Evidence map›Paper›PMID 40356828›Full record

ArticleFrontiers in public health2025

Multilevel factors influencing eHealth adoption among older adults during the pandemic.

BoRin Kim, Chung Hyeon Jeong, Emily Blood, Sajay Arthanat, Marguerite Corvini, Casey Golomski, John Wilcox

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

BoRin KimDepartment of Social Work, University of New Hampshire, Durham, NH, United States.
Chung Hyeon JeongDepartment of Social Work, University of New Hampshire, Durham, NH, United States.
Emily BloodDepartment of Social Work, University of New Hampshire, Durham, NH, United States.
Sajay ArthanatDepartment of Occupational Therapy, University of New Hampshire, Durham, NH, United States.
Marguerite CorviniCenter for Digital Health Innovation, University of New Hampshire, Durham, NH, United States.
Casey GolomskiDepartment of Anthropology, University of New Hampshire, Durham, NH, United States.
John WilcoxDepartment of Occupational Therapy, University of New Hampshire, Durham, NH, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: While eHealth became prevalent in healthcare during the pandemic, eHealth adoption by older adults has been slow. This digital divide could lead to worsening health and healthcare disparities. Guided by the push-pull-mooring perspective, this study explored factors influencing eHealth adoption among older adults. Methods: Semi-structured virtual interviews were conducted in 2021 with 31 older adults with healthcare needs. Interviews were thematically coded and analyzed using constant comparative methods. Results: We found the pandemic to be a powerful push factor that forced older adults to adopt eHealth along with several pull factors that attracted older adults to use eHealth. A number of mooring factors that made older adults hesitant to adopt eHealth were identified: limited knowledge or skills on eHealth, security concerns, limited technology access, and peer influence. Discussions: Our findings indicate areas to increase productive use of eHealth within older populations, such as education or support within social networks.

Indexed as

COVID-19PandemicsTelemedicineAgedAged, 80 and overFemaleHumansInterviews as TopicMaleMiddle AgedQualitative Researchehealth adoptionmooring factorsmultilevelpull factorspush factorsqualitative research

Identifiers

PMID40356828
PMCPMC12066280

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.