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JMIR is the leading peer-reviewed eHealth/mHealth journal (Impact Factor: 4.7),
ranked #1 in Medical Informatics, and #2 in Health Sciences/Health Services Research - Now publishing daily!


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Recent Articles

Online and Social Networking Interventions for the Treatment of Depression in Young People: A Systematic Review
by Simon M. Rice, Joanne Goodall, Sarah E. Hetrick, Alexandra G. Parker, Tamsyn Gilbertson, G. Paul Amminger, Christopher G. Davey, Patrick D. McGorry, John Gleeson, Mario Alvarez-Jimenez
(Published on 16 Sep 2014)
Background: Major depression accounts for the greatest burden of all diseases globally. The peak onset of depression occurs between adolescence and young adulthood, and for many individuals, depression displays a relapse-remitting and increasingly severe course. Given this, the development of cost-effective, acceptable, and population-focused interventions for depression is critical. A number of online interventions (both prevention and acute phase) have been tested in young people with promising results. As these interventions differ in content, clinician input, and modality, it is important to identify key features (or unhelpful functions) associated with treatment outcomes. Objective: A systematic review of the research literature was undertaken. The review was designed to focus on...
 
 
mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use
by Thomas Lorchan Lewis, Jeremy C Wyatt
(Published on 15 Sep 2014)
The use of mobile medical apps by clinicians and others has grown considerably since the introduction of mobile phones. Medical apps offer clinicians the ability to access medical knowledge and patient data at the point of care, but several studies have highlighted apps that could compromise patient safety and are potentially dangerous. This article identifies a range of different kinds of risks that medical apps can contribute to and important contextual variables that can modify these risks. We have also developed a simple generic risk framework that app users, developers, and other stakeholders can use to assess the likely risks posed by a specific app in a specific context. This should help app commissioners, developers, and users to manage risks and improve patient safety.
 
 

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