科技情报研究2025，Vol.7Issue(4)：1-12,12.DOI:10.19809/j.cnki.kjqbyj.2025.04.001
敏感度视角下用户数字医疗健康信息隐私偏好研究
Research on Users'Privacy Preferences for Digital Medical Health Information from the Perspective of Sensitivity:Based on a Discrete Choice Experiment
摘要
Abstract
[Purpose/significance]This study investigates differences in digital medical-health information privacy pref-erences by measuring privacy sensitivity across diverse user groups in multiple contextual scenarios,analyzing varia-tions both within user groups(across contexts)and between user groups(within the same context),thereby providing actionable insights for developing context-aware health information protection frameworks in digital healthcare servic-es.[Method/process]A model of users'sensitivity to digital medical health information was constructed based on con-textual integrity theory,and an experimental study was conducted using a discrete choice experiment method.The model was verified and analyzed using a binary logistic regression model.[Result/conclusion]The study shows that in the information subject dimension,highly educated users are more willing to pay extra fees to choose platforms with a higher level of privacy protection or the ability to set a higher level of privacy on their own compared to less educated users.Regarding communication principles,users prefer platforms that offer transparent and easily comprehensible privacy policies.In terms of information types,users tend to safeguard their health status information and payment da-ta while being willing to share basic personal information and medical application data to a certain extent in exchange for more convenient healthcare services or health management solutions.关键词
医疗健康信息/信息敏感度/隐私偏好/场景完整性理论/离散选择实验/二元logistics回归模型/敏感信息保护Key words
medical health information/information sensitivity/privacy preference/contextual integrity theory/dis-crete choice experiment/binary logistic regression model/sensitive information protection分类
社会科学引用本文复制引用
朱红灿,陈继丽,郑恺迪,刘先超..敏感度视角下用户数字医疗健康信息隐私偏好研究[J].科技情报研究,2025,7(4):1-12,12.基金项目
湖南省社会科学基金重点项目"突发公共卫生事件中'信息疫情'生成机理及应对策略研究"(编号:21ZDB009) （编号:21ZDB009）
2023年湖南省研究生科研创新项目"数据要素市场培育机制研究"(编号:CX20230674) （编号:CX20230674）
