Understanding consumer health information-seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites

Prediabetes Knowledge, Attitudes, Practices, and Risk Levels in the United Arab Emirates: A Cross-Sectional Study

Background and aims Prediabetes is a reversible state of mild hyperglycemia that significantly increases the risk of developing type 2 diabetes mellitus (T2DM). This study aimed to assess knowledge, attitudes, and practices (KAP), risk levels, and associated factors related to prediabetes among adults in the United Arab Emirates (UAE). Methods This cross-sectional study was conducted between February and March 2022 among adults (≥18 years) residing in the UAE, using non-probability convenience sampling. Data were collected through a self-administered online questionnaire using the Knowledge Attitude Practice - Prediabetes Assessment Questionnaire (KAP-PAQ) and the Saudi Diabetes Risk Score (SADRISC). Data analysis was performed using SPSS (IBM SPSS Statistics for Windows, IBM Corp., Version 28, Armonk, NY). Mann-Whitney U and Kruskal-Wallis tests were used for group comparisons, and Spearman correlation assessed associations. Participants with diabetes were excluded from the SADRISC-based risk analysis. Results A total of 414 participants completed the survey, 278 (67.1%) of whom were non-Emirati Arabs. Poor knowledge of prediabetes was observed in 269 (65%) of participants, and 348 (84.1%) reported poor to very poor practices. In contrast, 238 (57.5%) expressed positive to strongly positive attitudes. The SADRISC tool classified 105 (27.8%) non-diabetic participants as having a high risk for prediabetes or undiagnosed T2DM. Nearly half (203, 49.0%) were unaware that prediabetes progression to T2DM is preventable with intervention, and 244 (58.9%) had never checked their blood sugar levels. Higher knowledge levels were associated with better attitudes and practices. Conclusion This study reveals insufficient knowledge and poor health practices regarding prediabetes among UAE adults despite generally positive attitudes. A considerable proportion of participants were at high risk for prediabetes or undiagnosed T2DM. Nearly half were unaware that prediabetes progression is preventable. Despite national efforts, most had never checked their blood glucose levels. Targeted interventions, including more extensive awareness campaigns and screening programs, are crucial to improving knowledge, encouraging preventive behaviors, and enhancing early detection of prediabetes.

The impact of health information seeking and social influence on functional food purchase intention

The COVID-19 pandemic has given rise to unprecedented transformation of consumer behaviors. Despite the abundance of research on this subject, less is known about why and how consumers processed health information and subsequently decided to purchase food during the pandemic. This study employed a survey questionnaire to collect the data. The sample size consisted of 590 consumers in China. The data were analyzed via SPSS and SmartPLS version 3.2.9 to explore the relationships among variables. The results showed that health information-seeking behavior has a significant impact on healthy food product purchasing intention. Similarly, health-related internet use also has a positive impact on health information seeking. Moreover, the impact of motivation for healthy eating on health information seeking is significant. The results indicate a significant moderating role of social influence (i.e., interaction between health information seeking and healthy food product purchasing intention). Multigroup analysis revealed differences between income and age in terms of health-related internet use and purchasing intention. This study assessed healthy food product purchasing intention in a timely manner by incorporating health communication. variables and social influence into consumer behavior research in the context of COVID-19. It thus expands the extant literature and provides insights into the knowledge and practices concerned.

Role of online health communities in patient compliance: a social support perspective

Purpose

Online health communities (OHC) can transform the healthcare industry, particularly in developing economies. Technology advancement and increased health literacy pave the way for these communities to become powerful tools for empowering patients. The purpose of this study was to empirically validate the linkages between social support and how it overarchingly influences patient compliance. Following social support theory, this study delineates how support from the community affects the patient–physician relationship (PERP) and consequently patient compliance regarding the treatment plan. This study also invents the role of patient trust in an OHC in moderating the relationship between PERP and engagement.

Design/methodology/approach

This paper is based on social support and empowerment theories to investigate the importance of social support in improving patients’ health behaviours and health outcomes via patient empowerment, patient engagement and patient compliance. The authors surveyed users from three Facebook cancer communities in India to collect data. The authors used partial least squares structured equation modelling and necessary condition analysis (NCA) with 265 participants to support the proposed model.

Findings

The result demonstrates that PERP is a crucial factor for patient engagement in OHC, and patient engagement has a significant effect on patient compliance. The results also showed that trust was a significant moderator between PERP and engagement. The NCA analysis shows all the relationships are significant; however, emotional support is not a necessary condition for PERP.

Research limitations/implications

By empowering cancer patients and enabling them to meet their emotional and informational needs through OHCs, the study model can aid in the development of solutions that will improve compliance with their treatment in an emerging economic context. The findings indicate the potential chain reaction of social support and PERP in online cancer health communities. This study also contributes to quantifying the social impacts of online healthcare services and how to enhance the healthcare compliance framework.

Originality/value

This study combines social support and empowerment theory with patient, physician, and technology to provide a fine-grained picture of PERP in OHC. It explains how social support in OHC promotes self-care behaviour. This linkage validation enables readers and the community at large to gain a more nuanced understanding of how social support – through PERP, engagement and trust – enables patient compliance using primary data.

Analysis of willingness to use health management APP for female college students: application of UTAUT model based on Fogg theory

Introduction

As the development process of medical industry informatization has entered the stage of smart healthcare, health management applications (apps) have played an important role in improving people's health and preventing diseases, especially among female college students.

Methods

This study combines the UTAUT model and the Fogg behavioral model (FBM) as a theoretical framework to investigate the factors affecting female college students' willingness to use health management apps. A survey was conducted with 624 female college students regarding their usage of AI health management mobile applications.

Results

The analysis reveals that social influence (β = 0.497, p < 0.001), performance expectancy (β = 0.268, p < 0.001), effort expectancy (β = 0.359, p < 0.001), and facilitating conditions (β = 0.603, p < 0.001) positively predict attitude; social influence (β = 0.36, p < 0.001) and effort expectancy (β = 0.183, p < 0.001) positively predict perceived risk, while facilitating conditions negatively predict perceived risk (β = -0.108, p < 0.01). Additionally, performance expectancy (β = 0.231, p < 0.001), effort expectancy (β = 0.285, p < 0.001), facilitating conditions (β = 0.25, p < 0.01), and attitude (β = 0.291, p < 0.05) positively predict an individual's intention to use such applications, which in turn affects actual behavior (β = 0.804, p < 0.001).

Discussion

This study develops a comprehensive theoretical framework to explore the psychological and social factors influencing female college students' utilization of health management applications. The findings underscore the significant roles of social influence, performance expectancy, effort expectancy, and facilitating conditions in shaping user attitudes and intentions. These insights offer valuable guidance for formulating effective interventions to enhance the adoption of these applications.

Health Information Repertoires of Implant Patients: Toward a Deeper Understanding of Multiple Source Use and the Role of Health-Related Motives

Health information-seeking behavior can be understood as an active and purposeful acquisition of information from selected information sources. It supports patients to cope with medical and health-related uncertainties and enables them to engage in informed decision-making. To obtain health information, patients can turn to a variety of sources, such as going to a physician, exchanging information with their family, or using different Internet sources. Research showed that patients typically use multiple sources to meet their health-related information needs. To attain a holistic and differentiated picture of patients' actual health information behavior, the current study draws on the repertoire approach. We conducted an online survey with 1,105 implant patients and performed a cluster analysis to explore their health information repertoires. To gain a deeper understanding of the practical meaning behind the repertoires, we also considered health-related information motives and socio-structural factors, as well as the implant type (dental, orthopedic, cochlear), to characterize the repertoires. The study revealed seven different health information repertoires of implant patients, varying in their combination of multiple sources used. In addition, group comparisons showed that the repertoires differ significantly regarding socio-structural factors, such as gender, age, and education, as well as implant type. Furthermore, information motives contribute significantly to the differentiation of the repertoires. The results are of high theoretical potential for communication science as well as practical use for strategic health communication.

Factors influencing user's health information discernment abilities in online health communities: based on SEM and fsQCA

Introduction

Online health communities have become the main source for people to obtain health information. However, the existence of poor-quality health information, misinformation, and rumors in online health communities increases the challenges in governing information quality. It not only affects users' health decisions but also undermines social stability. It is of great significance to explore the factors that affect users' ability to discern information in online health communities.

Methods

This study integrated the Stimulus-Organism-Response Theory, Information Ecology Theory and the Mindsponge Theory to constructed a model of factors influencing users' health information discernment abilities in online health communities. A questionnaire was designed based on the variables in the model, and data was collected. Utilizing Structural Equation Modeling (SEM) in conjunction with fuzzy-set Qualitative Comparative Analysis (fsQCA), the study analyzed the complex causal relationships among stimulus factors, user perception, and the health information discernment abilities.

Results

The results revealed that the dimensions of information, information environment, information technology, and information people all positively influenced health information discernment abilities. Four distinct configurations were identified as triggers for users' health information discernment abilities. The core conditions included information source, informational support, technological security, technological facilitation, and perceived risk. It was also observed that information quality and emotional support can act as substitutes for one another, as can informational support and emotional support.

Discussion

This study provides a new perspective to study the influencing factors of health information discernment abilities of online health community users. It can provide experiences and references for online health community information services, information resource construction and the development of users' health information discernment abilities.

Exploring the factors driving higher interactions in false amber necklace posts on Facebook

The consumption and sharing of information on social media contribute to the circulation of false health content. In this sense, popular belief-driven posts recommending the use of amber necklaces to prevent symptoms of teething can be easily found on social media, even when they offer health risks for children. Accordingly, this study aimed to characterize posts in Portuguese by identifying message-based factors associated with higher user interactions of Facebook. A total of 500 Facebook posts published in Portuguese between August 2016 and August 2021 were retrieved by CrowdTangle, and analyzed quantitatively according to time of publication, total user interaction, and post overperforming score, and then qualitatively by two independent investigators, according to motivation, authors' profiles, and sentiment. The data were evaluated by descriptive analysis, Mann-Whitney U test, chi-square test, and multiple logistic regression models regarding interaction metrics. The posts were published predominantly by commercial profiles, with social, psychological, and financial motivations, and expressed positive sentiment. Furthermore, time of publication (OR=2.65), regular user profiles (OR=3.30), and neutral/negative sentiment (OR=2.76) were associated positively with total interactions, whereas only time of publication was associated with post overperforming scores (OR=1.65). In conclusion, Facebook posts promoting efficacy of amber necklaces in managing teething symptoms are primarily created by commercial profiles with vested interests in marketing the product. The key factors that contribute to the success of posts containing false information about amber necklaces on Facebook can be identified by considering the author's profile, sentiment, and time of publication.

The spread of fake news: Disclosure willingness role

The epidemic has had a profound negative impact on individuals worldwide, leading to pervasive anxiety, fear, and mental instability. Exploiting these fears, a significant amount of fake information proliferates and spreads rapidly on social networks. This study explores the factors that cause individuals to believe fake news under stressful and fearful conditions by applying the truth-default theory. Data was collected online in Vietnam, using Smart PLS software to analyze the research model. The findings indicated that risk perception, media trust, trust in celebrity posts, and stress were factors that urge users to believe news posted on social media, and even they actively share this news on their own channels. Disclosure willingness moderated the relationship between adoption fake news and sharing it. Both theoretical and practical implications were discussed.

A Serious Game ("Fight With Virus") for Preventing COVID-19 Health Rumors: Development and Experimental Study

BACKGROUND

Health rumors arbitrarily spread in mainstream social media on the internet. Health rumors emerged in China during the outbreak of COVID-19 in early 2020. Many midelders/elders (age over 40 years) who lived in Wuhan believed these rumors.

OBJECTIVE

This study focused on designing a serious game as an experimental program to prevent and control health rumors. The focus of the study was explicitly on the context of the social networking service for midelders/elders.

METHODS

This research involved 2 major parts: adopting the Transmission Control Protocol model for games and then, based on the model, designing a game named "Fight With Virus" as an experimental platform and developing a cognitive questionnaire with a 5-point Likert scale. The relevant variables for this experimental study were defined, and 10 hypotheses were proposed and tested with an empirical study. In total, 200 participants were selected for the experiments. By collecting relevant data in the experiments, we conducted statistical observations and comparative analysis to test whether the experimental hypotheses could be proved.

RESULTS

We noted that compared to traditional media, serious games are more capable of inspiring interest in research participants toward their understanding of the knowledge and learning of health commonsense. In judging and recognizing the COVID-19 health rumor, the test group that used game education had a stronger ability regarding identification of the rumor and a higher accuracy rate of identification. Results showed that the more educated midelders/elders are, the more effective they are at using serious games.

CONCLUSIONS

Compared to traditional media, serious games can effectively improve midelders'/elders' cognitive abilities while they face a health rumor. The gameplay effect is related to the individual's age and educational background, while income and gender have no impact.

Telehealth uptake among middle-aged and older Americans during COVID-19: chronic conditions, social media communication, and race/ethnicity

OBJECTIVES

This study investigated whether and to what extent constructs of the protection motivation theory of health (PMT)-threat appraisal (perceived vulnerability/severity) and coping appraisal (response efficacy and self-efficacy)-are related to telehealth engagement during the COVID-19 pandemic, and how these associations differ by race/ethnicity among middle-aged and older Americans.

METHODS

Data were from the 2020 Health and Retirement Study. Multivariable ordinary least-squares regression analyses were computed adjusting for health and sociodemographic factors.

RESULTS

Some PMT constructs are useful in understanding telehealth uptake. Perceived vulnerability/severity, particularly comorbidity (b = 0.13, 95% confidence interval (CI) [0.11, 0.15], p < 0.001), and response efficacy, particularly participation in communication via social media (b = 0.24, 95% CI [0.21, 0.27], p < 0.001), were significantly and positively associated with higher telehealth uptake during the COVID-19 pandemic among middle-aged and older Americans. Non-Hispanic Black adults were more likely to engage in telehealth during the pandemic than their non-Hispanic White counterparts (b = 0.20, 95% CI [0.12, 0.28], p < 0.001). Multiple moderation analyses revealed the significant association between comorbidity and telehealth uptake was similar across racial/ethnic groups, whereas the significant association between social media communication and telehealth uptake varied by race/ethnicity. Specifically, the association was significantly less pronounced for Hispanic adults (b = -0.11, 95% CI [-0.19, -0.04], p < 0.01) and non-Hispanic Asian/other races adults (b = -0.13, 95% CI [-0.26, -0.01], p < 0.05) than it was for their non-Hispanic White counterparts.

CONCLUSION

Results suggest the potential of using social media and telehealth to narrow health disparities, particularly serving as a bridge for members of underserved communities to telehealth uptake.

Factors influencing telemedicine adoption among physicians in the Malaysian healthcare system: A revisit

Background

The Malaysian healthcare system is under strain due to an aging population, the rising prevalence of chronic diseases, and heavy workloads among physicians. As costs and requirements continue to rise, telemedicine is critical for bridging gaps in supply and demand. However, there are limited studies on telemedicine adoption among Malaysian physicians. Furthermore, the existing literature on telemedicine adoption does not contain a comprehensive framework that integrates the multidimensional social influence, and technological, clinical, and individual factors.

Objective

This research investigates the adoption of telemedicine among Malaysian physicians. It draws from the Technology Acceptance Model (TAM) and Kelman's Social Influence Theory.

Methods

A survey was conducted among 230 participants in hospitals located in Kuala Lumpur and Selangor. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).

Results

The study identified crucial factors influencing telemedicine adoption, including informational influences, rewards, perceived ease of use, and usefulness. Meanwhile, the Importance-performance Map Analysis (IPMA) identified perceived ease of use as the most important factor for physicians, but the highest performance was patient's records.

Conclusions

The proposed integrated model enhances the understanding of telemedicine adoption and highlights the differential effects of individual, technological, clinical, and multidimensional social influence factors from the physicians' perspective. The findings can guide future studies and influence implementation strategies for telemedicine promotion in the Malaysian healthcare context. Hospitals should prioritize user-friendly technology and information provision, while telemedicine providers should enhance the accessibility of patient records to facilitate telemedicine adoption. Policymakers should consider supporting training programs that will boost physicians' confidence in effectively utilizing telemedicine.

Perspectives of Patients With Chronic Diseases on Future Acceptance of AI-Based Home Care Systems: Cross-Sectional Web-Based Survey Study

BACKGROUND

Artificial intelligence (AI)-based home care systems and devices are being gradually integrated into health care delivery to benefit patients with chronic diseases. However, existing research mainly focuses on the technical and clinical aspects of AI application, with an insufficient investigation of patients' motivation and intention to adopt such systems.

OBJECTIVE

This study aimed to examine the factors that affect the motivation of patients with chronic diseases to adopt AI-based home care systems and provide empirical evidence for the proposed research hypotheses.

METHODS

We conducted a cross-sectional web-based survey with 222 patients with chronic diseases based on a hypothetical scenario.

RESULTS

The results indicated that patients have an overall positive perception of AI-based home care systems. Their attitudes toward the technology, perceived usefulness, and comfortability were found to be significant factors encouraging adoption, with a clear understanding of accountability being a particularly influential factor in shaping patients' attitudes toward their motivation to use these systems. However, privacy concerns persist as an indirect factor, affecting the perceived usefulness and comfortability, hence influencing patients' attitudes.

CONCLUSIONS

This study is one of the first to examine the motivation of patients with chronic diseases to adopt AI-based home care systems, offering practical insights for policy makers, care or technology providers, and patients. This understanding can facilitate effective policy formulation, product design, and informed patient decision-making, potentially improving the overall health status of patients with chronic diseases.

Forecasting User Interests Through Topic Tag Predictions in Online Health Communities

The increasing reliance on online communities for healthcare information by patients and caregivers has led to the increase in the spread of misinformation, or subjective, anecdotal and inaccurate or non-specific recommendations, which, if acted on, could cause serious harm to the patients. Hence, there is an urgent need to connect users with accurate and tailored health information in a timely manner to prevent such harm. This article proposes an innovative approach to suggesting reliable information to participants in online communities as they move through different stages in their disease or treatment. We hypothesize that patients with similar histories of disease progression or course of treatment would have similar information needs at comparable stages. Specifically, we pose the problem of predicting topic tags or keywords that describe the future information needs of users based on their profiles, traces of their online interactions within the community (past posts, replies) and the profiles and traces of online interactions of other users with similar profiles and similar traces of past interaction with the target users. The result is a variant of the collaborative information filtering or recommendation system tailored to the needs of users of online health communities. We report results of our experiments on two unique datasets from two different social media platforms which demonstrates the superiority of the proposed approach over the state of the art baselines with respect to accurate and timely prediction of topic tags (and hence information sources of interest).

Behavioral predictors associated with HIV screening needs in gay Korean men during the COVID-19 pandemic

During the pandemic, the capacity of medical resources focused on testing, diagnosing and treating COVID-19 has severely limited public access to health care. In particular, HIV screening, for which homosexual males in Korea received free and anonymous testing at public health centers, was completely halted. This study investigated behavioral predictors related to the HIV screening needs of Korean male homosexuals during the pandemic. Data were collected by conducting a web survey targeting members of the largest homosexual portal site in Korea with support from the National Research Foundation of Korea (n = 1,005). The key independent variables are COVID-19-related characteristics and sexual risk behavior. The moderating variable is health information search behavior, and the dependent variable is the need for HIV screening. For a statistical analysis, a hierarchical multiple logistic regression analysis was conducted while controlling for potential confounding variables. According to the results of this study, the need for HIV screening was 0.928 times lower for older people (p<0.05, 95% CI = 0.966-0.998). However, if the respondent had a primary partner, the need for HIV screening was 1.459 times higher (p<0.01, 95% CI = 1.071-1.989). In addition, the need for screening was 1.773 times higher for those who preferred anal intercourse (p<0.01, 95% CI = 1.261-2.494) and 2.034 times higher (p<0.01, 95% CI = 1.337-3.095) if there was a history of being diagnosed with an STD. Finally, health information-seeking behavior was marginally significant. This study revealed that male Korean homosexuals who were young, preferred anal sex with a primary partner, and who had a history of a sexually transmitted disease had a high need for HIV screening at public health centers. They are more likely to be susceptible to HIV infection because they are usually consistent with gay men, characterized by risky behavior. Therefore, an intervention strategy that provides health information using a communication campaign is needed.

A Comparison of Women's and Men's Web-Based Information-Seeking Behaviors About Gender-Related Health Information: Web-Based Survey Study of a Stratified German Sample

BACKGROUND

Gender-sensitive approaches to health communication aim to integrate gender perspectives at all levels of communication, as an individual's biological sex and socially assigned gender identity have an impact on whether and how one acquires what type of health information. Due to the fast and low-cost opportunity to search for a wide range of information, the internet seems to be a particularly suitable place for gender-related health information about diseases of sex-specific organs and diseases where biological differences are associated with different health risks.

OBJECTIVE

This study aims to inform gender-related information provision and acquisition in 2 ways. The first objective was to provide a theory-driven analysis of web-based health information-seeking behavior (HISB) regarding gender-related issues. Therefore, the Planned Risk Information Seeking Model (PRISM), which is one of the most integrative models of HISB, was adapted and applied. Second, we asked for gender-specific motivational determinants of gender-related web-based HISB comparing the predictors in the groups of women and men.

METHODS

Data from a stratified web-based survey of the German population (N=3000) explained gender-related web-based HISB and influencing patterns comparing women and men. The applicability of PRISM to gender-related web-based HISB was tested using structural equation modeling and a multigroup comparison.

RESULTS

The results revealed PRISM as an effective framework for explaining gender-related web-based HISB. The model accounted for 28.8% of the variance in gender-related web-based HISB. Gender-related subjective norms provided the most crucial explanatory power, followed by perceived seeking control. The multigroup comparison revealed differences in the model's explanatory power and the relevance of predictors of gender-related web-based HISB. The share of explained variances of web-based HISB is higher in men than in women. For men, norms were a more relevant promoting factor, whereas web-based HISB of women was more strongly associated with perceived seeking control.

CONCLUSIONS

The results are crucial for gender-sensitive targeting strategies and suggest gender-related health information interventions that address gender-related subjective norms. Furthermore, programs (eg, web-based learning units) should be developed and offered to improve individuals' (perceived) abilities to perform web-based searches for health information, as those with higher control beliefs are more likely to access web-based information.

Associations between media use, self-efficacy, and health literacy among Chinese rural and urban elderly: A moderated mediation model

Objectives

The influence of media use on health literacy among urban and rural elderly has been unknown in China. This study aims to examine the association between media use and health literacy and to explore the mediating role of self-efficacy and the moderating role of urban-rural residency.

Methods

Based on the cross-sectional study of the Psychology and Behavior Investigation of Chinese Residents (PBICR) in 2022, a total of 4,070 Chinese old people aged 60 years and above were included. We adopted the simplified New General Self-Efficacy Scale (NGSES) and the simplified Health Literacy Scale-Short Form (HLS-SF) to measure self-efficacy and health literacy. Media use was measured using a self-administrated questionnaire.

Results

Results showed that Chinese urban elderly had a higher frequency of media use than rural ones in the aspects of social activities, self-presentation, social action, leisure and entertainment, information acquisition, and business transactions through media (P < 0.001). Among all participants, self-presentation (B = 0.217, 95% CI: 0.040, 0.394), leisure and entertainment (B = 0.345, 95% CI: 0.189, 0.502), and information acquisition (B = 0.918, 95% CI: 0.761, 1.076) were significantly associated with health literacy. Self-efficacy partially mediated the effect of media use on health literacy (Bindirect = 0.045, 95% CI: 0.032, 0.058), accounting for 18.37% of the total effect. Urban-rural residency (B = 0.049, 95% CI: 0.024, 0.075) moderated the relationship between media use and self-efficacy significantly.

Conclusion

The urban-rural gap in health literacy requires more attention. The promotion of media use and self-efficacy may play a role in eliminating health disparities.

Limitations

As a cross-sectional study, it could not establish cause-effect relationships.

Examining Factors of Health Information Communicant Activeness of Chinese Residents in Outdoor Activities during Public Health Emergencies

This study explores the influencing factors of residents' outdoor health information communicant activeness under public health emergencies and analyzes the relationship between cognition, motivation, and dissemination behavior. Based on the theory of perceived risk and the Situational Theory of Problem-Solving (STOPS), this study builds a model demonstrating the factors that affect the health information communicant activeness of residents' outdoor activities under public health emergencies and conducts empirical analysis through questionnaires and a structural equation model. Results showed that (1) perceived risk, problem recognition, and involvement recognition positively affected health information communicant activeness through situational motivation; (2) constraint recognition negatively affects health information communicant activeness through situational motivation; and (3) the referent criterion has a direct effect on communicant activeness. This study has great significance for understanding residents' health information communicant activeness in outdoor activities and providing them with high-quality health information services.

Building Caregivers' Social Support on Social Network Sites Through Online Support Groups

Online support groups (OSGs) provide caregivers of children with mental disorders, information, and advice, as well as the opportunity to exchange social support. This research explores the effects of social support on caregivers when they participate in OSGs. The research survey was conducted on OSGs for parents of children with mental disorders, including developmental delay, autism spectrum disorder, and attention-deficit/hyperactivity disorder. This study collected 204 questionnaires from caregivers for analysis. The results found that informational support and tangible support positively affect members' self-efficacy (SEF), while offering esteem support, emotional support, and companionship support, influencing positive affect (PA). Both SEF and PA improve with members' knowledge-sharing intentions and subjective well-being. In addition, PA impacts the release of stress and recovery from self-stigma. This study provides insights into members' behavior toward support groups. The findings also provide preliminary guidelines for health professionals in adopting strategies to support caregivers.

Social media in health communication: A literature review of information quality

BACKGROUND

Social media is used in health communication by individuals, health professionals, disease centres and other health regulatory bodies. However, varying degrees of information quality are churned out daily on social media. This review is concerned with the quality of Social Media Health Information (SMHI).

OBJECTIVE

The review sought to understand how SMHI quality issues have been framed and addressed in the literature. Health topics, users and social media platforms that have raised health information quality concerns are reviewed. The review also looked at the suitability of existing criteria and instruments used in evaluating SMHI and identified gaps for future research.

METHOD

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the forward chaining strategy were used in the document search. Data were sourced according to inclusion criteria from five academic databases, namely Scopus, Web of Science, Cochrane Library, PubMed and MEDLINE.

RESULTS

A total of 93 articles published between 2000 and 2019 were used in the review. The review revealed a worrying trend of health content and communication on social media, especially of cancer, dental care and diabetes information on YouTube. The review further discovered that the Journal of the American Medical Association, the DISCERN and the Health on the Net Foundation, which were designed before the advent of social media, continue to be used as quality evaluation instruments for SMHI, even though technical and user characteristics of social media differ from traditional portals such as websites.

CONCLUSION

The study synthesises varied opinions on SMHI quality in the literature and recommends that future research proposes quality evaluation criteria and instruments specifically for SMHI.

COVID-19 related stress during and one year after the first wave of the pandemic outbreak in China: The role of social support and perceptions of the pandemic

Introduction

COVID-19 related stress might vary with the pandemic changes, as well as other associated factors. This study aimed to compare the stress level during the first wave of the pandemic outbreak and 1 year later in China, and to explore the differential roles of social support and perceptions of this disease in affecting pandemic-related stress over time.

Methods

COVID-19 related stress, social support, and perceptions of the pandemic (perceived threat, perceived protection, and perceived controllability) were measured using the Impact of Event Scale-Revised for COVID-19, the Multidimensional Scale of Perceived Social Support, and the Self-Compiled Scale of COVID-19 Related Perception, respectively. Using an online survey, two independent samples were collected during the first wave of the COVID-19 outbreak (Time 1: March 2020, N = 430) and 1 year later (Time 2: April 2021, N = 512).

Results

Levels of COVID-19 related stress and social support were lower at Time 2. Furthermore, at both Time 1 and Time 2, more social support was associated with less stress. Perceived protection and controllability of COVID-19 also mediated the relationship between social support and COVID-19 at both time points. However, the perceived threat of COVID-19 only served as a mediator at Time 1.

Conclusion

These results indicate that Chinese people might experience lower COVID-19 related stress as the pandemic progresses. The perceived threat of COVID-19 played a more critical role in stress experienced at Time 1. These findings not only underscore the importance of social support under the context of Chinese society, but also have implications for developing specific interventions targeting different perceptions of COVID-19 to reduce pandemic-related stress during the different waves of this pandemic.

Promotion strategy for online healthcare platform during the COVID-19 pandemic: Evidence from Spring Rain Doctor in China

INTRODUCTION

Online healthcare platform (OHP) is a new form of medical treatment that solves the problems of an unbalanced distribution of medical resources in China. Especially during the COVID-19 pandemic, OHP has greatly reduced the medical pressure of the hospital and the risk of cross-infection.

METHODS

Based on self-determination theory (SDT) (Ryan and Deci, 2000), privacy calculus theory (PCT) (Culnan, 1999) and perceived value theory (PVT) (Choi, 2004), this study uses evolutionary game theory to analyze behavioral strategies and their dynamic evolution in the promotion of OHP. Moreover, we conduct numerical simulations with the help of program compilation.

RESULTS

The results demonstrate that (1) both the qualification inspection of doctors and the investment in information protection influence doctors' participation in and patients' usage of OHP; (2) both the initial probabilities of doctor participation and patient usage influence the multi-game results; (3) the trend of doctors joining OHP is affected by registration cost, time cost, and reputation loss; and (4) the trend of patients using online healthcare is mainly decided by the cost.

CONCLUSION

This study takes the Spring Rain Doctor as an example to verify the game results. To further popularize online medical treatment among patients, the platform should attach importance to the inspection of doctors and the protection of privacy information and strengthen its publicity in remote places.

Digital Media Exposure and Health Beliefs Influencing Influenza Vaccination Intentions: An Empirical Research in China

The purpose of this study was to investigate whether/how digital media exposure influences people's intention to influenza vaccination. Through an anonymous online survey, we collected data on Chinese people's exposure to influenza and influenza vaccine information on digital media platforms and their attitudes toward influenza vaccines (N = 600). The structural equation model analysis results strongly support to the research hypotheses and the proposed model. The findings reveal three major themes: (1) digital media exposure significantly influence the susceptibility and severity of influenza. (2) After exposure to digital media, it is helpful to understand the vaccine's benefits, reduce the barriers to vaccination, and finally improve the intention to vaccination. (3) Users receive cues to action from digital media, and their vaccination intention tends to be positive. These findings explore how digital media exposure influences influenza vaccination intention and may provide insights into vaccine promotion efforts in countries. Research has shown that digital media exposure contributes to getting vaccinated against influenza.

Exploring the Relationship between Perceived Community Support and Psychological Well-Being of Tourist Destinations Residents

To explore the relationship between community support in tourist destinations and residents' psychological well-being in the post-COVID-19 pandemic period, this study adopts the questionnaire survey method and draws the following conclusions by constructing a structural equation model: (1) perceived community support is very helpful for the psychological well-being of residents, (2) psychological resilience significantly mediates the relationship between perceived community support and residents' psychological well-being, (3) the resident-tourist interaction mediates the relationship between perceived community support and residents' psychological well-being, and (4) the resident-tourist interaction and psychological resilience play an ordered chain-mediating role between perceived community support and residents' psychological well-being. These findings not only fill the gap in tourism research regarding destination-based community support studies but also provide a theoretical basis for maintaining residents' psychological well-being in a given destination in the context of the COVID-19 pandemic. To a certain extent, improving residents' well-being is helpful for promoting the healthy and sustainable development of tourism activities and realizing a "win-win" situation in which tourist destinations develop economically while promoting their residents' living standards.

Online Health Information Seeking Among Patients With Chronic Conditions: Integrating the Health Belief Model and Social Support Theory

BACKGROUND

Chronic diseases are the leading causes of death and disability. With the growing patient population and climbing health care expenditures, researchers and policy makers are seeking new approaches to improve the accessibility of health information on chronic diseases while lowering costs. Online health information sources can play a substantial role in effective patient education and health communication. However, some contradictory evidence suggests that patients with chronic conditions may not necessarily seek online health information.

OBJECTIVE

This study aims to integrate 2 theories (ie, the health belief model and social support theory) and a critical health literacy perspective to understand online health information seeking (OHIS) among patients with chronic conditions.

METHODS

We used the survey method to collect data from online chronic disease communities and groups on social media platforms. Eligible participants were consumers with at least 1 chronic condition and those who have experience with OHIS. A total of 390 valid questionnaires were collected. The partial least squares approach to structural equation modeling was employed to analyze the data.

RESULTS

The results suggested that perceived risk (t=3.989, P<.001) and perceived benefits (t=3.632, P<.001) significantly affected patients' OHIS. Perceived susceptibility (t=7.743, P<.001) and perceived severity (t=8.852, P<.001) were found to influence the perceived risk of chronic diseases significantly. Informational support (t=5.761, P<.001) and emotional support (t=5.748, P<.001) also impacted the perceived benefits of online sources for patients. In addition, moderation analysis showed that critical health literacy significantly moderated the link between perceived risk and OHIS (t=3.097, P=.002) but not the relationship between perceived benefits and OHIS (t=0.288, P=.774).

CONCLUSIONS

This study shows that the health belief model, when combined with social support theory, can predict patients' OHIS. The perceived susceptibility and severity can effectively explain perceived risk, further predicting patients' OHIS. Informational support and emotional support can contribute to perceived benefits, thereby positively affecting patients' OHIS. This study also demonstrated the important negative moderating effects of critical health literacy on the association between perceived risk and OHIS.

Information adoption behavior in online healthcare communities from the perspective of personality traits

Improving standards of living have resulted in an increased focus on health and image management. In a context where the quality of healthcare information is unguaranteed, the adoption behavior intention of online health information varies greatly. Hence, it is essential to take effective measures to guide community users to obtain high-quality information on demand. From the perspective of personality traits, the present study analyzed the influencing factors and mechanisms of adoption behavior intention of healthcare information in online healthcare communities as well as the moderating effects of social support. A quantitative analysis of 380 respondents revealed positive associations between five personality dimensions and the adoption behavior intention of healthcare information–extraversion, agreeableness, conscientiousness, neuroticism, and openness. The study also determined that health concerns and health-related self-efficacy played a mediating role across various degrees between the conscientiousness and adoption behavior intention of healthcare information. As an important contextual factor influencing health outcomes, social support is common in online healthcare communities. The study examined the effect of the interaction between inner traits and social support on adoption behavior intention. Perceived self-esteem support strengthened the indirect effect of conscientiousness on adoption behavior intention mediated by health concerns and health-related self-efficacy. Additionally, the impact of high neuroticism interacted with low levels of perceived self-esteem support on adoption behavior intention was significant. Likewise, emotional supportive information did not help in facilitating the adoption behavior intention in terms of all five personality traits and negatively influence the adoption behavior intention for individuals high in neuroticism and agreeableness. The possible explanation for the results was discussed with the intention of understanding the psychological mechanisms which guide adoption behavior intention.

Consumers' food control risk attitude for blockchain traceable information seeking: Evidence from fresh fruit buyers in China

The blockchain-based traceability in agri-food marketing has brought a disruptive paradigm shift by removing the inherent information asymmetry problem. Likewise, revealing sufficient product quality and attributes information could break agricultural markets' “Lemon Market” dilemma. This study takes the fresh fruit with blockchain traceability QR label as a case and systematically investigates the influence of consumers' food control risk attitude on information-seeking intentions. We utilized online survey data of 1,058 fresh fruit buyers and simultaneously applied ordinary least square (OLS), ordered logit model (Ologit), and propensity score matching (PSM) approaches to overcome the potential self-selection biases and confounding factors. The results show that risk attitude significantly negatively impacts consumers' information seeking fresh fruits. The stronger consumers' risk preference, the lower the probability of information seeking. Furthermore, we used PSM to overcome potential sample selectivity bias; therefore, PSM reinforces the significance of OLS and Ologit results. The sub-sample estimation results show that young individuals with high school and below education have stronger blockchain information-seeking intentions. The study provides new insights into the role of food control risk attitude and agri-food information traceability and offers several measures for policy and practice to realize a border trajectory in agri-food information disclosure.

Factors impacting behavioural intentions to adopt the electronic marketplace: findings from small businesses in India

The pandemic has accelerated e-commerce adoption for both consumers and sellers. This study aims to identify factors critical to the adoption of electronic markets (EM) during the pandemic, from the perspective of small sellers in non-metro cities. The research design utilizes core dimensions of the UTAUT model and selected constructs from protection motivation theory; since business closure vulnerability also triggers electronic market adoption. A questionnaire survey method was used to collect data from 150 sellers from tier-II/III cities of India. Study results identified performance expectancy, effort expectancy, social influence and perceived vulnerability as significant determinants of behavioural intention towards adoption of EM. The findings also explain the moderating impact of sellers' awareness of information technology and merchants' age on behavioural outcomes. Given the growing demands from such cities, the research offers insights for marketers to understand the bottlenecks and ways to motivate small sellers to get associated with EMs.

Medical information seeking behavior of urban patients in Zhejiang Province, China: a cross-sectional study

Background

Health information seeking behavior (HISB) is a prevalent research topic. However, little is known about sociodemographic factors of HISB in China. This study aimed to examine the HISB of urban patients in China and identify predictors of source preference, online information seeking, and the timing of online seeking.

Methods

Based on the Health Information National Trends Survey (HINTS), this study conducted a cross-sectional survey of 1653 participants in different types of hospitals in 3 cities of different income levels within Zhejiang Province, China. Binary logistic regression analysis and multinomial logistic regression analysis were used to identify predictors of source preference, online medical information seeking, and the timing of online seeking for urban patients.

Results

The offline was the primary source of medical information for 58.61% of adult urban patients, while 78.19% had ever sought medical information online. 36.81% of online medical information seekers sought information before the medical visit, 8.65% sought information after the visit, and 54.54% sought information before and after the visit. China’s urban patients with higher education levels, higher income levels, young, active in internet use, and living in high-income cities were more likely to be active online medical information seekers (using the internet as the primary source) and online medical information seekers (having ever sought medical information online). Except for gender and age, most sociodemographic characteristics were not significantly associated with the timing of online medical information seeking.

Conclusions

Significant predictors of active online medical information seekers and online medical information seekers in China were almost the same. Regional economic development had a significant direct impact on medical information seekers. Most sociodemographic characteristics were not significantly associated with the timing of online medical information seeking. The findings of this study imply that China’s health information technology industry has Chinese characteristics.

Can online health information sources really improve patient satisfaction?

Internet information has become the main way for individuals to obtain health information. The purpose of this paper is to explore the role online information sources play in health decision-making. Specifically, we investigated the relationship between online information sources and patient satisfaction, as well as their moderating effects as compared to those of other information sources. Using logistical regression analysis, we conducted the longitudinal data on 54,027 doctors and 952,877 online doctor reviews from 3,525 hospitals in 31 provinces to test a proposed research model. The results showed that patient satisfaction was generally lower for individuals who found a doctor through online information sources. Therefore, we suggest that patients consider the doctor quality, the doctor popularity, and patient involvement. In addition, we found that the doctor popularity had a negative moderating effect between online information sources and patient satisfaction, while patient involvement had a positive moderating effect between online information sources and patient satisfaction. The study provides strategic guidance and practical implications for policies, online healthcare community managers, and patients.

Expanding the Health Information National Trends Survey Research Program Internationally to Examine Global Health Communication Trends: Comparing Health Information Seeking Behaviors in the U.S. and Germany

The Health Information National Trends Survey (HINTS) is a well-established U.S.-based research program administered by the National Cancer Institute to track the public access to and use of health information. This paper introduces a German research initiative, part of the International Studies to Investigate Global Health Information Trends (INSIGHTS) research consortium. This adaptation of the HINTS is important for initiating analyses of global health communication practices and comparing health information seeking behaviors (HISB) across nations to pinpoint potentials and challenges of health information provision and contribute to a deeper understanding of socio-contextual determinants of HISB. First cross-country comparisons revealed that the share of residents seeking for health information is high in the U.S. (80%) and Germany (74%), but different primary sources are used. Whereas a clear majority of U.S. residents chose the Internet to gather health information (74.9%), Germans most often turn to health professionals (48.0%). Socio-structural and health(care)-related predictors were found to contribute to the explanation of HISB in both countries, whereas information-related predictors were only relevant in Germany. The results indicate the need to engage in patient-provider communication to initiate HISB and to improve the access to information for residents with lower socio-economic backgrounds.

Predicting the Willingness and Purchase of Travel Insurance During the COVID-19 Pandemic

This study explored the willingness and purchase of travel insurance during the COVID-19 pandemic amongst working adults to ensure their safety and welfare through the lens of the theory of planned behavior. Primary data were gathered from 1,118 working adults across Malaysia and analyzed using the partial least squares structural equation modeling. The study outcomes revealed that attitude toward travel insurance was significantly influenced by insurance literacy, perceived health risk, and health consciousness. The willingness of working adults to purchase travel insurance was highly influenced by attitudes, subjective norms, and perceived behavioral controls but unaffected by perceived product risks. The purchase of travel insurance was positively influenced by the willingness to purchase travel insurance. In fact, travel insurance literacy and perceived health risk should be emphasized amongst working adults to encourage them to purchase travel insurance policies for traveling abroad.

The Impact of Risk Perception Difference of Members of a Scientific Research Project Team on Information Adoption: The Moderating Effect of Knowledge Inertia

A scientific research project is always full of uncertainties and risks. In this condition, full exchange and complementarity of information resources among project team members are necessary and important to meet the information needs for project risk management and even affect the success of the project. The differentiated risk perception of members with various professional backgrounds can contribute to the communication and complementary of the necessary information within the team. However, too much difference in perceptions of project risks may cause members’ information conflicts, which may hinder the adoption of various information and do harm to the risk management. Considering the limited research on this “contradictory” relationship, especially for the scientific research project team, a special group, this study explores the impact of the risk perception differences of the scientific research project team members on information adoption behavior through the large sample empirical statistical method. The results show the hat risk perception difference of members positively affects the learning willingness and information adoption behavior but does not show a negative effect, and there is no inverted U-shaped relationship. Further, learning willingness plays a mediating role between both, while learning inertia and experience inertia positively and negatively moderate the positive effects of risk perception differences on learning willingness, respectively. From the cognitive perspective, this study further reveals the internal influence mechanism of risk perception difference of scientific research project team members on information behavior and provides a theoretical reference for improving the efficiency of information communication and optimizing collaborative team management.

Exploring member’s knowledge sharing intention in online health communities: The effects of social support and overload

This study explores the determinants of members’ participation intention in online health communities (OHC) from both the facilitators and barriers points of view. From the facilitators perspective, each member’s subjective well-being plays a crucial role in sharing intention. On the other hand, from the barriers point of view, social network site exhaustion would negatively affect. The survey was conducted on two online support groups, including parents of children with autism spectrum disorder and caregivers of dementia disease. This study collected 330 questionnaires from social network sites to examine the research model. The results showed that social support positively affects members’ self-efficacy; in turn, self-efficacy has a positive effect on subjective well-being. Overload has an impact on psychological distress. Moreover, members’ subjective well-being determined their knowledge sharing intention.

Social Media and Social Support: A Framework for Patient Satisfaction in Healthcare

Social media has been a powerful source of social support for health consumers. In the healthcare sector, social media has thrived, building on various dynamic platforms supporting the connection between social relationships, health, and wellbeing. While prior research has shown that social support exerts a positive impact on health outcomes, there is scant literature examining the implications of social support for patient satisfaction, which suggests that there is a profound gap in the extant literature. The objective of this study is to develop and test a theoretical model for understanding the relationship between different dimensions of social support and patient empowerment. The study further investigates the debated relationship between patient empowerment and patient satisfaction. The measurement model indicated an acceptable fit (χ2 = 260.226; df, 107, χ2/df = 2.432, RMSEA = 0.07, GFI = 0.90, IFI = 0.95, TLI = 0.94, and CFI = 0.95). Findings indicate that emotional support (p < 0.001), information support (p < 0.05), and network support (p < 0.001) positively influence the notion of patient empowerment. In turn, patient empowerment positively influences patient satisfaction (p < 0.001). The proposed framework contributes to the health communication literature by introducing a novel framework for patient satisfaction in the social media context, which provides important inputs for healthcare service providers in developing patient empowerment strategies.

The Digital Divide and Seeking Health Information on Smartphones in Asia: Survey Study of Ten Countries

Background

Although recent developments in mobile health have elevated the importance of how smartphones empower individuals to seek health information, research investigating this phenomenon in Asian countries has been rare.

Objective

The goal of our study was to provide a comprehensive profile of mobile health information seekers and to examine the individual- and country-level digital divide in Asia.

Methods

With survey data from 10 Asian countries (N=9086), we ran multilevel regression models to assess the effect of sociodemographic factors, technological factors, and country-level disparities on using smartphones to seek health information.

Results

Respondents who were women (β=.13, P<.001), parents (β=.16, P<.001), employed (β=.08, P=.002), of higher social status (β=.08, P<.001), and/or from countries with low health expenditures (β=.19, P=.02) were more likely to use smartphones to seek health information. In terms of technological factors, technology innovativeness (β=.10, P<.001) and frequency of smartphone use (β=.42, P<.001) were important factors of health information seeking, whereas the effect of online information quality was marginal (β=–.04, P<.001).

Conclusions

Among smartphone users in Asia, health information seeking varies according to individuals’ socioeconomic status, their innovativeness toward technology, and their frequency of smartphone use. Although smartphones widen the digital divide among individuals with different socioeconomic status, they also bridge the divide between countries with varying health expenditures. Smartphones appear to be a particularly useful complement to manage health in developing countries.

Does Internet Use Affect Medical Decisions among Older Adults in China? Evidence from CHARLS

Background: The rapid growth of the elderly population poses a huge challenge for people to access medical services. The key to get rid of the dilemma is for patients to go firstly to primary medical institutions. Existing studies have identified numerous factors that can affect patients’ health institution choice. However, we currently know little about the role of Internet use in the patients’ medical decisions. The objective of this study is to explore health-seeking behavior and institution choice under the background of the Internet era from the perspective of older adults, and to analyze whether the Internet could guide patients to the appropriate medical institution so as to accomplish hierarchical treatment. Methods: The dataset comprises 9416 people aged 45 or above from the China Health and Retirement Longitudinal Survey (CHARLS), which, through multistage cluster sampling, was conducted in 2011, 2013, and 2015. Logistic regression, PSM, and FE model are used to estimate the influence of Internet use on the health care decision-making behavior. Results: Internet use has a significant positive impact on the self-treatment of common diseases (β = 0.05, p < 0.05). In terms of medical institution choices, those who use Internet are more inclined to choose top-level hospitals than community health service institutions to treat common diseases (β = 0.06, p < 0.01). Conclusions: The Internet has lowered the obstacles to learning about common ailments, resulting in a substitution impact of self-treatment for hospital care. However, Internet use may aggravate older adults’ perception of the risk of disease, which exacerbates the tendency of going to higher-level medical institutions for medical treatment. The finding of the study is useful for further rational planning and utilization of the Internet in order to guide patients to appropriate medical institution, which helps to improve the efficiency of the overall medical and health services.

Patients need emotional support: Managing physician disclosure information to attract more patients

BACKGROUND

Information asymmetry causes barriers for the patient's decision-making in the online health community. Patients can rely on the physician's self-disclosed information to alleviate it. However, the impact of physician's self-disclosed information on the patient's decision has rarely been discussed.

OBJECTIVES

To investigate the impact of the physician's self-disclosed information on the patient's decision in the online health community and to examine the moderating effect of the physician's online reputation.

METHODS

Drawing on the limited-capacity model of attention, we develop a theoretical model to estimate the impact of physician's self-disclosure information on patient's decision and the contingent roles of physician's online reputation in online healthcare community by econometric methods. We designed a web crawler based on R language program to collect more than 20,000 physicians' data from their homepage in Haodf-a leading online healthcare community platform in China. The attributes of the physician's information disclosure are measured by the following variables: emotion orientation, the quantity of information and the semantic topics diversity.

RESULTS

The empirical analysis derives the following findings: (1) The emotion orientation in physician's self-disclosure information is positively associated with patient's decision; (2) Both excessive quantity of information and semantic topics diversity can raise barriers for patient's decision; (3) When the level of physician's online reputation is high, the negative effect of the quantity of information and semantic topics diversity are all strengthened while the positive effect of the emotion orientation is not strengthened.

CONCLUSIONS

This study has a profound importance for a deep understanding of the impact of physician's self-disclosure information and contributes to the literature on information disclosure, the limited capacity model of attention, patient's decision. Also, this study provides implications for practice.

Understanding mobile users' information adoption behaviour: an extension of the information adoption model

Purpose

Mobile messaging applications (MMAs) have surpassed top social media platforms. Recent and rapid use of MMAs has made it extremely difficult to ignore the existence of customer-to-customer (C2C) mobile information. This study, therefore, aims to expand the knowledge of customers' adoption behaviour of such information.

Design/methodology/approach

Through applying and utilizing social support theory (SST) and the information adoption model (IAM), this study introduces a holistic theoretical model, explaining customers' adoption of information derived from MMAs and exploring the antecedents of IAM. Based on the data collected from 305 UK MMA users, this study empirically tests the research model using structural equation modelling estimation.

Findings

The results of this study reveal that social support is a key antecedent of information quality and credibility and support IAM in terms of its ability to explain MMAs' information adoption.

Practical implications

The insights are valuable for businesses and marketers to understand customers' mobile communications and be socially support-oriented while developing marketing communication strategies.

Originality/value

The study integrates SST and IAM to improve the understanding of customers' information adoption behaviour. It is the first attempt that establishes that social support is a key antecedent of IAM.

What users seek and share in online diabetes communities: examining similarities and differences in expressions and themes

Purpose

This paper aims to investigate user health information seeking and sharing patterns and content in an online diabetes community and explore the similarities and differences in the ways and themes they expressed.

Design/methodology/approach

Multiple methods are applied to analyze the expressions and themes that users seek and share based on large-scale text data in an online diabetes community. First, a text classifier using deep learning method is performed based on the expression category this study developed. Second, statistical and social network analyses are used to measure the popularity and compare differences between expressions. Third, topic modeling, manual coding and similarity analysis are used to mining topics and thematic similarity between seeking and sharing threads.

Findings

There are four different ways users seek and share in online health communities (OHCs) including informational seeking, situational seeking, objective information sharing and experiential information sharing. The results indicate that threads with self-disclosure could receive more replies and attract more users to contribute. This study also examines the 10 topics that were discussed for information seeking and 14 topics for information sharing. They shared three discussion themes: self-management, medication and symptoms. Information about symptoms can be largely matched between seeking and sharing threads while there is less overlap in self-management and medication categories.

Originality/value

Being different from previous studies that mainly describe one type of health information behavior, this paper analyzes user health information seeking and sharing behaviors in OHCs and investigates whether there is a correspondence or discrepancy between expressions and information users spontaneously seek and share in OHCs.

Factors affecting individual online rumor sharing behavior in the COVID-19 pandemic

With the outbreak of COVID-19, online sharing of rumors about the disease is of growing concern worldwide. Drawing on the stimulus-organism-response (S-O-R) framework, this study aims to explore the impacts of peer condition and peer communication on fear of COVID-19, and the impact of fear of COVID-19 on online rumor sharing behavior, by considering the contingency effect of health self-efficacy. Data from 1167 respondents to an online survey in China were adopted to test our research model. The results indicate that peer communication and peer condition induce fear of COVID-19, and fear of COVID-19 results in online rumor sharing. Fear of COVID-19 mediates the effects of peer communication and peer condition on online rumor sharing. Health self-efficacy alleviates the positive effect of peer communication on fear of COVID-19, and the positive effect of fear of COVID-19 on online rumor sharing. This study advances the literature on online rumor sharing and S-O-R, and provides practical implications to social media users and governments.

Factors affecting smallholder farmers' technical and non-technical adaptation responses to drought in Iran

Farmers adopt a range of technical and non-technical adaptation behaviors (TANAB) to alleviate the negative effects of drought. Understanding this adaptation behavior and its determinants is essential for improving adaptation capacity and promoting sustainable agriculture. In this study, we investigated the factors affecting TANAB using the Health Belief Model (HBM) as a theoretical framework. A survey was conducted of 320 farmers in Dashtestan County, Bushehr Province, southern Iran, on the shores of Persian Gulf. We used multi-stage stratified random sampling to select the research samples and applied structural equation modeling to analyze the determinants of TANAB. The findings revealed that the self-efficacy variable is the most important predictor of TANAB. As well as self-efficacy, other determinants of technical adaptation behaviors (TAB) are perceived barriers, severity, and susceptibility. Self-efficacy and cue to action were found to determine non-technical adaptive behaviors (NAB). This study indicates the differences between the determinants of TAB and NAB and emphasizes the key role of self-efficacy. The results of this study have implications for policymakers in the agricultural sector and can help in the development of interventionist policies to improve rural development in response to environmental crises. Governments and policymakers need to reinforce capacity-building potential for agricultural extension systems and adaptation training through information and communication technologies. This investment in education is critical for sustainable agricultural development and encourages farmers to adopt appropriate drought strategies aiming reducing farmers' vulnerability.

Measuring online health-seeking behaviour: Construction and initial validation of a new scale

OBJECTIVES

Online health-seeking behaviour (OHSB) such as information- and support-seeking encompasses a range of motivations and outcomes, but few studies consider the nuances of OHSB. The current study aimed to (1) develop and provide an initial validation of an OHSB measure, and (2) explore the role of demographic variables in OHSB among adult Internet users.

DESIGN

The study was a quantitative, cross-sectional online survey.

METHODS

The study consistent of two data collection waves, including 451 general Internet users (aged 18-73) and 204 online health groups users (aged 19-78) who completed online questionnaires.

RESULT

Exploratory Factor Analysis and Item Analysis in the two samples resulted in a final 37-item measure. The scale comprises three distinct factors: Support seeking (α = .97); information seeking (α = .89); and the Internet as a supplement or alternative to offline medical care (α = .88). Multiple regression analyses indicated that younger age, a higher number of people living in the household, and presence of a chronic condition significantly predicted all three aspects of OHSB. Poorer perceived health also predicted support-seeking online, while being male, employed and a general Internet user (vs. online health group member) also predicted using the Internet as a supplement or alternative to offline medical care.

CONCLUSION

The study presents a useful scale for future research to explore more complex psychosocial, contextual and health-related variables as potential contributors to health-seeking in the online domain.

Risk perception and information-seeking behavior during emergency: An exploratory study on COVID-19 pandemic in Bangladesh

With the fluctuating condition of the pandemic, people's perception of COVID-19 is also inconstant. If people perceive a low risk of any health emergency or any other crisis, they won't look for proper information to change their attitude, which might increase their risk. Through the use of two different theories and a mixed-method approach, this study attempted to understand the current perception about COVID-19 and the relationship between risk perception and information-seeking behavior. Survey and in-depth key informant interviews were used as tools for data collection. The results indicated that COVID-19 related risk perception changes following people's demographic and socio-economic characteristics. Also, the study found out a relationship of variation in information-seeking behavior on the basis of factors like demographic characteristics, past experience of any emergency, salience, and belief. Results specified that people seek information differently when they perceive a risk to be of higher order. The study summarized that the information sought about any risk could also amplify or reduce the level of perceived risk. In the end, the study concluded that if people do not perceive the risk of any emergency and don't seek proper information, raising awareness about a pandemic like COVID-19 and managing the emergency will be challenging.

Social media and its impact on health care

OBJECTIVE

Social media has fundamentally changed how the world shares and receives information. This review offers a perspective for the practicing clinician regarding how patients are being influenced by their online interactions and considerations for proactively discussing medical decision making with patients.

DATA SOURCES

Literature search of PubMed database and online published market research data surrounding social media use.

STUDY SELECTIONS

Peer-reviewed studies, Pew research data, and editorials in the English language were selected and reviewed.

RESULTS

There has been a substantial increase in the breadth and depth of literature surrounding the use of social media by patients and medical professionals. Increased focus on how it contributes to medical decision making and patient-clinician interactions has occurred in recent years. The coronavirus disease 2019 pandemic has highlighted the various sources of misinformation and disinformation and how they impact care on many levels. Best practices have been established to assist medical professionals in developing an online presence to combat misinformation or address individual patients.

CONCLUSION

There is growing understanding and recognition of the myriad of ways in which social media is impacting health care. Health care professionals from all backgrounds need to increase their understanding of these complex interactions to best assist patients with their medical decision making.

Evolutionary Overview of Consumer Health Informatics: Bibliometric Study on the Web of Science from 1999 to 2019

BACKGROUND

Consumer health informatics (CHI) originated in the 1990s. With the rapid development of computer and information technology for health decision making, an increasing number of consumers have obtained health-related information through the internet, and CHI has also attracted the attention of an increasing number of scholars.

OBJECTIVE

The aim of this study was to analyze the research themes and evolution characteristics of different study periods and to discuss the dynamic evolution path and research theme rules in a time-series framework from the perspective of a strategy map and a data flow in CHI.

METHODS

The Web of Science core collection database of the Institute for Scientific Information was used as the data source to retrieve relevant articles in the field of CHI. SciMAT was used to preprocess the literature data and construct the overlapping map, evolution map, strategic diagram, and cluster network characterized by keywords. Besides, a bibliometric analysis of the general characteristics, the evolutionary characteristics of the theme, and the evolutionary path of the theme was conducted.

RESULTS

A total of 986 articles were obtained after the retrieval, and 931 articles met the document-type requirement. In the past 21 years, the number of articles increased every year, with a remarkable growth after 2015. The research content in 4 different study periods formed the following 38 themes: patient education, medicine, needs, and bibliographic database in the 1999-2003 study period; world wide web, patient education, eHealth, patients, medication, terminology, behavior, technology, and disease in the 2004-2008 study period; websites, information seeking, physicians, attitudes, technology, risk, food labeling, patient, strategies, patient education, and eHealth in the 2009-2014 study period; and electronic medical records, health information seeking, attitudes, health communication, breast cancer, health literacy, technology, natural language processing, user-centered design, pharmacy, academic libraries, costs, internet utilization, and online health information in the 2015-2019 study period. Besides, these themes formed 10 evolution paths in 3 research directions: patient education and intervention, consumer demand attitude and behavior, and internet information technology application.

CONCLUSIONS

Averaging 93 publications every year since 2015, CHI research is in a rapid growth period. The research themes mainly focus on patient education, health information needs, health information search behavior, health behavior intervention, health literacy, health information technology, eHealth, and other aspects. Patient education and intervention research, consumer demand, attitude, and behavior research comprise the main theme evolution path, whose evolution process has been relatively stable. This evolution path will continue to become the research hotspot in this field. Research on the internet and information technology application is a secondary theme evolution path with development potential.

Online Health Information Seeking: A Review and Meta-Analysis

Online health information, as an emerging field in health communication research, has attracted close attention from researchers. To identify major determinants of why individuals seek health information online, we conducted a meta-analysis that systematically accumulates the existing research findings. To that end, by integrating three theories or models for examining information-seeking behavior, we developed a theoretical framework for the current meta-analysis that emphasizing psychosocial, instrumental, contextual, and demographic factors. By analyzing the effect sizes from 44 articles representing 54 empirical samples, we found that the quality, trustworthiness, and utility of online health information were the dominant predictors of seeking it and that instrumental factors were more important than psychological ones in determining whether individuals did so. Moreover, the development of information and communication technology, the sampling method, and the type of information sought significantly moderated pairwise relationships between determinants and seeking behavior, whereas culture did not. Herein, we discuss the theoretical implications of our findings as well as directions for future research.