A New Approach to Enhancing Engagement in eHealth Apps.

Area of Science:

• Digital Health
• Human-Computer Interaction
• Behavioral Science

Background:

• User engagement is crucial for the sustained use and effectiveness of eHealth applications.
• Existing models often lack a comprehensive, phase-specific approach to user engagement.
• Integrating insights from social and cognitive sciences can potentially optimize user interaction with digital health tools.

Purpose of the Study:

• To present a novel 3-phase conceptual model for user engagement with eHealth apps.
• To outline strategies for leveraging psychosocial, behavioral, and cognitive science principles to enhance user engagement.
• To provide a framework for designing and improving eHealth apps based on user engagement dynamics.

Main Methods:

• Conceptual modeling based on a review of user engagement literature.
• Integration of established theories from psychosocial, behavioral, and cognitive sciences.
• Application of the model to different phases of the user engagement process.

Main Results:

• A 3-phase conceptual model (e.g., acquisition, adoption, long-term use) detailing user engagement progression.
• Specific, actionable recommendations for applying psychological and behavioral principles within each phase.
• A framework for understanding and influencing user adherence and sustained interaction with eHealth technology.

Conclusions:

• The proposed 3-phase model offers a structured approach to understanding and enhancing user engagement with eHealth apps.
• Incorporating principles from psychosocial, behavioral, and cognitive sciences is vital for designing effective and engaging digital health interventions.
• This model can guide future research and development in eHealth to improve user retention and health outcomes.