图书情报工作 ›› 2021, Vol. 65 ›› Issue (9): 138-150.DOI: 10.13266/j.issn.0252-3116.2021.09.015

• 海外观察 • 上一篇    

国外健康信息规避行为研究综述

孙海霞   

  1. 中国医学科学院/北京协和医学院 医学信息研究所 北京 100020
  • 收稿日期:2020-10-29 修回日期:2021-02-02 出版日期:2021-05-05 发布日期:2021-06-02
  • 作者简介:孙海霞(ORCID:0000-0003-1745-540X),副研究员,博士,E-mail:sun.haixia@imicams.ac.cn。
  • 基金资助:
    本文系中央级公益性科研院所基本科研业务费项目"医学人工智能技术与人机交互关键问题研究"(项目编号:2018PT33024)研究成果之一。

A Review of Foreign Studies on Health Information Avoidance Behavior

Sun Haixia   

  1. Institute of Medical Information, Chinese Academy of Medical Science & Peking Union Medical College, Beijing 100020
  • Received:2020-10-29 Revised:2021-02-02 Online:2021-05-05 Published:2021-06-02

摘要: [目的/意义] 分析国外健康信息规避研究现状与趋势,为我国健康信息规避行为及相关用户行为研究提供参考。[方法/过程] 首先界定健康信息规避行为边界与特征,然后据此检索、回溯和筛选相关文献作为研究数据,详细分析既往研究所涉及的研究主题、研究结论和采用的研究方法,最后讨论不足与未来可能研究方向。[结果/结论] 规避动机、影响因素构成当前研究热点,有待形成权威理论模型;影响因素作用机理、规避过程、策略、结果与应对,是未来更具现实应用价值的选题;拓展健康信息规避情境,混合或引入现代数据采集和分析方法,有望成为研究创新突破点。

关键词: 健康信息行为, 健康信息规避, 影响因素, 规避策略, 规避结果, 规避应对

Abstract: [Purpose/significance] This paper aims to reviews the current status and trends of in foreign health information avoidance behavior research, and to provide reference for health information avoidance behavior and related user in research in China.[Method/process] Firstly, this paper defined the boundaries and characteristics of health information avoidance behavior. Then searched, backtracked and filtered relevant literature as research data, and made a detailed analysis of the research topics, research conclusions and research methods used in previous studies. Finally discussed the deficiencies and possible future research directions.[Result/conclusion] Avoidance motivation and influencing factors constitute the current research hotspots, but an authoritative theoretical model has not yet been formed; The mechanism of influencing factors and the avoidance process, strategy, result and response are important topics with practical application value in the future; Expanding health information avoidance scenarios, mixing or introducing modern data collection and analysis methods can become research innovations.

Key words: health information behavior, health information avoidance, influencing factor, avoidance strategy, avoidance consequence, avoidance response

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