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| ID | Type | Description | Link |
|---|---|---|---|
| 1R01AG069734 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| Kaiser Permanente | OTHER |
| National Institute on Aging (NIA) | NIH |
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The eRADAR Brain Health Study seeks to refine and test a novel, low-cost strategy for increasing dementia detection within primary care.
Detailed description: eRADAR stands for "electronic health record (EHR) Risk of Alzheimer's and Dementia Assessment Rule." It is a low-cost tool or algorithm that uses readily available EHR data elements to identify high-risk patients. The investigators will conduct a pragmatic randomized controlled trial to assess the impact of implementing eRADAR as part of a supported outreach process on dementia detection rates. The investigators will also explore the impact of eRADAR implementation on healthcare utilization and patient experience.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Brain Health Intervention | Experimental | Calculate eRADAR scores using EHR data to identify eligible individuals Invite eligible individuals for brain health assessment visit Enter results of brain health assessment visit into EHR Provide summary of results and recommended next steps to the Primary Care Physician and participant |
|
| Usual Care | No Intervention | Usual care Individuals who meet eligibility criteria will receive usual care. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Brain Health Assessment | Other | Research interventionists, who will be trained and licensed health practitioners (e.g., social workers), will ask participants about changes in memory or thinking and daily function, screen for depression, and administer a standard cognitive screening test. Research interventionalists will use a standardized note template to document results in the participant's EHR. Research interventionists will notify participants and PCPs if follow-up is recommended. |
| Measure | Description | Time Frame |
|---|---|---|
| New dementia diagnosis | Rate of new dementia diagnosis identified from the electronic health record (EHR) using prespecified set of ICD-10 codes | 12 months after index date |
| Measure | Description | Time Frame |
|---|---|---|
| Number of primary care visits | Defined from EHR data | 6 months after index date |
| Number of dementia-related laboratory tests performed | Defined from EHR data |
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Inclusion Criteria:
Exclusion Criteria:
- Currently receiving hospice care
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| Name | Affiliation | Role |
|---|---|---|
| Deborah Barnes, PhD | University of California, San Francisco | Principal Investigator |
| Sascha Dublin, MD, PhD | KP Washington Health Research Institute | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UCSF Primary Care at China Basin | San Francisco | California | 94107 | United States | ||
| Division of General Internal Medicine |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37858616 | Background | Dublin S, Greenwood-Hickman MA, Karliner L, Hsu C, Coley RY, Colemon L, Carrasco A, King D, Grace A, Lee SJ, Walsh JME, Barrett T, Broussard J, Singh U, Idu A, Yaffe K, Boustani M, Barnes DE. The electronic health record Risk of Alzheimer's and Dementia Assessment Rule (eRADAR) Brain Health Trial: Protocol for an embedded, pragmatic clinical trial of a low-cost dementia detection algorithm. Contemp Clin Trials. 2023 Dec;135:107356. doi: 10.1016/j.cct.2023.107356. Epub 2023 Oct 17. | |
| 28849435 |
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Plan description: This Individual Participant Data (IPD) plan applies to all quantitative study data, such as data collected specifically for the study and those derived from electronic health records (EHR), as well as the data collected via planned study surveys, which include only short qualitative free-text fields. The investigators do not plan to share transcripts from in-depth qualitative interviews or recorded study assessment visits.
Data will be maintained on secure servers behind the firewalls at the two study sites: Kaiser Permanente Washington (KPWA) and the University of California, San Francisco (UCSF). De-identified or limited datasets containing individual-level data on which publications are based will be made available to qualified researchers for specified analyses. The investigators will make the data available to users only under a data-use agreement (DUA).
Data can be requested after the primary study paper is accepted for publication, up until 5 years after study completion.
Individuals interested in using KPWA data will be required to complete a standard form, sign a Data Use Agreement (DUA) and provide documentation of IRB approval. Data may then be accessed by qualified researchers via KPWA's Secure File Transfer (SFT) site. User registration will be required in order to access or download data files. As part of the registration process, users must agree to the conditions of use governing access to the data, including restrictions against attempting to identify study participants, destruction of the data after analyses are completed, reporting responsibilities, restrictions on redistribution of the data to third parties, and proper acknowledgment of the data resource.
Individuals interested in using UCSF data will be required to complete the same data request form. The UCSF Industry Contracts Division (ICD), which oversees incoming and outgoing transfer of all UCSF data, will review the form for compliance with UCSF policies.
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Jun 17, 2026 |
| ID | Term |
|---|---|
| D003704 | Dementia |
| D000544 | Alzheimer Disease |
| ID | Term |
|---|---|
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D019965 | Neurocognitive Disorders |
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|
| 6 months after index date |
| Number of dementia-related neuroimaging tests performed | Defined from EHR data | 6 months after index date |
| Number of specialty visits or referrals for dementia assessment | Defined from EHR data | 6 months after index date |
| Percent of participants who receive new medications for dementia | Defined from medication orders or dispensings in the electronic health record | 6 months after index date |
| Number of urgent care and emergency department visits | Defined from EHR data | 1 year after index date |
| Number of inpatient days | Defined from EHR data | 1 year after index date |
| Number of scheduled visits missed | Clinic "no shows" | 1 year after index date |
| Proportion of days covered for current prescriptions | Standard measure of medication adherence | 1 year after index date |
| New dementia diagnosis (secondary definitions) | Rate of new dementia diagnosis identified from the electronic health record (EHR) using prespecified set of ICD-10 codes | 6 months after index date |
| New dementia diagnosis (secondary definitions) | Rate of new dementia diagnosis identified from the electronic health record (EHR) using prespecified set of ICD-10 codes | 18 months after index date |
| New diagnosis of mild cognitive impairment | Rate of new diagnosis of mild cognitive impairment following the intervention, defined from EHR data | 12 months after index date |
| Proportion of people offered a brain health visit who accept and attend the visit | Rate of accepting brain health visit | 3 months after invitation mailed |
| Positive predictive value of eRADAR algorithm | Proportion of people with a high risk eRADAR Score who attend a brain health visit who are diagnosed with dementia | 12 months after index date |
| San Francisco |
| California |
| 94115 |
| United States |
| Women's Health Primary Care | San Francisco | California | 94143 | United States |
| Lee SJ, Larson EB, Dublin S, Walker R, Marcum Z, Barnes D. A Cohort Study of Healthcare Utilization in Older Adults with Undiagnosed Dementia. J Gen Intern Med. 2018 Jan;33(1):13-15. doi: 10.1007/s11606-017-4162-3. No abstract available. |
| 31612463 | Background | Barnes DE, Zhou J, Walker RL, Larson EB, Lee SJ, Boscardin WJ, Marcum ZA, Dublin S. Development and Validation of eRADAR: A Tool Using EHR Data to Detect Unrecognized Dementia. J Am Geriatr Soc. 2020 Jan;68(1):103-111. doi: 10.1111/jgs.16182. Epub 2019 Oct 14. |
| 35906516 | Background | Coley RY, Smith JJ, Karliner L, Idu AE, Lee SJ, Fuller S, Lam R, Barnes DE, Dublin S. External Validation of the eRADAR Risk Score for Detecting Undiagnosed Dementia in Two Real-World Healthcare Systems. J Gen Intern Med. 2023 Feb;38(2):351-360. doi: 10.1007/s11606-022-07736-6. Epub 2022 Jul 29. |
| D001523 | Mental Disorders |
| D024801 | Tauopathies |
| D019636 | Neurodegenerative Diseases |