Older Adults Online in the Internet Century

Keyword(s):  
2020 ◽  
Author(s):  
Victoria Kordovski ◽  
Savanna M. Tierney ◽  
Samina Rahman ◽  
Luis D. Medina ◽  
Michelle A. Babicz ◽  
...  

Objective: Searching the Internet for health-related information is a complex and dynamic goal-oriented process that places demands on executive functions, which are higher-order cognitive abilities that are known to deteriorate with older age. This study aimed to examine the effects of older age on electronic health (eHealth) search behavior, and to determine whether executive functions played a mediating role in that regard. Method: Fifty younger adults (≤ 35 years) and 41 older adults (≥50 years) completed naturalistic eHealth search tasks involving fact-finding (Fact Search) and symptom diagnosis (Symptom Search), a neurocognitive battery, and a series of questionnaires. Results: Multiple regression models with relevant covariates revealed that older adults were slower and less accurate than younger adults on the eHealth Fact Search task, but not on the eHealth Symptom Search task. Nevertheless, executive functions mediated the relationship between older age and eHealth Fact Search and Symptom Search accuracy. Conclusions: Older adults can experience difficulty searching the Internet for some health-related information, which is at least partly attributable to executive dysfunction. Future studies are needed to determine the benefits of training in the organizational and strategic aspects of Internet search for older adults and whether these findings are applicable to clinical populations with executive dysfunction.


2021 ◽  
Author(s):  
Kelsey Ufholz ◽  
Amy Sheon ◽  
Daksh Bhargava ◽  
Goutham Rao

BACKGROUND Since the COVID-19 pandemic, telemedicine appointments have replaced many in-person healthcare visits [1 2]. However, older people are less likely to participate in telemedicine, preferring either in-person care or foregoing care altogether [3-6]. With a high prevalence of chronic conditions and vulnerability to COVID-19 morbidity and mortality through exposure to others in health care environments, (1-4), promoting telemedicine use should be a high priority for seniors. Seniors face significant barriers to participation in telemedicine, including lower internet and device access and skills, and visual, auditory, and tactile difficulties with telemedicine. OBJECTIVE Hoping to offer training to increase telemedicine use, we undertook a quality improvement survey to identify barriers to, and facilitators of telemedicine among seniors presenting to an outpatient family medicine teaching clinic which serves predominantly African American, economically disadvantaged adults with chronic illness in Cleveland, Ohio. METHODS Our survey, designated by the IRB as quality improvement, was designed based on a review of the literature, and input from our primary care providers and a digital equity expert (Figure 1). To minimize patient burden, the survey was limited to 10 questions. Because we were interested in technology barriers, data were collected on paper rather than a tablet or computer, with a research assistant available to read the survey questions. Patients presenting with needs that could be accomplished remotely were approached by a research assistant to complete the survey starting February 2021 until we reached the pre-determined sample size (N=30) in June 2021. Patients with known dementia, those who normally resident in a long-term care facility, and those presenting with an acute condition (e.g. fall or COPD exacerbation) were ineligible. Because of the small number of respondents, only univariate and bivariate tabulations were performed, in Excel. RESULTS 83% of respondents said they had devices that could be used for a telemedicine visit and that they went on the internet, but just 23% had had telemedicine visits. Few patients had advanced devices (iPhones, desktops, laptops or tablets); 46% had only a single device that was not IOS based mobile (Table 1). All participants with devices said they used them for “messaging on the internet,” but this was the only function used by 40%. No one used the internet for banking, shopping, and few used internet functions commonly needed for telemedicine (23.3% had email; 30% did video calling) (Table 1). 23.3% of respondents had had a telemedicine appointment. Many reported a loss of connection to their doctor as a concern. Participants who owned a computer or iPhone used their devices for a broader range of tasks, (Table 2 and 3), were aged 65-70 (Table 4), and were more likely to have had a telemedicine visit and to have more favorable views of telemedicine (Table 2). Respondents who had not had a telemedicine appointment endorsed a greater number of telemedicine disadvantages and endorsed less interest in future appointments (Table 2). Respondents who did not own an internet-capable device did not report using any internet functions and none had had a telemedicine appointment (Table 2). CONCLUSIONS This small survey revealed significant gaps in telemedicine readiness among seniors who said they had devices that could be used for telemedicine and that they went online themselves. No patients used key internet functions needed for staying safe during COVID, and few used internet applications that required skills needed for telemedicine. Few patients had devices that are optimal for seniors using telemedicine. Patients with more advanced devices used more internet functions and had more telemedicine experience and more favorable attitudes than others. Our results confirm previous studies [7-9] showing generally lower technological proficiency among older adults and some concerns about participating in telemedicine. However, our study is novel in pointing to subtle dimensions of telemedicine readiness that warrant further study—device capacity and use of internet in ways that build skills needed for telemedicine such as email and video calling. Before training seniors to use telemedicine, it’s important to ensure that they have the devices, basic digital skills and connectivity needed for telemedicine. Larger studies are needed to confirm our results and apply multivariate analysis to understand the relationships among age, device quality, internet skills and telemedicine attitudes. Development of validated scales of telemedicine readiness and telemedicine training to complement in-person care can help health systems offer precision-matched interventions to address barriers, facilitate increased adoption, and generally improve patients’ overall access to primary care and engagement with their primary care provider.


2021 ◽  
Author(s):  
Kyoung-Eun Lee ◽  
Sun Ju Chang ◽  
Eunjin Yang ◽  
Hyunju Ryu

BACKGROUND The Internet use rate of older adults, who were considered underprivileged in the digital world, is steadily increasing. Specifically, the Internet is considered an important channel for providing health information to older adults, who are the largest consumers of medical services. However, due to factors such as technical difficulties, lack of learning opportunities, and deterioration of eHealth literacy, the Internet is not usually a common factor of delivering health information to older adults. Therefore, we developed an intervention program to improve eHealth literacy in older adults according to the information-motivation-behavioral skills (IMB) theory and Intervention Mapping. OBJECTIVE This study aimed to analyze the effect of developed intervention on information, motivation, behavioral skills, and behaviors related to eHealth information in older adults. METHODS This study applied a single group pretest–posttest design. The participants were 46 older adults over the age of 65 recruited from two senior welfare centers in a city in South Korea. We divided the participants into 4 groups and conducted 4 interventions in the computer room of the Senior Welfare Center from March to December 2019. One intervention was performed once a week (2 hours/1 time) for 5 weeks, and the total lecture time was 10 hours. The instructors were all researchers involved in the development of this intervention, and the instructors for each intervention consisted of one lecture instructor and two assistant instructors who supported the participants in the computer practices. RESULTS Participants’computer/web knowledge (χ²= 60.04, P <.001), perceived ease of use (χ²= 17.86, P <.001), perceived enjoyment (χ²= 23.06, P <.001), and attitude toward eHealth information (χ²= 18.47, P <.001) showed statistically significant increases. The eHealth information literacy efficacy score (χ²= 72.76, P< .001), searching performance score (χ²= 162.57, P < .001), and understanding score (χ²= 60.96, P< .001) were also significantly different from those before and after the intervention. However, there was no significant difference in perceived usefulness (χ²= 5.91, P = .052). CONCLUSIONS Our findings suggest that the application of the current theory based methodology can improve the quality of research in developing eHealth information literacy interventions. Additionally, it is necessary to develop and continuously apply various interventions to improve eHealth information literacy among older adults. Finally, measures to improve the Internet environment for older adults should be considered.


10.2196/15099 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15099 ◽  
Author(s):  
Winja Weber ◽  
Anne Reinhardt ◽  
Constanze Rossmann

Background As a result of demographic changes, the number of people aged 60 years and older has been increasing steadily. Therefore, older adults have become more important as a target group for health communication efforts. Various studies show that online health information sources have gained importance among younger adults, but we know little about the health-related internet use of senior citizens in general and in particular about the variables explaining their online health-related information–seeking behavior. Media use studies indicate that in addition to sociodemographic variables, lifestyle factors might play a role in this context. Objective The aim of this study was to examine older people’s health-related internet use. Our study focused on the explanatory potential of lifestyle types over and above sociodemographic variables to predict older adults’ internet use for health information. Methods A telephone survey was conducted with a random sample of German adults aged 60 years and older (n=701) that was quota-allocated by gender, age, educational status, and degree of urbanity of their place of residence. Results The results revealed that participants used the internet infrequently (mean 1.82 [SD 1.07]), and medical personnel (mean 2.89 [SD 1.11]), family and friends (mean 2.86 [SD 1.21]), and health brochures (mean 2.85 [SD 1.21]) were their main sources of health information. A hierarchical cluster analysis based on values, interests, and leisure time activities revealed three different lifestyle types for adults aged over 60 years: the Sociable Adventurer, the Average Family Person, and the Uninterested Inactive. After adding these types as second-step predictors in a hierarchical regression model with sociodemographic variables (step 1), the explained variance increased significantly (R2=.02, P=.001), indicating that the Average Family Person and the Sociable Adventurer use the internet more often for health information than the Uninterested Inactive, over and above their sociodemographic attributes. Conclusions Our findings indicate that the internet still plays only a minor role in the health information–seeking behavior of older German adults. Nevertheless, there are subgroups including younger, more active, down-to-earth and family-oriented males that may be reached with online health information. Our findings suggest that lifestyle types should be taken into account when predicting health-related internet use behavior.


2022 ◽  
Author(s):  
Teaghan Pryor ◽  
Kristin Reynolds ◽  
Paige Kirby ◽  
Matthew Bernstein

BACKGROUND The Internet can increase the accessibility of mental health information and improve the mental health literacy of older adults. The quality of mental health information on the Internet can be inaccurate or biased, leading to misinformation OBJECTIVE This study’s objectives were to evaluate the quality, usability, and readability of websites providing information concerning depression in later life. METHODS Websites were identified through a Google search, and evaluated by assessing quality (DISCERN), usability (Patient Education Materials Assessment Tool; PEMAT) and readability (Simple Measure of Gobbledygook; SMOG). RESULTS The overall quality of late-life depression websites (N = 19) was moderate, usability was low, and readability was poor. No significant relationship was found between quality and readability of websites. CONCLUSIONS Websites can be improved by enhancing information quality, usability, and readability related to late-life depression. The use of high-quality websites may improve mental health literacy and shared treatment decision-making for older adults.


2021 ◽  
Vol 28 (5) ◽  
pp. 1-32
Author(s):  
Nora Mcdonald ◽  
Helena M. Mentis

Designing technologies that support the cybersecurity of older adults with memory concerns involves wrestling with an uncomfortable paradox between surveillance and independence and the close collaboration of couples. This research captures the interactions between older adult couples where one or both have memory concerns—a primary feature of cognitive decline—as they make decisions on how to safeguard their online activities using a Safety Setting probe we designed, and over the course of several informal interviews and a diary study. Throughout, couples demonstrated a collaborative mentality to which we apply a frame of citizenship in opensource collaboration, specifically (a) histories of participation , (b) lower barriers to participation, and (c) maintaining ongoing contribution. In this metaphor of collaborative enterprise, one partner (or member of the couple) may be the service provider and the other may be the participant, but at varying moments, they may switch roles while still maintaining a collaborative focus on preserving shared assets and freedom on the internet. We conclude with a discussion of what this service provider-contributor mentality means for empowerment through citizenship, and implications for vulnerable populations’ cybersecurity.


Author(s):  
Yiwei Chen ◽  
Bob Lee ◽  
Robert M. Kirk

Older adults (65 and above) are the fastest growing population to use computers and the Internet in their everyday lives. The primary purpose of this chapter is to use a Lifespan Developmental Perspective to examine both the constraints and the opportunities of Internet use among older adults. Given age-related changes in physical, cognitive, and socio-emotional processes, older adults may encounter different constraints in Internet use from younger adults. The Selective Optimization with Compensation model is used to explore opportunities for older adults in using the Internet to improve quality of life. Future product designs and training programs should take into account older adults’ physical and cognitive limitations, as well as their socio-emotional needs. It is also recommended that social policies should help older adults overcome these constraints in order to reduce age-related digital divide and promote quality of life for older adults.


2012 ◽  
pp. 608-619 ◽  
Author(s):  
Elizabeth Mazur ◽  
Margaret L. Signorella ◽  
Michelle Hough

Early research on older adult computer users focused on the possibility for technology to increase social interaction and alleviate loneliness. Subsequent research has been equivocal on the possible benefits of the Internet for well-being. Nonetheless, in spite of an initial “gray gap,” older adults are increasingly joining younger cohorts in using the Internet. Barriers to older adults’ use of the Internet remain, such as physical and cognitive limitations. Attitudinal barriers may exist, but it is unclear whether these result from lack of experience or differences in income or health status. Business researchers have found that older persons differ from other age groups in their Internet engagement patterns, including online buying. Future research directions include whether computers can improve cognitive functioning and quality of life, how to increase engagement levels, and if there will always be a lag in technology use among older adults.


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