Use Of ePHRs Research Articles

DIFFICULTY IN USABILITY OF ELECTRONIC PERSONAL HEALTH RECORD SYSTEMS FOR AN UNDERSERVED ELDERLY ADULT POPULATION

Objective: The objective of the current paper is to investigate the use of electronic patient records (E-PHRs) among elder people and those with low income. Elder population due to low awareness, literacy rate, low income level and lack of training and experience felt difficulty while assessing E-PHRs. Background: Use of PHRs has been increasing in healthcare organizations. Patients’ involvement in managing health has been crucial. However, scars and spars literature is available about use of PHRs in elderly people. Material and Methods: The nature of the current study is quantitative and nature of data is cross-sectional. Survey approach was used. Self-administered questionnaire was distributed among 30 elderly people. Questionnaire consists of two sections. First is about demographic information such as gender, age, literacy and second section are about awareness, lack of experience, training and resistance to new technology. Frequency, percentage, and mean values are calculated in SPSS. The reliability of the questionnaire was checked by Cronbach alpha. Results: Findings indicated that highest mean value is scores by lack of experience followed by resistance to new technology. Moreover all the constructs met the threshold for reliability. Conclusion: It is concluded that hospital administration focus on training on elderly population. Motivate them to use new technology, make it user friendly and raise awareness about using E-PHRs and its benefits. Practical Implications: This study has practical implications for health practitioners, policy makers and ministry of health. Policy makers cannot ignore the importance of E-PHRs while making policy. Budget is required for training, raising awareness and motivating elderly population to use E-PHRs but it has long term benefits in future. Both health care professionals and patients can take benefits from use of E-PHRs.

Impact of Using Online Health Management Tools on Patient Perception of Healthcare Quality: A Multiple Chronic Conditions and Generational Perspective

While access and adoption issues related to online health management tools (OHMT) have been studied in healthcare contexts, questions remain about whether and how their use impacts patients’ perceptions of healthcare. Drawing on technology affordance and media synchronicity frameworks, we explore how the existence of multiple chronic conditions (MCC) and differences in usage patterns due to a patient’s generation impact these relationships. Utilizing HINTS data, this study provides empirical support for a positive relationship between the utilization of electronic personal health records (e-PHRs) and healthcare quality perceptions, albeit with a caveat that patients with greater healthcare needs as well as millennial and younger generations do not seem to enjoy the same benefits from increased use of e-PHRs. Furthermore, asynchronous patient-provider electronic communication is yet to achieve positive perceptions of better healthcare quality for most users. This research bears implications for the personalization and customization of OHMT to account for variations in patient’s healthcare needs and usage patterns.

Human-Technology Interaction Factors Associated With the Use of Electronic Personal Health Records Among Younger and Older Adults: Secondary Data Analysis.

BackgroundAn electronic personal health record (ePHR), also known as a personal health record (PHR), has been broadly defined as an electronic application through which individuals can access, manage, and share their health information in a secure and confidential environment. Although ePHRs can benefit individuals as well as caregivers and health care providers, the use of ePHRs among individuals continues to remain low.ObjectiveThe current study aims to examine the relationship between human-technology interaction factors and ePHR use among adults and then to compare the different effects of human-technology interaction factors on ePHR use between younger adults (18-54 years old) and older adults (55 years of age and over).MethodsWe analyzed data from the Health Information National Trends Survey (HINTS 5 cycle 3) collected from US adults aged 18 years old and over in 2019. Descriptive analysis was conducted for all variables and each item of ePHR use. Bivariate tests (Pearson correlation coefficient for categorical variable and F test for continuous variables) were conducted over 2 age groups. Finally, after adjustments were made for sociodemographics and health care resources, a weighted multiple linear regression was conducted to examine the relationship between human-technology interaction factors and ePHR use.ResultsThe final sample size of 1363 (average age 51.19) was divided into 2 age groups: 18 to 54 years old and 55 years old and older. The average level of ePHR use was low (mean 2.76, range 0-8). There was no significant difference in average ePHR use between the 2 age groups. Including clinical notes was positively related to ePHR use in both groups: 18 to 54 years old (β=.28, P=.005), 55 years old and older (β=.15, P=.006). Although accessing ePHRs using a smartphone app was only associated with ePHR use among younger adults (β=.29; P<.001), ease of understanding health information in ePHRs was positively linked to ePHR use only among older adults (β=.13; P=.003).ConclusionsThis study found that including clinical notes was positively related to ePHR use in both age groups, which suggested that including clinical notes as a part of ePHRs might improve the effective use of ePHRs among patients. Moreover, accessing ePHRs using a smartphone app was associated with higher ePHR use among younger adults while ease of understanding health information in ePHRs was linked to higher ePHR use among older adults. The design of ePHRs should provide the option of being accessible through mobile devices to promote greater ePHR use among young people. For older adults, providers could add additional notes to explain the health information recorded in the ePHRs.

Patients' Perspectives About Factors Affecting Their Use of Electronic Personal Health Records in England: Qualitative Analysis.

BackgroundGeneral practices (GPs) in England have recently introduced a nationwide electronic personal health record (ePHR) system called Patient Online or GP online services, which allows patients to view parts of their medical records, book appointments, and request prescription refills. Although this system is free of charge, its adoption rates are low. To improve patients’ adoption and implementation success of the system, it is important to understand the factors affecting their use of the system.ObjectiveThe aim of this study is to explore patients’ perspectives of factors affecting their use of ePHRs in England.MethodsA cross-sectional survey was carried out between August 21 and September 26, 2017. A questionnaire was used in this survey to collect mainly quantitative data through closed-ended questions in addition to qualitative data through an open-ended question. A convenience sample was recruited in 4 GPs in West Yorkshire, England. Given that the quantitative data were analyzed in a previous study, we analyzed the qualitative data using thematic analysis.ResultsOf the 800 eligible patients invited to participate in the survey, 624 (78.0%) returned a fully completed questionnaire. Of those returned questionnaires, the open-ended question was answered by 136/624 (21.8%) participants. A total of 2 meta-themes emerged from participants’ responses. The first meta-theme comprises 5 themes about why patients do not use Patient Online: concerns about using Patient Online, lack of awareness of Patient Online, challenges regarding internet and computers, perceived characteristics of nonusers, and preference for personal contact. The second meta-theme contains 1 theme about why patients use Patient Online: encouraging features of Patient Online.ConclusionsThe challenges and concerns that impede the use of Patient Online seem to be of greater importance than the facilitators that encourage its use. There are practical considerations that, if incorporated into the system, are likely to improve its adoption rate: Patient Online should be useful, easy to use, secure, and easy to access. Different channels should be used to increase the awareness of the system, and GPs should ease registration with the system and provide manuals, training sessions, and technical support. More research is needed to assess the effect of the new factors found in this study (eg, lack of trust, difficulty registering with Patient Online) and factors affecting the continuing use of the system.

Patients' Adoption of Electronic Personal Health Records in England: Secondary Data Analysis.

BackgroundIn England, almost all general practices (GPs) have implemented GP online services such as electronic personal health records (ePHRs) that allow people to schedule appointments, request repeat prescriptions, and access parts of their medical records. The overall adoption rate of GP online services has been low, reaching just 28% in October 2019. In a previous study, Abd-Alrazaq et al adopted a model to assess the factors that influence patients’ use of GP online services in England. According to the previous literature, the predictive power of the Abd-Alrazaq model could be improved by proposing new associations between the existing variables in the model.ObjectiveThis study aims to improve the predictive power of the Abd-Alrazaq model by proposing new relationships between the existing variables in the model.MethodsThe Abd-Alrazaq model was amended by proposing new direct, mediating, moderating, and moderated mediating effects. The amended model was examined using data from a previous study, which were collected by a cross-sectional survey of a convenience sample of 4 GPs in West Yorkshire, England. Structural equation modeling was used to examine the theoretical model and hypotheses.ResultsThe new model accounted for 53% of the variance in performance expectancy (PE), 76% of the variance in behavioral intention (BI), and 49% of the variance in use behavior (UB). In addition to the significant associations found in the previous study, this study found that social influence (SI) and facilitating conditions (FCs) are associated with PE directly and BI indirectly through PE. The association between BI and UB was stronger for younger women with higher levels of education, income, and internet access. The indirect effects of effort expectancy (EE), perceived privacy and security (PPS), and SI on BI were statistically stronger for women without internet access, patients with internet access, and patients without internet access, respectively. The indirect effect of PPS on BI was stronger for patients with college education or diploma than for those with secondary school education and lower, whereas the indirect effect of EE on BI was stronger for patients with secondary school education or lower than for those with college education or a diploma.ConclusionsThe predictive power of the Abd-Alrazaq model improved by virtue of new significant associations that were not examined before in the context of ePHRs. Further studies are required to validate the new model in different contexts and to improve its predictive power by proposing new variables. The influential factors found in this study should be considered to improve patients’ use of ePHRs.

ELECTRONIC PERSONAL HEALTH RECORD USE AMONG ELDERLY CANCER SURVIVORS AND NON-CANCER SURVIVORS

Background Electronic personal health records (ePHRs) are potential tools to improve clinical outcomes through increasing patients’ self-management. Although elderly people, especially elderly cancer survivors, is a growing population who can benefit from ePHRs, little is known about its utilization among the elderly, particularly among those diagnosed with cancer. Objective By applying Anderson’s Behavioral Model of Health Services Use, this study aims to examine and compare the associated factors with ePHRs use among elderly cancer survivors and non-cancer survivors. Methods The data collected from the 2018 Health Information National Trends Survey (HINTS) was analyzed. The level of access to ePHRs among the elderly were assessed. Predictors of ePHRs use among elderly cancer survivors and non-cancer survivors were compared by conducting multiple linear regression. According to Anderson’s Model, predisposing factors, enabling factors, and need factors were included in the statistical model. Results The overall use of ePHRs remained low among 577 participants (mean = .87, SD = 1.72, range from 0 to 4). Non-Cancer survivors reported lower ePHRs use (mean = .83, SD = 1.77, range from 0 to 4). Race/ethnicity, education, regular health care providers, health insurance, social support, and medical conditions were associated with ePHRs use among non-cancer survivors, while age, gender, social support, and self-reported health status were related to ePHRs use among cancer survivors. Conclusion This study suggests additional efforts to increase ePHRs utilization among the elderly, especially the elderly cancer survivors. The predictive findings reported in this study will contribute valuable implications to enhance the ePHRs use.

Experiences of adult patients with chronic non-communicable disease using electronic personal health records for self-management: a qualitative systematic review protocol.

The objective of the systematic review is to explore adult patients' experiences using electronic personal health records (e-PHRs) for chronic non-communicable disease self-management. Self-management is a key component of chronic disease management. One of the strategies to support self-management in patients with chronic disease is the use of e-PHRs. Electronic personal health records offer patients the opportunity to actively engage with their own health information, promote continuity of care and collaboration through disease tracking, and provide patients and providers with an ongoing connection. To adopt e-PHRs and maximize any benefits for chronic disease management, they should align with patients' values and preferences. The review will include qualitative studies that explore the experiences of adult patients (aged 18 years and over) with a chronic non-communicable disease who have used e-PHR for the self-management of their condition. This review will consider studies conducted in any setting or country. The systematic review will be conducted in accordance with the JBI methodology for systematic reviews of qualitative evidence, with meta-aggregation as the method of synthesis. Published studies will be searched in CINAHL, PubMed, PsycINFO, Embase and Scopus. Gray literature will also be considered. Critical appraisal and data extraction will be conducted using the appropriate JBI tools. Extracted data will be aggregated and analyzed to produce a set of synthesized findings that can be used to develop evidence-informed recommendations for the use of e-PHRs in chronic disease self-management. PROSPERO CRD42019133301.

European Electronic Personal Health Records initiatives and vulnerable migrants: A need for greater ethical, legal and social safeguards

The effective collection and management of personal data of rapidly migrating populations is important for ensuring adequate healthcare and monitoring of a displaced peoples' health status. With developments in ICT data sharing capabilities, electronic personal health records (ePHRs) are increasingly replacing less transportable paper records. ePHRs offer further advantages of improving accuracy and completeness of information and seem tailored for rapidly displaced and mobile populations. Various emerging initiatives in Europe are seeking to develop migrant-centric ePHR responses. This paper highlights their importance and benefits, but also identifies a number of significant ethical, legal and social issues (ELSI) and challenges to their design and implementation, regarding (1) the kind of information that should be stored, (2) who should have access to information, and (3) potential misuse of information. These challenges need to be urgently addressed to make possible the beneficial use of ePHRs for vulnerable migrants in Europe.

Factors Affecting Patients' Use of Electronic Personal Health Records in England: Cross-Sectional Study.

BackgroundElectronic personal health records (ePHRs) are secure Web-based tools that enable individuals to access, manage, and share their medical records. England recently introduced a nationwide ePHR called Patient Online. As with ePHRs in other countries, adoption rates of Patient Online remain low. Understanding factors affecting patients’ ePHR use is important to increase adoption rates and improve the implementation success of ePHRs.ObjectiveThis study aimed to examine factors associated with patients’ use of ePHRs in England.MethodsThe unified theory of acceptance and use of technology was adapted to the use of ePHRs. To empirically examine the adapted model, a cross-sectional survey of a convenience sample was carried out in 4 general practices in West Yorkshire, England. Factors associated with the use of ePHRs were explored using structural equation modeling.ResultsOf 800 eligible patients invited to take part in the survey, 624 (78.0%) returned a valid questionnaire. Behavioral intention (BI) was significantly influenced by performance expectancy (PE; beta=.57, P<.001), effort expectancy (EE; beta=.16, P<.001), and perceived privacy and security (PPS; beta=.24, P<.001). The path from social influence to BI was not significant (beta=.03, P=.18). Facilitating conditions (FC) and BI significantly influenced use behavior (UB; beta=.25, P<.001 and beta=.53, P<.001, respectively). PE significantly mediated the effect of EE and PPS on BI (beta=.19, P<.001 and beta=.28, P=.001, respectively). Age significantly moderated 3 paths: PE→BI, EE→BI, and FC→UB. Sex significantly moderated only the relationship between PE and BI. A total of 2 paths were significantly moderated by education and internet access: EE→BI and FC→UB. Income moderated the relationship between FC and UB. The adapted model accounted for 51% of the variance in PE, 76% of the variance in BI, and 48% of the variance in UB.ConclusionsThis study identified the main factors that affect patients’ use of ePHRs in England, which should be taken into account for the successful implementation of these systems. For example, developers of ePHRs should involve patients in the process of designing the system to consider functions and features that fit patients’ preferences and skills to ensure systems are useful and easy to use. The proposed model accounted for 48% of the variance in UB, indicating the existence of other, as yet unidentified, factors that influence the adoption of ePHRs. Future studies should confirm the effect of the factors included in this model and identify additional factors.

Patient Portal Use and Experience Among Older Adults: Systematic Review.

BackgroundThe older adult population (65 years or older) in the United States is growing, and it is important for communities to consider ways to support the aging population. Patient portals and electronic personal health records (ePHRs) are technologies that could better serve populations with the highest health care needs, such as older adults.ObjectiveThe aim of this study was to assess the existing research landscape related to patient portal and ePHR use and experience among older adults and to understand the benefits and barriers to older adults’ use and adoption of patient portals and ePHRs.MethodsWe searched six pertinent bibliographic databases for papers, published from 2006 to 2016 and written in English, that focused on adults 60 years or older and their use of or experience with patient portals or ePHRs. We adapted preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines to review papers based on exclusion and inclusion criteria. We then applied thematic analysis to identify key themes around use, experience, and adoption.ResultsWe retrieved 199 papers after an initial screening and removal of duplicate papers. Then we applied an inclusion and exclusion criteria, resulting in a final set of 17 papers that focused on 15 separate projects. The majority of papers described studies involving qualitative research, including interviews and focus groups. They looked at the experience and use of ePHRs and patient portals. Overall, we found 2 main barriers to use: (1) privacy and security and (2) access to and ability to use technology and the Internet. We found 2 facilitators: (1) technical assistance and (2) family and provider advice. We also reported on older adults’ experience, including satisfaction with the system and improvement of the quality of their health care. Several studies captured features that older adults wanted from these systems such as further assistance managing health-related tasks and contextual health advice and tips.ConclusionsMore research is needed to better understand the patient portal experience among older adults from initial use to adoption. There are also opportunities to explore the role of design in addressing barriers and supporting facilitators to patient portal and ePHR use. Finally, the future use of these systems by older adults should be anticipated and considered in the design process.

Access to Electronic Personal Health Records Among Patients With Multiple Chronic Conditions: A Secondary Data Analysis.

BackgroundIn the United States, national incentives for offering access to electronic personal health records (ePHRs) through electronic means are geared toward creating a culture of patient engagement. One group of patients who stand to benefit from online access to ePHRs is the growing population with multiple chronic conditions (MCC). However, little is known about the current availability and use of ePHRs and patient portals among those managing MCC.ObjectiveThe aim was to determine the associations between number of chronic conditions and sociodemographic characteristics and usage of ePHRs, and to assess how the public’s use of ePHRs varies across subpopulations, including those with MCC.MethodsThis study used data collected from the 2014 Health Information National Trends Survey (HINTS), and assessed differences in use of ePHRs between those with and without MCC (N=3497) using multiple logistic regression techniques. Variables associated with health care systems (insurance status, having a regular provider) and patient-reported self-efficacy were included in the statistical models.ResultsThose with MCC (n=1555) had significantly higher odds of accessing their records three or more times in the past year compared to those reporting no chronic conditions (n=1050; OR 2.46, 95% CI 1.37-4.45), but the overall percentage of those with MCC using ePHRs remained low (371 of 1529 item respondents, 25.63% weighted). No difference in odds of accessing their records was found between those reporting one chronic condition (n=892) and those reporting none (n=1050; OR 1.02, 95% CI 0.66-1.58). Significant differences in odds of accessing ePHRs were seen between income and age groups (P<.001 and P=.05, respectively), and by whether respondents had a regular provider (P=.03).ConclusionsWe conclude that ePHRs provide a unique opportunity to enhance MCC patient self-management, but additional effort is needed to ensure that these patients are able to access their ePHRs. An increase in availability of patient access to their ePHRs may provide an opportunity to increase patient engagement and support self-management for all patients and especially those with MCC.

Testing the Electronic Personal Health Record Acceptance Model by Nurses for Managing Their Own Health: A Cross-sectional Survey.

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.