Chang SJ, et al. Korean J Adult Nurs. 2018 Oct;30(5):504-515. https://doi.org/10.7475/kjan.2018.30.5.504

The purpose of the current study was to compare the factors associated with adults' eHealth literacy, which is vital for health consumers. A secondary data analysis was conducted with data collected from November 2017 to February 2018 for a project on the development of a Korean version of the eHealth Literacy Scale. Participants were recruited through an online survey for young adults ( n = 210, mean age = 25.5 [ SD = 4.7] years) and a face-to-face survey for older adults ( n = 187, mean age = 73.2 [ SD = 4.8] years). Hierarchical multiple regression analyses were used to analyze data and determine eHealth literacy predictors. Older adults held more positive attitudes toward internet health information than young adults (mean = 16.49 [ SD = 2.54] and 17.04 [ SD = 2.41], respectively; p = 0.029); however, eHealth literacy levels were comparable (mean = 30.50 [ SD = 4.62] and 30.95 [ SD = 4.17], respectively; p = 0.305). Attitude toward internet health information was a significant predictor of eHealth literacy in both groups, and age was only a predictor among young adults. These results elucidate predictors of eHealth literacy and inform strategies to improve eHealth literacy among young and older adults. [ Journal of Gerontological Nursing, 46 (8), 46–56.]

Background: The Internet is considered an important channel for providing health information to older adults. We developed an intervention to improve eHealth literacy in older adults according to the information-motivation-behavioral skills (IMB) theory and Intervention Mapping. This study aimed to analyze the effect of a developed intervention on information, motivation, behavioral skills, and behaviors related to eHealth information in older adults. Methods: Forty-six older adults over the age of 65 were recruited from two senior welfare centers in a city in South Korea. We divided the participants into four groups and conducted one intervention per group from March to December 2019. One intervention consisted of 5 sessions and was performed once a week (2 h/1 time) for 5 weeks, culminating in a total lecture time of 10 h. One lecture instructor and two assistant instructors supported the participants in the computer practices. Results: Participants’ computer/web knowledge, perceived ease of use, perceived enjoyment, and attitude toward eHealth information showed statistically significant increases. The eHealth literacy efficacy score, searching performance score, and understanding score were also significantly increased. However, there was no significant difference in perceived usefulness. Conclusion: The application of the current theory-based methodology can improve the quality of research in eHealth literacy. Additionally, various interventions should be developed and continuously applied to improve eHealth literacy among older adults.

Background: The preferred devices to access the internet are changing from personal computers to mobile devices, and the number of older adults with or without disabilities is rapidly increasing in an aging society. However, little is known about the moderating effects of disability on mobile internet use among older adults. Objective: This study aimed to examine the levels of mobile internet use and factors associated with this use among older adults according to their disabilities. In addition, moderating effects of disability on mobile internet use were investigated. Methods: This study consisted of a secondary data analysis using the 2020 Digital Divide Survey conducted in South Korea. The single inclusion criterion was participants being aged 55 years or older; accordingly, 2243 people without disabilities and 1386 people with disabilities were included in the study. Multiple regression analyses considering complex sample designs were conducted to identify mobile internet use factors and to test the moderating effects of disability on mobile internet use. Results: Older adults with disabilities used mobile internet less than older adults without disabilities. However, disability status had moderating effects on the relationships between mobile internet use and (1) operational skills regarding mobile devices (B=0.31, P=.004), (2) internet use skills (B=1.46, P<.001), (3) motivation to use digital devices (B=0.46, P=.01), and (4) attitude toward new technology (B=0.50, P=.002). The results revealed that these positive relationships were stronger among older adults with disabilities than among adults without disabilities. Conclusions: Although older adults and people with disabilities are considered vulnerable populations regarding technology adoption, disability creates a stronger association between several determinants and actual mobile internet use. Therefore, policy makers and practitioners should pay attention to older adults with disabilities to deliver appropriate information-literacy education. Older adults with disabilities could be the primary beneficiaries of mobile services and new technology.