Evidence map›Paper›PMID 35371531›Full record

ArticleDigital health

Seniors' eHealth literacy, health and education status and personal health knowledge.

Gizell Green

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Gizell GreenNursing Department, Ariel University, Ariel City, Israel.ORCID https://orcid.org/0000-0002-3649-2145
Ariel University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic made eHealth literacy skills and online health activities essential for seniors. Research aims: (a) To examine the differences in eHealth literacy dimensions (awareness of sources, recognizing quality and meaning, understanding information, perceived efficiency, validating information) as related to participants' health status and education level. (b) To explore the effect of eHealth literacy dimensions on participants' personal health knowledge. Methods: We used a cross-sectional design with a convenience sample of 298 Israeli seniors aged 65 or over during the second lockdown. The questionnaire was composed of three sections: (a) background characteristics, (b) an eHealth Literacy scale, and (c) perceived personal health knowledge. Results: Participants with an excellent health status reported higher levels of awareness of sources and perceived efficiency than participants with poor or good health statuses. Furthermore, participants with a graduate degree understand online information better than participants with a high school education. Moreover, it was found that participants with a high school education sense that they are being smart on the net more than participants with an undergraduate degree. Finally, we found that eHealth literacy dimensions influenced the participants' personal health knowledge. Conclusion: As the population ages, it becomes more at risk for disease, and as a result, its health status weakens. Therefore, it is important to provide seniors with appropriate intervention programs for improving their eHealth literacy, which may eliminate health inequality. In addition, caregivers need to develop patients' eHealth literacy skills-finding, evaluation, and interpretation of online health knowledge relevant to them.

Indexed as

educationElectronic health literacyhealth statuspersonal health knowledgeseniors

Identifiers

PMID35371531
PMCPMC8966200
OpenAlexW4225866758

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.