Usability and perceived usefulness of Personal Health Records for preventive health care: a case study focusing on patients' and primary care providers' perspectives
Department of Information Systems, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA. Electronic address: .Applied ergonomics (Impact Factor: 2.02). 10/2013; 45(3). DOI: 10.1016/j.apergo.2013.09.005
Personal Health Records (PHR) are electronic applications for individuals to access, manage and share their health information in a secure environment. The goal of this study was to evaluate the usefulness and usability of a Web-based PHR technology aimed at improving preventive care, from both the patients' and primary care providers' perspectives. We conducted a multi-method descriptive study that included direct observations, concurrent think-aloud, surveys, interviews and focus groups in a suburban primary care clinic. Patients found the tailored health recommendations useful and the PHR easy to understand and use. They also reported asking useful health-related questions to their physicians because of using the system. Generally, care providers were interested in using the system due to its useful content and impact on patient activation. Future successful systems should be better integrated with hospital records; put more emphasis on system security; and offer more tailored health information based on comprehensive health databases.
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ABSTRACT: Personal health records (PHRs), in contrast to electronic health records (EHRs) or electronic medical records (EMRs), are health records in which data are accessible to patients and not just providers. In recent years, many systems have enabled PHRs to be available in a mobile format. Mobile PHRs (mPHRs) allow patients to access health information via the Internet or telecommunication devices, such as mobile phones, personal digital assistants, and tablet computers. mPHRs have the potential to help patients and providers identify medical conditions and prescriptions from numerous locations, which may minimize medical errors and identify improvements to health behaviors during emergencies, when patients present to a new provider, or EHRs are not accessible. Despite their benefits, numerous challenges inhibit the adoption and further development of mPHRs, including integration into overall health technology infrastructure and legal and security concerns. This paper identifies the benefits of mPHRs during emergencies and the remaining challenges impeding full adoption and use, and provides recommendations to federal agencies to enhance support and use of mPHRs.03/2014; 2(1):e8. DOI:10.2196/mhealth.3017
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ABSTRACT: Nurses promote self-care and active participation of individuals in managing their health care, yet little is known about their own use of electronic personal health records (ePHRs). The purpose of this study was to examine factors associated with ePHR use by nurses for their own health management. A total of 664 registered nurses working in 12 hospitals in the Maryland and Washington DC area participated in an online survey from December 2013 to January 2014. Multiple logistic regression models identified factors associated with ePHR use. More than a third (41%; 95% confidence interval [CI], 0.37-0.44) of the respondents were ePHR users. There was no variation between ePHR users and nonusers by demographic or job-related information. However, ePHR users were more likely to be active health care consumers (i.e., have a chronic medical condition and take prescribed medications; odds ratio [OR] = 1.64; 95% CI, 1.06-2.53) and have health care providers who used electronic health records for care (OR = 3.62; 95% CI, 2.45-5.36). Nurses were proactive in managing their chronic medical conditions and prescribed medication use with ePHRs. ePHR use by nurses can be facilitated by increasing use of electronic health records. Published by Elsevier Inc. The following personal article link, which will provide free access to the article until July 3, 2015: http://authors.elsevier.com/a/1R1LY6lYmQjGNNursing outlook 05/2015; 63(3):278-87. DOI:10.1016/j.outlook.2014.11.013 · 1.59 Impact Factor
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ABSTRACT: To our knowledge, no evidence is available on health care professionals' use of electronic personal health records (ePHRs) for their health management. We therefore focused on nurses' personal use of ePHRs using a modified technology acceptance model. To examine (1) the psychometric properties of the ePHR acceptance model, (2) the associations of perceived usefulness, ease of use, data privacy and security protection, and perception of self as health-promoting role models to nurses' own ePHR use, and (3) the moderating influences of age, chronic illness and medication use, and providers' use of electronic health record (EHRs) on the associations between the ePHR acceptance constructs and ePHR use. A convenience sample of registered nurses, those working in one of 12 hospitals in the Maryland and Washington, DC areas and members of the nursing informatics community (AMIA and HIMSS), were invited to respond to an anonymous online survey; 847 responded. Multiple logistic regression identified associations between the model constructs and ePHR use, and the moderating effect. Overall, ePHRs were used by 47%. Sufficient reliability for all scales was found. Three constructs were significantly related to nurses' own ePHR use after adjusting for covariates: usefulness, data privacy and security protection, and health-promoting role model. Nurses with providers that used EHRs who perceived a higher level of data privacy and security protection had greater odds of ePHR use than those whose providers did not use EHRs. Older nurses with a higher self-perception as health-promoting role models had greater odds of ePHR use than younger nurses. Nurses who use ePHRs for their personal health might promote adoption by the general public by serving as health-promoting role models. They can contribute to improvements in patient education and ePHR design, and serve as crucial resources when working with their individual patients.Applied Clinical Informatics 07/2015; 6(2):224-247. DOI:10.4338/ACI-2014-11-RA-0107 · 0.39 Impact Factor
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