Evidence map›Paper›PMID 34608821›Full record

ArticleJournal of applied gerontology : the official journal of the Southern Gerontological Society2022

Telehealth Use Among Older Adults During COVID-19: Associations With Sociodemographic and Health Characteristics, Technology Device Ownership, and Technology Learning.

Namkee G Choi, Diana M DiNitto, C Nathan Marti, Bryan Y Choi

Abstract read
In one paragraph

Article in Journal of applied gerontology : the official journal of the Southern Gerontological Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

114 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  17. Digital Health Divides: Telehealth Equity in a Global Context-A Narrative Review with an Israeli Case Study.Health care analysis : HCA : journal of health philosophy and policy · 2026
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54 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Namkee G ChoiSteve Hicks School of Social Work, 12330University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-8382-1191
Diana M DiNittoSteve Hicks School of Social Work, 12330University of Texas at Austin, Austin, TX, USA.
C Nathan MartiSteve Hicks School of Social Work, 12330University of Texas at Austin, Austin, TX, USA.
Bryan Y ChoiDepartment of Emergency Medicine, 6556Philadelphia College of Osteopathic Medicine & Bay Health, Dover, DE, USA.

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Program Development and Pilot CoreP30AG066614 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI KAREN L FINGERMAN · 2020 to 2026
$5.2M
NIA NIH HHS P30 AG066614NIA NIH HHS U01 AG032947
6 · The paper itself

Abstract

The COVID-19 pandemic ushered in rapid telehealth/telemedicine adoption. In this study, we (1) examined rates and correlates of telehealth (video call) use among those aged 70+, and (2) tested the significance of access to information and communication technology (ICT) device ownership and knowledge of how to use the internet and devices as telehealth-enabling factors. The Behavioral Model of Health Services Use served as the conceptual framework, and data came from the COVID-19 supplemental survey of the National Health and Aging Trend Study. Results show that telehealth use increased to 21.1% from 4.6% pre-pandemic. In logistic regression models without technology-enabling factors, older age and lower income were negatively associated with telehealth use; however, when technology-enabling factors were included, they were significant while age and income were no longer significant. Insuring that older adults have ICT devices and internet access may reduce health disparities and improve telehealth care delivery.

Indexed as

COVID-19TelemedicineAgedHumansOwnershipPandemicsSARS-CoV-2TechnologyCOVID-19information and communication technologylow-income older adultstechnology learningtelehealth

Identifiers

PMID34608821
PMCPMC8847316

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.