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

IF 1.4 4区医学 Q4 GERIATRICS & GERONTOLOGY

Australasian Journal on Ageing Pub Date : 2025-02-22 DOI:10.1111/ajag.70000

Elizabeth Leong, Stephane Chang, Kristi Yearwood, Eamonn Eeles, Stephanie Yerkovich, Carolina Ling, Andrew Teodorczuk, Nadeeka Dissanayaka

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引用次数: 0

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 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 (z = 1.36; p = .17). Average usability score was 5.86 (SD = 1.15) on a 7-point scale, with 93% of respondents being satisfied with the AiD-DST. Free text feedback comprised themes of accessibility, ergonomics, diagnostic accuracy and applicability of AiD-DST to related conditions. Implementation: Instrument completion rate was 98% (n = 49/50), with a median completion time of 90 s. Maintenance: Sixty-seven % of uses of AiD-DST occurred in the second half of the study (p = .3). Following the initiation period there was an increase in use (r = .79; p = 02).

Conclusion

Proof of principle was demonstrated for local implementation of a diagnostic support tool (AiD-DST).

Abstract Image

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试点实施电子诊断支持工具（AiD-DST），旨在确定谵妄的原因

目的：确定谵妄的病因仍然是医学领域的临床挑战。我们小组之前已经成功开发并测试了谵妄决策支持工具（AiD-DST）的病因学。AiD-DST旨在帮助医疗专业人员缩小对谵妄原因检测的差距。在这里，我们报告了在现实环境中使用AiD-DST。方法在某城市医院普通病房进行为期10周的艾滋病- dst实际实施研究。基于RE-AIM框架进行混合方法评估，该框架结合了干预措施的覆盖范围、有效性、采用、实施和维护。结果：87名符合条件的医生中有53名（61%）同意参加研究。有效性：与历史对照组相比，平均每位患者产生4.3例诊断，频率无差异(z = 1.36；p = .17)。平均可用性得分为5.86 (SD = 1.15)，在7分制中，93%的受访者对AiD-DST感到满意。免费文本反馈包括可访问性、人体工程学、诊断准确性和AiD-DST对相关条件的适用性等主题。实施：仪器完成率为98% (n = 49/50)，中位完成时间为90秒。维持：67%的AiD-DST使用发生在研究的后半段（p = .3）。起始期后，使用增加(r = 0.79；p = 02)。结论诊断辅助工具（AiD-DST）的局部应用证明了其原理。

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来源期刊

Australasian Journal on Ageing 医学-老年医学

CiteScore

3.10

自引率

6.20%

发文量

114

审稿时长

>12 weeks

期刊介绍： Australasian Journal on Ageing is a peer reviewed journal, which publishes original work in any area of gerontology and geriatric medicine. It welcomes international submissions, particularly from authors in the Asia Pacific region.