JMIR Mental Health
Internet interventions, technologies and digital innovations for mental health and behaviour change
JMIR Mental Health focusses on digital health and Internet interventions, technologies and electronic innovations (software and hardware) for mental health, addictions, online counselling and behaviour change. This includes formative evaluation and system descriptions, theoretical papers, review papers, viewpoint/vision papers, and rigorous evaluations.
JMIR Mental Health publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
JMIR Mental Health features a rapid and thorough peer-review process, professional copyediting, professional production of PDF, XHTML, and XML proofs.
JMIR Mental Health adheres to the same quality standards as JMIR and all articles published here are also cross-listed in the Table of Contents of JMIR, the worlds' leading medical journal in health sciences / health services research and health informatics.
Editorial Board members are currently being recruited, please contact us if you are interested (jmir.editorial.office at gmail.com).
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Latest Submissions Open for Peer-Review:View All Open Peer Review Articles
Development of a smartphone app to support self-monitoring of emotional well-being
Date Submitted: Jun 14, 2016
Open Peer Review Period: Jun 15, 2016 - Aug 10, 2016
Emotional wellbeing is a primary component of mental health and well-being. Monitoring changes in daily emotion state over extended periods is however difficult using traditional methodologies. Provi...
Emotional wellbeing is a primary component of mental health and well-being. Monitoring changes in daily emotion state over extended periods is however difficult using traditional methodologies. Providing mental health support is also challenging when approximately only 1 in 2 people with mental health issues seek professional help. Smartphone technology offers a sustainable means of enhancing self-management of emotional wellbeing. In this paper, we report on the development of ‘MoodPrism’, an evidence-based smartphone application (‘app’) which monitors emotional mental health and well-being, and provides links to mental health organization websites and resources. The app obtains data via self-report psychometric questionnaires, experience sampling methodology, and automated behavioural data collection. Trial data on functionality and user experience are also reported, indicating MoodPrism is a viable research data collection tool. Recommendations for future researchers and developers of mental health research apps are also presented. The methodology reported in this paper provides a valuable standard against which development future mental health apps should be considered, and offers a rich tool for a range of potential mental health research studies.