An Empirical Analysis on the Cognition and Service Demands of Smart Elderly Care Users: Taking Guangzhou's N Community as an Example

Abstract

[Purpose/Significance] At present, the construction of China's smart elderly care system is in the early stage of development. Understanding the cognition and needs of the elderly for smart elderly care services is conducive to the further development and service optimization of smart elderly services. [Methods/Process] The convenience sampling method was adapted to survey 161 elderly people in the N community in Guangzhou, and the statistical software SPSS 22.0 was used for data statistics, and the results were descriptive statistical analysis and cross-analysis. [Results/Conclusions]Respondents have low awareness of smart elderly care (16.2%), but the overall demand is high (67.7%), especially the demand for basic services is strong, but they are sensitive to service prices and the proportion of respondents who are willing to pay higher fees is low (21.1%); Gender, age, education level and other factors have significant differences in the demand for some smart elderly care services. It is recommended to increase the in-depth integration of information technologies and old-age assistance, cultivate new forms of smart old-age care, improve infrastructure construction, and build a demand-oriented smart old-age care service system that integrates medical care, health, and recreation.