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Factors Associated With Willingness to Share Health Information: Rapid Review
information
Stakeholder use of health information
Health information type and amount
Patient engagement with health information
Patient concern with data security and privacy
Patient control over data
Income and willingness to share health information
Ethnicity and willingness to share health information
Patients concern with data privacy and security
Stakeholder use of health information
Mode of access to health information
Age and willingness to share health information
Engagement with IT and interest in PHR
JMIR Hum Factors 2022;9(1):e20702
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We expect this to be the case for PHR technologies. The following two hypotheses related to technology awareness were tested in our research model:
H3: Favorable subjective norms pertaining to the use of PHR technologies have a positive effect on technology awareness of PHRs.
H4: Greater technology awareness of PHR technologies has a positive effect on the perceived usefulness of PHRs.
JMIR Med Inform 2021;9(9):e30322
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The PHR is similar to the EHR except that patients set up, access, and manage the record themselves (patient-moderated) instead of this being done by the physicians involved in their care [22]. Accordingly, patients maintain data sovereignty. PHRs often lack integration with patients’ EMRs and EHRs (Figure 3); therefore, patients have to manually enter or upload all data they want to include in their PHR.
JMIR Form Res 2021;5(9):e13790
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Literature selection procedure
PHR working definition
Functional utility model of PHR technologies
Functional utility model of PHR technologies
PHR consumer value framework
Value propositions and benefits of PHR systems
a RQ: research question.
b HIT: health information technology.
c PHR: personal health record.
Our academic article search was conducted using digital library databases, including Pub Med, Web of Science, Science Direct, and Scopus.
J Med Internet Res 2021;23(4):e26877
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Chi-squared analyses were conducted by gender to describe distributions of demographic information, risk behaviors, STI testing talk attitudes and practices, and perceptions of electronic PHR–facilitated discussions by gender. Effect size (Cohen d) was calculated for variables demonstrating significant differences by gender related to electronic PHR impacts on discussions.
JMIR Med Inform 2018;6(3):e41
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