■随着人工智能和物联网技术的快速发展,家庭内部支持系统逐渐弱化,这已经不能满足老年人目前的需求。在这种情况下,智能养老已成为新的发展方向。然而,现有关于智慧养老需求的研究主要集中在中国东部经济发达省份和特大城市,其研究成果或结论可能不适用于西部欠发达地区。因此,本研究以西部欠发达地区的代表城市兰州市为研究对象,调查老年人对智慧养老的需求并分析其影响因素。
■这项横断面研究包括来自兰州的4815名老年人,中国。设计了结构化问卷,以调查老年人对智能高级护理的需求并分析其影响因素。采用卡方检验对各变量进行单因素分析。逻辑回归模型包括统计学上有意义的变量,以分析影响老年人对智能高级护理需求的因素。P<0.05的显著性水平被认为是统计学上显著的。
■在接受调查的老年人中,1,625(33.75%)表达了对智能养老的需求。研究结果表明,参与者的年龄,教育水平,婚姻状况,月收入,儿童数量,养老保险的类型,智能老年护理知识与他们对智能老年护理的需求显著相关(p<0.05)。值得注意的是,医疗服务成为最高需求率(79.45%)的智能养老服务。
■在兰州,老年人的知识水平较低,但对智能老年护理的需求却很高。他们的需求受到个人的影响,家庭,健康状况,高级护理安全,和其他因素。为了推进智能养老,政府部门应加快完善智能养老法律法规,同时大力加强服务宣传,提高对智能养老的认识。此外,应扩大智慧养老服务内容,以满足老年人的多样化需求。
UNASSIGNED: With the rapid development of artificial intelligence and Internet-of-Things technology, internal support systems among families are gradually weakening, which can no longer satisfy the current demands of older adults. In this context, smart senior care has become a new development direction. However, existing studies on the demand for smart senior care are primarily concentrated in economically developed provinces and mega-cities in eastern China; their research results or conclusions may not apply to underdeveloped areas in the Western region. Therefore, our study selects Lanzhou as a representative city in an underdeveloped western region to investigate the demand of older adults for smart senior care and analyze the influencing factors.
UNASSIGNED: This cross-sectional study included 4,815 older adults from Lanzhou, China. A structured questionnaire was designed to investigate the demands of the older adults for smart senior care and analyze thie influencing factors. The Chi-square test was used for single factor analysis of each variable. The logistic regression model included the statistically significant variables to analyze factors influencing older adults\' demand for smart senior care. A significance level of p < 0.05 was considered statistically significant.
UNASSIGNED: Among the surveyed older adults, 1,625 (33.75%) expressed a demand for smart senior care. The finding indicated that participants\' age, level of education, marital status, monthly income, number of children, type of endowment insurance, and knowledge of smart senior care were significantly associated with their demands for smart senior care (p < 0.05). Notably, medical care emerged as the smart senior care service with the highest demand rate (79.45%).
UNASSIGNED: In Lanzhou, older adults show a low level of knowledge but a high demand for smart senior care. Their demand is influenced by personal, family, health conditions, senior care security, and other factors. To advance smart senior care, government departments should accelerate the improvement of the laws and regulations on smart senior care while vigorously enhancing the service\'s publicity to raise knowledge about it. Additionally, the service contents for smart senior care should be expanded to meet the diversified demands of older adults.