scholarly journals Privacy Concerns about Health Information Disclosure in mHealth: The Moderation Effect of Social Support (Preprint)

10.2196/19594 ◽  
2020 ◽  
Author(s):  
Yuanyuan Dang ◽  
Shanshan Guo ◽  
Xitong Guo
2020 ◽  
Author(s):  
Yuanyuan Dang ◽  
Shanshan Guo ◽  
Xitong Guo

BACKGROUND The mobile health (mHealth) provides a new opportunity for patients’ disease prediction and health self-management. At the same time, privacy problems in mHealth have brought forth significant attention concerning patients' online health information disclosure and hindered mHealth development. OBJECTIVE Privacy calculus theory (PCT) has been widely used to understand personal information disclosure behaviors with the basic assumption of a national and linear decision-making process. However, people’s cognitive behavior processes are complex and mutual. In attempting to close this knowledge gap, we further optimize the information disclosure model of patients based on PCT by identifying the mutual relationship between costs (privacy concerns) and benefits. Social support, which has been proved to be a distinct and significant disclosure benefit of mHealth, was chosen to be the representative benefit of information disclosure in mHealth. METHODS From an individual perspective, a structural equation model with privacy concerns, health information disclosure intention in mHealth, and social support from mHealth has been examined. RESULTS 253 randomly selected participants provided validated questionnaire. The result indicated that perceived health information sensitivity positively enhances the privacy concern (0.505, p<0.01), and higher privacy concern levels will decrease the health information disclosure intention (-0.338, p<0.01). Various aspects of individual characters influence perceived health information sensitivity in different ways. The informational support has a negatively moderate on reduce the positive effect between perceived health information sensitivity and privacy concerns (-0.171, p<0.1) and will decrease the negative effect between privacy concerns and health information disclosure intention(-0.105, p<0.1). However, emotional support has no directly moderate effect on both privacy concerns and health information disclosure intention. CONCLUSIONS The results indicate that social support can be regarded as a disutility reducer, that is, on the one hand, it reduces the privacy concerns of patients; on the other hand, it also reduces the negative impact of privacy concerns on information disclosure intention. Moreover, the moderate effect of social support is partially supported. Informational support, one demission of social support, is significant, while the other demission, emotional support, is not significant in mHealth. Furthermore, the results are different among patients with different individual characteristics. This study also provides specific theoretical and practical implications to enhance the development of mHealth.


2012 ◽  
Vol 25 (4) ◽  
Author(s):  
Tessa Haesevoets ◽  
Francine Dehue ◽  
Mieneke Pouwelse

Bullying at work: The relation with physical health complaints and the influence of social support Bullying at work: The relation with physical health complaints and the influence of social support This survey among Belgian employees (N = 497) investigated, starting from the Michigan Stress Model, the relationships among the amount of and satisfaction with social support, being bullied in the workplace, and physical health complaints. Hierarchical regression analyses confirmed that both person-related and work-related bullying influenced perceived health of victimized employees negatively. There was some evidence for a moderation effect of satisfaction with social support: victims of work-related bullying, who experienced a lack of social support from colleagues, reported more health problems. In addition, it was found that satisfaction with received social support from supervisors affected the relationship between being bullied and health complaints indirectly (i.e., mediation). No effects were found for the amount of received support. These results emphasize the need for future studies investigating the influence of satisfaction with received social support on victimized employees.


2020 ◽  
Vol 12 (23) ◽  
pp. 9889
Author(s):  
Md. Alamgir Hossain ◽  
Nusrat Jahan ◽  
Minho Kim

This study examines the antecedents of social commerce intention by conceptualizing a model that includes two exogenous variables; relationship quality and social support, and an endogenous variable; social commerce, along with a mediation effect of relationship quality and moderation effect of cultures. This research model is tested by survey data collected in the United States and Korea, analyzed by a structural equation model. The results reveal that relationship quality generates the social commerce intention through commitment, satisfaction and trust, and becomes a maiden study with its mediating effect on social commerce intention. Social commerce intention is highly representative of social sharing and social shopping on social media. The social support is measured through emotional and informational support, proving to be a stronger predictor of relationship quality and social commerce intention. In addition, social support articulates differences in respect to the cultural differences. The model offers valuable insights to researchers and practitioners that aims to improve social commerce intention.


2008 ◽  
Vol 4 (1) ◽  
pp. 50-59 ◽  
Author(s):  
Kamilah B. Thomas ◽  
Sean L. Simpson ◽  
Will L. Tarver ◽  
Clement K. Gwede

African American and White men have the highest rates of prostate cancer in the United States. Families represent important social contexts within which illness occurs.The purpose of this study is to explore whether prostate-specific antigen (PSA) testing is associated with instrumental and informational social support from family members among a sample of Black and White men aged 45 and older. Data from the 2005 Health Information National Trends Survey were analyzed using logistic regression. The dependent variable was having a PSA test within the past year or less. The independent variables consisted of selected demographic and family informational and instrumental social support variables. The statistically significant variables included age and having a family member with cancer. Additional studies to elucidate the mechanisms of social support from family for prostate cancer are needed.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jie Tang ◽  
Umair Akram ◽  
Wenjing Shi

PurposeMobile Applications (App) privacy has become a prominent social problem. Compared with privacy concerns, this study examines a relatively novel concept of privacy fatigue and explores its effect on the users’ intention to disclose their personal information via mobile Apps. In addition, the personality traits are proposed as antecedents that will induce the personal perception of privacy fatigue and privacy concerns differently.Design/methodology/approachData were collected from 426 respondents. Structure equation modeling was used to test the hypotheses.FindingsThe findings describe that App users’ intention toward personal information disclosure is determined by privacy fatigue and privacy concerns, but the former has a greater impact. With minor exceptions, the two factors are also influenced by different personality traits. Specifically, neuroticism has positive effects on privacy fatigue, but agreeableness and extraversion have presented the opposite results on the two variables.Practical implicationsThis research is very scarce to examine the joint effects of privacy fatigue, privacy concerns and personality traits on App users’ disclosing intention. In doing so, these results will be of benefit to App providers and platform managers and can be the basis for a variety of follow-up studies.Originality/valueWhile previous research just focuses on privacy concerns, this study explores the critical roles of privacy fatigue and opens up a new avenue of emotion-attitude analysis that can further increase the specificity and richness of users’ privacy research. Additionally, implications for personality traits as antecedents in the impact of App users’ privacy emotions and attitudes are discussed.


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