← All public profiles

3D-DST: Delirium Assessment Tool with Decision Support Function based on the 3-Minute Diagnostic Interview

2023

3D-DST is a digital clinical decision-support adaptation based on the 3D-CAM approach. It was evaluated as a structured delirium assessment for hospitalised older adults.

At a glance

Purpose
Episodic assessment
Population
Adult
Setting
General / acute hospital
Time
variable
Score or threshold
3D-DST positive

Format: This site classifies it under episodic assessment. It is intended for adult use in General / acute hospital. The stated administration time is variable. The published result is recorded using 3D-DST positive.

Primary validation papers

1 identified diagnostic-accuracy paper

Other forms of validation are described in the evidence section. What is counted?

Large-scale clinical implementation

Not yet reviewed.

A focused implementation review has not yet been completed for this profile.

Training and instructions

Public training resources have not yet been confirmed in this review. Check the linked developer or original source for instructions.

Start here

Tool and original sources

This record describes a method rather than a downloadable bedside form. The main source is linked below.

Original paper

  • Original paperWang J, Ji M, Huang Y, Yang F, Wu Y. Accuracy of a clinical decision support system based on the 3-minute diagnostic interview for CAM-defined delirium: A validation study✰. Geriatric nursing (New York, N.Y.). 2023;53:255-260. doi: 10.1016/j.gerinurse.2023.07.021. PMID: 37598429.

    This paper reports the original validation of 3D-DST. It reported sensitivity of 96% and specificity of 94% against an independent DSM-5 clinical assessment.

    Open PubMed ↗
One DTA study identifiedVersion or adaptation
Classification

Classification

Episodic assessment

A tool may belong to more than one category. Select a linked category to see other relevant profiles.

Evidence

Diagnostic-accuracy evidenceOne DTA study identified

Reported sensitivity and specificity

Headline metric source

Original/source study · 2023; pmid:37598429

Denominator
Reported source unit: 95 (analysis unit not fully reconciled)
Reference standard
Psychiatrist DSM-5 delirium diagnosis
96%
Sensitivity
94%
Specificity

Earliest DTA evaluation identified in the current audit; see the linked source and methodological caveats.

More evidence and citation details
Full name
Delirium Assessment Tool with Decision Support Function based on the 3-Minute Diagnostic Interview
Also known as
3D DST, 3D-DST, Delirium Assessment Tool With Decision Support Function
Related profiles
3D-CAM
Evidence summary
single
Diagnostic-accuracy evaluations
1
Reference standard
Psychiatrist DSM-5 delirium diagnosis
Citation
Wang J, Ji M, Huang Y, Yang F, Wu Y Accuracy of a clinical decision support system based on the 3-minute diagnostic interview for CAM-defined delirium: A validation study(✰) Geriatric nursing (New York, N.Y.). 2023;53:255-260. PMID 37598429
Download RIS ↗ Download BibTeX ↗

Primary validation studies

Distinct primary publications from the current diagnostic-accuracy audit. Reviews and repeated evaluations within one paper are not counted again. Overlapping cohorts have not all been reconciled. Read the counting rules and limitations.

Open 1 identified paper
  1. Wang J, Ji M, Huang Y, Yang F, Wu Y (2023). Accuracy of a clinical decision support system based on the 3-minute diagnostic interview for CAM-defined delirium: A validation study(✰). Geriatric nursing (New York, N.Y.).

    Reference category: independent clinical reference.

Copyright and reuse
Information checked
2026-07-19

Instrument-specific terms apply. See the access and copyright policy or send a correction.

Base clinical review: 2026-07-29. Instrument description source check: 2026-09-05. Scope and limitations.