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A Smartphone-Based Self-Management Intervention for Individuals with Bipolar Disorder (LiveWell): Qualitative Study
Geneva K Jonathan1, Cynthia A Dopke1, Tania Michaels2
1Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Smartphone apps can help individuals with bipolar disorder manage symptoms and improve routines. This study explored how these digital tools support behavior change and maintenance for better mental health management.
Area of Science:
- Digital mental health
- Psychiatry
- Behavioral science
Background:
- Bipolar disorder requires ongoing management beyond medication.
- Psychotherapy improves outcomes but faces access limitations.
- Smartphone interventions offer a scalable solution to enhance bipolar disorder self-management.
Purpose of the Study:
- To explore how individuals with bipolar disorder perceive and utilize a smartphone intervention for health behavior change and maintenance.
- To understand the integration of digital tools into daily life for managing bipolar disorder.
- To identify key factors influencing the effectiveness of smartphone-based interventions.
Main Methods:
- Pilot study of the LiveWell smartphone intervention with individuals diagnosed with bipolar disorder.
- In-depth qualitative exit interviews conducted post-intervention.
- Deductive and inductive coding of interview data using a behavior change framework.
Main Results:
- Participants prioritized managing mood symptoms, maintaining routines, sleep, and medication adherence.
- Social support from coaches, family, friends, and providers was crucial for managing targets.
- Self-monitoring was key for awareness and reflection, though some found intervention content too basic.
Conclusions:
- A person-based design approach is vital for understanding user experience with mental health technologies.
- Intervention perceptions aligned with core features like monitoring, suggesting effectiveness.
- Future development should focus on enhancing social support features and tailoring content complexity.
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