Skip to main content
TTrialFinder
TrialFinder is for informational purposes only and does not provide medical advice. Always talk to your doctor.
RECRUITINGINTERVENTIONAL

Digital Detection of Dementia (D Cubed) Studies: D3

Important: This information is not medical advice. Talk to your doctor about whether a clinical trial is right for you.

About This Trial

The specific aim of the pragmatic trial is to evaluate the practical utility and effect of the PDM, the QDRS, and the combined approach (PDM + QDRS) in improving the annual rate of new documented ADRD diagnosis in primary care practices.

Who May Be Eligible (Plain English)

Who May Qualify: - 65 years or older - At least one visit to primary care practice within the past year - Ability to provide willing to sign a consent form - Ability to communicate in English or Spanish - Available EHR data from at least the past three years Who Should NOT Join This Trial: - Prior ADRD or mild cognitive impairment diagnosis as determined by ICD-10 code - Evidence of any history of prescription for a cholinesterase inhibitors or memantine. - Has serious mental illness such as bipolar or schizophrenia as determined by ICD-10 code - Permanent resident of a nursing facility Always talk to your doctor about whether this trial is right for you.

Original Eligibility Criteria

View original clinical language
Inclusion Criteria: * 65 years or older * At least one visit to primary care practice within the past year * Ability to provide informed consent * Ability to communicate in English or Spanish * Available EHR data from at least the past three years Exclusion Criteria: * Prior ADRD or mild cognitive impairment diagnosis as determined by ICD-10 code * Evidence of any history of prescription for a cholinesterase inhibitors or memantine. * Has serious mental illness such as bipolar or schizophrenia as determined by ICD-10 code * Permanent resident of a nursing facility

Treatments Being Tested

OTHER

Passive Digital Marker for screening for ADRD

Patients in the primary care clinics randomized to PDM+QDRS will have Electronic Health Record Data of their patients run through the PDM, a machine learning algorithm which can predict ADRD one year and three years prior to its onset. In addition, patients from these clinics will have their patients complete the QDRS, a validated patient reported outcome (PRO) tool. This combined approach will assess the value of early detection of ADRD and if the annual well visit can overcome the barriers related to early detection of ADRD.

Locations (1)

University of Miami School of Medicine
Boca Raton, Florida, United States