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Although the health information seeking behavior of consumers through the internet has received great attention, limited attempt has been made to integrate both the health information seeking behavior and the usage behavior in a mobile online context. The purpose of this paper is to explore the factors that influence consumer mobile health information seeking (MHIS) and usage behavior based on information quality, perceived value, personal health value, and trust.

A survey was conducted to collect data. A two-step approach of structure equation modeling based was used to test the measurement model and hypothesis model.

Information quality, perceived value, and trust were found to have positive effects on both the intention to seek and to use health information, and that the intention to seek affects the intention to use. Among the three components of perceived value, the utilitarian and epistemic values were found to have significant effects on intention to seek. In addition, the current health status of health consumers moderates the relationships between MHIS and usage intention and their determinants.

Studies have primarily focussed on online health information seeking behavior, whereas a few of these studies have examined the seeking behavior intention and the usage behavior intention in a general model. The results indicate that health information usage behavior intention is closely related to the seeking behavior intention in the mobile context, which enriches the research on the relationship between information seeking and its outcomes. Furthermore, this study highlights the impact of information quality, perceived value, and trust on the intention to seek, and the impacts of information quality and trust on the intention to use, which have been overlooked in previous studies on MHIS.

Today, the Internet has become an attractive source for obtaining health information. Since women play an important role in maintaining the health of the family and community and since they are active seekers of health information through the Internet, it is essential to examine their online health information seeking behavior. Therefore, the main purpose of this article is to identify the factors affecting the online health information seeking intention and behavior of women.

The theoretical framework of this quantitative study was based on the theory of planned behavior. A total of five hypothesized relationships were formulated to develop a conceptual model. The study approach was quantitative. Using simple random sampling, 400 women referred to specialized and sub-specialized clinics of Hamadan University of Medical Sciences, Iran participated in the study and responded to the survey. Descriptive and inferential data analysis was performed using SPSS 21 and Smart PLS 3 software.

The results showed that the intention to find health information online is a function of psychological variables. These variables include attitude, subjective norms and perceived behavioral control. Findings showed that attitude is the most important factor affecting online health information seeking intention. It was also found that online health information seeking intention has a positive and significant effect on women's information seeking behavior.

This study is the first attempt to use an important and universally accepted theory to identify the factors affecting the online health information seeking behavior of women referring to specialized and sub-specialized clinics and provides important practical concepts for health officials and managers to improve and develop online health information seeking behavior.

This study aimed to examine the research hotspots and evolution paths in the field of health information behavior (HIB) in China and abroad, and conduct comparative analysis to better understand its development trajectory globally.

A keyword search of the relevant literature included in the China National Knowledge Infrastructure (CNKI) database and Web of Science (WoS) core collection database was conducted, using the visualized analysis tool CiteSpace V for bibliometric analyses.

The common research hotspots in China and abroad can be divided into related research on HIB, research on its influencing factors and health information research. Among these, health information-seeking behavior has been the focus of domestic and foreign scholars. From the subdivision perspective, the focus of Chinese and foreign research hotspots differs. In terms of evolutionary path, the initial stage of HIB research in China and abroad revolves around health information and health information-seeking behavior, followed by the influencing factors of HIB; however, the research breakthrough point is the reverse. Then, domestic and foreign research was conducted on different types of HIBs. Regarding the selection of research objects, Chinese and foreign research objects were increasingly diversified.

This study also has several limitations. First, the literature sample only selected the literature in the WoS and CNKI databases, and there may be many HIB-related works published in other databases. Therefore, future research should include other databases. Second, in terms of language, this study selected only Chinese and English literature, but in many countries, important research results on certain topics are usually published in native language, and future research should expand the language selection. Third, this study only conducted national and institutional collaboration network analysis, keyword co-occurrence analysis, cluster analysis and timeline chart analysis.

The implication of practice can be divided into the following three points. (1) Analyzing the domestic and foreign literature on HIB and identifying highly cooperative institutions and countries in the field of HIB can reveal the research situation of HIB and help researchers establish new research networks in the future. (2) Analyzing the research hotspots and evolutionary paths of HIB at home and abroad is helpful for quickly understanding the development context of this field and grasping the emerging research directions such as HIB of people in close contact with patients, health information exchange behavior, health information avoidance behavior and health information discontinuation behavior, which can help researchers to explore the future research direction in this field, so as to determine the topic and fill the research gap. (3) Combining the analysis of HIB-related research at home and abroad is helpful for professionals to understand the characteristics and rules of HIB of users, consumers and other groups to further optimize and improve health information services.

Comparing and summarizing the research status of HIB in China and globally, and presenting the findings visually, will help researchers better grasp the research overview and hotspot changes in this field, as well as provide a follow-up reference.

Drawing upon the communicative ecology theory (CET), this study aims to identify the potential precursors of social media health information seeking intentions (ISI) and examine their effects on health information re-sharing behaviors and PHH during coronavirus (COVID-19) pandemic.

The data is collected through an online survey conducted in two different universities situated in highly COVID-19-affected cities – Wuhan and Zhengzhou, China. The valid data consists of 230 useful responses from WeChat users and to analyze the final data set structural equation modeling (SEM) is used.

The results indicate that perceived health information credibility (PIC), trust on the medium (TRM) and peer influence (PI) significantly affect health ISI which further affects health information re-sharing behaviors (IRB) and personal health-care habits (PHH). Besides, the results also identify that PI has a direct, positive and significant effect on health IRB via social media during the COVID-19 pandemic.

This study investigates the health information intentional behavior precursors and their consequences via WeChat (taken as social media platform) during COVID-19 pandemic. Future studies may conduct research by examining online information behaviors on other social media platforms – Twitter, WhatsApp, Facebook, etc. – in health emergency situations.

The health information producers and providers have to deal with communicative ecology sentiments elegantly in emergency situations such as during the COVID-19 pandemic. They need to do collective efforts by introducing new tools or social apps which deal with valuable, reliable and accurate health content and information generated by the pandemic experts and health professionals. In such a way, the social apps and tools (Information providers) will act as mediators between the health professionals (Information producers) and general social media users (information seekers). Such initiatives will ultimately bring forth positive effect on individuals’ PHH as a whole within a network, community, environment or nations during a health emergency – COVID-19 pandemic.

This research is one of the first studies to examine the potential precursors of social media health ISIs and their resultant effects on individual’s health IRB and PHH during the COVID-19 pandemic. As currently it is noticed, an incredible upsurge of health information via social media has intense impacts on personal health-care research and practice, particularly during health emergency situations such as COVID-19 pandemic conditions.

The purpose of this paper is to consider the effect of demographic differences on the motivations and abilities of individuals with diabetes in their search for health information online. Using data gathered from a qualitative study of 30 individuals, the paper examined instances of user-based health motivation and abilities using the lens of demographic differences to identify the influence on health information searching and potential health outcomes.

The paper utilized an interpretive, mixed methodology research design. The paper was composed of a user “experience” that served as a critical incident to the paper, where each participant was prompted to do online searching for health and nutrition information. This was followed by open-ended interviews to gain a deeper understanding of each participants’ online searching experience.

The theoretical model used was the Integrated Model of E-Health Use by Dutta-Bergman (2006) which frames the influence of group and individual-level differences on health information search and e-health use and subsequently health outcomes. The paper found that experiences among diabetic patients who have an assumed intrinsic motivation to search have differential searching behaviors due to a number of factors including access to health care provider or resources, searching success, and significant people in the individuals’ lives. Assumptions about race and socio-economic status are challenged because of the geographic location in which people live and work.

This research on intersectionality and the health information consumer contributes to a better understanding of health information searching behavior. Implications from this research for practice are that search technology in the domain of health should be made customizable, that a variety of user perspectives should be incorporated in the e-health systems development process, and that a comprehensive view of the user in system development should be utilized. In addition, those with diabetes or other chronic illnesses should seek out a variety of resources to enhance their health outcomes.

The examination constitutes one of the few investigations into health information consumer characteristics that might influence the person-technology-information interaction in the context of health care provision. This type of examination into health care consumer characteristics and information behavior is necessary because it has bearing on the success of health care information systems implementation and impact.

This study aims to understand how college students' personal and health-related characteristics are related to their reading behaviors and cognitive outcomes of Facebook health information through eye tracking data and cognitive outcomes.

This study analyzed users' gaze movement data and results of recall and recognition tests to investigate users' reading patterns and their consequences with cognitive outcomes. The gaze movements are analyzed with eye tracking data including the average fixation count and time to first fixation.

The results of reading patterns show that Texts and Images are highly viewed and viewed immediately by participants when the posts were presented. There was no clear pattern with fixation counts to determine cognitive outcomes. However, the findings of study suggest that there is a clear pattern of reading Facebook posts with areas of interest (AOIs). Among five AOIs observed, participants viewed Images first and then Texts when a Facebook post is presented. On the other hand, they read Texts more carefully than Images. The findings of this study suggest that while images contribute to gaining users' attention, a clear and precise message needs to be delivered in text message to ensure readers' correct understanding and application of health information.

The user-centered evidence on reading behaviors and cognitive outcomes will make contributions to how health professionals and health organizations can make optimal use of Facebook for effective health information communication.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2020-0177

The United States of America is in the midst of an opioid crisis. However, little has been written within the domain of LIS (Library and Information Science) about the health information needs and behaviors of people who inject drugs. The purpose of this project is to conduct a scoping review of the current knowledge disseminated by LIS scholars and professionals regarding what information people who inject drugs have access to, need, how they interact with information and what dissemination methods may be most beneficial.

A scoping review of the literature was conducted with the additional inclusion criteria that the information needs be expressed from the insider perspective of this population instead of from the researcher.

In searching over a dozen databases, only seven articles were found that reflected the information behaviors of people who use drugs from the perspective of themselves. Only one article was from information science, two were from health informatics and one was from health communication, a closely linked field. These findings describe the information behaviors and needs of this population and speak to the need for more comprehensive research in this area in order to create targeted health information resources for this sensitive population.

There is little research in the domain of information science that has been conducted into the health information-seeking behaviors of people who inject drugs. Most of the work in this area is from the perspective of the researcher, not the person who injects drugs. This exploration into the literature on the information behavior of people that inject drugs from the perspective of themselves is unique.

1. There is very little research that has been conducted into the health information-seeking behaviors of people who inject drugs.

2. Most of the work in this area is from the perspective of the researcher, not the person who injects drugs.

3. Only four such articles were found in the domain of LIS and seven, in total, between all academic domains.

There is very little research that has been conducted into the health information-seeking behaviors of people who inject drugs.

Most of the work in this area is from the perspective of the researcher, not the person who injects drugs.

Only four such articles were found in the domain of LIS and seven, in total, between all academic domains.

To date, health information behaviour (HIB) models have not been applied to an exploration of Wikipedia as a consumer health information resource. Wikipedia has been situated and is well established as a valuable resource for the general layperson wishing to learn more about their health or the health of a loved one. This paper aims to identify an approach to exploring the role of Wikipedia in consumer health information behaviour (CHIB) that is grounded in a conceptual framework from the library and information science (LIS) discipline.

The author draws on current HIB models and relevant theories from existing LIS literature and applies them to propose a new definition of CHIB. The author uses this definition to frame Wikipedia as an unexplored consumer health information resource in the LIS scholarship and suggests future directions for placing such investigations within a conceptual framework from LIS.

The paper finds that Longo's expanded conceptual model of health information-seeking behaviour (ECMHISB) could be valuable and useful for the exploration of CHIB in relation to Wikipedia's health and medical content. Due to Wikipedia's online nature, research framed by these models must acknowledge and take under consideration the digital divide phenomenon and various factors that influence an individual's place within it.

This work builds a foundation upon which future research into the role of Wikipedia's health and medical content in CHIB can be grounded. Using Longo's model, future research might provide insight into who Wikipedia is helping and who it has left behind. LIS scholars, practicing health librarians and perhaps health workers stand to gain a deeper understanding of the potential influence of Wikipedia's health information on its consumers.

For LIS scholars, this paper is novel in the fact that a HIB model has not yet been applied to the study of Wikipedia's health content. This paper provides a foundation for this research.

Lesbian, gay, bisexual, transgender and queer/questioning (LGBTQ+) individuals' health information seeking is an important topic across multiple disciplines and areas. The aim of this systematic review is to create a holistic view of sexual and gender minority individuals' health information seeking reported in multidisciplinary studies, with regard to the types of health information LGBTQ+ individuals sought and information sources they used, as well as the factors influencing their health information seeking behavior.

The review is based on the literature search in 10 major academic databases. A set of inclusion and exclusion criteria was applied to identify studies that provide evidence on LGBTQ+ individuals' health information seeking behavior. The studies were first screened by title and abstract to determine whether they met the inclusion criteria. The full texts of each relevant study were obtained to confirm whether the exclusion criteria were met. The reference lists of the included studies were manually scanned. The relevant information was then extracted from selected articles and analyzed using thematic content analysis.

A seed set of 3,122 articles published between 1997 and 2020 was evaluated, and 46 total articles were considered for further analysis. The review results show that two major categories of health information sought by LGBTQ+ individuals were sexual and nonsexual, which were further classified into 17 specific types. In terms of health information sources, researchers have reported that online resources, interpersonal sources and traditional media were frequently used. Moreover, 25 factors affecting LGBTQ+ individuals' health information seeking were identified from the literature.

Through evidence-based understanding, this review preliminarily bridged the knowledge gap in understanding the status quo of studies on LGBTQ+ individuals' health information seeking and proposed the potential research directions that information science researchers could contribute to this important area.

This paper aims to identify consumers' health information consultation patterns by analyzing information sources to better understand consumers' health information needs and behavior in the context of multisource health information.

Haodaifu Online, an online health consultation (OHC) website in China, was used as a research data source, and 20,000 consultation cases were collected from the website with Python. After screening and cleaning, 1,601 consultation cases were included in this study. A content analysis-based mixed-methods research approach was applied to analyze these cases.

The results indicate that with the participation of OHC, there are 15 patterns of consumer health information consultation. Besides OHC, health information sources reported by consumers included medical institutions family/friends and the Internet. Consumers consult on a wide range of health issues including surgical conditions obstetrical and gynecological conditions and other 20 subjects. Consumers have multiple information needs when using OHC: getting prescriptions, diagnosing diseases, making appointments, understanding illnesses, confirming diagnoses and reviewing costs. Through further analysis it was found that consumers’ health information consultation patterns were also significantly different in health issues and health information needs.

This study broadens one’s understanding of consumer health information behavior, which contributes to the field of health information behavior, and also provides insight for OHC stakeholders to improve their services.