Barriers to learning a new technology to go online among older adults during the COVID-19 pandemic

被引:36
作者
Li, Weixin [1 ]
Ornstein, Katherine A. [2 ]
Li, Yan [3 ,4 ]
Liu, Bian [3 ]
机构
[1] Icahn Sch Med Mt Sinai, Grad Sch Biomed Sci, New York, NY 10029 USA
[2] Icahn Sch Med Mt Sinai, Dept Geriatr & Palliat Med, New York, NY 10029 USA
[3] Icahn Sch Med Mt Sinai, Dept Populat Hlth Sci & Policy, New York, NY 10029 USA
[4] Icahn Sch Med Mt Sinai, 4Dept Obstet Gynecol & Reprod Sci, New York, NY 10029 USA
关键词
barriers; COVID-19; information and communication technology (ICT); learn a new technology; older adults; ANXIETY;
D O I
10.1111/jgs.17433
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background The coronavirus disease 2019 (COVID-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 COVID-19 pandemic. Results Our sample represented 23,547,688 older adults nationally, of which the majority (60.2%) increased ICT use during the COVID-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 self-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 COVID-19 pandemic and in the future.
引用
收藏
页码:3051 / 3057
页数:7
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