Suppr超能文献

Care4AD:一个用于护理协调与管理的技术驱动平台:痴呆症的可接受性研究

Care4AD: A Technology-Driven Platform for Care Coordination and Management: Acceptability Study in Dementia.

作者信息

Mishra Ram Kinker, Park Catherine, Momin Anmol Salim, Rafaei Nesreen El, Kunik Mark, York Michele K, Najafi Bijan

机构信息

Interdisciplinary Consortium on Advanced Motion Performance (iCAMP), Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, USA,

Interdisciplinary Consortium on Advanced Motion Performance (iCAMP), Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, USA.

出版信息

Gerontology. 2023;69(2):227-238. doi: 10.1159/000526219. Epub 2022 Sep 12.

Abstract

INTRODUCTION

The technology-driven solution can reduce the caregiving burden; however, the needs of dementia caregiving are unique, and attitudes towards adopting technology from the perspectives of all the stakeholders involved in dementia caregiving are unclear. This study aims to assess the acceptability and feasibility of a technology-driven platform to facilitate care coordination platform, Care4AD, from the end-user perspective.

METHODS

Care4AD includes three components: (1) Care4AD app: the app is used by caregivers to coordinate care, monitor physical activity, and schedule reminders; (2) Care4AD tablet: a smart tablet is used by the care recipient to display scheduled reminders; and (3) Care4AD tags: a series of wireless sensor tags attached to various objects of daily care to facilitate monitoring instrumental activities of daily living (IADL) and adherence to scheduled tasks. Stakeholders in caregiving, including 11 experts in dementia care (age: 53.3 ± 8, 73% female), 10 individuals with dementia (IWD) (age: 76.1 ± 7.3, 50% female), and 14 caregivers (age: 66.9 ± 10.6, 75% female) were interviewed to determine perceived ease of use, attitude towards use, and perceived usefulness, based on the technology acceptance model (TAM) questionnaire. Additionally, we assessed technology anxiety and concerns with data sharing by caregivers and IWD. The interviews were conducted through videoconferencing or in-person meetings. The interview was composed of open-ended questions, a demonstration of the proposed Care4AD platform, and a survey based on TAM.

RESULTS

Compared to the neutral response, stakeholders showed significantly higher acceptance (70-100% satisfied to highly satisfied, p < 0.05) for all components of the TAM. Among IWD, age (r = -0.68, p = 0.03) and for caregivers the perceived ease of use (r = 0.73, p < 0.01) were significant predictors of attitude towards using the technology. Interestingly, neither concerns about data sharing nor educational level were limiting factors in the acceptability of the system in our sample.

CONCLUSION

Overall, the results support a high perception of usefulness, ease of use, and attitude towards using Care4AD. The key barriers to adopting such technology are the age of IWD and the caregiver's perception of ease of use. Future studies are warranted to explore the effectiveness of such a platform to reduce caregiver stress and improve the quality of life and independence of IWD.

摘要

引言

技术驱动的解决方案可以减轻护理负担;然而,痴呆症护理的需求是独特的,而且从痴呆症护理所有利益相关者的角度来看,对采用技术的态度尚不清楚。本研究旨在从最终用户的角度评估一个技术驱动的平台(Care4AD)促进护理协调的可接受性和可行性。

方法

Care4AD包括三个组件:(1)Care4AD应用程序:护理人员使用该应用程序来协调护理、监测身体活动并安排提醒;(2)Care4AD平板电脑:护理接受者使用智能平板电脑来显示预定提醒;(3)Care4AD标签:一系列无线传感器标签附着在日常护理的各种物品上,以方便监测日常生活工具性活动(IADL)和对预定任务的依从性。护理方面的利益相关者,包括11名痴呆症护理专家(年龄:53.3±8岁,73%为女性)、10名痴呆症患者(年龄:76.1±7.3岁,50%为女性)和14名护理人员(年龄:66.9±10.6岁,75%为女性)接受了访谈,以根据技术接受模型(TAM)问卷确定感知易用性、使用态度和感知有用性。此外,我们评估了护理人员和痴呆症患者对数据共享的技术焦虑和担忧。访谈通过视频会议或面对面会议进行。访谈由开放式问题、拟议的Care4AD平台演示以及基于TAM的调查组成。

结果

与中性反应相比,利益相关者对TAM的所有组件表现出显著更高的接受度(70 - 100%满意至高满意,p < 0.05)。在痴呆症患者中,年龄(r = -0.68,p = 0.03)以及对于护理人员来说,感知易用性(r = 0.73,p < 0.01)是使用该技术态度的显著预测因素。有趣的是,在我们的样本中,对数据共享的担忧和教育水平都不是该系统可接受性的限制因素。

结论

总体而言,结果支持对Care4AD的有用性、易用性和使用态度的高度认可。采用此类技术的关键障碍是痴呆症患者的年龄和护理人员对易用性的感知。未来有必要进行研究,以探索这样一个平台在减轻护理人员压力以及改善痴呆症患者生活质量和独立性方面的有效性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验