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

Usability of Apps and User Perceptions of mHealth (902) Alcohol Abuse, Alcoholism Prevention and Recovery (286)

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 (19) Tweetations (4) Metrics

Journals

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  2. File D, Bőthe B, Kapitány‐Fövény M, Demetrovics Z. Efficacy of a complex smartphone application for reducing hazardous alcohol consumption: Study protocol for a randomized controlled trial with analysis of in‐app user behavior in relation to outcome. International Journal of Methods in Psychiatric Research 2020;29(4):1 View
  3. Yang Q, Hatch D, Crowley M, Lewinski A, Vaughn J, Steinberg D, Vorderstrasse A, Jiang M, Shaw R. Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis. JMIR mHealth and uHealth 2020;8(6):e17730 View
  4. 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
  5. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
  6. Feng S, Mäntymäki M, Dhir A, Salmela H. How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review. Journal of Medical Internet Research 2021;23(9):e25171 View
  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
  15. Baumann M, Weinberger N, Maia M, Schmid K. User types, psycho-social effects and societal trends related to the use of consumer health technologies. DIGITAL HEALTH 2023;9:205520762311639 View
  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