Community‐Engaged Research Methods and Preliminary Findings: Insights from ADNI4 Engagement Core's Community Research Liaisons and Navigators
ADNI4 has scaled a comprehensive CER model to the national level. These preliminary findings suggest these methods are resulting in increased engagement and generalizability, exceeding our goal. These efforts require substantial support and resources and focus on building trust and long-term community partnerships. These strategies provide a replicable, scalable model for more generalizable data for AD/ADRD field.
Authors
- Lauren L. Smitherman
- Stephen Cubbellotti
- L. Wang
- Natalie Pérez
- Alyssa Arentoft (ORCID: https://orcid.org/0000-0002-4235-4638)
- Rachel L. Nosheny (ORCID: https://orcid.org/0000-0003-4995-8319)
- Fabiola Magaña
- Hannatu Amaza
- Shaniya Parkins
- Matt Glittenberg
- Adam Diaz
- Isabella Hoang
- Vanessa A. Guzman
- Alzheimer's Disease Neuroimaging Initiative
- Michael S. W. Weiner
- Ozioma C. Okonkwo
- Jacqueline Pontes Monteiro
- Chester DeWitt
- Julianne Yoon
- Caterina Bocardo
- Lisa Renier Thomas
- Mariana Perez
- Joseph DiBenedetto
- Monica G Rivera Mindt
- Zipporah Melton
Institutions
- University of Wisconsin–Madison (US)
- California State University, Northridge (US)
- University of California, Los Angeles (US)
- Fordham University (US)
- University of California, San Francisco (US)
- Georgetown University (US)
- Providence College (US)
- Georgetown University Medical Center (US)
- Butler Hospital (US)
- Duke Medical Center (US)
- Wisconsin Division of Public Health (US)
- Northern California Institute for Research and Education (US)
- Indiana University (US)
- University of California, Davis (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70860_099540
- Primary Topic
- Health Policy Implementation Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00