基于决策实验室分析的智慧医疗服务老年患者使用行为影响因素研究
A Study of Factors Influencing the Use Behaviour of Elderly Patients in Smart Medical Services Based on Decision-making Trial and Evaluation Laboratory
韩晓宏 1孙悦2
作者信息
- 1. 吉林大学第一医院 吉林 长春 130021
- 2. 长春工程学院 吉林 长春 130012
- 折叠
摘要
目的 以吉林省某三甲医院智慧医疗系统为例,识别和分析影响智慧医疗服务老年患者使用行为的关键影响因素,为促进智慧医疗服务老年患者使用和智慧医疗服务适老化改造提供依据.方法 通过分析智慧医疗服务老年患者使用行为影响因素,运用决策实验室分析法对影响智慧医疗服务老年患者使用行为的因素进行关联分析.结果 对所有影响因素的中心度和原因度进行计算,识别影响智慧医疗服务老年患者使用行为的关键影响因素.其中原因度因素主要有医院适老化改造意愿、关键人群影响和国家相关政策支持,中心度主要因素为患者感知成本.结论 从改进智慧医疗服务、提升老年患者健康信息素养和发挥社会支持效应等方面降低老年患者的感知成本,促进老年患者的智慧医疗服务使用行为.
Abstract
Objective To identify and analyze the key factors affecting the use behavior of elderly patients with smart medical services by taking the smart medical system of a top-three hospital as an example,so as to provide a basis for promoting the use of smart medical services for elderly patients and the age-appropriate transformation of smart medical services.Methods The factors influencing the use behavior of elderly patients with smart medical services were analyzed,and correlation analysis of factors influencing the use behaviour of elderly patients with smart medical services were analyzed by DEMATEL method.Results The centrality and causation of all influencing factors were calculated,and the key influencing factors affecting the use behavior of elderly patients with smart medical services were identified.Among them,the main factors of reason degree are the hospital's willingness to adapt to aging transformation,the influence of key population and relevant national policy support,and the main factor of center degree is the perceived cost of patients.Conclusion The perceived cost of elderly patients can be reduced by improving the smart medical service,enhancing the health information literacy of elderly patients and giving full play to the social support effect,so as to promote the use behavior of elderly patients'smart medical services.
关键词
智慧医疗服务/老年患者/使用行为/影响因素/决策实验室分析Key words
smart medical services/elderly patients/usage behaviour/influencing factors/DEMATEL引用本文复制引用
出版年
2024
NETL
NSTL
万方数据