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

Usability of Apps and User Perceptions of mHealth (993) Alcohol Abuse, Alcoholism Prevention and Recovery (303)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11692, first published .
Developing Typologies of User Engagement With the BRANCH Alcohol-Harm Reduction Smartphone App: Qualitative Study

Developing Typologies of User Engagement With the BRANCH Alcohol-Harm Reduction Smartphone App: Qualitative Study

Developing Typologies of User Engagement With the BRANCH Alcohol-Harm Reduction Smartphone App: Qualitative Study

Authors of this article:

Joanna Milward1 Author Orcid Image ;   Paolo Deluca1 Author Orcid Image ;   Colin Drummond1 Author Orcid Image ;   Andreas Kimergård1 Author Orcid Image
Article Authors Cited by (21) Tweetations (4) Metrics

Journals

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  7. Williamson C, Rona R, Simms A, Fear N, Goodwin L, Murphy D, Leightley D. Recruiting Military Veterans into Alcohol Misuse Research: The Role of Social Media and Facebook Advertising. Telemedicine and e-Health 2023;29(1):93 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. Lo B, Pham Q, Sockalingam S, Wiljer D, Strudwick G. Identifying essential factors that influence user engagement with digital mental health tools in clinical care settings: Protocol for a Delphi study. DIGITAL HEALTH 2022;8:205520762211290 View
  10. Motahar T, Wiese J. A Review of Personal Informatics Research for People with Motor Disabilities. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(2):1 View
  11. Ding M, Wang W. Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model. International Journal of Human–Computer Interaction 2024;40(10):2560 View
  12. Nascimento L, Campos A, Figueiredo S, Nitschke R, Moncada M, Viegas S. TECHNOSOCIALITY AND HEALTH PROMOTION IN THE DAILY LIVES OF PRIMARY CARE USERS: A SCOPING REVIEW. Texto & Contexto - Enfermagem 2021;30 View
  13. Colonna R, Alvarez L. Characteristics of mobile-based brief interventions targeting substance use among youth: a rapid review. Journal of Substance Use 2023;28(3):293 View
  14. Williamson C, Dryden D, Palmer L, Rona R, Simms A, Fear N, Goodwin L, Murphy D, Leightley D. An Expert and Veteran User Assessment of the Usability of an Alcohol Reduction App for Military Veterans, Drinks: Ration: A Mixed-Methods Pilot Study. Military Behavioral Health 2023;11(1-2):14 View
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  16. Kabir K, Wiese J. A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics Systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1 View
  17. Ferretti A, Hubbs S, Vayena E. Global youth perspectives on digital health promotion: a scoping review. BMC Digital Health 2023;1(1) View
  18. 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
  19. Park L, Kornfield R, Yezihalem M, Quanbeck A, Mellinger J, German M. Testing a Digital Health App for Patients With Alcohol-Associated Liver Disease: Mixed Methods Usability Study. JMIR Formative Research 2023;7:e47404 View
  20. Sedotto R, Edwards A, Dulin P, King D. Brief report: Aging adult utilization of an mHealth intervention for problem drinking. Frontiers in Public Health 2024;12 View
  21. Werner M, Bischof A. The double-edged sword of self-tracking: investigating factors of technostress in performance-oriented cycling and triathlon. Frontiers in Sports and Active Living 2024;6 View