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A Quantitative Analysis of Patient-Facing Technologies for Patient Self-Reporting
Mengchen Ding1, Youmin Cho1, Yun Jiang2
1The University of Texas Health Science Center at Houston.
Studies in Health Technology and Informatics
|January 25, 2024
Summary
Patient-facing technologies can improve healthcare, but their impact on patient self-reporting needs more research. This study analyzed technology variables, finding links between apps, physician views, mental health, and user feedback for better future designs.
Area of Science:
- Digital Health
- Health Informatics
- Patient Engagement Technologies
Background:
- Patient-facing technologies offer a holistic view of care, transforming healthcare delivery.
- The impact of these technologies on patient self-reporting remains an underexplored area.
Purpose of the Study:
- To analyze patient-facing technologies and identify key variables influencing their effectiveness.
- To understand associations between different technology platforms and healthcare outcomes.
Main Methods:
- Quantitative analysis of patient-facing technologies and associated variables.
- Examination of data related to single-platform, web-based applications (apps), and Android apps.
Main Results:
- Significant associations were identified between single-platform and web-based applications.
- Android apps showed a correlation with physician view and mental health disease.
- User feedback was also found to be associated with specific technology types.
Conclusions:
- Findings inform the future design, development, and evaluation of patient-facing technologies.
- Systematic, theory-driven approaches are essential for sustainable patient-facing technology strategies.
- Further research is needed to fully characterize the effectiveness and maintenance of these technologies.
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