JMIR Mental Health· 2016Q1· Review
Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments
- 978citations
- Q1SCImago
- 2016year
Short summary
This review presents 16 evidence-based recommendations for developing more effective mental health apps (MHapps), emphasizing the need for behavioral plans, interactive frameworks, and rigorous validation through randomized controlled trials.
AI-generated from the title and abstract; the full text is not read.
Key points
- 16 evidence-based recommendations are provided for future mental health app development.
- Recommendations focus on incorporating behavioral plans and interactive frameworks for user engagement.
- Developers are advised to conduct and publish trial-based experimental validation of MHapps.
- Randomized controlled trials are essential for validating MHapp principles and effectiveness.
AI-generated from the title and abstract; the full text is not read.
Abstract
BACKGROUND: The number of mental health apps (MHapps) developed and now available to smartphone users has increased in recent years. MHapps and other technology-based solutions have the potential to play an important part in the future of mental health care; however, there is no single guide for the development of evidence-based MHapps. Many currently available MHapps lack features that would greatly improve their functionality, or include features that are not optimized. Furthermore, MHapp developers rarely conduct or publish trial-based experimental validation of their apps. Indeed, a previous systematic review revealed a complete lack of trial-based evidence for many of the hundreds of MHapps available. OBJECTIVE: To guide future MHapp development, a set of clear, practical, evidence-based recommendations is presented for MHapp developers to create better, more rigorous apps. METHODS: A literature review was conducted, scrutinizing research across diverse fields, including mental health interventions, preventative health, mobile health, and mobile app design. RESULTS: Sixteen recommendations were formulated. Evidence for each recommendation is discussed, and guidance on how these recommendations might be integrated into the overall design of an MHapp is offered. Each recommendation is rated on the basis of the strength of associated evidence. It is important to design an MHapp using a behavioral plan and interactive framework that encourages the user to engage with the app; thus, it may not be possible to incorporate all 16 recommendations into a single MHapp. CONCLUSIONS: Randomized controlled trials are required to validate future MHapps and the principles upon which they are designed, and to further investigate the recommendations presented in this review. Effective MHapps are required to help prevent mental health problems and to ease the burden on health systems.
The authors' abstract, as published at the source. JMIR Mental Health, 2016 · DOI ↗
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Field: Applied Psychology
Applied PsychologyPsychology