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

mHealth for Wellness, Behavior Change and Prevention (2754) Alcohol Abuse, Alcoholism Prevention and Recovery (286)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16217, first published .
Alcohol Avoidance Training as a Mobile App for Problem Drinkers: Longitudinal Feasibility Study

Alcohol Avoidance Training as a Mobile App for Problem Drinkers: Longitudinal Feasibility Study

Alcohol Avoidance Training as a Mobile App for Problem Drinkers: Longitudinal Feasibility Study

Authors of this article:

Melissa C Laurens1, 2 Author Orcid Image ;   Marcel E Pieterse1 Author Orcid Image ;   Marjolein Brusse-Keizer3 Author Orcid Image ;   Elske Salemink4, 5 Author Orcid Image ;   Somaya Ben Allouch2, 6 Author Orcid Image ;   Ernst T Bohlmeijer1 Author Orcid Image ;   Marloes G Postel1, 7 Author Orcid Image
Article Authors Cited by (18) Tweetations (4) Metrics

Journals

  1. Manning V, Piercy H, Garfield J, Lubman D. Personalized Approach Bias Modification Smartphone App (“SWIPE”) to Reduce Alcohol Use Among People Drinking at Hazardous or Harmful Levels: Protocol for an Open-Label Feasibility Study. JMIR Research Protocols 2020;9(8):e21278 View
  2. Ouimet A, Dixon-Luinenburg T, Rooyakkers M. Experimental Psychopathology at the Crossroads: Reflections on Past, Present, and Future Contributions to Cognitive Behavioural Therapy. International Journal of Cognitive Therapy 2021;14(1):133 View
  3. Manning V, Piercy H, Garfield J, Clark S, Andrabi M, Lubman D. A Personalized Approach Bias Modification Smartphone App (“SWiPE”) to Reduce Alcohol Use: Open-Label Feasibility, Acceptability, and Preliminary Effectiveness Study. JMIR mHealth and uHealth 2021;9(12):e31353 View
  4. 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
  5. Kip H, Bouman Y. A Perspective on the Integration of eHealth in Treatment of Offenders: Combining Technology and the Risk-Need-Responsivity Model. Frontiers in Psychiatry 2021;12 View
  6. Caponnetto P, Casu M. Update on Cyber Health Psychology: Virtual Reality and Mobile Health Tools in Psychotherapy, Clinical Rehabilitation, and Addiction Treatment. International Journal of Environmental Research and Public Health 2022;19(6):3516 View
  7. Manning V, Whelan D, Piercy H. The current evidence for substance use disorder apps. Current Opinion in Psychiatry 2022;35(4):237 View
  8. Manning V, Garfield J, Reynolds J, Staiger P, Piercy H, Bonomo Y, Lloyd‐Jones M, Jacka D, Wiers R, Verdejo‐Garcia A, Lubman D. Alcohol use in the year following approach bias modification during inpatient withdrawal: secondary outcomes from a double‐blind, multi‐site randomized controlled trial. Addiction 2022;117(11):2837 View
  9. Geerts J, Pieterse M, Laverman G, Waanders F, Oosterom N, Slegten J, Salemink E, Bode C. Cognitive Bias Modification Training Targeting Fatigue in Patients With Kidney Disease: Usability Study. JMIR Formative Research 2023;7:e43636 View
  10. Walter S, Stephan A. Situated Affectivity and Mind Shaping: Lessons from Social Psychology. Emotion Review 2023;15(1):3 View
  11. Colombo M. Computational Modelling for Alcohol Use Disorder. Erkenntnis 2024;89(1):271 View
  12. Bolt G, Piercy H, Barnett A, Manning V. ‘A circuit breaker’ – Interrupting the alcohol autopilot: A qualitative exploration of participants’ experiences of a personalised mHealth approach bias modification intervention for alcohol use. Addictive Behaviors Reports 2022;16:100471 View
  13. Prior K, Salemink E, Piggott M, Manning V, Wiers R, Teachman B, Teesson M, Baillie A, Mahoney A, McLellan L, Newton N, Stapinski L. Web-Based Cognitive Bias Modification Program for Young People With Social Anxiety and Hazardous Alcohol Use: Feasibility, Acceptability, and Preliminary Efficacy Study. JMIR Formative Research 2023;7:e46008 View
  14. Bolt G, Piercy H, Bradshaw J, Manning V. Smartphone‐delivered approach bias modification for reducing harmful drinking amongst middle–older age adults: Secondary analyses of a single‐arm pilot study. Drug and Alcohol Review 2024;43(4):956 View
  15. Altmannshofer S, Flaucher M, Beierlein M, Eskofier B, Beckmann M, Fasching P, Huebner H. A content-based review of mobile health applications for breast cancer prevention and education: Characteristics, quality and functionality analysis. DIGITAL HEALTH 2024;10 View
  16. Oesterle T, Hall-Flavin D, Bormann N, Loukianova L, Fipps D, Breitinger S, Gilliam W, Wu T, Correa da Costa S, Arndt S, Karpyak V. Therapeutic Content of Mobile Phone Applications for Substance Use Disorders: An Umbrella Review. Mayo Clinic Proceedings: Digital Health 2024;2(2):192 View

Books/Policy Documents

  1. Manning V, Bolt G. Handbook of Substance Misuse and Addictions. View
  2. Manning V, Bolt G. Handbook of Substance Misuse and Addictions. View