Evidence map›Paper›PMID 36881528›Full record

ArticleJMIR aging2023

Pandemic-Related Changes in Technology Use Among a Sample of Previously Hospitalized Older Adult New Yorkers: Observational Study.

Brittany F Drazich, Ji Won Lee, Kathryn H Bowles, Janiece L Taylor, Shivani Shah, Barbara Resnick, Nayeon Kim, Sarah L Szanton

Abstract read
In one paragraph

Article in JMIR aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Brittany F DrazichSchool of Nursing, University of Maryland, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-0111-6868
Ji Won LeeSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-8680-8673
Kathryn H BowlesSchool of Nursing, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0001-7740-5725
Janiece L TaylorSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-7431-6591
Shivani ShahCenter for Home Care Policy & Research, VNS Heath, New York City, NY, United States.ORCID https://orcid.org/0009-0000-0609-8203
Barbara ResnickSchool of Nursing, University of Maryland, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-2839-5783
Nayeon KimSchool of Nursing, University of Maryland, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-1969-5132
Sarah L SzantonSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-5418-4982

Funding

Reducing disability following hospital discharge in vulnerable older adults: the CAPABLE interventionR01AG056607 · NIA · JOHNS HOPKINS UNIVERSITY · PI SZANTON, SARAH L · 2017 to 2021
$3.2M
NIA NIH HHS R01 AG056607
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic increased the importance of technology for all Americans, including older adults. Although a few studies have indicated that older adults might have increased their technology use during the COVID-19 pandemic, further research is needed to confirm these findings, especially among different populations, and using validated surveys. In particular, research on changes in technology use among previously hospitalized community-dwelling older adults, especially those with physical disability, is needed because older adults with multimorbidity and hospital associated deconditioning were a population greatly impacted by COVID-19 and related distancing measures. Obtaining knowledge regarding previously hospitalized older adults' technology use, before and during the pandemic, could inform the appropriateness of technology-based interventions for vulnerable older adults.

objectiveIn this paper, we 1) described changes in older adult technology-based communication, technology-based phone use, and technology-based gaming during the COVID-19 pandemic, compared to before the COVID-19 pandemic and 2) tested whether technology use moderated the association between changes in in-person visits and well-being, controlling for covariates.

methodsBetween December 2020 and January 2021 we conducted a telephone-based objective survey with 60 previously hospitalized older New Yorkers with physical disability. We measured technology-based communication through three questions pulled from the National Health and Aging Trends Study COVID-19 Questionnaire. We measured technology-based smart phone use and technology-based video gaming through the Media Technology Usage and Attitudes Scale. We used paired t tests and interaction models to analyze survey data.

resultsThis sample of previously hospitalized older adults with physical disability consisted of 60 participants, 63.3% of whom identified as female, 50.0% of whom identified as White, and 63.8% of whom reported an annual income of $25,000 or less. This sample had not had physical contact (such as friendly hug or kiss) for a median of 60 days and had not left their home for a median of 2 days. The majority of older adults from this study reported using the internet, owning smart phones, and nearly half learned a new technology during the pandemic. During the pandemic, this sample of older adults significantly increased their technology-based communication (mean difference=.74, P=.003), smart phone use (mean difference=2.9, P=.016), and technology-based gaming (mean difference=.52, P=.030). However, this technology use during the pandemic did not moderate the association between changes in in-person visits and well-being, controlling for covariates.

conclusionsThese study findings suggest that previously hospitalized older adults with physical disability are open to using or learning technology, but that technology use might not be able to replace in-person social interactions. Future research might explore the specific components of in-person visits that are missing in virtual interactions, and if they could be replicated in the virtual environment, or through other means.

Indexed as

COVID-19digital gamingdigital learningelderly populationolder adultsphysical disabilitysocial interactiontechnologytechnology usevirtual healthwell-being

Identifiers

PMID36881528
PMCPMC10131656

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LicenceCC BY
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Registered trials

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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.