Use of, Preferences for, and Expectations Regarding Personal Health Records among People Affected by Cancer: Results of a LIVESTRONG Survey and the 2008 Health Information National Trends Survey

2012 ◽  
Author(s):  
Ellen Burke Beckjord ◽  
Ruth Rechis ◽  
Bradford W. Hesse
Keyword(s):  
Health Information ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
National Trends

Intention-Behavior Gap in the Use of Personal Health Records (PHRs)

2021 ◽  
Vol 13 (1) ◽  
pp. 18-35
Author(s):  
Younsook Yeo ◽  
Changsoo Sohn
Keyword(s):  
Health Information ◽  
Social Factors ◽  
Structural Equation ◽  
Personal Health Records ◽  
Equation Modeling ◽  
Future Research ◽  
Personal Health ◽  
Perceived Behavioral Control ◽  
Health Records ◽  
Actual Use

This paper examined an intention-behavior gap in individuals' personal health records (PHRs) adoption behaviors using Ajzen's theory of planned behavior (TPB) that incorporates social factors. Using structural equation modeling, the authors analyze the health information national trends survey data. The research found that all of the constructs, except for perceived behavioral control (PBC), shape intentions to use PHRs. However, PBC only predicts actual use. Individuals who have higher intentions tend to believe that healthcare providers should be able to share their patients' PHRs with other professionals and that scientists should be able to review de-identified patient PHRs. Individuals who perceive that a need exists for privacy control over their own health information tend to have higher intentions. The moderating social factors between intentions and actual behaviors are healthcare accessibility and being female, while education (positively) and employment (negatively) have significant relationships with actual use of, but not with intentions to use, PHRs. Future research needs to explicate why the moderating effect revolves around gender.

Personal Health Records Status-Quo and Future Perspectives

2010 ◽  
pp. 43-63
Author(s):  
Simon Y. Liu,
Keyword(s):  
Health Care ◽  
Health Information ◽  
Personal Health Record ◽  
Full Range ◽  
Personal Health Records ◽  
Controlled Vocabulary ◽  
Care Process ◽  
Personal Health ◽  
Health Records ◽  
Access To Health

Consumers, industry, and government have recently focused attention on the potential of personal health records to empower patients in the health care process, improve patient-provider relationships, facilitate patient access to health information, and improve the quality of health care. A Personal Health Record (PHR) is a private and secure digital record that is created, managed, and owned by an individual, and contains the owner’s relevant health information. The benefits of PHRs have not yet been widely realized due to several significant challenges in their adoption, including the need for privacy, security, and interoperability, and the lack of accepted standards. Although many players in the healthcare arena are beginning to offer partial solutions, none have adequately addressed the full range of challenges. The adoption of PHRs can be significantly accelerated by the development of Open Source software that enables an individual to collect, create, organize, and manage his or her own private and secure PHR, using a standardized format and controlled vocabulary.

Personal Health Records Systems Go Mobile

2011 ◽  
pp. 750-772
Author(s):  
Phillip Olla ◽  
Joseph Tan
Keyword(s):  
Health Information ◽  
Mobile Device ◽  
Personal Health Record ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Record ◽  
Health Records ◽  
Extant Literature ◽  
The Past ◽  
Secure Environment

This chapter provides an overview of mobile personal health record (MPHR) systems. A Mobile personal health record is an eclectic application through which patients can access, manage, and share their health information from a mobile device in a private, confidential, and secure environment. Personal health records have evolved over the past three decades from a small card or booklet with immunizations recorded into fully functional mobile accessible portals, and it is the PHR evolution outside of the secure healthcare environment that is causing some concerns regarding privacy. Specifically, the chapter reviews the extant literature on critical evaluative components to be considered when assessing MPHR systems.

Consumer Support for Health Information Exchange and Personal Health Records: A Regional Health Information Organization Survey

2010 ◽  
Vol 36 (3) ◽  
pp. 1043-1052 ◽  
Author(s):  
Vaishali N. Patel ◽  
Rina V. Dhopeshwarkar ◽  
Alison Edwards ◽  
Yolanda Barrón ◽  
Jeffrey Sparenborg ◽  
...  
Keyword(s):  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Personal Health Records ◽  
Information Organization ◽  
Personal Health ◽  
Regional Health ◽  
Health Records

Enablers for Patients to Adopt Web-Based Personal Health Records (PHR)

2018 ◽  
pp. 1675-1688
Author(s):  
Changsoo Sohn ◽  
Younsook Yeo
Keyword(s):  
Value Of Information ◽  
Perceived Value ◽  
Personal Health Records ◽  
Personal Health ◽  
Privacy And Security ◽  
Health Records ◽  
Web Based ◽  
Information Trust ◽  
National Trends ◽  
Patients Perspective

This study analyzed what are enablers to adopt web-based Personal Health Records (PHR) from patients' perspective while many studies are conducted from providers' perspective. Patients may consider Perceived Value of Information, Perceived Worthwhileness of Searching, Privacy, Information Trust, and Security before adopting web-based PHR. By using HINTS (Health Information National Trends Survey), this study found out that Perceived Value of Information is the most critical enabler for patients to adopt web-based PHR. Privacy, Information Trust, and Security are also enablers to adopt web-based PHR. But, Perceived Worthwhileness of Searching is not statistically significant to explain adoption of web-based PHR. However, Perceived Value of Information is strong antecedent of Perceived Worthwhileness of Searching. Based on this study, patients are more likely to adopt web-based PHR when they realize that web-based PHR provides valuable and reliable information with protecting privacy and security.

Early Adopters of Apple Health Records at a Large Academic Medical Center: Results of a Cross-Sectional Survey Of Users (Preprint)

2021 ◽  
Author(s):  
Joshua Rolnick ◽  
Robin Ward ◽  
Gordon Tait ◽  
Neha Patel
Keyword(s):  
Health Information ◽  
Private Insurance ◽  
Academic Medical Center ◽  
White Male ◽  
Patient Characteristics ◽  
Personal Health Records ◽  
Ease Of Use ◽  
Personal Health ◽  
Health Records ◽  
Early Adopters

BACKGROUND Mobile applications offer a new approach to personal health records, internet-based tools for patients to consolidate and manage their health information. The University of Pennsylvania Health System (UPHS) was one of the first health systems to participate in Apple Health Records (AHR), a prominent example of this new generation of personal health records. OBJECTIVE To characterize early adoption of Apple Health Records among UPHS patients and understand user perspectives. METHODS An email-based survey with fixed answer, Likert scale, and open-ended questions was administered to all UPHS patients using Apple Health Records in the first 10 months of participation. Survey data linked to the UPHS electronic health record system was used to analyze responses. Multivariable logistic regression modeled the association of patient characteristics with user ratings. Content analysis was used to analyze open-ended questions. RESULTS At the time of the survey 1,458 patients had used AHR at least once. Mean age was 47.5 years, 66.3% were male, 70.9% were white, and 80.8% had private insurance. Response rate was 26%. 46.3% were very satisfied with AHR and 67.7% described it as very easy to use. The most commonly utilized features were lab results (82.9%), clinical vitals (67.5%), and medications (64.7%). No patient characteristics were associated with reporting high satisfaction or ease of use. Most common reason for using AHR was convenience/ease of use and 55% of users reported allowing no other apps to access their health information, citing privacy as one consideration. CONCLUSIONS Early adopters of Apple Health Records were demographically white, male, and privately insured. Convenience was an important facilitator and users were selective in which apps they allowed to access their health information.

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