Background An 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. Objective The 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). Methods We 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. Results The 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). Conclusions This 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.

Developing programs to assist youth who are transitioning from foster care to college is key to their success. Although the number of campus programs that serve youth from foster care has grown over the past 10 years, the number of pre-college programs has not grown at the same pace. Universities are in a unique position to create pre-college programs to serve youth from foster care. Building strong community collaborative partnerships can assist pre-college programs in developing program components to address the needs of youth transitioning from foster care into college. Using an interorganizational community-based collaborative framework, this article will discuss key components to building a successful collaborative. The National Social Work Enrichment Program will be highlighted as an example of the pre-college program model.

No abstract

No abstract

BACKGROUND An electronic personal health record (ePHR), also known as a personal health record (PHR), was 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 healthcare providers, the use of ePHRs among individuals continues to remain low. The relationship between age and ePHRs use has been documented in previous studies, which indicated younger age was related to higher ePHRs use, and patients who are younger were more likely to use ePHRs. OBJECTIVE The current study aims to examine the relationship between human-technology interaction factors and ePHRs use among adults, and then compare the different effects of human-technology interaction factors on ePHRs use between younger adults (18-54 years old) and older adults (55 years of age and over). METHODS We analyzed the from the Health Information National Trends Survey (HINTS5, Cycle 3) collected from U.S. adults aged 18 years old and over in 2019. Descriptive analysis was conducted for all variables and each item of ePHRs use. Bivariate tests (Pearson test for categorical variable and F-test for continuous variables) were conducted over four age groups. Lastly, adjusting for socio-demographics and healthcare resources, a weighted multiple linear regression was conducted to examine the relationship between human-technology interaction factors and ePHRs use. RESULTS The final sample size was 1,363 and divided into two age groups: 18-54 years old and 55 years of age and older. The average level of ePHRs use was low (Mean=2.76, range=0-8). There is no significant difference on average ePHRs use between two age groups. Including clinical notes was positively related to ePHRs use in both groups: 18-54 years old (beta=0.28, P<0.01), 55 years old and above (beta=0.15, P<0.01). While accessing ePHRs using a smartphone app was only associated with ePHRs use among younger adults (beta=0.29, P<0.001), ease to understand health information in ePHRs was positively linked to ePHRs use only among older adults (beta=0.13, P<0.01). CONCLUSIONS This study found that including clinical notes was positively related to ePHRs 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 ePHRs use among younger adults while ease of understanding health information in ePHRs was linked to higher ePHRs use among older adults. The design of ePHRs should provide the option of being accessible through mobile devices to promote greater ePHRs use among young people. For older adults, providers could add additional notes to explain health information recorded in the ePHRs.