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Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence
Anna N Baglione1, Jiaqi Gong2, Mehdi Boukhechba1
1Department of Engineering Systems and Environment, University of Virginia.
This study introduces a new framework for medication adherence research, using mobile sensing to understand patient behavior in real-world settings. This approach aims to create personalized interventions for better medication adherence.
Area of Science:
- Digital Health
- Behavioral Science
- Translational Science
Background:
- Traditional medication adherence interventions show limited success and high resource demands.
- A paradigm shift is occurring towards personalized, theory-driven interventions for medication adherence.
- Mobile and wearable sensing offer novel opportunities to study medication-taking behaviors in naturalistic settings.
Purpose of the Study:
- To present a novel transdisciplinary research framework for medication adherence.
- To highlight critical advances in the rapidly evolving field of medication adherence research.
- To outline future research and clinical application directions for medication adherence.
Main Methods:
- Integrating foundational and translational science for a mechanisms-focused, context-aware approach.
- Utilizing mobile and wearable sensing systems to capture medication-taking behaviors in situ.
- Combining sensor data with survey and ecological momentary assessment data.
Main Results:
- Mobile and wearable sensing systems can directly capture the context of medication adherence.
- These systems provide insights into personal, behavioral, and environmental factors influencing adherence.
- The approach facilitates understanding of medication-taking behaviors in real-world settings.
Conclusions:
- A new transdisciplinary framework integrating mobile sensing enhances understanding of medication adherence.
- This context-aware approach offers personalized intervention potential for improved adherence.
- Future directions include leveraging technology for advanced medication adherence research and clinical practice.
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