scholarly journals Human-Technology Interaction Factors Associated with the Use of Electronic Personal Health Records Among Younger and Older Adults: A Secondary Data Analysis (Preprint)

10.2196/27966 ◽  
2021 ◽  
Author(s):  
Yan Luo ◽  
Krystal Dozier ◽  
Carin Ikenberg
Keyword(s):  
Older Adults ◽  
Data Analysis ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Factors Associated ◽  
Electronic Personal Health Records ◽  
Interaction Factors

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

2017 ◽  
Vol 19 (6) ◽  
pp. e188 ◽  
Author(s):  
Alexandra J Greenberg ◽  
Angela L Falisi ◽  
Lila J Finney Rutten ◽  
Wen-Ying Sylvia Chou ◽  
Vaishali Patel ◽  
...  
Keyword(s):  
Data Analysis ◽  
Chronic Conditions ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Personal Health Records ◽  
Personal Health ◽  
Multiple Chronic Conditions ◽  
Health Records ◽  
Electronic Personal Health Records

scholarly journals Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

10.2196/12373 ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. e12373 ◽  
Author(s):  
Alaa Abd-Alrazaq ◽  
Bridgette M Bewick ◽  
Tracey Farragher ◽  
Peter Gardner
Keyword(s):  
Personal Health Records ◽  
Equation Modeling ◽  
Personal Health ◽  
Successful Implementation ◽  
Cross Sectional ◽  
Health Records ◽  
Factors Affecting ◽  
Factors Associated ◽  
Electronic Personal Health Records ◽  
The Relationship

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.

The Home-Delivered Meals Program: A Promising Intervention for Suburban Older Adults Living Alone

2015 ◽  
Vol 16 (4) ◽  
pp. 195-202 ◽  
Author(s):  
Kyongweon Lee ◽  
Lisa Raiz
Keyword(s):  
Older Adults ◽  
Data Analysis ◽  
Client Satisfaction ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Cook County ◽  
Living Alone ◽  
Satisfaction Survey ◽  
Financial Security ◽  
Perceived Benefits

This study examined differences in perceived benefits of home-delivered meals between older adults living alone and those living with others. Recommendations were also discussed to enhance services by examining differences between these two subgroups. This study used secondary data analysis focusing on two open-ended questions that were collected in a client satisfaction survey conducted by AgeOptions, the Area Agency on Aging (AAA) in suburban Cook County, Illinois. Out of 199 older adults or their caregivers who participated in the survey, 126 (63.3%) older adults were living alone. All of the survey participants shared their perception of home-delivered meals benefits, and 91 respondents (45.7%) offered recommendations on the program. The results suggest that there is a greater need for transportation options, financial security, regular safety checks, and basic support for older adults who live alone compared to those living with others. The most frequent recommendation from all older adults was increasing the variety of meal options. Older adults living alone complained less about taste and the way meals were cooked than older adults living with others, but they requested availability of meals customized for those with unique needs. Additionally, older adults living alone offered a wider range of recommendations for the program as well as identify more diverse benefits from the program than those living with others.

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