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

mHealth in a Clinical Setting (624) Addiction Medicine (30) Alcohol Abuse, Alcoholism Prevention and Recovery (303) Substance Abuse (428) Validity, Reliability, and Bias (94)

Published on in Vol 7, No 9 (2019): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15465, first published .
A Smartphone Attention Bias App for Individuals With Addictive Disorders: Feasibility and Acceptability Study

A Smartphone Attention Bias App for Individuals With Addictive Disorders: Feasibility and Acceptability Study

A Smartphone Attention Bias App for Individuals With Addictive Disorders: Feasibility and Acceptability 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 Elizabeth Smith3 Author Orcid Image
Article Authors Cited by (13) Tweetations (8) Metrics

Journals

  1. Zhang M, Heng S, Song G, Fung D, Smith H. Co-designing a Mobile Gamified Attention Bias Modification Intervention for Substance Use Disorders: Participatory Research Study. JMIR mHealth and uHealth 2019;7(10):e15871 View
  2. 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
  3. Zhang M, Smith H. Cognitive Bias Modification for Addictive Disorders: Emerging Knowledge and Persistent Gaps. Psychiatry International 2020;1(2):75 View
  4. Zhang K. Editorial: Application of New Technologies in the Treatment of Substance Use Disorders. Frontiers in Psychiatry 2021;12 View
  5. Zhang M, Smith H. Challenges When Evaluating Cognitive Bias Modification Interventions for Substance Use Disorder. International Journal of Environmental Research and Public Health 2020;17(21):7821 View
  6. 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
  7. Lau J, Abdin E, Vaingankar J, Shafie S, Sambasivam R, Shahwan S, Thumboo J, Chong S, Subramaniam M. Confirmatory factor analysis and measurement invariance of the English, Mandarin, and Malay versions of the SF-12v2 within a representative sample of the multi-ethnic Singapore population. Health and Quality of Life Outcomes 2021;19(1) View
  8. Chen T, Su H, Wang L, Li X, Wu Q, Zhong N, Du J, Meng Y, Duan C, Zhang C, Shi W, Xu D, Song W, Zhao M, Jiang H. Modulation of Methamphetamine-Related Attention Bias by Intermittent Theta-Burst Stimulation on Left Dorsolateral Prefrontal Cortex. Frontiers in Cell and Developmental Biology 2021;9 View
  9. Murphy J, McSharry J, Hynes L, Molloy G. A Smartphone App to Support Adherence to Inhaled Corticosteroids in Young Adults With Asthma: Multi-Methods Feasibility Study. JMIR Formative Research 2021;5(9):e28784 View
  10. Wu X, Du J, Jiang H, Zhao M. Application of Digital Medicine in Addiction. Journal of Shanghai Jiaotong University (Science) 2022;27(2):144 View
  11. Boyett B, Wiest K, McLeod L, Nelson L, Bickel W, Learned S, Heidbreder C, Fudala P, Le Moigne A, Zhao Y. Assessment of craving in opioid use disorder: Psychometric evaluation and predictive validity of the opioid craving VAS. Drug and Alcohol Dependence 2021;229:109057 View
  12. Schilt T, Ruijter E, Godeschalk N, van Haaster M, Goudriaan A. The Use of Smartphone Serious Gaming Apps in the Treatment of Substance Use Disorders: Observational Study on Feasibility and Acceptability. JMIR Formative Research 2022;6(9):e34159 View
  13. Lyzwinski L, Elgendi M, Menon C. Users' Acceptability and Perceived Efficacy of mHealth for Opioid Use Disorder: Scoping Review. JMIR mHealth and uHealth 2024;12:e49751 View