农村慢性病老人数智化健康支持困境与优化路径——以南通市为例

Difficulties and Optimization Paths of Digital-Intelligent Health Support for Elderly Chronic Disease Patients in Rural Areas—A Case Study of Nantong City

摘要: 城镇化加剧农村家庭空巢化，传统健康照料模式难以满足农村慢性病老人需求，数智化是化解该难题的重要路径。本文以南通农村为研究对象，当地慢病老年群体规模大、慢病高发、数字素养偏低。依托福利多元主义理论与技术接受模型分析发现，当地已建成“平台 + 基层 + 服务”数智化健康供给体系，但存在技术适配不足、供需错位、老人数字能力薄弱、基层硬件短缺、配套制度不完善等问题。据此提出适配型智能设备研发、线上线下一体化服务、适老化数字培训、完善乡村数字基建、健全政策保障等优化路径，为数字乡村与健康乡村协同建设提供实践参考。

Abstract: Urbanization has aggravated the empty-nest phenomenon in rural families, making traditional health care models unable to satisfy rural elderly patients with chronic diseases. Digital intelligence serves as a vital solution to this challenge. Taking rural areas of Nantong as the research object, this study notes that local elderly residents with chronic diseases feature a large population base, high prevalence of chronic illnesses and low digital literacy. Based on Welfare Pluralism Theory and the Technology Acceptance Model, the analysis shows that a digital-intelligent health service system of “platform + grassroots institutions + services” has been established locally. However, it suffers from poor technological adaptation, supply-demand mismatch, insufficient digital capabilities among seniors, lack of grassroots hardware and imperfect supporting institutions. Accordingly, this paper proposes optimization measures including developing rural-oriented smart devices, building integrated online-offline services, conducting age-friendly digital training, upgrading rural digital infrastructure and improving policy safeguards, so as to offer practical references for the coordinated construction of Digital Villages and Healthy Villages.