Survey on the satisfaction of community elderly care service and its optimization strategies: A case study of S district in Shanghai

Yujie Liu (), Cheng Qipin (), Rong Li () and Fu Jingxia ()

Journal of Asian Scientific Research, 2024, vol. 14, issue 3, 444-455

Abstract: This study aims to understand the willingness and satisfaction of the elderly with smart elderly care services in Shanghai, and to put forward optimization suggestions for improving the quality of community elderly care services. Taking S District of Shanghai as an example, this paper adopts the methods of investigation and interview to comprehensively understand the construction of a community elderly care service system and the supply of smart elderly care services in S District of Shanghai. Through the questionnaire survey method, the basic information of the elderly in the community was understood, and problems such as the imbalance of supply and demand of the community elderly care service, the construction obstacles of the community smart elderly care service system, and the unsalable smart elderly care service products were analyzed. Relying on the concept and technical system of intelligent elderly care service, this paper is conducive to solving the core problems existing in the current Shanghai elderly care service system in the depth of matching supply and demand, helping to build the "Shanghai model" of smart elderly care service system, and providing a reference for China's elderly care service system. In this study, through practical investigation, the service supply mode, content, and effectiveness of community intelligent elderly care in S District were investigated. Through the questionnaire survey, we can understand the elderly's needs for smart elderly care services and service evaluation. The data collected is unique and novel.

Keywords: Community elderly care; Community Intelligent elderly care; Elderly care; Elderly care service system; Intelligent elderly care; Satisfaction survey; Service optimization. (search for similar items in EconPapers)
Date: 2024
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