Development and Usability Testing of a Mobile App-Based Clinical Decision Support System for Delirium: Randomized Crossover Trial.

IF 5 Q1 GERIATRICS & GERONTOLOGY
JMIR Aging Pub Date : 2024-01-24 DOI:10.2196/51264
Jiamin Wang, Meihua Ji, Yuan Han, Ying Wu
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引用次数: 0

Abstract

Background: The 3-Minute Diagnostic Interview for Confusion Assessment Method-Defined Delirium (3D-CAM) is an instrument specially developed for the assessment of delirium in general wards, with high reported sensitivity and specificity. However, the use of the 3D-CAM by bedside nurses in routine practice showed relatively poor usability, with multiple human errors during assessment.

Objective: This study aimed to develop a mobile app-based delirium assessment tool based on the 3D-CAM and evaluate its usability among older patients by bedside nurses.

Methods: The Delirium Assessment Tool With Decision Support Based on the 3D-CAM (3D-DST) was developed to address existing issues of the 3D-CAM and optimize the assessment process. Following a randomized crossover design, questionnaires were used to evaluate the usability of the 3D-DST among older adults by bedside nurses. Meanwhile, the performances of both the 3D-DST and the 3D-CAM paper version, including the assessment completion rate, time required for completing the assessment, and the number of human errors made by nurses during assessment, were recorded, and their differences were compared.

Results: The 3D-DST included 3 assessment modules, 9 evaluation interfaces, and 16 results interfaces, with built-in reminders to guide nurses in completing the delirium assessment. In the usability testing, a total of 432 delirium assessments (216 pairs) on 148 older adults were performed by 72 bedside nurses with the 3D-CAM paper version and the 3D-DST. Compared to the 3D-CAM paper version, the mean usability score was significantly higher when using the 3D-DST (4.35 vs 3.40; P<.001). The median scores of the 6 domains of the satisfactory evaluation questionnaire for nurses using the 3D-CAM paper version and the 3D-DST were above 2.83 and 4.33 points, respectively (P<.001). The average time for completing the assessment reduced by 2.1 minutes (4.4 vs 2.3 min; P<.001) when the 3D-DST was used.

Conclusions: This study demonstrated that the 3D-DST significantly improved the efficiency of delirium assessment and was considered highly acceptable by bedside nurses.

基于移动应用程序的谵妄临床决策支持系统的开发与可用性测试:随机交叉试验。
背景:3分钟诊断访谈困惑评估法-定义谵妄(3D-CAM)是专为普通病房谵妄评估而开发的工具,据报道具有较高的灵敏度和特异性。然而,床旁护士在日常实践中使用 3D-CAM 的可用性相对较差,在评估过程中会出现多次人为错误:本研究旨在基于 3D-CAM 开发一种基于手机应用的谵妄评估工具,并评估床旁护士在老年患者中的可用性:方法:开发了基于 3D-CAM 的决策支持谵妄评估工具(3D-DST),以解决 3D-CAM 存在的问题并优化评估流程。采用随机交叉设计,通过问卷调查评估床旁护士在老年人中使用 3D-DST 的可用性。同时,记录了 3D-DST 和 3D-CAM 纸质版的性能,包括评估完成率、完成评估所需时间和评估过程中护士人为失误的次数,并比较了两者的差异:3D-DST包括3个评估模块、9个评估界面和16个结果界面,内置提醒功能可指导护士完成谵妄评估。在可用性测试中,72 名床旁护士使用 3D-CAM 纸质版和 3D-DST 对 148 名老年人进行了 432 次谵妄评估(216 对)。与 3D-CAM 纸质版相比,使用 3D-DST 时的平均可用性得分明显更高(4.35 分对 3.40 分;PConclusions:这项研究表明,3D-DST 大大提高了谵妄评估的效率,被床旁护士高度认可。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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