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

mHealth for Wellness, Behavior Change and Prevention (3093) Alcohol Abuse, Alcoholism Prevention and Recovery (318)

Published on in Vol 6, No 12 (2018): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11175, first published .
Predictors of Engagement, Response to Follow Up, and Extent of Alcohol Reduction in Users of a Smartphone App (Drink Less): Secondary Analysis of a Factorial Randomized Controlled Trial

Predictors of Engagement, Response to Follow Up, and Extent of Alcohol Reduction in Users of a Smartphone App (Drink Less): Secondary Analysis of a Factorial Randomized Controlled Trial

Predictors of Engagement, Response to Follow Up, and Extent of Alcohol Reduction in Users of a Smartphone App (Drink Less): Secondary Analysis of a Factorial Randomized Controlled Trial

Authors of this article:

Claire Garnett1 Author Orcid Image ;   Olga Perski1, 2 Author Orcid Image ;   Ildiko Tombor1 Author Orcid Image ;   Robert West1 Author Orcid Image ;   Susan Michie2 Author Orcid Image ;   Jamie Brown1 Author Orcid Image
Article Authors Cited by (26) Tweetations (24) Metrics

Journals

  1. Perski O, Naughton F, Garnett C, Blandford A, Beard E, West R, Michie S. Do Daily Fluctuations in Psychological and App-Related Variables Predict Engagement With an Alcohol Reduction App? A Series of N-Of-1 Studies. JMIR mHealth and uHealth 2019;7(10):e14098 View
  2. Nordholt P, Christalle E, Zill J, Dirmaier J. Engagement With a Web-Based Intervention to Reduce Harmful Drinking: Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(11):e18826 View
  3. Wilhelm S, Weingarden H, Ladis I, Braddick V, Shin J, Jacobson N. Cognitive-Behavioral Therapy in the Digital Age: Presidential Address. Behavior Therapy 2020;51(1):1 View
  4. Bell L, Garnett C, Qian T, Perski O, Potts H, Williamson E. Notifications to Improve Engagement With an Alcohol Reduction App: Protocol for a Micro-Randomized Trial. JMIR Research Protocols 2020;9(8):e18690 View
  5. Robinson H, Appelbe D, Dodd S, Flowers S, Johnson S, Jones S, Mateus C, Mezes B, Murray E, Rainford N, Rosala-Hallas A, Walker A, Williamson P, Lobban F. Methodological Challenges in Web-Based Trials: Update and Insights From the Relatives Education and Coping Toolkit Trial. JMIR Mental Health 2020;7(7):e15878 View
  6. Garnett C, Michie S, West R, Brown J. Updating the evidence on the effectiveness of the alcohol reduction app, Drink Less: using Bayes factors to analyse trial datasets supplemented with extended recruitment. F1000Research 2019;8:114 View
  7. Garnett C, Perski O, Beard E, Michie S, West R, Brown J. The impact of celebrity influence and national media coverage on users of an alcohol reduction app: a natural experiment. BMC Public Health 2021;21(1) View
  8. Goldstein S, Brick L, Thomas J, Forman E. Examination of the relationship between lapses and weight loss in a smartphone-based just-in time adaptive intervention. Translational Behavioral Medicine 2021;11(4):993 View
  9. Perski O, Watson N, Mull K, Bricker J. Identifying Content-Based Engagement Patterns in a Smoking Cessation Website and Associations With User Characteristics and Cessation Outcomes: A Sequence and Cluster Analysis. Nicotine & Tobacco Research 2021;23(7):1103 View
  10. Malte C, Dulin P, Baer J, Fortney J, Danner A, Lott A, Hawkins E. Usability and Acceptability of a Mobile App for the Self-Management of Alcohol Misuse Among Veterans (Step Away): Pilot Cohort Study. JMIR mHealth and uHealth 2021;9(4):e25927 View
  11. Coughlin L, Blow F, Walton M, Ignacio R, Walters H, Massey L, Barry K, McCormick R. Predictors of Booster Engagement Following a Web-Based Brief Intervention for Alcohol Misuse Among National Guard Members: Secondary Analysis of a Randomized Controlled Trial. JMIR Mental Health 2021;8(10):e29397 View
  12. Hors-Fraile S, Candel M, Schneider F, Malwade S, Nunez-Benjumea F, Syed-Abdul S, Fernandez-Luque L, de Vries H. Applying Collective Intelligence in Health Recommender Systems for Smoking Cessation: A Comparison Trial. Electronics 2022;11(8):1219 View
  13. Boucher E, Ward H, Mounts A, Parks A. Engagement in Digital Mental Health Interventions: Can Monetary Incentives Help?. Frontiers in Psychology 2021;12 View
  14. Abrantes A, Meshesha L, E Blevins C, Battle C, Lindsay C, Marsh E, Feltus S, Buman M, Agu E, Stein M. A Smartphone Physical Activity App for Patients in Alcohol Treatment: Single-Arm Feasibility Trial. JMIR Formative Research 2022;6(10):e35926 View
  15. Paz Castro R, Haug S, Debelak R, Jakob R, Kowatsch T, Schaub M. Engagement With a Mobile Phone–Based Life Skills Intervention for Adolescents and Its Association With Participant Characteristics and Outcomes: Tree-Based Analysis. Journal of Medical Internet Research 2022;24(1):e28638 View
  16. Khan A, Amin I, Sanders G, Imani S, Haffeez A, Khan A, Khan F, Siow Y. Using Mhealth as an Intervention for the Management of Alcohol Consumption - A Systematic Review and Market Analysis of Mobile Applications. SSRN Electronic Journal 2022 View
  17. Chung T, Ahn C, Suffoletto B. Trajectory classes of engagement with an alcohol text message intervention and predictors of intervention engagement. Addictive Behaviors 2023;144:107729 View
  18. Hoffman V, Flom M, Mariano T, Chiauzzi E, Williams A, Kirvin-Quamme A, Pajarito S, Durden E, Perski O. User Engagement Clusters of an 8-Week Digital Mental Health Intervention Guided by a Relational Agent (Woebot): Exploratory Study. Journal of Medical Internet Research 2023;25:e47198 View
  19. Lipschitz J, Pike C, Hogan T, Murphy S, Burdick K. The Engagement Problem: a Review of Engagement with Digital Mental Health Interventions and Recommendations for a Path Forward. Current Treatment Options in Psychiatry 2023;10(3):119 View
  20. Levine E, Sugarman D, Rockas M, McHugh R, Jordan C, Greenfield S. Alcohol Treatment Access and Engagement Among Women in the USA: a Targeted Review of the Literature 2012–2022. Current Addiction Reports 2023;10(4):638 View
  21. Kowalski L, Finnes A, Koch S, Bujacz A. User engagement with organizational mHealth stress management intervention – A mixed methods study. Internet Interventions 2024;35:100704 View
  22. Garnett C, Dinu L, Oldham M, Perski O, Loebenberg G, Beard E, Angus C, Burton R, Field M, Greaves F, Hickman M, Kaner E, Michie S, Munafò M, Pizzo E, Brown J. Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?. npj Digital Medicine 2024;7(1) View
  23. Searby A, Burr D. Determining the Acceptability of Targeted Apps for High-Risk Alcohol Consumption in Nurses: A Qualitative Study. Issues in Mental Health Nursing 2025;46(4):331 View
  24. Schettini G, Johansson M, Andersson S, Romero D, Berman A, Lindner P. Is internet-based cognitive behavioral therapy for alcohol use disorder equally effective for men and women? Implications of a secondary analysis of a clinical trial. Frontiers in Psychiatry 2024;15 View
  25. Siezenga A, Mertens E, Gelder J. To use and engage? Identifying distinct user types in interaction with a smartphone-based intervention. Computers in Human Behavior Reports 2025;17:100602 View
  26. Liu C, Messer M, Linardon J, Fuller-Tyszkiewicz M. Applying models of self-regulated learning to understand engagement with digital health interventions: a narrative review. Frontiers in Digital Health 2025;7 View