School of Economics and Business Administration, Hubei University of Arts and Science, Xiangyang, China.
Economics and Management School, Wuhan University, Wuhan, China.
Front Public Health. 2021 Feb 4;8:602792. doi: 10.3389/fpubh.2020.602792. eCollection 2020.
The scarcity of medical resources is a fundamental problem worldwide; the development of information technology and the Internet has given birth to online health care, which has alleviated the above problem. The survival and sustainable development of the online health community requires users to continuously disclose their health and privacy. Therefore, it is a great practical significance to find out the factors and mechanisms that promote users' self-disclosure in the online health community. From the perspective of individual and situation interaction, this study constructed influencing factors model of health privacy information self-disclosure. Finally, we collected 264 valid samples from the online health community through online and offline questionnaire surveys and then use the SPSS20.0 and AMOS21.0 to conduct exploratory factor analysis, confirmatory factor analysis, scale reliability and validity analysis, and structural equation model analysis. The main findings are as follows: trust in websites and trust in doctors reduce the privacy concern. The privacy trade-off will not occur when trust is enough to offset the privacy concerns caused by personalized services, reciprocity norms, and other factors. Second, reciprocity norms are inevitably compulsive, which will increase privacy concerns. However, based on voluntariness, reciprocity norms can enhance user trust. Third, service quality caused by personalized services not only enhance the social rewards of users but also eliminate the privacy concern. Fourth, users' health privacy attention and information sensitivity are too high to decrease the influence of user' privacy concerns on personal health privacy information disclosure. The conclusions of this paper will help us to supplement privacy calculus theory and the application scope of the attention-based view. The proposed strategy of this article can be used to stimulate the information contribution behavior of users and improve the medical service capabilities in online health community.
医疗资源的稀缺是一个全球性的基本问题；信息技术和互联网的发展催生了在线医疗保健，这缓解了上述问题。在线健康社区的生存和可持续发展需要用户不断披露他们的健康和隐私信息。因此，找出促进用户在在线健康社区中自我披露的因素和机制具有重要的现实意义。本研究从个体和情境交互的角度出发，构建了健康隐私信息自我披露的影响因素模型。最后，我们通过在线和线下问卷调查从在线健康社区收集了 264 个有效样本，然后使用 SPSS20.0 和 AMOS21.0 进行探索性因子分析、验证性因子分析、量表信度和效度分析以及结构方程模型分析。主要发现如下：对网站和医生的信任会降低隐私顾虑。当信任足以抵消个性化服务、互惠规范等因素引起的隐私顾虑时，隐私权衡就不会发生。其次，互惠规范不可避免地具有强制性，这会增加隐私顾虑。然而，基于自愿性，互惠规范可以增强用户信任。第三，个性化服务带来的服务质量不仅增强了用户的社会回报，而且消除了用户的隐私顾虑。第四，用户的健康隐私关注度和信息敏感度过高，降低了用户隐私顾虑对个人健康隐私信息披露的影响。本文的结论将有助于补充隐私计算理论和注意基础观的应用范围。本文提出的策略可以用来激发用户的信息贡献行为，提高在线健康社区的医疗服务能力。
