Patterns of Technology Use Among Older Adults With and Without Disabilities

Gell, Nancy; Rosenberg, Dori E.; Demiris, George; LaCroix, Andrea Z.; Patel, Kushang V.

doi:10.1093/geront/gnt166

Cited by 327 publications

(295 citation statements)

References 31 publications

(38 reference statements)

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“…[7][8][9] Vulnerable groups such as African-Americans or those with low socioeconomic status are less likely to use EMRs or patient portals, [9][10][11][12][13][14][15][16] in part because they are less likely to use the Internet at all. [17][18][19][20] Health literacy may also play an important role in determining whether elderly patients are willing and able to use EMRs and other Internet-based health tools. Surprisingly, given the substantial body of research that documents the importance of health literacy in health behaviors and outcomes, [21][22][23] it has been largely overlooked as a determinant of health IT use.…”

Section: Introductionmentioning

confidence: 99%

Health Literacy and the Digital Divide Among Older Americans

2014

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BACKGROUND: Among the requirements for meaningful use of electronic medical records (EMRs) is that patients must be able to interact online with information from their records. However, many older Americans may be unprepared to do this, particularly those with low levels of health literacy. OBJECTIVE: The purpose of the study was to quantify the relationship between health literacy and use of the Internet for obtaining health information among Americans aged 65 and older. DESIGN: We performed retrospective analysis of 2009 and 2010 data from the Health and Retirement Study, a longitudinal survey of a nationally representative sample of older Americans. PARTICIPANTS: Subjects were community-dwelling adults aged 65 years and older (824 individuals in the general population and 1,584 Internet users). MAIN MEASURES: Our analysis included measures of regular use of the Internet for any purpose and use of the Internet to obtain health or medical information; health literacy was measured using the Rapid Estimate of Adult Literacy in Medicine-Revised (REALM-R) and self-reported confidence filling out medical forms. KEY RESULTS: Only 9.7 % of elderly individuals with low health literacy used the Internet to obtain health information, compared with 31.9 % of those with adequate health literacy. This gradient persisted after controlling for sociodemographic characteristics, health status, and general cognitive ability. The gradient arose both because individuals with low health literacy were less likely to use the Internet at all (OR=0.36 [95 % CI 0.24 to 0.54]) and because, among those who did use the Internet, individuals with low health literacy were less likely to use it to get health or medical information (OR=0.60 [95 % CI 0.47 to 0.77]). CONCLUSION: Low health literacy is associated with significantly less use of the Internet for health information among Americans aged 65 and older. Webbased health interventions targeting older adults must address barriers to substantive use by individuals with low health literacy, or risk exacerbating the digital divide.

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Section: Introductionmentioning

confidence: 99%

Health Literacy and the Digital Divide Among Older Americans

2014

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“…Information and Communication Technologies (ICTs) are becoming very popular among people with cognitive disabilities and Autism Spectrum Disorder (ASD) [1,2]. Besides, they are excellent tools to help them in their daily life activities.…”

Section: Introductionmentioning

confidence: 99%

Mobile Devices as Assistive Technologies for ASD: Experiences in the Classroom

Roldán-Álvarez

Gómez

Márquez-Fernández

et al. 2016

Design, User Experience, and Usability: Novel User Experiences

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“…n the United States, approximately 7 million adults age 20 or older have experienced a stroke (Go et al, 2013). Annually, approximately 795,000 people sustain a new or recurrent stroke, the equivalent of one stroke every 40 s (Russo & Andrews, 2008).…”

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confidence: 99%

“…For the person sustaining a stroke, the functional impact can be profound. Stroke is the leading cause of serious long-term disability (Go et al, 2013), and resulting hemiparesis can lead to substantial problems with occupational performance, including activities of daily living (ADLs) and instrumental activities of daily living (IADLs).…”

mentioning

confidence: 99%

“…The Technology Acceptance Model (TAM; Davis, 1989) offers a powerful explanation of the relationship among client perception, behavioral preferences, sociodemographic factors, and system use (Davis, 1989;Fetscherin & Lattemann, 2008;Gell, Rosenberg, Demiris, Lacroix, & Patel, 2013). The model, which is based on the Theory of Reasoned Action (Fishbein & Ajzen, 1975), suggests that a person's actual behavior in using a system can be predicted by intention, referred to as behavioral intention to use (BIU).…”

mentioning

confidence: 99%

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Behavioral Intention to Use a Virtual Instrumental Activities of Daily Living System Among People With Stroke

Ellington

Adams

White

et al. 2015

The American Journal of Occupational Therapy

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OBJECTIVE. The purpose of this study was to investigate the behavioral intention to use (BIU) regarding a virtual system for practicing instrumental activities of daily living (IADLs) among people with stroke.METHOD. Fourteen people who had sustained a stroke used a virtual world-based system over four sessions to participate in virtual occupations of preparing meals and putting away groceries. To investigate intention to use the technology, participants responded to a questionnaire based on the Technology Acceptance Model and were interviewed about the experience.RESULTS. Analysis of questionnaire responses revealed favorable attitudes toward the technology and statistically significant correlations between these attitudes and positive BIU. Analysis of qualitative data revealed four themes to support system use: Use of the affected arm increased, the virtual practice was enjoyable, the technology was user-friendly, and the system reflected real-life activities.

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Patterns of Technology Use Among Older Adults With and Without Disabilities

Cited by 327 publications

References 31 publications

Health Literacy and the Digital Divide Among Older Americans

Health Literacy and the Digital Divide Among Older Americans

Mobile Devices as Assistive Technologies for ASD: Experiences in the Classroom

Behavioral Intention to Use a Virtual Instrumental Activities of Daily Living System Among People With Stroke

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