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.
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.
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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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Electronic health record-based prediction models for dementia detection: a systematic review of model performance and quality.Journal of the American Medical Informatics Association : JAMIA · 2026Pooled it
- An Electronic Health Record Algorithm's Performance to Identify Cognitive Impairment in Primary Care.Journal of the American Medical Directors Association · 2026Article
- Design and protocol of a pragmatic clinical trial to improve cognitive impairment detection in primary care.Contemporary clinical trials · 2025Article
- Detection and differentiation of undiagnosed dementia in the emergency department: A pilot referral pathway.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Artificial intelligence as a tool for cognitive impairment screening: Patient perspectives about benefits and limitations.Alzheimer's & dementia. Behavior & socioeconomics of aging · 2025Article
- Paving the way for Alzheimer's disease blood-based biomarkers in primary care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- RaiLED-AD: Rationale-Guided Knowledge Transfer for Alzheimer's Disease Prediction from Electronic Health Records.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2025Article
- Stakeholder-informed pragmatic trial protocol of the TabCAT-BHA for the detection of cognitive impairment in primary care.BMC primary care · 2024Article
- Physician Versus Large Language Model Chatbot Responses to Web-Based Questions From Autistic Patients in Chinese: Cross-Sectional Comparative Analysis.Journal of medical Internet research · 2024Observational
- Predicting Risk of Alzheimer's Diseases and Related Dementias with AI Foundation Model on Electronic Health Records.medRxiv : the preprint server for health sciences · 2024Article
- Improving Early Detection of Cognitive Impairment in Older Adults in Primary Care Clinics: Recommendations From an Interdisciplinary Geriatrics Summit.Annals of family medicineArticle
- Review
Corrections and comments
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Authors and funding
18 authors at 5 institutions in 1 country.
Funding
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.
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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.