How online health discussions make people perceive benefits?

Deng, Wei Hua; Lv, Pei; Yi, Ming

doi:10.1016/j.lisr.2022.101140

Cited by 5 publications

(4 citation statements)

References 47 publications

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“…Perceived benefits in mHealth describe the usefulness, advantages, and convenience that individuals experience in the process of using MHSP (Deng et al, 2022). Existing studies have found that the more perceived benefits, the lower the level of privacy concerns (Zhou and Liu, 2023).…”

Section: Privacy Calculus Theorymentioning

confidence: 99%

“…Existing studies have found that perceived benefits are a critical factor influencing privacy concerns and privacy paradox (Cherif et al, 2021;Fernandes and Costa, 2023;Zhou and Liu, 2023), while several variables such as health knowledge (Deng et al, 2022), immediate gratification (Cheng et al, 2021), and user satisfaction (Shim and Jo, 2020) have an important impact on perceived benefits. According to the social support theory (SST), social support includes many aspects such as informational support and emotional support (Leung et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Privacy paradox resolution in mHealth: the moderating effect of rationality degree

Zhu,

Li,

Yan

et al. 2023

JEIM

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PurposeThe collection and use of personal medical information for mobile health (mHealth) service raise significant privacy concerns. In this context, this study aims to explore the privacy paradox and its impact from the perspective of paradox resolution.Design/methodology/approachBased on social support theory and privacy calculus theory, this study first studies the effect of social support on perceived benefits, and explores the moderating effect of perceived health status on the privacy trade-off process. Secondly, the study examines the path of “privacy concerns – disclosure intention – disclosure behavior” to verify the existence of the privacy paradox. Following this, based on rational choice theory, the rationality degree is introduced as a moderating variable to investigate both its impact on the central route and the strength of this impact on the privacy paradox.FindingsEmpirical results show that informational support and emotional support influence perceived benefits significantly. Perceived benefits significantly influence privacy concerns, and perceived health status has a significant positive moderating effect. The authors further find that there is a privacy paradox within the mHealth context, and the privacy paradox is moderated negatively by rationality degree. The findings indicate that the impact strength of the privacy paradox will decrease with increases in rationality degree.Research limitations/implicationsThe findings indicate that it is crucial to evaluate the privacy paradox and its impact from the perspective of paradox resolution.Originality/valueThis study offers a complete comprehension of the privacy paradox in mHealth and provides several valuable recommendations for enhancing both mHealth services and privacy controls.

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Section: Privacy Calculus Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Privacy paradox resolution in mHealth: the moderating effect of rationality degree

Zhu,

Li,

Yan

et al. 2023

JEIM

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“…First, studying the formation mechanism of user interaction networks in ADOCs promotes the interaction between users in the community. It has also been shown to enhance the community participation and to encourage inexperienced users to take part [ 5 ]. Second, it supports community managers as they consider corresponding measures to improve user activity and promote the success and construction of the community.…”

Section: Introductionmentioning

confidence: 99%

Exploring the User Interaction Network in an Anxiety Disorder Online Community: An Exponential Random Graph Model with Topical and Emotional Effects

Liu

2022

IJERPH

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The increasing number of people with anxiety disorders presents challenges when gathering health information. Users in anxiety disorder online communities (ADOCs) share and obtain a variety of health information, such as treatment experience, drug efficacy, and emotional support. This interaction alleviates the difficulties involved in obtaining health information. Users engage in community interaction via posts, comments, and replies, which promotes the development of an online community as well as the wellbeing of community users, and research concerning the formation mechanism of the user interaction network in ADOCs could be beneficial to users. Taking the Anxiety Disorder Post Bar as the research object, this study constructed an ADOC user interaction network based on users’ posts, comments, and personal information data. With the help of exponential random graph models (ERGMs), we studied the effects of the network structure, user attributes, topics, and emotional intensity on user interaction networks. We found that there was significant reciprocity in the user interaction network in ADOCs. In terms of user attributes, gender homogeneity had no impact on the formation of the user interaction network. Experienced users in the community had obvious advantages, and experienced users could obtain replies more easily from other members. In terms of topics, pathology popularization showed obvious homogeneity, and symptoms of generalized anxiety disorder showed obvious heterogeneity. In terms of emotional intensity, users with polarized emotions were more likely to receive replies from users with positive emotions. The probability of interaction between two users with negative emotions was small, and users with opposite emotional polarity tended to interact, especially when the interaction was initiated by users with positive emotions.

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“…This can lead to an increase in health knowledge and preventive health behaviors, improve self-management of health and well-being, early detection of serious problems, and provide a better understanding of disease management. [ 6 ] Nevertheless, the risks of seeking health information on the internet are more serious. Misinformation can lead to delays in the prevention, diagnosis, and treatment of diseases; increased costs; and increased anxiety due to incorrect information.…”

Section: Introductionmentioning

confidence: 99%

An examination of cyberchondria’s relationship with trait anxiety and psychological well-being in women of reproductive age: A cross-sectional study

Sezer

Başoğlu²,

Dağdeviren

2022

Medicine

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Online environments have become the main sources of health-related information. However, if used incorrectly, this can decrease the level of well-being. Cyberchondria corresponds to the hypochondria in the digital age. We aimed to investigate the relationship between cyberchondria and trait anxiety, psychological well-being, and other factors in women of reproductive age. This study used a descriptive cross-sectional design. Face-to-face questionnaires were administered to women aged 18 to 49. The sample size was formed and stratified according to the population of the 47 family health centers to reflect the entire population. The questionnaire included a sociodemographic information form, the Cyberchondria Severity Scale (CSS), the State-Trait Anxiety Inventory, and the Psychological Well-Being Scale (PWBS). This study included 422 participants. The average daily use of the Internet was 2.14 ± 1.837 hours, while that of social media was 2.69 ± 2.027 hours. The mean CSS score was 89.42 ± 21.688; the mean trait anxiety score was 44.34 ± 8.791, and the mean PWBS score was 324.26 ± 35.944. Factors that interacted with the level of cyberchondria were the trait anxiety score, PWBS score, alcohol consumption, and average daily use of the internet and social media. Increased online time, alcohol consumption, trait anxiety levels, and psychological well-being increase cyberchondria levels. Improvements must be made in the accuracy of online information, which is unsupervised and easily accessible to society as a source of information. Future studies should focus on the prevention, detection, and treatment of cyberchondriasis. Identifying and improving the factors affecting women’s and mothers’ cyberchondria will also increase the chances of providing primary protection against certain diseases.

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How online health discussions make people perceive benefits?

Cited by 5 publications

References 47 publications

Privacy paradox resolution in mHealth: the moderating effect of rationality degree

Privacy paradox resolution in mHealth: the moderating effect of rationality degree

Exploring the User Interaction Network in an Anxiety Disorder Online Community: An Exponential Random Graph Model with Topical and Emotional Effects

An examination of cyberchondria’s relationship with trait anxiety and psychological well-being in women of reproductive age: A cross-sectional study

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