可靠性
社会化媒体
计算机科学
信息共享
结果(博弈论)
构造(python库)
心理学
医疗保健
来源可信度
经验证据
实证研究
健康信息
情感(语言学)
健康传播
社会心理学
万维网
哲学
数学
数理经济学
认识论
沟通
政治学
法学
经济
程序设计语言
经济增长
作者
Lu Yan,Xiangbin Yan,Yong Tan,Sherry Sun
摘要
Despite our understanding that social media and online healthcare communities can help to eliminate health information asymmetry and improve patients’ self‐care engagement, we have yet to understand what happens when patients have access to others’ health data and how patients’ access to these shared experiences and opinions influence their health knowledge and perceived treatment outcome. In this study, we apply social information processing theory and incorporate (1) uncertainty of a treatment, (2) information exposure, and (3) credibility of the information source into patients’ information evaluation function to assess how patients utilize shared health information and experiences. An empirical model, which combines various aspects of patients’ firsthand experiences about treatments into a single construct, yields empirical evidence that patients’ perceived treatment outcome is prone to social influence from other patients’ shared experiences. By disaggregating the sources of social influence, we find that social influence created by generalized others in the community outweighs that by familiar others of one's intimate social group. In addition, we find that other factors, such as positive sentiment in comments and patients’ prior experiences, also affect patients’ perceived treatment outcome. Based on our findings, implications for health promotion and health behaviors are presented.
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