Elderly care has emerged as a pressing concern for society as a whole in the setting of global aging. The elderly care service information system can play an important role in the study of elderly care issues. This study uses Anderson's Behavioral Model and Maslow's Hierarchy of Needs Theory as the analytical framework and guide, applies multiple logistic regression analysis, and is bases on the data from the elderly care service information system to study the factors influencing the demand for elderly care services and the interaction between the influencing factors in terms of predisposing factors, enabling factors and need factors. Compared with physiological demand, age, living status and self-care ability have a significant impact on physiological demand. Environmental demands are significantly influenced by age, educational level, living status, child support situation and self-care ability, while gender does not have a significant effect on either type of demand. The main effects model fits better with the addition of the interaction term. There is a significant interaction effect between the three types of factors. Finally, this study proposes suggestions from two perspectives: the supply of elderly care services and the construction of the elderly care service information system.
Ke, Fan and Liang, Luoming, "Research on the influencing factors of demand for elderly care services based on data of elderly care service information system" (2022). ICEB 2022 Proceedings (Bangkok, Thailand). 37.