Older Adults' Views on AI for Medication Decisions
Author Information
Author(s): Cahill Naomi, Sinha Urjoshi, Abu Hawa O, Obi Emeka Stanley, Oluokun Emmanuel, Vordenberg Sarah E, Nichols Julianna, Marshall Vincent D, Weir Kristie Rebecca, Dorsch Michael P
Primary Institution: University of Michigan College of Pharmacy
Hypothesis
Older adults may have varying levels of receptiveness to AI tools for medication advice based on demographic factors.
Conclusion
Older adults are generally hesitant to follow AI recommendations for stopping medications, but certain demographics may be more open to it.
Supporting Evidence
- Older adults preferred recommendations from primary care providers over AI tools.
- Black or African American participants were more likely to follow AI recommendations compared to those from a PCP.
- Health literacy influenced the likelihood of following AI recommendations.
Takeaway
Older people are not sure about using AI to help them decide on medications, but some groups, like Black or African American individuals, might be more willing to try it.
Methodology
A web-based survey was conducted with US participants aged 65 and older, using a 6-point Likert scale to assess their likelihood of stopping medications based on different information sources.
Potential Biases
Participants may have been biased towards positive responses about technology due to social desirability.
Limitations
The study relied on hypothetical scenarios and may not reflect real-world decision-making; it also may not be generalizable to all medications.
Participant Demographics
Participants were 50% female, median age 70, with a diverse racial and educational background.
Statistical Information
Confidence Interval
95% CI 1.06-1.54
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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