NIH R01 · 2025
ABSTRACT for READI-SET-GO Delirium has a devastating impact on older adults and their care partners. It is associated with in hospital adverse events (e.g., falls), declines in physical and cognitive function, nursing home placement and increased mortality. Despite its poor outcomes and high costs, < 50% of all delirium cases are detected in routine care. To address this challenge, in READI (Researching Efficient Approaches to Delirium Identification) we developed, validated, and field tested the Ultra-brief CAM (UB-CAM), a two-step delirium identification protocol that combines an ultra-brief 2-item screen (UB-2) with a validated diagnostic tool (3D-CAM). We enrolled 527 patients, avg. age…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.