Beyond counting clicks: rethinking engagement in digital mental health
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View abstract on PubMed
Summary
This summary is machine-generated.User engagement in digital mental health is redefined as a process, not an outcome. A new four-step model aids in defining, measuring, and linking engagement to outcomes for better digital health interventions.
Area Of Science
- Digital mental health
- Health informatics
- Behavioral science
Background
- User engagement is a critical but persistent challenge in the implementation of digital mental health interventions.
- Current approaches often view engagement as a static outcome, limiting its utility in intervention design and evaluation.
Purpose Of The Study
- To reframe user engagement in digital mental health as a dynamic process.
- To introduce a novel four-step model for defining, measuring, and linking engagement to intervention outcomes.
- To promote standardization, interpretability, and scalability in digital health research.
Main Methods
- Conceptual analysis and model development.
- Review of existing literature on user engagement in digital health.
- Proposal of a four-step process model: (1) Define engagement, (2) Measure engagement, (3) Link engagement to outcomes, (4) Iterate based on findings.
Main Results
- Engagement is conceptualized as a multi-faceted process evolving over time.
- The proposed model provides a structured framework for operationalizing and evaluating engagement.
- Standardized metrics and methodologies can enhance the scientific rigor and practical application of digital mental health tools.
Conclusions
- Shifting the perspective of engagement from an outcome to a process is crucial for advancing digital mental health.
- The proposed four-step model offers a scalable and interpretable approach to understanding and improving user engagement.
- This framework supports the development of more effective and evidence-based digital health interventions.
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