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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377) mHealth for Wellness, Behavior Change and Prevention (2922)

Published on in Vol 4, No 3 (2016): Jul-Sept

This is a member publication of Queensland University of Technology, Australia

The Quality and Accuracy of Mobile Apps to Prevent Driving After Drinking Alcohol

The Quality and Accuracy of Mobile Apps to Prevent Driving After Drinking Alcohol

The Quality and Accuracy of Mobile Apps to Prevent Driving After Drinking Alcohol

Authors of this article:

Hollie Wilson1 Author Orcid Image ;   Stoyan R Stoyanov2 Author Orcid Image ;   Shailen Gandabhai1 Author Orcid Image ;   Alexander Baldwin1 Author Orcid Image
Article Authors Cited by (32) Tweetations (42) Metrics

Journals

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  20. Stein D, Shoptaw S, Vigo D, Lund C, Cuijpers P, Bantjes J, Sartorius N, Maj M. Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration. World Psychiatry 2022;21(3):393 View
  21. Martin-Payo R, Carrasco-Santos S, Cuesta M, Stoyan S, Gonzalez-Mendez X, Fernandez-Alvarez M. Spanish adaptation and validation of the User Version of the Mobile Application Rating Scale (uMARS). Journal of the American Medical Informatics Association 2021;28(12):2681 View
  22. Ramos G, Ponting C, Labao J, Sobowale K. Considerations of diversity, equity, and inclusion in mental health apps: A scoping review of evaluation frameworks. Behaviour Research and Therapy 2021;147:103990 View
  23. Mubin O, Cai B, Al Mahmud A, Kharub I, Lwin M, Khan A. A Preliminary Evaluation of Mobile Phone Apps to Curb Alcohol Consumption. International Journal of Environmental Research and Public Health 2021;19(1):135 View
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  28. Jama D, Sekuła K, Zuba D. Analysis of the most popular online BAC calculators = Analiza najpopularniejszych dostępnych w sieci „kalkulatorów trzeźwości”. Problems of Forensic Sciences 2024;(136):321 View
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