Helpline Users: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e56827 View
  75. Businelle M, Hébert E, Shi D, Benson L, Kezbers K, Tonkin S, Piper M, Qian T. Investigating Best Practices for Ecological Momentary Assessment: Nationwide Factorial Experiment. Journal of Medical Internet Research 2024;26:e50275 View
  76. Åsbring N, Dini S, Madsen S, Stjernschantz Forsberg J. Can a smoking cessation app benefit individuals in disadvantaged areas? A qualitative study on motivation, barriers, and perceptions of a digital app. Preventive Medicine Reports 2024;48:102925 View
  77. Hsu T, Whelan P, Gandrup J, Armitage C, Cordingley L, McBeth J. Personalized interventions for behaviour change: A scoping review of just‐in‐time adaptive interventions. British Journal of Health Psychology 2025;30(1) View
  78. Tesfaye L, Wakeman M, Baskin G, Gruse G, Gregory T, Leahy E, Kendrick B, El-Toukhy S, Ayatollahi H. A feature-based qualitative assessment of smoking cessation mobile applications. PLOS Digital Health 2024;3(11):e0000658 View
  79. Garey L, Robison J, Matoska C, Montgomery A, Jones A, Hébert E, Vujanovic A, Kezbers K, Cheney M, Gallagher M, Obasi E, Zvolensky M, Businelle M. A proof-of-concept trial of a smoking cessation and anxiety sensitivity reduction smartphone application for Black adults. Cognitive Behaviour Therapy 2024:1 View

Books/Policy Documents

  1. Raiff B, Burrows C, Nastasi J, Upton C, Dwyer M. Functional Analysis in Clinical Treatment. View
  2. . The Cambridge Handbook of Research Methods in Clinical Psychology. View
  3. Ferguson S, Jahnel T, Elliston K, Shiffman S. The Cambridge Handbook of Research Methods in Clinical Psychology. View
  4. Nahum-Shani I, Wetter D, Murphy S. Digital Therapeutics for Mental Health and Addiction. View
  5. Schulte-Strathaus J, Rauschenberg C, Baumeister H, Reininghaus U. Digital Phenotyping and Mobile Sensing. View
  6. Dallery J, Stinson L, Villegas A. Handbook of Applied Behavior Analysis. View