基于智能穿戴设备的慢病自我管理机制及优化策略研究

伴随着人口老龄化，慢病已成为我国居民健康的最主要威胁。因而，迫切需要有效、可及的慢病自我管理模式。智能穿戴设备及其健康管理app，有望提供新的解决方案。然而，目前设备使用及慢病自我管理效果却并不理想。本课题基于信息系统成功模型、慢病自我管理理论和价值医疗视角，以中老年人为研究对象，探讨基于智能穿戴设备的慢病自我管理机制和优化策略。首先，从信息系统成功模型和慢病自我管理理论出发，探讨智能穿戴设备的使用意向、持续使用意向与健康信息分享意向。进而，基于纵贯调查设计和匹配方法、固定效应模型、广义估计方程等计量经济模型，评估智能穿戴设备对慢病自我管理的影响效果及作用机制。最后，识别优化策略、构建慢病自我管理仿真模型，以优化群体层面的医疗服务价值为目标，研究了慢病自我管理优化策略和实施方案。本项目立足健康中国战略和老龄化背景下的重大现实需求，为如何使用IT促进慢病自我管理提供了理论基础和实践方案。

With the population aging, chronic diseases have become the main threat to the health of Chinese residents. Therefore, there is an urgent need for effective and accessible chronic disease self-management modes. Smart wearable devices along with the health management apps are expected to provide new solutions. However, the current equipment use and impacts on chronic disease management are not satisfactory. Based on the information system success model, chronic disease self-management theory and value-based healthcare perspective, our research project aims to discuss the chronic disease self-management mechanism and optimization strategy based on smart wearable devices for middle-aged and elderly people. First, we discuss the use the intention to use, continuous use, and share health information of smart wearable devices based on the information system success model and the chronic disease self-management theory. Based on the longitudinal survey design and econometric models such as matching methods, fixed-effect models, and generalized estimation equations, we further evaluate the effects of smart wearable devices on chronic disease self-management and explore the mechanisms. Finally, we identify the optimization strategy, construct a chronic disease self-management simulation model, and optimize the group-level healthcare service value, which results in the optimization strategies and implementation plans. This research project starts from the urgent practical needs in the context of the “Healthy China 2030” strategy and population aging, and provides a theoretical basis and practical solutions for how to use IT to promote chronic disease self-management.