Alzheimer's & Dementia Outreach, Recruitment & Engagement Resources
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Displaying 1 - 10 of 40 resources.
Community-Engaged Recommendations for Empowering People Living With Dementia To Be Research CollaboratorsThis resource provides recommendations for how to engage people living with dementia in all stages of clinical research.
- Rutgers has created a toolkit for community research based on input from community-based organizations.
- Duke Aging Center has a website on the 5Ts framework — a tool to help researchers employ best practices in the inclusion of older adults in their research studies.
Design Considerations for Embedded Pragmatic Clinical Trials of Advance Care Planning Interventions for Persons Living With DementiaThis review article presents a framework for advance care planning clinical trials that are embedded into existing health care.
Developing the 'Good Life' Model: The Recruitment and Training of 'Dementia Ambassadors' to Provide a Novel Coaching Approach for Family CaregiversThis resource describes a support program in which dementia caregivers are matched Dementia Ambassadors trained to educate caregivers and provide appropriate referrals.
Shifting Academic Health Centers From a Culture of Community Service to Community Engagement and IntegrationThis resource explores how academic health centers can more closely engage with their surrounding communities.
Association Between Enrollment Factors and Incident Cognitive Impairment in Blacks and Whites: Data From the Alzheimer’s Disease CenterResearchers looked at how enrollment factors made a difference, broken out by race, on the progression of mild cognitive impairment and dementia. Using Alzheimer’s Disease Research Center data, they examined the rate of impairment between white participants and Black participants with age-at-progression survival models.
- According to the article authors, the ideal participants for Alzheimer's disease clinical trials would show cognitive decline in the absence of treatment (i.e., placebo arm) and also would be responsive to the therapeutic intervention being studied (i.e., drug arm). This investigation tested whether machine learning models can effectively predict cognitive decline in people with mild to moderate Alzheimer’s disease during the timeframe of a phase III clinical trial. Data from 202 participants...
Reduction of Recruitment Costs in Preclinical AD Trials: Validation of Automatic Pre-Screening Algorithm for Brain AmyloidosisThis article describes a validated two-step process for recruiting asymptomatic amyloid-positive individuals into clinical trials. The process was tested using cohorts from three Alzheimer’s studies (ADNI-MCI, ADNI-CN and INSIGHT). During a pre-screening phase, researchers pre-selected a subset of individuals who were more likely to be amyloid positive, based on the automatic analysis of data acquired during routine clinical practice, before doing a confirmatory PET scan for these selected...
Data-Driven Participant Recruitment: Findings from the Alzheimer's Disease Neuroimaging Initiative 3For the Alzheimer's Disease Neuroimaging Initiative 3 (ADNI3) trial, 462 new participants were enrolled. Recruitment metrics were recorded on 82,003 unique visitors to the recruitment website and 3,335 calls to study phone numbers. The recruitment sources that produced the most screening and enrollment included online advertisements, local radio and newspaper coverage, and emails and referrals from patient registries. According to the authors, ADNI3 is an example of how a data-driven approach to...