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| Name | Class |
|---|---|
| University of Southern California | OTHER |
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Recent studies have highlighted the potential use of electronic health record (EHR) data for scalable and less biased identification of people who may have or be at risk of developing MCI or ADRD at the population level.8,9 Using data from the EHR in advance of PC visits can systematically identify patients with undetected MCI and ADRD. At Indiana University (IU), researchers developed a Passive Digital Marker (PDM) to enable early detection of ADRD with an 80% accuracy for one-year and three-year prediction horizons.8,9 Despite the accuracy of the PDM, the feasibility, acceptability, and overall effectiveness of its use for early detection of ADRD in PC remains unclear.
Building on this innovative tool and the ongoing engagement in IUH PC for early detection of ADRD, we propose a project to test the acceptability and feasibility of implementing the PDM in IUH PC to identify people with and at risk of MCI and ADRD and measure if we can increase patient engagement in research and evidence-based follow-up care with the IUH Brain Health Navigator (BHN). The BHN, is primary care based registered nurse with special training to conduct additional assessments of patients following a positive ADRD screen to identify possible underlying causes of cognitive impairment and assist the PCP to facilitate the patient's next steps for diagnostic assessment.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| PDM+ | Experimental | Patients at participating clinics identified through the Passive Digital Marker (PDM) as at risk will be contacted for clinical follow up via Twistle, a secure text message platform prior to their next schedule primary care visit. Patients identified as at risk, PDM+, who confirm a cognitive concern via Twistle will be referred to the IU Health Brain Health Navigator (BHN), a clinical nurse embedded in primary care. . The BHN will deliver the IUH Brain Health Protocol to assess for reversible causes, initiate shared decision-making processes for care and treatment, assess for treatment eligibility, and complete a warm hand-off when appropriate. Additionally, the BHN will facilitate patient enrollment in the Indiana CTSI ALL IN research registry and/or the IU Biobank. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Acceptability and Feasibility of Twistle messaging for PDM+ patients | Behavioral | PC patients identified by the PDM as high risk for developing or having undetected MCI or ADRD will receive the patient-informed message developed in Aim 2. The patient-informed message will include instructions for completing validated questions about subjective memory concerns. In addition, interested patients will have the option to schedule a visit with the BHN, or enroll in research opportunities. |
| Measure | Description | Time Frame |
|---|---|---|
| Implementation of the PDM to identify at risk patients | Implement the PDM, using IUH EHR data, to identify primary care patients aged 65 or older who a have undetected MCI or ADRD or who are at risk. Measured by the number of patients identified as high-risk by the PDM. | 3 months post index visit |
| 2.1 Effectiveness of Patient-informed messaging | Evaluate the effectiveness of the patient-informed message using IUH's patient facing application, Twistle, in engaging PDM positive patients to complete a cognitive assessment with the BHN as measured by the percentage of patients who open the message. | 3 months post index visit |
| 2.2 Effectiveness of Patient-informed messaging | Evaluate the effectiveness of the patient-informed message using IUH's patient facing application, Twistle, in engaging PDM positive patients to complete a cognitive assessment with the BHN as measured by the percentage that engage with the message. | 3 months post index visit |
| 2.3 Effectiveness of Patient-informed messaging | Evaluate the effectiveness of the patient-informed message using IUH's patient facing application, Twistle, in engaging PDM positive patients to complete a cognitive assessment with the BHN as measured by the percentage of patients who answer the Subjective Cognitive Concerns questions. | 3 months post index visit |
| 2.4 Effectiveness of Patient-informed messaging | Evaluate the effectiveness of the patient-informed message using IUH's patient facing application, Twistle, in engaging PDM positive patients to complete a cognitive assessment with the BHN as measured by the percentage of patients who schedule a BHN appointment. | 3 months post index visit |
| Measure | Description | Time Frame |
|---|---|---|
| Engage in clinical research | The BHN will refer patients to participate in ADRD clinical trials and will provide them information for the IU clinical research registry. Measured by the percentage of patients who consent to the IU CTSI All IN clinical research registry and/or the IU Biobank repository. | 3 months post index visit |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Nicole Fowler, PhD | Indiana University School of Medicine, and Regenstrief Institute; IU Center for Aging Research | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| IU Health Primary Care | Indianapolis | Indiana | 46201 | United States |
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|
| ID | Term |
|---|---|
| D060825 | Cognitive Dysfunction |
| D000544 | Alzheimer Disease |
| D003704 | Dementia |
| ID | Term |
|---|---|
| D003072 | Cognition Disorders |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D024801 | Tauopathies |
| D019636 | Neurodegenerative Diseases |
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