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

mHealth for Wellness, Behavior Change and Prevention (2872) Mobile Health (mhealth) (2941) Alcohol Abuse, Alcoholism Prevention and Recovery (300) Substance Abuse (419) Games and Gamification for Health (650) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (493) Registered Report (561) Design and Formative Evaluation of Mobile Apps (695) Validity, Reliability, and Bias (93)

Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31353, first published .
A Personalized Approach Bias Modification Smartphone App (“SWiPE”) to Reduce Alcohol Use: Open-Label Feasibility, Acceptability, and Preliminary Effectiveness Study

A Personalized Approach Bias Modification Smartphone App (“SWiPE”) to Reduce Alcohol Use: Open-Label Feasibility, Acceptability, and Preliminary Effectiveness Study

A Personalized Approach Bias Modification Smartphone App (“SWiPE”) to Reduce Alcohol Use: Open-Label Feasibility, Acceptability, and Preliminary Effectiveness Study

Authors of this article:

Victoria Manning1, 2 Author Orcid Image ;   Hugh Piercy1, 2 Author Orcid Image ;   Joshua Benjamin Bernard Garfield1, 2 Author Orcid Image ;   Stuart Gregory Clark3 Author Orcid Image ;   Mah Noor Andrabi4 Author Orcid Image ;   Dan Ian Lubman1, 2 Author Orcid Image
Article Authors Cited by (13) Tweetations (12) Metrics

Victoria Manning   1, 2 * , BSc, MSb, PhD ;   Hugh Piercy   1, 2 * , BA ;   Joshua Benjamin Bernard Garfield   1, 2 * , BSc, PhD ;   Stuart Gregory Clark   3 * , BPsych ;   Mah Noor Andrabi   4 * , BSc ;   Dan Ian Lubman   1, 2 * , BSc, MB ChB, PhD

1 Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Australia

2 Turning Point, Eastern Health, Melbourne, Australia

3 School of Psychological Sciences, Monash University, Melbourne, Australia

4 School of Medicine, Monash University, Melbourne, Australia

*all authors contributed equally

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