Analysis of the willingness and influencing factors of the elderly to assist medical services -Taking Urumqi as an example
老年人助医陪诊服务的意愿及影响因素分析——以乌鲁木齐市为例

摘要

在我国人口老龄化加剧与医疗资源分布不均的背景下，老年人“看病难”问题日益突出。助医陪诊服务作为提升老年人就医体验的关键举措，其推广与使用意愿的研究具有重要意义。本研究以乌鲁木齐市老年人为研究对象，采用问卷调查与半结构化访谈相结合的方法，基于安德森卫生服务利用行为模型，系统分析了老年人对助医陪诊服务的认知、意愿及其影响因素。研究发现：城乡差异显著，城镇老年人服务意愿更强；家庭支持与经济负担是影响意愿转化为行为的关键因素；自理能力、自评健康及感知就医困难是服务需求的主要驱动力，且对服务的了解程度正向影响使用意愿。针对以上问题，本文提出城镇先行、建立多元化支付体系、加大宣传力度、行业标准规范化等政策建议，以期为乌鲁木齐市乃至边疆多民族地区助医陪诊服务的可持续发展提供实证依据与政策参考。

Abstract

Under the background of the aging population and the uneven distribution of medical resources in China, the problem of " difficulty in seeing a doctor " for the elderly has become increasingly prominent. As a key measure to improve the medical experience of the elderly, it is of great significance to study the promotion and willingness to use the medical service. This study takes the elderly in Urumqi as the research object, adopts the method of questionnaire survey and semi-structured interview, and based on Anderson 's health service utilization behavior model, systematically analyzes the elderly 's cognition, willingness and influencing factors of medical assistance and accompanying services. The study found that there are significant differences between urban and rural areas, and the elderly in urban areas are more willing to serve; family support and economic burden are the key factors affecting the transformation of willingness into behavior. Self-care ability, self-rated health and perceived medical difficulties are the main driving forces of service demand, and the degree of understanding of services positively affects the willingness to use. In view of the above problems, this paper puts forward some policy suggestions, such as town first, establishing a diversified payment system, increasing publicity, standardizing industry standards, etc., in order to provide empirical basis and policy reference for the sustainable development of medical assistance and accompanying services in Urumqi and even border multi-ethnic areas.