[Purpose/Significance] Based on the social background of population aging, studies on health literacy and health information behavior of the elderly have become an important issue as China enters an aging society and information society. This paper aims to explore the influencing factors of health information adoption behavior of elderly users on social platforms, so as to provide reference for social platform managers to screen health information and optimize health information service for the elderly. [Method/Process] This study followed an inductive qualitative approach. The case study methodology was adopted. To be specific, the WeChat platform was selected as one of the typical social platforms, and a semi-structured interview with 27 WeChat users was used for data collection. After collecting the qualitative interview data, the thematic analysis was carried out, which contains six steps, namely (1) becoming familiar with the data, (2) coding the data, (3) connecting codes and identifying themes, (4) reviewing themes, (5) developing concept maps, and (6) writing a report. Following the steps, all identified codes were distributed into 11 sub-themes and regrouped into 4 main themes. [Results/Conclusions] The results showed that factors of individual, informational, technical, and environmental are the key factors that affect the health information adoption behavior of elderly users when they are using WeChat platforms. Moreover, the influencing factor model of elderly users' health information adoption based on social platform was developed and the mechanism between various factors and adoption behavior is deeply discussed. Further analysis of the interview data indicated that living environment and technical support are external factors while information quality and individual characteristics are internal factors. In addition, in order to promote the development of social platforms and improve their health information service capabilities, this paper puts forward relevant suggestions from the two dimensions of social platform developers and users perspective. In particular, the social platform development team should fully identify elderly needs and habits of using the health information and the health information they need, which is helpful to providing elderly with comprehensive and targeted information services. The elderly needs to improve their health literacy and their ability to deal with health information, so as to adapt to the Internet era. Finally, due to the limited interviewee number, this paper only takes 27 elderly users and WeChat as an example. In the future work, more social platforms can be explored and horizontal comparative studies can be carried out.

[Purpose/Significance] With the gradual increase of the demand for health information of Chinese residents, public libraries, as an important information inquiry institution in China, incorporate health information services into their development plan, which is of great significance to improve the health information literacy of Chinese residents. Through literature research, this paper finds that most of the existing studies focus on the analysis of the current service situation and the optimization of the service mode, while there are few studies on the influencing factors of the health information service quality of public libraries. Therefore, by constructing the indicator system of the influencing factors of the health information service quality of public libraries, and applying the fuzzy DANP method to identify and analyze the influencing factors, this paper provides a method of evaluating health information service quality of public libraries. At the same time, by analyzing the context relationship between the key factors affecting the health information service quality of public libraries, it further puts forward targeted optimization strategies, which have certain theoretical and practical significance for effectively improving the comprehensive service quality of health information in public libraries. [Method/Process] By analyzing the context relationship among the three major factors of information ecology theory, i.e. people, information and information environment, this paper constructed an indicator system of the influencing factors from the four dimensions of health information providers, health information recipients, health information and health information environment, and extracted the influencing factors. Twenty-five health informatics experts were invited to score the relationship of the influencing factors, and then the fuzzy DANP method was introduced to quantitatively identify the influencing factors, sort and determine the weight of each factor, and finally put forward targeted health information service quality optimization strategies based on the calculation results and factor characteristics. Fuzzy DANP analysis method not only retains the advantages of DEMATEL analysis method, but also makes up for the situation that the factor weight in DEMATEL analysis method cannot be quantified, so that the research results have certain accuracy and adaptability. [Results/Conclusions] The research found that health information, health information providers, service capabilities and health information environment have a significant impact on the quality of health information service in public libraries, and the cognitive preferences of health information recipients are affeced by other factors. Therefore, public libraries should improve their service level and create an open space and subdivide user groups and provide accurate services. The quality of health information service in public libraries should be improved from three aspects: improving service environment and improving librarians' skills. At the same time, there are also some limitations in the study: first, the subjective interference of expert scoring and the potential error caused by the small number of samples. Second, the indicaotr system still needs to be improved. In the follow-up research, the indicator system will be further optimized and the number of samples will be increased to deeply analyze the factors affecting the quality of health information service in public libraries.

[Purpose/Significance] Emotional experience is a purely subjective feeling of the interaction between users and products. Exploring user participation behavior and influencing factors in online health communities under the influence of user emotional experience has obvious significance for retaining users. [Method/Process] A total of 25 users of the online health platform were selected as the research objects. The semi-structured interview method was used, and the basic information of the interviewees was combined with the questionnaire. With the help of grounded theory, the original interview data were coded, and the factors influencing user participation in online health communities were analyzed. Then, the emotional experience and feedback mechanism model of user participation in online health communities was constructed by combining the "emotion-cognitive recursive model". Finally, effective cases were screened from the questionnaire, and the configuration of the influencing factors of user participation behavior and affective feedback was explored based on the principle of qualitative comparative analysis and calculation of fuzzy sets. [Results/Conclusions] Through the grounded theory coding, six factors affecting user participation behavior are obtained: risk perception, platform cognition, demand motivation, platform experience, user emotion and environment. Then combined with the cognitive-affective model, the seven main categories derived from the rooted coding were divided into three dimensions: cognitive assessment, affective experience and participatory behavior. The feedback mechanism of emotional experience after participating behavior is further studied. It is found that the cognitive evaluation including risk perception, platform cognition and demand motivation affects the emotional experience of users, thus affecting their actual participation behavior. In the process of user participation in online health community, the factors of cognitive assessment, emotional experience and participation behavior interact with each other, and have a two-way effect on user participation behavior and user cognitive assessment. Further verification by fuzzy set qualitative comparative analysis (fsQCA) shows that among the six factors affecting user participation behavior, platform experience and demand motivation are the core conditions affecting user participation in online health community, and the three single factor variables of user emotion, environment and platform cognition do not necessarily affect the generation of user participation behavior. The extraction of influencing factors and the definition of user behavior are not comprehensive, and some real variables and key engagement behaviors may be overlooked. In addition, there is an imbalance in the number of samples on each platform. Follow-up related research can improve the pertinence of the platform and expand the sample capacity.

[Purpose/Significance] In China, the elderly population is huge, and the degree of aging is obviously accelerating. The gap between urban and rural areas is obvious, with the proportion of the elderly population in rural areas being higher than that in urban areas. Along with the accelerating aging process, the health problems faced by the elderly are becoming more and more prominent, and the demand for personal health information literacy will be increasing. Research on health information literacy and health promotion among the elderly, especially the rural elderly, will become an important topic. Therefore, it is important to understand the current situation of health information literacy among rural elderly and explore its influencing factors in order to establish ways and mechanisms to successfully promote health information literacy among rural elderly. [Method/Process] This paper used a mixed approach combining literature review and quantitative research. Firstly, we formulated a questionnaire and proposed a hypothesis on the influence of socio-demographic factors on health information literacy through a review of relevant studies and investigation tools at home and abroad. Then, based on the theoretical model of knowledge, attitudes and behavior and the connotation of health information literacy, we proposed some hypotheses on the interactions between the dimensions of health information literacy. Finally, in the quantitative study, a three-stage sampling was used to conduct a household questionnaire survey of elderly people aged 60 and above in rural areas, and a total of 1 222 valid questionnaires were obtained and the hypothesis testing was performed using regression analysis and path analysis. [Results/Conclusions] The score of health information literacy of rural elderly is lower, the score of health information consciousness dimension is the highest, and the score of health information seeking dimension is the lowest. Education level, time of using smart phones, time of using the Internet, nature of work and health status are the important influencing factors of health information literacy of rural elderly (P<0.05). The most trusted source of health information for rural elderly is medical workers, but they feel it difficult to evaluate and distrust online information. Therefore, strengthening the participation of medical staff in health information literacy education for the elderly and alleviating the conflicts in use of smart phones and the Internet by elderly should be done in order to achieve effective improvement of the health information literacy of the elderly in rural areas. In addition, there are some limitations in this study. The sample size is not large enough, as well as not exploring in depth the factors influencing health information literacy from other factors such as health information behaviors of rural older adults, which will be studied in the future.

[Purpose/Significance] The purpose of this study is to elaborate the extent, strategies, causes and their association of rural residents' health information avoidance in the context of lower risk diseases. [Method/Process] The empirical data were gathered by theoretical sampling and semi-structured interview conducted with 45 rural residents in Jiangsu province. The data were scrutinized by open coding and axial coding, and the association between avoidance strategies and causes were visualized by social network analysis software. [Results/Conclusions] The study finds the following: (1) The extent of rural residents' health information avoidance varied from the com prehensive type to the selective type. Comprehensive avoidance occurred at the stage of information need with abandoning treatment strategies, while selective avoidance occurred at the stage of information acquisition with treating by themselves or delayed treatment. (2) The causes of avoidance includes perceived risk, trust in the source of information, the level of health information literacy, literacy level, emotion, economic level, small world, time and the accessibility of medical resources. (3) There is a specific correlation between the causes of rural residents' health information avoidance and avoidance strategies. The literacy level and the accessibility of medical resources only affect the strategy of abandoning treatment. Emotional factor only has influence on delaying treatment. The level of health information literacy only affects the strategy of treating by themselves avoidance strategy. The study can provide abundances and suggestions for improving the health status of rural residents.

[Purpose/Significance] With the development of the digital age, many traditional medical institutions have created a series of patient-centered online user service projects, but their actual utilization, effect and influencing factors need to be further verified. [Method/Process] Taking 10 3A Grade hospitals in Hebei Province as an example, this study investigated the online information service channels, types and specific contents provided by hospitals, and explored the influencing factors of patients and their families with medical needs using hospital online services. [Results/Conclusions] The current online services in hospitals mainly through 4 main channels include the official channels, WeChat public numbers, WeChat applets, Alipay life code. A total of 17 main services are provided such as intelligent triage, online and offline consultation, personal online health management, payment management and epidemic response. Users' age, education level, perceived platform service utility, information utility, effort expectation, social impact, and perceived risk factors all have a multi-dimensional impact on users' use of hospital online services.

[Purpose/Significance] At present, the construction of China's smart elderly care system is in the early stage of development. Understanding the cognition and needs of the elderly for smart elderly care services is conducive to the further development and service optimization of smart elderly services. [Methods/Process] The convenience sampling method was adapted to survey 161 elderly people in the N community in Guangzhou, and the statistical software SPSS 22.0 was used for data statistics, and the results were descriptive statistical analysis and cross-analysis. [Results/Conclusions]Respondents have low awareness of smart elderly care (16.2%), but the overall demand is high (67.7%), especially the demand for basic services is strong, but they are sensitive to service prices and the proportion of respondents who are willing to pay higher fees is low (21.1%); Gender, age, education level and other factors have significant differences in the demand for some smart elderly care services. It is recommended to increase the in-depth integration of information technologies and old-age assistance, cultivate new forms of smart old-age care, improve infrastructure construction, and build a demand-oriented smart old-age care service system that integrates medical care, health, and recreation.

[Purpose/Significance] When rural residents read health information regarding chronic diseases, they often tend to develop cognitive conflicts or negative emotions, which leads to their avoidance behaviors towards health information regarding chronic diseases. The purpose of this study is to explore the influencing factors among rural residents in Jiangsu Province and the relationships among these factors. [Method/Process] Based on the stress coping theory and the planned risk information avoidance model, this study constructed a model of influencing factors of rural residents' avoidance behaviors towards health information on chronic diseases on the basis of the characteristics of rural residents. In this paper, 250 valid questionnaires were collected, and structural equation model method was used to test the theoretical model. [Results/Conclusions] It is found that social atmosphere, negative emotions and patients' cognition all have positive effects on rural residents' avoidance intention, which leads to the occurrence of health information avoidance behavior. At the same time, the influence of information access constraints on rural residents' avoidance behaviors towards health information on chronic diseases was verified. The research helps to enrich the theoretical system of health information avoidance behavior, and provide guidance and suggestions for government departments and medical service institutions to optimize health information services on how to deal with chronic diseases.