When do older adults consider the internet? An exploratory study of benefit perception

2004 ◽  
Vol 3 (2) ◽  
Author(s):  
A.S. Melenhorst ◽  
D.G. Bouwhuis
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.


2020 ◽  
pp. 027243162097853
Author(s):  
J. Ortega-Barón ◽  
J. M. Machimbarrena ◽  
I. Montiel ◽  
S. Buelga ◽  
A. Basterra-González ◽  
...  

For the Z-Generation, the Internet has become a very important experimentation laboratory for the discovery and validation of their identity. Despite the importance of the process of building the self in the adolescent, there are hardly any validated instruments that measure the self online. The aim of this research was to design and validate the Brief Self Online Scale (SO-8). A total of 843 students (384 boys, 45.6%), with an age range of 10 to 14 years participated. Confirmatory factor analysis (CFA) confirmed the hypothesized model of two correlated factors (Online Self-Perception and Online Idealized Projection), previously obtained through exploratory factor analysis (EFA). The reliability coefficients of Self Online dimensions were adequate. Indicators of convergent validity were obtained, finding significant correlations with self-concept, problematic Internet use, and online emotional intelligence. The SO-8 has adequate psychometric properties to be considered a reliable and valid tool to measure the construct of the Self Online in adolescents.


2000 ◽  
Vol 2 (4) ◽  
pp. 253-264 ◽  
Author(s):  
Luvai Motiwalla ◽  
Steven Tello

2011 ◽  
Vol 74 (11) ◽  
pp. 509-516 ◽  
Author(s):  
Clare Hocking ◽  
Juanita Murphy ◽  
Kirk Reed

Aim: This exploratory study aimed to uncover the strategies that older adults employ to ameliorate the impact of impairments and barriers to participation. Method: Eight participants were interviewed in their own homes, in a town or city in New Zealand. Findings: Inductive analysis of data revealed four main categories of strategies: strategies to keep safe, to recruit and accept help, to meet social and biological needs (nutritional and medical), and to conserve financial, material and bodily resources. Discussion: The study supports some previous findings of strategies used by older people, and demonstrates that enquiring into the strategies that older people devise and adopt into their own lives is a productive line of inquiry. The strategies described differ from those that occupational therapists recommend, and do not incorporate public health messages about the benefits of physical activity or recommendations about falls prevention. Conclusion: The findings suggest that asking older clients about the strategies that they use will uncover valuable information for therapists giving advice or issuing equipment to help older adults to manage in the community.


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.


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