How COVID-19 Affects the Willingness of the Elderly to Continue to Use the Online Health Community: A Longitudinal Survey

In response to the COVID-19 outbreak, the governments of different countries adopted restrictions, such as locking down cities and restricting travel and social contact. Online health communities (OHCs) with specialized physicians have become an important way for the elderly to access health information and social support, which has expanded their use since the outbreak. This paper examines the factors influencing elderly people's behavior in terms of the continuous use of OHCs from a social support perspective to understand the impact of public health emergencies. Research collected data from March to April 2019, February 2020, and August 2021 in China. A total of 189 samples were collected and analyzed by using SmartPLS. The results show that (1) social support to the elderly during different stages has different influences on their sense of community and (2) the influence of the sense of community on the intention to continuously use OHCs also seems to change over time. The results of this study provide important implications for research and practice related to both OHCs and COVID-19. © 2022 IGI Global. All rights reserved.

African American Women's Willingness to Participate in Online Health Communities During COVID-19.

Introduction: The use of online health communities (OHCs) for health information, disease self-management, and social support increased during the COVID-19 pandemic. However, there are limited data on the willingness of African American women (AAW) to participate in OHCs. Materials and Methods: A sample of 985 AAW completed an online survey. Multinomial logistic regression examined associations between three age groups (18-29, 30-50, and 51+ years) and 10 motivators and 10 barriers to participating in OHCs. Women 51+ years were the referent group. Results: Women 51+ years were more likely to have been diagnosed with obesity and hypertension than the other groups (p < 0.01), but less likely to be diagnosed with a mental health condition than the other groups (p < 0.01). The top 2 motivators were to learn about a disease/condition (70%) and to prevent a disease/condition (64%). There were no significant differences with these variables. However, compared with women 18-29 years of age, women 51+ years were more likely to be motivated to manage an illness (p < 0.001), and more likely than the other groups to be motivated to support others (p = 0.011). The top 2 barriers were being too busy (53%) and privacy concerns (45%). Compared with women in the two other groups, women 51+ years were more concerned about privacy (p < 0.001). Discussion: AAW expressed a willingness to participate in OHCs. Willingness to participate in OHCs will vary by the topic and disease/condition and the age group. Conclusions: Opportunities exist to recruit AAW in age-specific OHCs.

Exploring help-seeking behavior in online health communities among women with domestic violence experiences

Background: Domestic violence (DV) is one of the most pressing women's health concerns globally. Previous literature shows that women tend to seek help from informal sources (i.e., close friends and family) rather than formal sources (i.e., legal and police). Owing to the increased time spent at home and worsened social isolation during the COVID-19 pandemic, more women experiencing DV visited online health communities (OHCs) to seek help due to their anonymity and timely responses. However, OHCs may circulate unverified risky, and unhealthy information to users. Despite the surge of literature examining information discussed in the DV population, it is still unclear what types of help women sought and received the most from OHCs. Without such knowledge, we cannot evaluate the usefulness of OHCs for women who would like to seek help in OHCs after a traumatic DV experience.Purpose: The aims of this study were to 1) describe the types of help sought by the women with DV experiences in OHCs, 2) describe the type and pattern (i.e., communication style) of the advice given in the OHC to women with DV experiences and 3) explore whether the needs of women with DV experiences were matched with the help they received in OHCs. Methods: This is an exploratory, descriptive study to explore help-seeking behaviors by women experiencing DV on the subreddit community r/domesticviolence from November 14, 2020, through November 14, 2021. For our analysis, we included posts by adult women (i.e., aged 18 or above) experiencing DV who seek advice on DV relationships or dealing with DV-related issues. We excluded posts from non-abused women, women victims under 18, non-English posts, good news announcements, gratitude posts without any advice-seeking, and posts related to advertisements. Two nursing students used the codebook developed and verified by a domain expert. Aims 1 & 2 used manual annotation and thematic analysis and Aim 3 used computation text mining tool (i.e., Linguistic Inquiry Word Count) and non-parametric statistical analysis (i.e., t-test or Mann-Whitney U). Results: Among 1,996 postings crawled, 250 postings were included after screening for women with DV experience. 68.8% sought information support, and 36% sought emotional support. DV (n = 43, 25%) and legal (n = 21, 12.2%) knowledge were the most frequent types of information help being sought. Based on initial postings, five themes emerged. 97.2% of the postings received information support, while 87.6% received emotional support. DV knowledge (n=414, 26.4%), DV shelter (n=242, 15.4%), and legal knowledge (n=190, 12.1%) were the most frequent types of information help received in OHC, while 68.6 % of postings received encouragement as emotional support. 29.6% offered networking help, and 78% offered experience sharing. Based on the comments, seven themes emerged. 80% of postings matched with the type of help requested, while 17 linguistic or postings features were found to be significantly different between the two groups (i.e., matched help and unmatched help). Conclusions: OHC is a resourceful platform for help-seeking among women with DV experience. This study can guide the development of future algorithms to detect help-seeking behavior within OHCs effectively. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Online Health Communities: an alternative feasible data registry tool for developing countries.

Given the many challenges facing healthcare access in many developing countries and the added limitations observed in emergencies like COVID-19 pandemic, the authors here discuss an alternative and feasible approach to overcome all these limitations.

Patient's behavior of selection physician in online health communities: Based on an Elaboration likelihood model.

Background: With the rapid development of "Internet + medicine" and the impact of the COVID-19 epidemic, online health communities have become an important way for patients to seek medical treatment. However, the mistrust between physicians and patients in online health communities has long existed and continues to impact the decision-making behavior of patients. The purpose of this article is to explore the influencing factors of patient decision-making in online health communities by identifying the relationship between physicians' online information and patients' selection behavior. Methods: In this study, we selected China's Good Doctor (www.haodf.com) as the source of data, scrapped 10,446 physician data from December 2020 to June 2021 to construct a logit model of online patients' selection behavior, and used regression analysis to test the hypotheses. Results: The number of types of services, number of scientific articles, and avatar in physicians' personal information all has a positive effect on patients' selection behavior, while the title and personal introduction hurt patients' selection behavior. Online word-of-mouth positively affected patients' selection behavior and disease risk had a moderating effect. Conclusion: Focusing on physician-presented information, this article organically combines the Elaboration likelihood model with trust source theory and online word-of-mouth from the perspective of the trusted party-physician, providing new ideas for the study of factors influencing patients' selection behavior in online health communities. The findings provide useful insights for patients, physicians, and community managers about the relationship between physician information and patients' selection behavior.

Understanding Online and Offline Social Networks in Illness Management of Older Patients With Asthma and Chronic Obstructive Pulmonary Disease: Mixed Methods Study Using Quantitative Social Network Assessment and Qualitative Analysis.

BACKGROUND: Individuals' social networks and social support are fundamental determinants of self-management and self-efficacy. In chronic respiratory conditions, social support can be promoted and optimized to facilitate the self-management of breathlessness. OBJECTIVE: This study aimed to identify how online and offline social networks play a role in the health management of older patients with chronic respiratory conditions, explore the role of support from online peers in patients' self-management, and understand the barriers to and potential benefits of digital social interventions. METHODS: We recruited participants from a hospital-run singing group to a workshop in London, the United Kingdom, and adapted PERSNET, a quantitative social network assessment tool. The second workshop was replaced by telephone interviews because of the COVID-19 lockdown. The transcripts were analyzed using thematic analysis. RESULTS: A total of 7 participants (2/7, 29%, men and 5/7, 71%, women), with an age range of 64 to 81 years, produced network maps that comprised between 5 and 10 individuals, including family members, health care professionals, colleagues, activity groups, offline and online friends, and peers. The visual maps facilitated reflections and enhanced participants' understanding of the role of offline and online social networks in the management of chronic respiratory conditions. It also highlighted the work undertaken by the networks themselves in the self-management support. Participants with small, close-knit networks received physical, health, and emotional support, whereas those with more diverse and large networks benefited from accessing alternative and complementary sources of information. Participants in the latter type of network tended to communicate more openly and comfortably about their illness, shared the impact of their illness on their day-to-day life, and demonstrated distinct traits in terms of identity and perception of chronic disease. Participants described the potential benefits of expanding their networks to include online peers as sources of novel information, motivation, and access to supportive environments. Lack of technological skills, fear of being scammed, or preference for keeping illness-related problems for themselves and immediate family were reported by some as barriers to engaging with online peer support. CONCLUSIONS: In this small-scale study, the social network assessment tool proved feasible and acceptable. These data show the value of using a social network tool as a research tool that can help assess and understand network structure and engagement in the self-management support and could be developed into an intervention to support self-management. Patients' preferences to share illness experiences with their online peers, as well as the contexts in which this can be acceptable, should be considered when developing and offering digital social interventions. Future studies can explore the evolution of the social networks of older people with chronic illnesses to understand whether their willingness to engage with online peers can change over time.

The Impact of Health Information Privacy Concerns on Engagement and Payment Behaviors in Online Health Communities.

Online health communities (OHCs) have enjoyed increasing popularity in recent years, especially in the context of the COVID-19 pandemic. However, several concerns have been raised regarding the privacy of users' personal information in OHCs. Considering that OHCs are a type of data-sharing or data-driven platform, it is crucial to determine whether users' health information privacy concerns influence their behaviors in OHCs. Thus, by conducting a survey, this study explores the impact of users' health information privacy concerns on their engagement and payment behavior (Paid) in OHCs. The empirical results show that users' concerns about health information privacy reduce their Paid in OHCs by negatively influencing their OHC engagement. Further analysis reveals that if users have higher benefit appraisals (i.e., perceived informational and emotional support from OHCs) and lower threat appraisals (i.e., perceived severity and vulnerability of information disclosure from OHCs), the negative effect of health information privacy concerns on users' OHC engagement will decrease.

Exploring Online Peer Support Groups for Adults Experiencing Long COVID in the United Kingdom: Qualitative Interview Study.

BACKGROUND: Long COVID is an emerging public health concern. A growing number of individuals are experiencing prolonged, multifaceted health challenges and accompanying social impacts after COVID-19 infections. Support services in the United Kingdom remain insufficient and fraught with complexity. Responding to persistent gaps in care, patients joined forces in online peer support groups. However, little is known about how these groups impact patients with long COVID and their lived experiences of the condition. OBJECTIVE: The aim of this study is to explore the roles that online peer support groups take on and the impact they have on patients experiencing and recovering from long COVID in the United Kingdom. In doing so, this study aims to identify ways to inform future long COVID care, including online peer support and broader long COVID care structures. METHODS: I conducted 11 semistructured interviews virtually on Zoom in July 2021. Participants had long COVID, were UK-based, and used long COVID online peer support groups. Topics discussed in interviews included what led participants to these groups, experiences within them, and feelings about the roles that the groups took on. I analyzed the results by manually conducting thematic analysis. RESULTS: Long COVID online peer support groups had numerous roles, significantly impacting users. I identified 5 themes and 13 subthemes through thematic analysis. The identified themes were as follows: (1) filling professional care gaps, (2) societal awareness, (3) engagement behavior, (4) diversity, and (5) social connections. Given the void of professional support, those experiencing long COVID gained some benefit from these groups. However, participants emphasized notable concerns about the all-encompassing roles these groups embody and speculated over potential improvements. CONCLUSIONS: If used appropriately, online peer support groups could be immensely beneficial for patient well-being, beyond simply filling gaps in long COVID care. However, it appears many groups take on more than they can manage and become potentially harmful. Through prioritizing patient voices, long COVID care could be restructured to maximize peer support's benefits within broader care structures.

Support-Seeking Strategies and Social Support Provided in Chinese Online Health Communities Related to COVID-19.

Online health communities have become one of the most important means for people to seek social support during the coronavirus 2019 disease (COVID-19) pandemic. This study details content analysis of support-seeking strategies and social support offered on the online forum "Baidu COVID-19bar" across different stages of initial stage as well as during the entire initial stage of the COVID-19 pandemic. The results show that asking for support and disclosing directly were the main strategies used across the different stages and during the entire initial stage. Informational support and emotional support were the most common types sought in the first two stages and the entire initial stage, and informational support was the main type during the decline stage. Furthermore, asking for support was more likely to elicit informational support while disclosing directly was more likely to elicit emotional support. Theoretical and practical implications of the findings are discussed.

The Exchange of Informational Support in Online Health Communities at the Onset of the COVID-19 Pandemic: Content Analysis.

BACKGROUND: Online health communities (OHCs) provide social support for ongoing health-related problems. COVID-19, the disease caused by SARS-CoV-2, has been an acute and substantial stressor worldwide. The disease and its impact, especially in the beginning phases, left many people with questions about the nature, treatment, and prevention of COVID-19. Unlike typical chronic ailments discussed on OHCs, which are more established, COVID-19, at least at the onset of the pandemic, is distinct in that it lacks a consensus of clinical diagnosis and an existing community foundation. OBJECTIVE: The study aims to investigate a newly formed OHC for COVID-19 to determine the topics and types of information exchange as well as the sources of information this community referenced during the early phases of the COVID-19 pandemic in the United States. METHODS: A total of 357 posts from a COVID-19 OHC on the MedHelp platform were annotated according to an open-coding process. Participants' engagement patterns, topics of posts, and sources of information were quantified. RESULTS: Participants who offered informational support had a significantly higher percentage of responding more than once than those seeking information (P<.001). Among the information-seeking topics, symptoms and public health practice and psychological impacts were the most frequently discussed, with 26% (17/65) and 15% (10/65) of posts, respectively. Most informational support was expressed through feedback/opinion (181/220, 82.3%). Additionally, the most frequently referenced source of information was news outlets/websites, at 55% (11/20). Governmental websites were referenced less frequently. CONCLUSIONS: The trends of this community could be useful in prioritizing public health responses to address the most common questions asked by the public during crisis communication and in identifying which venue of communication is most effective in reaching a public audience during such times.

Analyses of posts written in online eating disorder and depression/anxiety moderated communities: Emotional and informational communication before and during the COVID-19 outbreak.

INTRODUCTION: Moderated online health communities (OHCs) are digital platforms that provide a means for patients with similar medical conditions to communicate with each other under the supervision of healthcare professionals. AIMS: To examine the impact of the COVID-19 outbreak on content and type of posts published in two moderated OHCs - eating disorders and depression/anxiety - by comparing categorizations of posts written before vs. after the lockdown, and about vs. not about the pandemic. METHODS: Posts were retrieved from Camoni, the first Israeli medical social network (January-June 2017, March-May 2020). A total of 1475 posts were analyzed. Of them, 802 posts were written before and 680 were written during the first lockdown. Posts were divided into two main categories: informational and emotional, and into fourteen subcategories. RESULTS: Before the pandemic, the eating disorders OHC was characterized as primarily emotional (emotional: 66.7%, informational: 45.4%) and the depression/anxiety OHC as primarily informational (emotional: 49.8%, informational: 65.8%) (χ2 = 31.6, p < 0.001). During the lockdown, there was a transition in the eating disorders community, from primarily emotional to primarily informational communication (emotional: 46.1%, informational: 71.7%) (χ2 = 30.3, p < 0.001). In both OHCs, only about one in six posts written during the lockdown was related to the pandemic. There were only minimal differences in subcategorization of posts written before vs. after the outbreak (e.g., searching for medical information was more common during the pandemic: χ2 = 40.9, p < 0.001), as well as about vs. not about the pandemic (e.g., sharing negative emotions was more common when writing about the pandemic: χ2 = 4.1, p = 0.43). CONCLUSION: During the first lockdown, people with eating disorders have increased their use of OHCs as sources of informational (as opposed to emotional) support, but the overall impact of the pandemic on the content of posts written in the examined OHCs was minimal, suggesting that OHCs have not changed their function as a valuable means of providing emotional and informational support for people with mental difficulties.