Evidence map›Paper›PMID 39755378›Full record

ArticleJournal of advanced nursing2025

Multi-Level Factors Influencing eHealth Literacy Among Chinese Older Adults: A Longitudinal Study.

Luyao Xie, Phoenix K H Mo

Abstract read
In one paragraph

Article in Journal of advanced nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

2 authors.

Luyao XieCentre for Health Behaviours Research, JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Phoenix K H MoCentre for Health Behaviours Research, JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, SAR, China.ORCID https://orcid.org/0000-0001-9822-5424

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsBased on the socio-ecological model, the present study examined influencing factors of eHealth literacy among Chinese older adults at individual-level (e.g., socio-demographics, Internet use, and health status), interpersonal (e.g., informational support and instrumental support), and community-level (e.g., available public facilities).

designA longitudinal study was conducted among 611 Chinese older adults aged 55 or over.

methodsFrom February to December 2022, older people's eHealth literacy was collected at baseline, 3-month and 6-month follow-up surveys and other variables were collected only at baseline, using online questionnaires.

resultsAmong 611 participants, 464 (75.9%) completed both follow-up surveys. At the individual level, participants who were older, female gender, rural residents, living alone, had lower education, occupational levels and income, and had chronic conditions and long-term medication showed lower eHealth literacy. Older adults with longer Internet use history, online health information seeking, more frequent health-related Internet use, higher self-rated Internet skills and positive perceptions towards online health information exhibited higher eHealth literacy over time. In terms of interpersonal and community-level factors, perceiving informational and instrumental support when using digital health, and having access to health facilities (e.g., health education) and technological training provided by the community could predict older individuals' higher eHealth literacy over time, after adjusting for covariates.

conclusionOlder people's eHealth literacy can be influenced by factors at individual, interpersonal, and community levels. IMPLICATIONS AND IMPACT: This longitudinal study identified significant factors influencing older individuals' eHealth literacy at different levels. Understanding unmodifiable factors at the individual level can help identify the subgroups that may need targeted support and interventions for promoting eHealth literacy. Furthermore, findings can guide tailored interventions to improve eHealth literacy through modifiable factors at the technological, interpersonal and community levels. REPORTING

methodAdhered to the STROBE guidelines. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

Health LiteracyTelemedicineAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedSurveys and QuestionnairesChinaeHealth literacyinfluencing factorslongitudinal studyolder adultssocio‐ecological model

Identifiers

PMID39755378
PMCPMC12371772

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.