Health Care Access and Cognitive Function in Older Adults: A Cross-Lagged Panel Longitudinal Analysis.

Objective: The current longitudinal study examined how (1) cognitive measures, including episodic memory, executive function, and global cognition, predict later healthcare access and how (2) healthcare access predicts later cognition. Methods: Drawing a sample (n = 9920) from the Health and Retirement Study dataset, we created a cross-lagged panel model to examine the longitudinal association between cognitive measures and healthcare access from 2012 to 2018. Results: Results revealed that cognitive measures significantly predict later healthcare access, with effects increasing across waves. However, within sub-domains, memory was more predictive of later healthcare access over time compared to executive function. Discussions: Our study suggested an increased link between cognition and healthcare access during aging. Even outside of the context of AD, there are likely both policy-based and practical implications to ensure those experiencing cognitive decline continue to maintain access to care.

Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic.

The COVID-19 pandemic raised the importance of adaptive capacity and preparedness when engaging historically marginalized populations in research and practice. The Rapid Acceleration of Diagnostics in Underserved Populations' COVID-19 Equity Evidence Academy Series (RADx-UP EA) is a virtual, national, interactive conference model designed to support and engage community-academic partnerships in a collaborative effort to improve practices that overcome disparities in SARS-CoV-2 testing and testing technologies. The RADx-UP EA promotes information sharing, critical reflection and discussion, and creation of translatable strategies for health equity. Staff and faculty from the RADx-UP Coordination and Data Collection Center developed three EA events with diverse geographic, racial, and ethnic representation of attendees from RADx-UP community-academic project teams: February 2021 (n = 319); November 2021 (n = 242); and September 2022 (n = 254). Each EA event included a data profile; 2-day, virtual event; event summary report; community dissemination product; and an evaluation strategy. Operational and translational delivery processes were iteratively adapted for each EA across one or more of five adaptive capacity domains: assets, knowledge and learning, social organization, flexibility, and innovation. The RADx-UP EA model can be generalized beyond RADx-UP and tailored by community and academic input to respond to local or national health emergencies.