Designing Technology Training for Older Adults in Continuing Care Retirement Communities

Cotten, Shelia R.; Yost, Elizabeth A.; Berkowsky, Ronald W.; Winstead, Vicki; Anderson, William A.

doi:10.1201/9781315382463

Cited by 39 publications

(40 citation statements)

References 41 publications

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“…While ICT use has potential ramifications for maintaining social contact, data on ICT use in LTCFs remain rare, with a handful of notable exceptions ( Berkowsky et al, 2015 ; Cotten et al, 2017 ; Francis et al, 2019 ; Rikard et al, 2018 ; Seifert et al, 2017 ). For example, Seifert et al (2017) have shown that 14% of retirement home residents used the internet.…”

Section: Ict Use In Ltcfsmentioning

confidence: 99%

“…Given their declining health conditions that often necessitate movement into LTCFs ( Cotten et al, 2017 ), added to their lower likelihood of being ICT users, older adults in LTCFs are particularly vulnerable to social exclusion. A combination of co-morbidities and manifestations of the double burden of exclusion could exacerbate COVID-19’s impacts on older adults in LTCFs.…”

Section: Ict Use In Ltcfsmentioning

confidence: 99%

“…As noted above, various countries globally still have significant numbers of older adults who lack access to or have skills to use ICTs. Technology developers and retailers must determine ways to decrease the costs of ICTs, and to make them easier to use for older adults and others who may not be technologically savvy ( Cotten et al, 2017 ; Robinson et al, 2020 ). Older adults’ special learning needs ( Czaja et al, 2019 ), as well as their skills, must be considered in the design of various technologies.…”

Section: Enhancing Social and Digital Participationmentioning

confidence: 99%

See 2 more Smart Citations

A Double Burden of Exclusion? Digital and Social Exclusion of Older Adults in Times of COVID-19

Seifert

Cotten

Xie

2020

The Journals of Gerontology: Series B

358

232

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The COVID-19 pandemic has excluded older adults from a society based on physical social contact. Vulnerable populations like older adults also tend to be excluded from digital services because they opt not to use the internet, lack necessary devices and network connectivity, or inexperience using the technology. Older adults who are frail and are not online, many of whom are in long-term care facilities, struggle with the double burden of social and digital exclusion. This paper discusses the potential outcomes of this exclusion and provides recommendations for rectifying the situation, with a particular focus on older adults in long-term care facilities.

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Section: Ict Use In Ltcfsmentioning

confidence: 99%

Section: Ict Use In Ltcfsmentioning

confidence: 99%

Section: Enhancing Social and Digital Participationmentioning

confidence: 99%

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A Double Burden of Exclusion? Digital and Social Exclusion of Older Adults in Times of COVID-19

Seifert

Cotten

Xie

2020

The Journals of Gerontology: Series B

358

232

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“…Barriers to technology adoption include a lack of awareness, access, skills, and experience ( Hargittai, 2002 ), insufficient training ( Cotten, Yost, Berkowsky, Winstead, & Anderson, 2016 ; Czaja & Sharit, 2013 ), decreased confidence in ability to use the technology ( Czaja et al, 2006 ; Siren & Knudsen, 2017 ), and physical/cognitive declines ( Cotten et al, 2016 ; Czaja & Sharit, 2013 ; Hanson, 2010 ). However, these barriers do not fully explain why older adults may be less willing to adopt technologies.…”

mentioning

confidence: 99%

Factors Predicting Decisions About Technology Adoption Among Older Adults

Berkowsky

Sharit

Czaja

2017

Innovation in Aging

195

131

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Background and ObjectivesNumerous technology applications are available that have the potential to improve the quality of life (QoL) of older adults. However, older adults are less likely to adopt new and emerging technologies and reap the potential benefits. This study examines factors that influence older adults’ decisions about the adoption of new technology.Research Design and MethodsFifty-two older adults participated in a mixed-method procedure, which entailed: (1) observing presentations detailing nine differing technologies, (2) assessing the technologies using tailored questionnaires, and (3) participating in focus group discussions. Participants were assigned into one of seven groups separated by age (65–74, 75+) and language (English, Spanish). The outcome was willingness to adopt technology. Predictors included self-assessed abilities (e.g., numeric ability), computer/Internet skills and knowledge, technology readiness, age, language, and technology ratings (e.g., perceived value). Analyses included Spearman’s ρ, t-tests, and regression analysis. Focus group discussions were examined for supportive examples.ResultsSelf-assessed abilities and computer/Internet skills were predictive of willingness to adopt technologies although the relationship varied according to the technology examined. Technology readiness, age, and language group showed weak associations with the outcome. Of the technology ratings, perceived value, confidence in ability to learn the technology, and the perceived impact on QoL were the most robust predictors of willingness to adopt technology.Discussion and ImplicationsFindings indicate that various stakeholders in technology adoption among older adults must be cognizant of a technology’s functionality and complexity as well as the characteristics and abilities of older adults. However, certain factors such as perceptions about the value of the technology and potential impact on QoL are also critically important to decisions regarding technology adoption among older people.

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“…Over the last 10 years, the AAL program has focused on improving the well-being of older adults through the use of adapted digital technology. The AAL forum also attracts potential investors and buyers looking for commercially viable solutions (Cotten et al, 2016;Siegel and Dorner, 2017). Since 2008, the smart elderly care industry in the United States has been committed to bridging the digital divide between technology and health care so that people can live healthier lives.…”

Section: Introductionmentioning

confidence: 99%

Opportunities and Challenges for Chinese Elderly Care Industry in Smart Environment Based on Occupants’ Needs and Preferences

Meng

Hong

et al. 2020

Front. Psychol.

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New developments in intelligent devices for assisting elderly people can provide elders with friendly, mutual, and personalized interactions. Since the intelligent devices should continually make an important contribution to the smart elderly care industry, smart services or policies for the elders are recently provided by a large number of government programs in China. At present, the smart elderly care industry in China has attracted numerous investors' attention, but the smart elderly care industry in China is still at the beginning stage. Though there are great opportunities in the market, many challenges and limitations still need to be solved. This study analyzes 198 news reports about opportunities and challenges in the smart elderly care industry from six major Chinese portals. The analysis is mainly based on needs assessment for elderly people, service providers, and the Chinese government. It is concluded that smart elderly care services satisfy the elders' mental wants and that needs for improving modernization services are the most frequently mentioned opportunities. Also, the frequently mentioned challenges behind opportunities are intelligent products not being able to solve the just-needed, user-consumption concept and the ability to pay, which is the most frequently mentioned challenge. The results of this study will enable stakeholders in the smart elderly care industry to clarify the opportunities and challenges faced by smart elderly care services in China's development process and provide a theoretical basis for better decision making.

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Designing Technology Training for Older Adults in Continuing Care Retirement Communities

Cited by 39 publications

References 41 publications

A Double Burden of Exclusion? Digital and Social Exclusion of Older Adults in Times of COVID-19

A Double Burden of Exclusion? Digital and Social Exclusion of Older Adults in Times of COVID-19

Factors Predicting Decisions About Technology Adoption Among Older Adults

Opportunities and Challenges for Chinese Elderly Care Industry in Smart Environment Based on Occupants’ Needs and Preferences

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