Focuses on the generalizability, usability, and real-world applicability of measures across populations and contexts, including stakeholder input and implementation considerations.
Core Lead:
Duke Han, Ph.D.
Purpose
Develops approaches for involving participants and communities in how digital measures are defined, designed, and evaluated.
Outputs
Guidance on incorporating community input across the full measurement lifecycle, including identification of gaps in relevance, usability, and data coverage.
Why this matters
Measures that ignore real-world context often fail when scaled. This work helps ensure tools are meaningful, usable, and appropriate for the populations they are intended to serve.
WG Lead: Elizabeth Muñoz, PhD
Jenna Axelrod, PhD
Shifali Singh, PhD
Angie Sardina, PhD, LRT, CTRS, FDRT
Luis Medina, PhD
Katharina Reinecke, PhD
Purpose
Examines how cognitive and behavioral data should be returned to participants in ways that are ethical, interpretable, and useful.
Outputs
Best-practice guidance and decision frameworks for returning results, including options for personalization, comparison, and communication.
Why this matters
Returning results can improve engagement and trust, but poorly designed feedback can mislead or bias participants. This work helps define when and how feedback adds value without compromising scientific integrity.
WG Lead: Jason Karlawish, MD
Emily Largent, JD, PhD, RN
Angela Bradbury, PhD
Jessica Langbaum, PhD
Belinda Zhang, PhD
Purpose
Provides structured input from community members and stakeholders, including individuals with lived experience and professionals from relevant organizations.
Outputs
Regular feedback on OMNI ADRD activities, priorities, and dissemination strategies.
Why this matters
Direct input from participants and investigators improves the relevance, acceptability, and impact of OMNI ADRD outputs.
View the Community Advisory Board.
Purpose
Conducts focused sessions with community members to gather input on specific questions, populations, or implementation challenges.
Outputs
Targeted insights that inform measurement design, study protocols, and dissemination strategies.
Why this matters
Some questions require deeper, more focused input than standing advisory groups can provide. These sessions allow OMNI ADRD to address specific gaps quickly and effectively.
WG Lead: Jennifer Kraschnewski, MD, MPH
Duke Han, PhD
Jenna Axelrod, PhD
Belinda Zhang, PhD
Angie Sardina, PhD, LRT, CTRS, FDRT
Paula Moodie, MSW
Miriam Miller, MS
