Digital Detection of Dementia Trials
Author Information
Author(s): Boustani Malaz, Fowler Nicole
Primary Institution: Indiana University
Hypothesis
Can electronic health record data and machine learning algorithms effectively detect dementia?
Conclusion
The study found that using a Passive Digital Marker and Quick Dementia Rating Scale can accurately diagnose dementia in primary care settings.
Supporting Evidence
- The Passive Digital Marker achieved 80% accuracy in dementia detection.
- The Quick Dementia Rating Scale had 85% accuracy for dementia diagnosis.
- The trials recruited diverse primary care practices across different settings.
Takeaway
Researchers used computer data to help doctors find out if older people have dementia, and it worked really well.
Methodology
The study involved pragmatic cluster-randomized controlled trials comparing usual care with the PDM and QDRS in primary care clinics.
Limitations
The study may have limitations related to the non-interruptive nature of the Best Practice Alert used in the first year.
Participant Demographics
The trial included 5960 older patients with a mean age of 71.9 years, 61% female, and 51% African American.
Digital Object Identifier (DOI)
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