Smart Room Design for Dementia Nursing Home Based on Kano-AHP-QFD Integrated Methodology.

IF 1.8 4区 医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Qian Dong, Jiangang Zhu
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引用次数: 0

Abstract

Background: With the growing demand for dementia-friendly care environments, existing smart room designs often lack systematic methods to translate user needs into functional solutions. Objective: This study proposes an integrated Kano Model, Analytic Hierarchy Process, and Quality Function Deployment (Kano-AHP-QFD) framework to optimize the design of smart living rooms for dementia patients in nursing homes. Method: Through literature reviews and user interviews, 22 user requirements were identified and categorized using the Kano model. The AHP was then employed to prioritize these requirements, with "behavior recognition (e.g., falls, wandering)" emerging as the top priority, assigned a weight of 0.3622. Subsequently, the QFD method translated these weighted requirements into design functions via the House of Quality, resulting in a set of optimized smart living room designs. Results: The study demonstrates that the integration of Kano-AHP-QFD provides a structured and data-driven approach to systematically address the complex needs of dementia patients, enhancing the scientific rigor and practicality of smart room design. User satisfaction scores improved from 61.655 to 80.663 after implementing the optimized smart living room designs. Conclusions: The proposed framework offers valuable insights for designers, care providers, and policymakers aiming to improve the quality of life for elderly individuals with dementia. It is also applicable to various cognitive impairment care scenarios such as rehabilitation centers and assisted living facilities, and can provide scientific references for the environmental design of other special user groups.

基于Kano-AHP-QFD综合方法的老年痴呆症养老院智能房间设计
背景:随着人们对痴呆症友好型护理环境的需求不断增长,现有的智能房间设计往往缺乏将用户需求转化为功能解决方案的系统方法。目的:本研究提出一种整合卡诺模型、层次分析法和质量功能部署(Kano- ahp - qfd)框架来优化养老院痴呆患者智能客厅的设计。方法:通过文献综述和用户访谈,采用Kano模型对22种用户需求进行识别和分类。然后使用AHP对这些需求进行优先级排序,“行为识别(例如,跌倒,徘徊)”作为最高优先级出现,分配权重为0.3622。随后,QFD方法通过质量之家将这些加权需求转化为设计功能,从而产生一套优化的智能客厅设计。结果:研究表明,Kano-AHP-QFD的集成为系统解决痴呆患者的复杂需求提供了结构化和数据驱动的方法,增强了智能房间设计的科学严谨性和实用性。在实施优化的智能客厅设计后,用户满意度得分从61.655提高到80.663。结论:所提出的框架为旨在改善老年痴呆症患者生活质量的设计师、护理提供者和政策制定者提供了有价值的见解。也适用于康复中心、辅助生活设施等各种认知障碍护理场景,可为其他特殊用户群体的环境设计提供科学参考。
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
Herd-Health Environments Research & Design Journal
Herd-Health Environments Research & Design Journal PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
4.10
自引率
22.70%
发文量
82
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