{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:57:55Z","timestamp":1755223075555,"version":"3.43.0"},"reference-count":24,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T00:00:00Z","timestamp":1740182400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010230","name":"Queensland Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010230","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Australas J Ageing"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective(s)<\/jats:title><jats:p>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\u2014Decision Support Tool (AiD\u2010DST). The AiD\u2010DST is designed to help medical professionals close the gap on the detection of cause(s) of delirium. Here, we report on use of AiD\u2010DST in the real\u2010world setting.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A real\u2010world implementation study of the AiD\u2010DST within a general medical ward of a metropolitan hospital was conducted over a 10\u2010week period. A mixed method evaluation was performed based upon the RE\u2010AIM Framework that incorporates reach, effectiveness, adoption, implementation and maintenance of an intervention.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Reach: fifty\u2010three out of 87 <jats:bold>(<\/jats:bold>61%) eligible doctors consented to participation in the study. Effectiveness: A mean of 4.3 diagnoses were generated per patient with no difference in frequency when compared with historical control (<jats:italic>z<\/jats:italic>\u2009=\u20091.36; <jats:italic>p<\/jats:italic>\u2009=\u2009.17). Average usability score was 5.86 (SD\u2009=\u20091.15) on a 7\u2010point scale, with 93% of respondents being satisfied with the AiD\u2010DST. Free text feedback comprised themes of accessibility, ergonomics, diagnostic accuracy and applicability of AiD\u2010DST to related conditions. Implementation: Instrument completion rate was 98% (<jats:italic>n<\/jats:italic>\u2009=\u200949\/50), with a median completion time of 90\u2009s. Maintenance: Sixty\u2010seven % of uses of AiD\u2010DST occurred in the second half of the study (<jats:italic>p<\/jats:italic>\u2009=\u2009.3). Following the initiation period there was an increase in use (<jats:italic>r<\/jats:italic>\u2009=\u2009.79; <jats:italic>p<\/jats:italic>\u2009=\u200902).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Proof of principle was demonstrated for local implementation of a diagnostic support tool (AiD\u2010DST).<\/jats:p><\/jats:sec>","DOI":"10.1111\/ajag.70000","type":"journal-article","created":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T03:28:41Z","timestamp":1740194921000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Pilot implementation of an electronic diagnostic support tool (AiD\u2010DST) designed to identify the cause(s) of delirium"],"prefix":"10.1111","volume":"44","author":[{"given":"Elizabeth","family":"Leong","sequence":"first","affiliation":[{"name":"Internal Medicine Services The Prince Charles Hospital  Brisbane Queensland 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