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Mental Health Monitoring: Design Concept of a Smartphone Application
Upeka De Silva1, Sam Madanian1, John Michael Templeton2
1Department of Computer Science and Software Engineering, AUT, New Zealand.
Studies in Health Technology and Informatics
|January 25, 2024
Summary
This study introduces a digital phenotyping application for mental healthcare (MH). The app offers scalable, cost-effective MH monitoring using smartphone data and self-reports for global accessibility.
Area of Science:
- Digital health
- Mental healthcare technology
- Psychological assessment
Background:
- Mental health (MH) challenges represent a significant global issue.
- Existing MH care models face scalability and cost-effectiveness limitations.
- Digital phenotyping offers a promising avenue for accessible MH solutions.
Purpose of the Study:
- To propose a novel MH monitoring application leveraging digital phenotyping.
- To assess mental health through a combination of objective and subjective measures.
- To provide a scalable and cost-effective approach to global MH monitoring.
Main Methods:
- Development of an MH monitoring application.
- Utilizing smartphone sensor data for objective MH assessment.
- Incorporating periodic, short, standardized self-report questionnaires for subjective screening.
Main Results:
- The application monitors key MH indicators including mood, stress, behavior, and personality.
- Integration of objective smartphone data with subjective self-reports for comprehensive MH assessment.
- Demonstration of a scalable and cost-effective approach to continuous MH monitoring.
Conclusions:
- The proposed MH monitoring application offers a viable digital phenotyping solution for global mental healthcare.
- This approach enhances the accessibility and efficiency of mental health assessment.
- Digital tools can significantly contribute to addressing worldwide mental health challenges.
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