Evidence map›Paper›PMID 29742549›Full record

ArticleComputers, informatics, nursing : CIN2018

Facilitators of and Barriers to mHealth Adoption in Older Adults With Heart Failure.

Maan Isabella Cajita, Nancy A Hodgson, Katherine Wai Lam, Sera Yoo, Hae-Ra Han

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computers, informatics, nursing : CIN, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 10 pooled it
27.3field-weighted citation impact, top 1% of its field
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

112 citing papers in PubMed, 10 syntheses or guidelines pooled it, 220 citations in OpenAlex.

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  8. Older people's attitudes towards emerging technologies: A systematic literature review.Public understanding of science (Bristol, England) · 2023
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52 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

5 authors at 1 institution in 1 country.

Maan Isabella CajitaAuthor Affiliations: School of Nursing, Johns Hopkins University (Drs Cajita and Han), Baltimore, MD; School of Nursing, University of Pennsylvania (Dr Hodgson), Philadelphia; and Johns Hopkins University (Mss Lam and Yoo), Baltimore, MD.
Nancy A Hodgson
Katherine Wai Lam
Sera Yoo
Hae-Ra Han
Philadelphia University · US

Funding

Technology Research in Chronic & Critical IllnessT32NR008857 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Young Ji Lee · 2005 to 2026
$4.0M
mHealth use in older people with heart failureF31NR015943 · NINR · JOHNS HOPKINS UNIVERSITY · PI CAJITA, MAAN ISABELLA · 2015 to 2016
$81k
NINR NIH HHS F31 NR015943NINR NIH HHS T32 NR008857
6 · The paper itself

Abstract

The purpose of this descriptive, exploratory study was to assess the perceptions of older adults with heart failure regarding the use of mobile technology and to identify potential facilitators of and barriers to mHealth adoption. Semistructured interviews were used to collect data. Transcripts were analyzed using qualitative content analysis. The findings indicated that older adults do not base their intention to use mHealth solely on perceived ease of use and perceived usefulness, as outlined in the Technology Acceptance Model. The following themes emerged from the content analysis: facilitators included previous experience with mobile technology, willingness to learn mHealth, ease of use, presence of useful features, adequate training, free equipment, and doctor's recommendation; barriers included lack of knowledge regarding how to use mHealth, decreased sensory perception, lack of need for technology, poorly designed interface, cost of technology, and limited/fixed income. Overall, the findings suggest that older adults are willing to use mobile health technology, albeit with reservations. Future researchers who seek to implement mHealth-based interventions should address person-related, technology-related, and contextual barriers, and simultaneously capitalize on the influence of potential facilitators, such as a physician's recommendation, to promote mHealth adoption.

Indexed as

Health Services AccessibilityAgedAged, 80 and overFemaleHeart FailureHumansIntentionMalePatient Acceptance of Health CareQualitative ResearchTelemedicine

Identifiers

PMID29742549
PMCPMC6086749
OpenAlexW2799600979

What OpenQuestion holds

Textmetadata
LicenceTDM
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.