Network Aging Research, Heidelberg University, Germany.
Mixed Methods Research, Heidelberg University of Education, Germany.
Res Aging. 2020 Jun-Jul;42(5-6):163-173. doi: 10.1177/0164027520911286. Epub 2020 Mar 13.
This study examines technology adoption among oldest-old cohorts (80+) in private homes and long-term care facilities and analyzes relationships between individual characteristics, the living environment, and different kinds of assistive technologies (AT) and information and communication technologies (ICT). The data analysis is based on a representative survey of the oldest-old group's quality of life and well-being in North Rhine-Westphalia, Germany ( = 1,863; age range: 80-103; 12.7% long-term care). Descriptive and multiple binary logistic regression analyses were conducted. Fewer than 3% of people in long-term care used internet-connected ICT devices. AT and ICT device adoption is associated with the living environment and individual characteristics (e.g., functional health, chronological age, education, and technology interest), and different patterns of ICT and AT use can be observed. These results indicate that individual characteristics and the living environment are both decisive in the use of technology among the oldest-old group.
本研究考察了私人住宅和长期护理机构中最年长群体（80 岁以上）的技术采用情况，并分析了个体特征、生活环境以及各种辅助技术（AT）和信息通信技术（ICT）之间的关系。数据分析基于德国北莱茵-威斯特法伦州最年长群体生活质量和幸福感的代表性调查（=1863；年龄范围：80-103；12.7%长期护理）。进行了描述性和多项二元逻辑回归分析。在长期护理中，使用连接互联网的 ICT 设备的人数不到 3%。AT 和 ICT 设备的采用与生活环境和个体特征（例如，功能健康、实际年龄、教育程度和技术兴趣）相关，并且可以观察到不同的 ICT 和 AT 使用模式。这些结果表明，个体特征和生活环境在最年长群体的技术使用中都具有决定性作用。
