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

mHealth in a Clinical Setting (579) Addiction Medicine (19) Alcohol Abuse, Alcoholism Prevention and Recovery (283) Substance Abuse (379) Validity, Reliability, and Bias (89)

Published on in Vol 7, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16325, first published .
Making Sense of Negative Findings from Mobile Attention Bias Modification Interventions for Individuals with Addictive Disorders: Quantitative Feasibility Study

Making Sense of Negative Findings from Mobile Attention Bias Modification Interventions for Individuals with Addictive Disorders: Quantitative Feasibility Study

Making Sense of Negative Findings from Mobile Attention Bias Modification Interventions for Individuals with Addictive Disorders: Quantitative Feasibility Study

Authors of this article:

Melvyn Zhang1 Author Orcid Image ;   Jiangbo Ying1 Author Orcid Image ;   Syidda B Amron1 Author Orcid Image ;   Zaakira Mahreen1 Author Orcid Image ;   Guo Song1 Author Orcid Image ;   Daniel SS Fung2 Author Orcid Image ;   Helen E Smith3 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Zhang M, Heng S, Amron S, Mahreen Z, Song G, Fung D, Smith H. Gamified M-Health Attention Bias Modification Intervention for Individuals with Opioid Use Disorder: Protocol for a Pilot Randomised Study. International Journal of Environmental Research and Public Health 2020;17(3):752 View
  2. Zhang M, Fung D, Smith H. A Literature Review of Attentional Biases amongst Individuals with Substance Dependency: Individual Differences and Modulating Factors. Psychiatry International 2020;1(2):125 View