Part of the coding book of content analysis.

To improve the information service quality of the online Traditional Chinese Medicine (TCM) community, this study investigated users’ information needs, feedback and the relationship between them. Using qualitative content analysis, the basic characteristics of users’ needs were obtained. Logistic regression was used to explore the impact of different need characteristics of feedback. The main findings are as follows: 1) Disease consultation, health preservation, professional discussion, knowledge sharing and experience description are the major 5 types of information needs in the online TCM community; 2) Some users provided TCM-related information, such as the tongue image and the TCM four diagnosis; 3) A total of 78.8% of the posts received effective feedback, and the main types of feedback were answering, discussing, inquiring and emotional supporting; 4) Providing enough information can significantly and positively affect whether needs receive effective feedback, suggesting that users can present information about their condition in as many different formats as possible when articulating their needs.

为提升在线中医药（Traditional Chinese Medicine, TCM）社区的信息服务质量，本研究针对用户的信息需求、反馈行为及其二者间的关联展开了调研。本研究采用质性内容分析法，明确了用户信息需求的基本特征；通过逻辑回归模型，探究了不同需求特征对反馈结果的影响。主要研究结论如下：1）在线中医药社区用户的主流信息需求共五大类型，分别为疾病咨询、养生保健、专业研讨、知识共享与经验描述；2）部分用户会发布与中医药相关的信息，例如舌象（tongue image）与中医四诊（TCM four diagnosis）；3）共计78.8%的帖子获得了有效反馈，反馈的主要类型包括解答、讨论、问询与情感支持；4）提供充足的信息可显著正向影响需求获得有效反馈的概率，这提示用户在阐述自身需求时，应尽可能以多种形式呈现其病情相关信息。