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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (491) mHealth for Wellness, Behavior Change and Prevention (2871) Alcohol Abuse, Alcoholism Prevention and Recovery (300)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23369, first published .
Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study

Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study

Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study

Authors of this article:

Lauren Bell1 Author Orcid Image ;   Claire Garnett2 Author Orcid Image ;   Tianchen Qian3 Author Orcid Image ;   Olga Perski2 Author Orcid Image ;   Elizabeth Williamson1, 4 Author Orcid Image ;   Henry WW Potts4, 5 Author Orcid Image
Article Authors Cited by (18) Tweetations (12) Metrics

Journals

  1. 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
  2. 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
  3. Chatterjee A, Prinz A, Gerdes M, Martinez S, Pahari N, Meena Y. ProHealth eCoach: user-centered design and development of an eCoach app to promote healthy lifestyle with personalized activity recommendations. BMC Health Services Research 2022;22(1) View
  4. Dulin P, Mertz R, Edwards A, King D. Contrasting a Mobile App With a Conversational Chatbot for Reducing Alcohol Consumption: Randomized Controlled Pilot Trial. JMIR Formative Research 2022;6(5):e33037 View
  5. Seiterö A, Thomas K, Löf M, Müssener U. Exploring the Black Box of an mHealth Intervention (LIFE4YOUth): A Qualitative Process and Outcome Evaluation of End-User Engagement. International Journal of Environmental Research and Public Health 2022;19(21):14022 View
  6. Buller D, Pagoto S, Henry K, Baker K, Walkosz B, Hillhouse J, Berteletti J, Bibeau J. Effects of Engagement with a Social Media Campaign for Mothers to Prevent Indoor Tanning by Teens in a Randomized Trial. Journal of Health Communication 2022;27(6):394 View
  7. Garnett C, Perski O, Michie S, West R, Field M, Kaner E, Munafò M, Greaves F, Hickman M, Burton R, Brown J. Refining the content and design of an alcohol reduction app, Drink Less, to improve its usability and effectiveness: a mixed methods approach. F1000Research 2021;10:511 View
  8. Williamson C, White K, Rona R, Simms A, Fear N, Goodwin L, Murphy D, Leightley D. Smartphone-Based Alcohol Interventions: A Systematic Review on the Role of Notifications in Changing Behaviors toward Alcohol. Substance Abuse 2022;43(1):1231 View
  9. Bell L, Garnett C, Bao Y, Cheng Z, Qian T, Perski O, Potts H, Williamson E. How Notifications Affect Engagement With a Behavior Change App: Results From a Micro-Randomized Trial. JMIR mHealth and uHealth 2023;11:e38342 View
  10. Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500 View
  11. Günther F, Wong D, Elison-Davies S, Yau C. Identifying factors associated with user retention and outcomes of a digital intervention for substance use disorder: a retrospective analysis of real-world data. JAMIA Open 2023;6(3) View
  12. Chan G, Nwagu C, Odenigbo I, Alslaity A, Orji R. The Shape of Mobile Health: A Systematic Review of Health Visualization on Mobile Devices. International Journal of Human–Computer Interaction 2024:1 View
  13. Gryglewicz K, Orr V, McNeil M, Taliaferro L, Hines S, Duffy T, Wisniewski P. Translating Suicide Safety Planning Components Into the Design of mHealth App Features: Systematic Review. JMIR Mental Health 2024;11:e52763 View
  14. Liu X, Qian T, Bell L, Chakraborty B. Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes. Biometrics 2024;80(2) View
  15. Jakob R, Narauskas J, Fleisch E, König L, Kowatsch T. Factors associated with adherence to a public mobile nutritional health intervention: Retrospective cohort study. Computers in Human Behavior Reports 2024;15:100445 View
  16. 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
  17. Tan X, Suo X, Li W, Bi L, Yao F. Data visualization in healthcare and medicine: a survey. The Visual Computer 2024 View