Evidence map›Paper›PMID 37858616›Full record

ArticleContemporary clinical trials2023

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.

Sascha Dublin, Mikael Anne Greenwood-Hickman, Leah Karliner, Clarissa Hsu, R Yates Coley, Leonardo Colemon, Anna Carrasco, Deborah King, Andrea Grace, Sei J Lee and 8 more

Registry-linked trialOpen access · greenAbstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05905796 (Low-cost Detection of Dementia Using Electronic Health Records Data), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05905796 nacompletednot on this map

Low-cost Detection of Dementia Using Electronic Health Records Data: Validation and Testing of the Electronic Health Record Risk of Alzheimer's and Dementia Assessment Rule (eRADAR) Algorithm in a Pragmatic, Patient-centered Trial.

TypeinterventionalSponsorUniversity of California, San FranciscoRan2022 to 2026Enrolled1,271ConditionsDementia, Alzheimer DiseaseArmsBrain Health Assessment
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Detection and differentiation of undiagnosed dementia in the emergency department: A pilot referral pathway.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  5. Article
  6. Paving the way for Alzheimer's disease blood-based biomarkers in primary care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  7. RaiLED-AD: Rationale-Guided Knowledge Transfer for Alzheimer's Disease Prediction from Electronic Health Records.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2025
    Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 1 country.

Sascha DublinKaiser Permanente Washington Health Research Institute, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA; Kaiser Permanente Bernard Tyson School of Medicine, Pasadena, CA, USA. Electronic address: Sascha.Dublin@kp.org.
Mikael Anne Greenwood-HickmanKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Leah KarlinerUniversity of California, San Francisco, San Francisco, CA, USA.
Clarissa HsuKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
R Yates ColeyKaiser Permanente Washington Health Research Institute, Seattle, WA, USA; Department of Biostatistics, University of Washington, Seattle, WA, USA.
Leonardo ColemonKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Anna CarrascoUniversity of California, San Francisco, San Francisco, CA, USA.
Deborah KingKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Andrea GraceKaiser Permanente Washington, Seattle, WA, USA.
Sei J LeeUniversity of California, San Francisco, San Francisco, CA, USA.
Judith M E WalshUniversity of California, San Francisco, San Francisco, CA, USA.
Tyler BarrettKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Jia BroussardUniversity of California, San Francisco, San Francisco, CA, USA.
Umesh SinghKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Abisola IduKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Kristine YaffeUniversity of California, San Francisco, San Francisco, CA, USA.
Malaz BoustaniIndiana University School of Medicine, Indianapolis, IN, USA.
Deborah E BarnesUniversity of California, San Francisco, San Francisco, CA, USA.
Kaiser Permanente Washington Health Research Institute · USUniversity of California, San Francisco · USIndiana University – Purdue University Indianapolis · USKaiser Permanente · USUniversity of Washington · US

Funding

Low-cost detection of dementia using electronic health records data: validation and testing of the eRADAR algorithm in a pragmatic, patient-centered trial.R01AG069734 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI BARNES, DEBORAH E., DUBLIN, SASCHA · 2020 to 2025
$4.1M
Identifying and supporting patients with undiagnosed dementia using the EHR Risk of Alzheimer's and Dementia Assessment Rule (eRADAR): a pilot clinical trialR01AG067427 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI BARNES, DEBORAH E., DUBLIN, SASCHA · 2020 to 2023
$3.1M
Development and Validation of the EMR Risk of Alzheimer's and Dementia Assessment Rule (eRADAR)R56AG056417 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI BARNES, DEBORAH E. · 2017 to 2017
$793k
NIA NIH HHS R01 AG067427NIA NIH HHS R01 AG069734NIA NIH HHS R56 AG056417
6 · The paper itself

Abstract

backgroundAbout half of people living with dementia have not received a diagnosis, delaying access to treatment, education, and support. We previously developed a tool, eRADAR, which uses information in the electronic health record (EHR) to identify patients who may have undiagnosed dementia. This paper provides the protocol for an embedded, pragmatic clinical trial (ePCT) implementing eRADAR in two healthcare systems to determine whether an intervention using eRADAR increases dementia diagnosis rates and to examine the benefits and harms experienced by patients and other stakeholders.

methodsWe will conduct an ePCT within an integrated healthcare system and replicate it in an urban academic medical center. At primary care clinics serving about 27,000 patients age 65 and above, we will randomize primary care providers (PCPs) to have their patients with high eRADAR scores receive targeted outreach (intervention) or usual care. Intervention patients will be offered a "brain health" assessment visit with a clinical research interventionist mirroring existing roles within the healthcare systems. The interventionist will make follow-up recommendations to PCPs and offer support to newly-diagnosed patients. Patients with high eRADAR scores in both study arms will be followed to identify new diagnoses of dementia in the EHR (primary outcome). Secondary outcomes include healthcare utilization from the EHR and patient, family member and clinician satisfaction assessed through surveys and interviews.

conclusionIf this pragmatic trial is successful, the eRADAR tool and intervention could be adopted by other healthcare systems, potentially improving dementia detection, patient care and quality of life.

Indexed as

Alzheimer DiseaseDelivery of Health Care, IntegratedDementiaAgedAlgorithmsBrainElectronic Health RecordsHumansPragmatic Clinical Trials as TopicQuality of LifeAlzheimer's diseaseDementiaEarly detectionElectronic health recordsPragmatic trialScreening

Identifiers

PMID37858616
PMCPMC11244615
OpenAlexW4387708841

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.