探测从众健康信息转发行为的影响因素对引导用户理性信息行为和促进健康信息传播具有重要意义。文章以新浪微博平台为例，对访谈资料进行了三级编码分析。通过开放编码，提炼出73个初始概念和24个基本范畴。通过主轴编码，提炼出8个主范畴。通过选择编码，将从众健康信息转发行为确定为核心范畴，构建了从众健康信息转发行为影响因素理论模型。研究发现，社会影响、个人偏好、健康信息素养和感知价值对从众健康信息转发行为具有直接影响，平台质量、信息质量和信源可信度通过感知价值的中介作用对从众健康信息转发行为产生间接影响。最后，从信息发布平台、信息发布者和从众信息转发者层面讨论了相关策略。

Detecting influencing factors on herd forwarding behavior of health information is of great implications for guiding users' rational behavior and promoting the dissemination of health information. Taking Sina Weibo platform as a case, this paper conducted three levels of coding on interview data. In open coding, 73 initial concepts and 24 basic categories were elicited. In axial coding, 8 main categories were elicited. In selective coding, herd forwarding behavior of health information was identified as the core category, and the theoretical model of influencing factors for herd forwarding behavior of health information is developed. It is found that social influence, personal preference, health literacy and perceived value have direct impacts on herd forwarding behavior of health information, while platform quality, information quality and source credibility have indirect impacts on herd forwarding behavior of health information with perceived value as the mediating factor. Finally, relevant strategies in terms of information publishing platforms, information publishers and herd information forwarders are discussed.