JMIR mHealth and uHealth

translational behavioral medicine

[1] Is there a trial bias impacting user engagement with unguided e-mental health interventions? A systematic comparison of published reports and real-world usage of the same programs.

[2] Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study.

[3] Do Monetary Incentives Influence Users’ Behavior in Participatory Sensing?

[4] personalized social network activity feeds for increased interaction and content contribution

[5] A critical review of obstetric and gynecological physical examination videos available on YouTube: Content analysis and user engagement evaluation

[6] A review and synthesis of frameworks for engagement in health research to identify concepts of knowledge user engagement.

[7] Is there a trial bias impacting user engagement with unguided e-mental health interventions? A systematic comparison of published reports and real-world usage of the same programs.

[8] Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study.

[9] Chronic health conditions and internet behavioral interventions: a review of factors to enhance user engagement

[10] Representation of health conditions on Facebook: content analysis and evaluation of user engagement

[11] Representation of Health Conditions on Facebook: Content Analysis and Evaluation of User Engagement

[12] Effectiveness, User Engagement and Experience, and Safety of a Mobile App (Lumi Nova) Delivering Exposure-Based Cognitive Behavioral Therapy Strategies to Manage Anxiety in Children via Immersive Gaming Technology: Preliminary Evaluation Study