AiD-DST: Aetiology in Delirium Diagnostic Support Tool
2021A clinical decision-support algorithm for identifying possible causes after delirium has been recognised. It is an aetiology tool, not a screen for deciding whether delirium is present.
Classification
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Tool and original sources
This record describes a method rather than a downloadable bedside form. The main source is linked below.
Original paper
- Principal sourceEeles E, Huang L, Dakin L, Ling C, Dunn E, Fraser J, et al. Development and validation of an aetiology in delirium diagnostic support tool. Age and ageing. 2021;50(4):1402-1405. doi: 10.1093/ageing/afaa269. PMID: 33301574.
This paper reports the development and initial validation of AiD-DST. It is the main source for the method, its intended use and the evidence available at publication.
At a glance
- Purpose
- Cause / aetiology support
- Population
- Adults with established delirium
- Setting
- General / acute hospital
- Time
- brief digital decision support; varies with case complexity
Evidence
Evidence maturityNo eligible DTA study identified
More evidence and citation details
- Full name
- Aetiology in Delirium Diagnostic Support Tool
- Evidence summary
- development-validation
- Citation
- Eeles E, Huang L, Dakin L, Ling C, Dunn E, Fraser J, Dissanayaka NN Development and validation of an aetiology in delirium diagnostic support tool Age and Ageing. 2021;50(4):1402-1405. PMID 33301574
Copyright and reuse
- Version
- Eight-step research tool; original development reported in 2021
- Information checked
- 2026-07-19
Instrument-specific terms apply. See the access and copyright policy or send a correction.
Sources checked 2026-07-29. How profiles are prepared.