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The lockdown that was deployed in Wuhan, China to combat the COVID-19 pandemic curbed the infection but also created great information challenges for people in social isolation. This resulted in surge in online health information seeking (OHIS) behaviors of the patients and their families. While the Internet has been widely used by Chinese public to access and search health information, there is relatively little research in the context of pandemic outbreaks, especially at the onset of a strong lockdown while many people were panicking. From a total of 10 908 '#COVID-19 Patient Seeking Help' posts on Weibo in a period of 20 days when the lockdown policy was first initiated, we identified 1496 unique patients living in or with family in Wuhan, China. Using textual analysis, we explored OHIS behaviors at the onset of the pandemic. Many faced increased difficulties accessing offline healthcare services and such turned to social media for help and information. In particular, the findings highlight the following themes: ' OHIS for medical treatment ', ' OHIS to manage self-quarantine ', ' OHIS for tangible support ' and ' OHIS to navigate information discrepancy '. Overall, our findings provide important insights into health information seeking behaviors and the role of social media during a pandemic. Our findings also highlight the importance of considering people's information need and challenges created due to the lockdown policies in the future pandemic communication and preparedness. [ABSTRACT FROM AUTHOR]

Divorced and unwed single motherhood is heavily stigmatized in Chinese cultural context, preventing Chinese single mothers from actively seeking the information and support needed and negatively impacting their wellbeing. Drawing on the theory of motivated information management (TMIM), this study tested how perceived stigma and cultural norms influenced Chinese single mothers' search for information and social support from families, friends as well as from online communities. Using two-wave data collected from 226 single mothers, findings support the utility of the TMIM in explaining information management and support seeking behaviors and contribute to situating the TMIM process within larger socio-cultural contexts. Practical implications regarding how to facilitate more effective uncertainty management and enhance Chinese single mothers' wellbeing in interpersonal vs. online contexts are discussed. [ABSTRACT FROM AUTHOR]

This qualitative study examines women's experiences with risk information exchange during their pregnancy. Semi-structured interviews were conducted with 15 women (aged 25–38) from September 2018 to February 2019. A non-random purposive sample of women who had given birth in the past year was invited to participate in the study. Women were invited by reaching out to personal contacts as well as through sending out a bulk institutional email, posting on mothers' Facebook groups' pages, and by giving out flyers to OB/mid-wife offices. The women represent an educated sample, and nearly half of the participants reported experiencing complications. Thematic analysis was conducted, with researchers individually engaging in open coding, and then collectively engaging in selective coding across multiple analysis sessions. Thematic analysis showed that all the women had different information preferences. Women who had a prior history of pregnancy risk reported engaging in active information seeking. All of the women in this study felt that information was withheld from them, with the exception of information about C-sections, birth plans, and genetic testing. Some women also reported that information was withheld from them when complications occurred during the pregnancy. Lastly, the data illustrate a need for verifying underlying emotions during information exchange as noted by all women. Women in this study reported varying preferences for information exchange. The women reported unmet information needs. The women highlight the need for providers to attend to emotions during information exchange. [ABSTRACT FROM AUTHOR]

With a basis of the comprehensive model of information seeking, a survey study was conducted in India that investigated the relationships among three categories of factors (demographics, health belief, and technology enabler) and three types of Internet health information seeking (IHIS) behaviors (preference for IHIS, diversity of IHIS, and discussing Internet health information with doctors). The results showed that being female was positively associated with preference for IHIS, and being young was associated with greater diversity of IHIS. In addition, three health belief factors (perceived susceptibility, perceived severity, and self-efficacy) had positive and significant relationships with diversity of IHIS. Finally, two technology enabler factors (skill in IHIS and Internet access) were positively associated with three information behaviors. However, the other technology enabler, trust in online health information, was positively related to preference for IHIS, but negatively associated with diversity of IHIS and discussing Internet health information with doctors. [ABSTRACT FROM AUTHOR]

Human papillomavirus (HPV) vaccination uptake in Singapore is low among young women. Low uptake has been found to be linked to low awareness. Thus, this study aimed to understand active and passive vaccine information-seeking behavior. Furthermore, guided by the Elaboration Likelihood Model (ELM), this study examined young women’s (aged 21-26 years) processing of information they acquired in their decision to get vaccinated. ELM postulates that information processing could be through the central (i.e., logic-based) or peripheral (i.e., heuristic-based) route. Twenty-six in-depth interviews were conducted from January to March 2016. Data were analyzed using thematic analysis. Two meta-themes—information acquisition and vaccination decision—revealed the heuristic-based information processing was employed. These young women acquired information passively within their social network and actively in healthcare settings. However, they used heuristic cues, such as closeness and trust, to process the information. Similarly, vaccination decisions revealed that women relied on heuristic cues, such as sense of belonging and validation among peers and source credibility and likability in medical settings, in their decision to get vaccinated. The findings of this study highlight that intervention efforts should focus on strengthening social support among personal networks to increase the uptake of the vaccine. [ABSTRACT FROM AUTHOR]

This study extends the Comprehensive Model of Information Seeking (CMIS) to online health information seeking in the context of India. This study considers the Internet (i.e., media) use an antecedent factor and the personal relevance factor salience is separated into two dimensions - susceptibility and severity. Structural equation modeling analysis (N = 990) tested the associations between health-related antecedents, information-carrier factors, and their direct effects on online information seeking. The results among online health information seekers in India showed significant relationships between length and frequency of media use and self-efficacy to engage in preventive behavior to the information carrier utility. As predicted, demographics have no significant relationship with utility of the Internet, and direct experience with illness resulted in negative relationship with the Internet utility. Contrary to expectations, susceptibility and severity produced negative relationships with the Internet utility. Result shows that both information-carrier factors - characteristics related to trust and utility related to perceived usefulness and relevance of information - directly affect online health-information-seeking behavior. Unlike the original CMIS that primarily focused on specific illnesses, the current modified CMIS can be adapted and tailored to general online health-information-seeking behavior. [ABSTRACT FROM AUTHOR]

Information behavior includes activities of active information seeking, passive acquisition of information, and information use. Guided by the Elaboration Likelihood Model, this study explored elderly Singaporean women’s health information behavior to understand how they sought, evaluated, and used health information in everyday lives. Twenty-two in-depth interviews were conducted with elderly Chinese women aged 61 to 79. Qualitative analysis of the interview data yielded three meta-themes: information-seeking patterns, trustworthiness of health information, and peripheral route of decision making. Results revealed that elderly women took both systematic and heuristic approaches to processing information but relied on interpersonal networks to negotiate health choices. [ABSTRACT FROM AUTHOR]

Background: First detected in Wuhan, China in December 2019, the COVID-19 pandemic stretched the medical system in Wuhan and posed a challenge to the state's risk communication efforts. Timely access to quality health care information during outbreaks of infectious diseases can be effective to curtail the spread of disease and feelings of anxiety. Although existing studies have extended our knowledge about online health information-seeking behavior, processes, and motivations, rarely have the findings been applied to an outbreak. Moreover, there is relatively little recent research on how people in China are using the internet for seeking health information during a pandemic.Objective: The aim of this study is to explore how people in China are using the internet for seeking health information during a pandemic. Drawing on previous research of online health information seeking, this study asks the following research questions: how was the "#COVID-19 Patient Seeking Help" hashtag being used by patients in Wuhan seeking health information on Weibo at the peak of the outbreak? and what kinds of health information were patients in Wuhan seeking on Weibo at the peak of the outbreak?Methods: Using entity identification and textual analysis on 10,908 posts on Weibo, we identified 1496 patients with COVID-19 using "#COVID-19 Patient Seeking Help" and explored their online health information-seeking behavior.Results: The curve of the hashtag posting provided a dynamic picture of public attention to the COVID-19 pandemic. Many patients faced difficulties accessing offline health care services. In general, our findings confirmed that the internet is used by the Chinese public as an important source of health information. The lockdown policy was found to cut off the patients' social support network, preventing them from seeking help from family members. The ability to seek information and help online, especially for those with young children or older adult members during the pandemic. A high proportion of female users were seeking health information and help for their parents or for older adults at home. The most searched information included accessing medical treatment, managing self-quarantine, and offline to online support.Conclusions: Overall, the findings contribute to our understanding of health information-seeking behaviors during an outbreak and highlight the importance of paying attention to the information needs of vulnerable groups and the role social media may play. [ABSTRACT FROM AUTHOR]