Examining the decision to use standalone personal health record systems as a trust-enabled fair social contract

The Mobile Privacy-Security Knowledge Gap Model: Understanding Behaviors

“…Prior research suggests that older adults are less likely to be comfortable and knowledgeable about new technologies [77], suggesting that "the use of privacy tools on social network sites is not randomly distributed among users," and "some individuals' information and reputations may be more at risk than others" (p. 1650). Similarly, Li, Gupta, Zhang and Sarathy [78] suggest that some age groups are better able to take advantage of privacy tools to protect their privacy than others. Age may therefore impact privacy concerns and the resulting interest that individuals may have in protecting themselves.…”

“…Some studies have included covariates to reflect the thought that the digital divide may impact individuals' privacy or security protection intentions or practices. For example, individual characteristics found to impact willingness to share information include education [33] and age [78]. Age and education have also been found to affect concern for information privacy [26].…”

Suitability of Fast Healthcare Interoperability Resources (FHIR) for Wellness Data

“…Although patient managed wellness data and PHR have been discussed in research studies, its adoption in the real world is limited. There are several reasons for this such as interoperability issues, uncertainty of the quality of health data from patients, trustworthiness of wellness data from patients and possible information overload as patients generate too much data [2] [3]. This research study attempts to address the interoperability issues.…”

Health in exchange for privacy : the adoption of personalised nutrition advices

“…In addition, our findings identify factors that determine perceptions of privacy risk and personalisation benefit in the health domain. Consistent with the Information Science and Systems literature, perceptions of privacy risk were determined by the extent to which individuals perceived to have control over the disclosed personal information (Cheung, Lee, & Chan, 2015;Krasnova, Spiekermann, Koroleva, & Hildebrand, 2010;H. Li et al, 2014) and the extent to which they perceived the disclosed personal information to be intrusive (Dinev et al, 2013;Kehr et al, 2015).…”

“…Although privacy laws and policies give individuals a clear idea on how their personal information will be managed after disclosure and who will be able to access it, privacy laws and policies cannot guarantee that the disclosed information will stay out of the hands of unauthorised third parties. Hence, even if information is stored correctly and security measures are in place, individuals continue to have privacy concerns (Anton, Earp, & Young, 2010) which makes them consider potential privacy risks (Kehr, Kowatsch, Wentzel, & Fleisch, 2015;H. Li, Gupta, Zhang, & Sarathy, 2014) when adopting personalised nutrition advice.…”