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健康信息偶遇情境下高血压患者信息共享意愿影响因素研究

  • 方洁 ,
  • 杨轶涵 ,
  • 王斐
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  • (新疆财经大学信息管理学院 乌鲁木齐 830012)
方洁,女,1974年生,新疆财经大学信息管理学院副教授,硕士生导师。 杨轶涵,女,1999年生,新疆财经大学信息管理学院硕士研究生。 王斐,女,1999年生,新疆财经大学信息管理学院硕士研究生。

网络出版日期: 2024-07-12

基金资助

本文系国家社会科学基金项目“西部民族地区群体性事件情境下微信舆情传播及引导研究”(批准号:17BXW084)、新疆财经大学高层次人才项目“突发公共事件情境下社交媒体信息主题演化与影响力构建研究”(项目编号:2022XGC018)的研究成果之一。

Study on the Influencing Factors of Information Sharing Willingness of Hypertensive Patients under the Context of Health Information Encounter

  • Fang Jie ,
  • Yang Yihan ,
  • Wang Fei
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  • (Institute of Information Management, Xinjiang University of Finance and Economics, Urumqi,830012)

Online published: 2024-07-12

摘要

[目的/意义]以健康信息偶遇为研究情境,探索高血压患者健康信息共享意愿的影响因素,丰富高血压患者健康信息行为研究,以期提升患者健康信息分享意愿,为高血压患者的健康管理及社交媒体的运营策略提供有价值的参考。[方法/过程]基于心流模型和任务技术适配模型从高血压患者、社交媒体工具、任务情境三个维度建立健康信息偶遇情境下的信息共享意愿模型,采用问卷调查方法收集到552份有效问卷,使用SPSS 26.0和AMOS 26.0检验假设及中介效应。[结果/结论]高血压患者的面子需求、健康自我效能、技术特征、隐私保护、感知有用性、任务技术适配和心流体验直接促进健康信息共享意愿;技术特征、放松的任务特征和任务技术适配正向影响偶遇时的心流体验;健康信息偶遇时产生的心流体验在技术特征、任务特征和任务技术适配与健康信息共享意愿之间的中介作用得到验证。

本文引用格式

方洁 , 杨轶涵 , 王斐 . 健康信息偶遇情境下高血压患者信息共享意愿影响因素研究[J]. 情报资料工作, 2024 , 45(4) : 76 -86 . DOI: 10.12154/j.qbzlgz.2024.04.008

Abstract

[Purpose/significance] This study focuses on hypertensive patients in health information encounters and aims to investigate the factors that influence their willingness to share health information. The objective is to enhance patients’willingness to share health information and provide valuable insights for the health management of hyperten⁃sive patients and the operational strategy of social media. We aimed to establish an information sharing willingness model in the context of health information encounters. [Method/process] To achieve this, we utilized the heart flow model and task technology fit model. A questionnaire survey method was employed to collect 552 valid responses. To test our hypotheses and mediating effects, we used SPSS 26.0 and AMOS 26.0. [Result/conclusion] The study has found that several factors directly impact on the willingness of hypertensive patients to share health information. These factors include face wants, health self-efficacy, technology characteristics, privacy protection, perceived usefulness,task technology fit, and heart flow experience. Additionally, technology characteristics, relaxed task characteristics and task technology fit positively influence the heart flow experience during encounters. The study has also confirmed that the heart flow experience during encounters mediator the relationship between technology characteristics, task charac⁃teristics, task technology fit, and health information sharing willingness.
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