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颠覆传统的老年护理模式:通过创新的长期护理体系构建更健康的老龄化社会,并评估长期护理接受模型。

Revolutionizing elderly care: Building a healthier aging society through innovative long-term care systems and assessing the long-term care acceptance model.

机构信息

Information Technology International Program, College of Computing, Khon Kaen University, Khon Kaen, Thailand.

Center of Excellence in Digital Innovation, Faculty of Education, Khon Kaen University, Khon Kaen, Thailand.

出版信息

Geriatr Gerontol Int. 2024 May;24(5):477-485. doi: 10.1111/ggi.14856. Epub 2024 Apr 7.

Abstract

AIM

With a growing elderly population, the demand for caregivers is increasing in Khon Kaen, Thailand, with approximately 17 000 elderly residents. This growing number of older people and a shortage of caregivers could overload the healthcare system.

METHODS

The present study involved 129 healthcare volunteers (caregivers for questionnaires study) and the collection of health data from 290 elderly residents from northeastern Thailand. After training, the volunteers assessed its usefulness through questionnaires. Tool reliability and statistical hypotheses were tested using stratified regression analysis (hierarchical regression) and multiple regression.

RESULTS

The relative mean scores of perceived usefulness, perceived ease of use, attitude toward usage and behavioral intention to use technology were 4.51, 4.29, 4.44 and 4.41, respectively. In addition, perceived usefulness and user attitudes positively affected volunteers' willingness to use the system.

CONCLUSION

The study was developed from the awareness of enhancing community quality and ecosystem through a long-term care system application. Analyzing external factors can enhance technology's future effectiveness. Geriatr Gerontol Int 2024; 24: 477-485.

摘要

目的

随着泰国孔敬老年人口的增长,对护理人员的需求也在增加,大约有 17000 名老年居民。老年人数量的增加和护理人员的短缺可能会使医疗保健系统不堪重负。

方法

本研究涉及 129 名医疗保健志愿者(问卷调查研究的护理人员)和来自泰国东北部的 290 名老年居民的健康数据收集。培训后,志愿者通过问卷评估其有用性。使用分层回归分析(层次回归)和多元回归测试工具的可靠性和统计假设。

结果

感知有用性、感知易用性、使用态度和使用技术的行为意向的相对平均得分分别为 4.51、4.29、4.44 和 4.41。此外,感知有用性和用户态度积极影响志愿者使用该系统的意愿。

结论

本研究是从通过长期护理系统应用提高社区质量和生态系统意识的角度出发的。分析外部因素可以提高技术的未来效果。老年医学与老年病学国际 2024;24:477-485。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c4/11503550/d330dfecbf3f/GGI-24-477-g004.jpg

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本文引用的文献

1
Safely and Actively Aging in Place: Older Adults' Attitudes and Intentions Toward Smart Home Technologies.
Gerontol Geriatr Med. 2021 May 22;7:23337214211017340. doi: 10.1177/23337214211017340. eCollection 2021 Jan-Dec.
2
The role of artificial intelligence in healthcare: a structured literature review.
BMC Med Inform Decis Mak. 2021 Apr 10;21(1):125. doi: 10.1186/s12911-021-01488-9.
3
City Data Hub: Implementation of Standard-Based Smart City Data Platform for Interoperability.
Sensors (Basel). 2020 Dec 7;20(23):7000. doi: 10.3390/s20237000.
4
The Internet of Things: Impact and Implications for Health Care Delivery.
J Med Internet Res. 2020 Nov 10;22(11):e20135. doi: 10.2196/20135.
5
An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques.
Sensors (Basel). 2020 Oct 26;20(21):6076. doi: 10.3390/s20216076.
6
Health monitoring through wearable technologies for older adults: Smart wearables acceptance model.
Appl Ergon. 2019 Feb;75:162-169. doi: 10.1016/j.apergo.2018.10.006. Epub 2018 Oct 25.
8
Understanding Older People's Readiness for Receiving Telehealth: Mixed-Method Study.
J Med Internet Res. 2018 Apr 6;20(4):e123. doi: 10.2196/jmir.8407.
10
Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model.
Int J Med Inform. 2017 May;101:75-84. doi: 10.1016/j.ijmedinf.2017.02.002. Epub 2017 Feb 10.

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