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Medication adherence among older adults: Current practices and prospects for AI integration
1Department of Information Systems, UMBC, 1000 Hilltop Circle, Baltimore, MD, 21250, USA.
Older adults often struggle with medication adherence despite using simple tools. Many are open to advanced technologies, including AI, to improve managing multiple daily prescriptions.
Area of Science:
- Gerontology
- Health Informatics
- Behavioral Science
Background:
- Poor medication adherence is a major cause of health issues in US older adults.
- Managing multiple daily medications presents significant challenges for this demographic.
Purpose of the Study:
- To examine current medication adherence practices and tools used by older adults.
- To explore older adults' perspectives on future technologies, including AI, for improving adherence.
Main Methods:
- A literature review was conducted.
- Sixty-five older adults from an independent living community participated.
- Participants discussed current adherence routines and attitudes toward advanced adherence technologies.
Main Results:
- Most participants took an average of six medications daily, using basic tools like pillboxes.
- Many older adults reported difficulties in managing their medications effectively.
- Participants expressed openness to sophisticated technologies like wearables and AI-supported tools.
Conclusions:
- Current adherence tools are often insufficient for older adults managing complex medication regimens.
- There is a significant demand for and openness to advanced technological solutions, including AI, to enhance medication adherence in older populations.
- Future research should focus on testing these innovative adherence technologies.
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