Pilot implementation of an electronic diagnostic support tool (AiD-DST) designed to identify the cause(s) of delirium.

ABSTRACT:

Objective(s)

The identification of cause(s) of delirium remains a clinical challenge within medicine. Our group have previously successfully developed and tested the Aetiology in Delirium-Decision Support Tool (AiD-DST). The AiD-DST is designed to help medical professionals close the gap on the detection of cause(s) of delirium. Here, we report on use of AiD-DST in the real-world setting.

Methods

A real-world implementation study of the AiD-DST within a general medical ward of a metropolitan hospital was conducted over a 10-week period. A mixed method evaluation was performed based upon the RE-AIM Framework that incorporates reach, effectiveness, adoption, implementation and maintenance of an intervention.

Results

Reach: fifty-three out of 87 (61%) eligible doctors co

SUBMITTER: Leong E 

PROVIDER: S-EPMC11845965 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature