Author: Li, Weixin; Ornstein, Katherine A.; Li, Yan; Liu, Bian
Title: Barriers to learning a new technology to go online among older adults during the COVIDâ€19 pandemic Cord-id: kt0qxruk Document date: 2021_8_29
ID: kt0qxruk
Snippet: BACKGROUND: The coronavirus disease 2019 (COVIDâ€19) pandemic has highlighted the importance of using information and communication technology (ICT) to address daily and healthcare needs. The barriers for older adults in the United States to learn a new technology to go online during the pandemic remain to be studied. METHODS: Using data from the 2019–2020 National Health and Aging Trends Study (NHATS), a nationally representative survey of older Medicare beneficiaries aged 65 years and older
Document: BACKGROUND: The coronavirus disease 2019 (COVIDâ€19) pandemic has highlighted the importance of using information and communication technology (ICT) to address daily and healthcare needs. The barriers for older adults in the United States to learn a new technology to go online during the pandemic remain to be studied. METHODS: Using data from the 2019–2020 National Health and Aging Trends Study (NHATS), a nationally representative survey of older Medicare beneficiaries aged 65 years and older in the United States, we used multivariable logistic regression models to identify sociodemographic and clinical factors associated with learning a new technology to go online during the COVIDâ€19 pandemic. RESULTS: Our sample represented 23,547,688 older adults nationally, of which the majority (60.2%) increased ICT use during the COVIDâ€19 pandemic. However, most older adults (71.8%) did not report learning a new technology to go online. Those who did not learn a new technology to go online had less of an increase in ICT use than those who learned either with help or by themselves (50.7% vs. 78.4% or 89.2% respectively, p < 0.01). The odds of learning a new technology decreased with increasing age (aOR [95%CI] = 0.96 [0.94–0.98]), being male (aOR [95%CI] = 0.56 [0.45–0.72]), having lower than high school educational attainment (aOR [95%CI] = 0.38 [0.29–0.50]), decreasing income levels (aORs ranged from 0.28 to 0.54), and selfâ€reported fair or poor general health (aOR [95%CI] = 0.65 [0.47–0.90]). CONCLUSION: The identified sociodemographic and clinical factors could inform targeted intervention strategies to improve ICT use among older adults during the evolving COVIDâ€19 pandemic and in the future.
Search related documents:
Co phrase search for related documents- additional analysis and lung disease: 1, 2
- low income and lung disease: 1, 2, 3, 4, 5
- low socioeconomic status and lung disease: 1, 2
Co phrase search for related documents, hyperlinks ordered by date