The DICE Approach to Intervene the Behavioral and Psychological Symptoms of Dementia: a Study Protocol

IF 11.1 1区 医学 Q1 CLINICAL NEUROLOGY Alzheimer's & Dementia Pub Date : 2025-01-09 DOI:10.1002/alz.093194
Yaonan Zheng, Xingyu Zhang, Mengmeng Xia, Huali Wang
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Abstract

Background

The “Describe-Investigate-Create-Evaluate” (DICE) approach has been considered as a guide for managing behavioral and psychological symptoms of dementia (BPSD). However, the implementation of DICE approach may be limited by few available resources. With the development of AI technology, the effectiveness of AI-aided DICE algorithm for BPSD management has yet to be determined. Therefore, this study aims to examine the effectiveness of the AI-aided DICE algorithm for managing BPSD in low-resource setting.

Methods

The cluster randomized controlled trial will be conducted in 12 medical facilities where geriatric psychiatrists are not fully installed. One hundred and eighty-four persons with mild and moderate BPSD will be enrolled and randomized to the AI-aided DICE group (n = 92) and usual care group (n = 92). In the AI-aided DICE group, all participants will receive comprehensive assessment on a digital triage platform to identify individualized needs and target symptoms, be prescribed with personalized management plan based on the AI-aided decision process, be monitored about the implementation of management plan, and receive follow-up assessment to evaluate the effectiveness. The neuropsychiatric inventory questionnaire and caregiver burden inventory will be used to measure primary and secondary outcomes. assess caregiver burden, records of care and adverse event. The study duration for each participant will be 12 weeks.

Discussion

We expect that the study will examine the effectiveness of the AI-aided DICE algorithm for managing BPSD in low-resource setting. The findings will support the implementation of AI-aided algorithm and leverage the practice for quality care for dementia.

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DICE方法干预痴呆的行为和心理症状:一项研究方案
“描述-调查-创造-评估”(DICE)方法被认为是管理痴呆(BPSD)行为和心理症状的指南。然而,DICE方法的实施可能受到有限的可用资源的限制。随着人工智能技术的发展,人工智能辅助DICE算法对BPSD管理的有效性还有待确定。因此,本研究旨在检验人工智能辅助DICE算法在低资源环境下管理BPSD的有效性。方法采用聚类随机对照试验,在12家老年精神科医生配备不全的医疗机构进行。184名轻度和中度BPSD患者将被纳入研究,并随机分为人工智能辅助DICE组(n = 92)和常规护理组(n = 92)。在人工智能辅助DICE组中,所有参与者将在数字分诊平台上接受综合评估,以确定个性化需求和目标症状,并根据人工智能辅助决策过程制定个性化管理计划,监测管理计划的实施情况,并接受随访评估以评估有效性。神经精神量表问卷和照顾者负担量表将用于衡量主要和次要结局。评估护理人员负担、护理记录和不良事件。每位参与者的研究时间为12周。我们期望这项研究将检验人工智能辅助DICE算法在低资源环境下管理BPSD的有效性。研究结果将支持人工智能辅助算法的实施,并利用实践为痴呆症提供高质量的护理。
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来源期刊
Alzheimer's & Dementia
Alzheimer's & Dementia 医学-临床神经学
CiteScore
14.50
自引率
5.00%
发文量
299
审稿时长
3 months
期刊介绍: Alzheimer's & Dementia is a peer-reviewed journal that aims to bridge knowledge gaps in dementia research by covering the entire spectrum, from basic science to clinical trials to social and behavioral investigations. It provides a platform for rapid communication of new findings and ideas, optimal translation of research into practical applications, increasing knowledge across diverse disciplines for early detection, diagnosis, and intervention, and identifying promising new research directions. In July 2008, Alzheimer's & Dementia was accepted for indexing by MEDLINE, recognizing its scientific merit and contribution to Alzheimer's research.
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