图书情报工作 ›› 2021, Vol. 65 ›› Issue (11): 46-54.DOI: 10.13266/j.issn.0252-3116.2021.11.005

• 专题:用户在线健康信息行为研究 • 上一篇    下一篇

移动终端视角下的老年用户在线健康信息搜寻行为影响因素研究

刘嫣1, 张海涛1,2, 李佳玮1, 刘伟利1   

  1. 1. 吉林大学管理学院 长春, 130022;
    2. 吉林大学信息资源研究中心 长春, 130022
  • 收稿日期:2020-10-13 修回日期:2021-03-29 出版日期:2021-06-05 发布日期:2021-06-10
  • 通讯作者: 张海涛(ORCID:0000-0002-9421-8187),教授,博士生导师,通讯作者,E-mail:zhtinfo@126.com。
  • 作者简介:刘嫣(ORCID:0000-0002-8672-9198),博士研究生。

Research on Influencing Factors of Online Health Information Search Behaviors of Elderly Users from the Perspective of Mobile Terminals

Liu Yan1, Zhang Haitao1,2, Li Jiawei1, Liu Weili1   

  1. 1. School of Management, Jinlin University, Changchun 130022;
    2. Resource Research Center, Jilin University, Changchun 130022
  • Received:2020-10-13 Revised:2021-03-29 Online:2021-06-05 Published:2021-06-10

摘要: [目的/意义] 结合目前人口老龄化日渐严重的社会背景,探究我国老年用户在线健康信息搜寻的行为机理,丰富当前老年用户信息搜寻行为理论研究成果,引导老年用户有效搜寻健康信息,优化健康信息服务部门工作。[方法/过程] 采用半结构化访谈的方法收集24位老年用户的在线健康信息搜寻经历,运用扎根理论提炼出老年用户在线健康信息搜寻行为的内外5个影响因素,构建老年用户在线健康信息搜寻行为影响因素的理论模型。[结果/结论] 最终得到网络环境因素、个体特征因素、社会支持因素、移动终端客观因素和个体认知因素是影响老年用户在线健康信息搜寻行为的关键因素,深入阐释各因素与搜寻行为间的作用机理。并根据理论模型,对政府、医疗机构、APP类软件等健康信息提供方提出一些可行的建议。

关键词: 健康信息, 老年用户, 扎根理论, 用户信息搜寻行为

Abstract: [Purpose/significance] Combined with the current social background of the aging population, this paper explores the behavior mechanism of online health information search of elderly users in China from the perspective of mobile terminals, to enrich the current research results of information search behavior of elderly users and guide elderly users to effectively search for health information and optimize the work of the health information service department. [Method/process] This paper used the semi-structured interview method to collect online health information search experiences of 24 elderly users, utilized grounded theory to extract five influencing factors of online health information search behavior of elderly users. And it constructed a theoretical model of factors affecting online health information search behavior of elderly users.[Result/conclusion] Finally, it’s found that network environment factors, individual characteristic factors, social support factors, mobile terminal objective factors, and individual cognitive factors are the key factors that affect the online health information search behavior of elderly users, and the influencing mechanism among these factors is explained in depth. This paper also puts forward some feasible suggestions to the government, medical institutions, APP software and other health information providers based on the theoretical model.

Key words: health information, elderly users, grounded theory, user information search behavior

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