| 姚山季,史雪艳,严锐,刘佳静.基于元分析的用户健康隐私信息披露意愿影响因素研究[J].数字图书馆论坛,2025,21(8):35~45 |
| 基于元分析的用户健康隐私信息披露意愿影响因素研究 |
| Meta-Analysis of Factors Influencing Users’ Willingness to Disclose Health Privacy Information |
| 投稿时间：2025-07-18 |
| DOI：10.3772/j.issn.1673-2286.2025.08.004 |
| 中文关键词: 健康隐私信息；信息披露意愿；影响因素；元分析；调节作用 |
| 英文关键词: Health Privacy Information; Willingness to Disclose Information; Influencing Factor; Meta-Analysis; Moderating Effect |
| 基金项目:本研究得到国家社会科学基金重点项目“数字营销背景下消费者福祉困境及其治理研究”（编号：22AGL022）、江苏高校“青蓝工程”优秀教学团队资助项目资助。 |
| 作者 | 单位 | | 姚山季 | 南京工业大学经济与管理学院 | | 史雪艳 | 南京工业大学经济与管理学院 | | 严锐 | 河海大学商学院 | | 刘佳静 | 南京工业大学经济与管理学院 |
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| 中文摘要: |
| 随着“互联网+医疗健康”服务的深入发展，健康隐私信息披露问题受到广泛关注，相关研究不断增多，但实证结论仍存在分歧。为弥合相关研究结论差异，采用元分析方法，对筛选出的62篇实证文献的201个独立效应值进行整合分析，归纳出19个前因变量与4个调节变量。结果表明，共有15个因素显著影响用户健康隐私信息披露意愿，其中感知收益、个性化服务、主观规范等产生较强正向影响，感知风险呈显著负向影响。此外，社会属性、文化差异和性别对部分效应关系产生显著调节作用，说明不同用户群体在隐私权衡与决策逻辑上存在差异。研究结论不仅系统梳理和量化了用户健康隐私信息披露的关键影响因素，也揭示了情境与个体差异在其中的重要作用，为后续在数字健康环境中设计更具针对性的隐私政策与服务机制提供理论支持和实践指导。 |
| 英文摘要: |
| With the deepening development of “Internet+Healthcare” services, the issue of health privacy information disclosure has attracted extensive attention, leading to a growing body of research. However, empirical findings remain inconsistent. To reconcile these discrepancies, this study employs a meta-analytic approach to synthesize 201 independent effect sizes extracted from 62 empirical studies, covering 19 antecedent variables and 4 moderators. The results indicate that 15 factors significantly influence users’ willingness to disclose health-related privacy information. Among them, perceived benefits, personalized services, and subjective norms exert strong positive effects, while perceived risk shows a significant negative effect. Moreover, social attributes, cultural differences, and gender significantly moderate several effect relationships, indicating that users vary in their privacy trade-offs and decision-making logics. This study systematically identifies and quantifies the key determinants of health privacy disclosure and highlights the critical role of contextual and individual differences, offering theoretical support and practical guidance for developing more targeted privacy policies and service mechanisms in digital health environments. |
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