Evidence map›Paper›PMID 42344219›Full record

ReviewPatient preference and adherence2026

eHealth Literacy and Quality of Life in Patients: A Narrative Review of Mediating Effecting.

Wenchen Zhao, Xinxia Li

Abstract readReview
In one paragraph

Review in Patient preference and adherence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wenchen ZhaoSchool of Nursing, Inner Mongolia Medical University, Hohhot, People's Republic of China.ORCID 0009-0001-7795-6575
Xinxia LiOutpatient and Ward Management Department, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Guided by the World Health Organization's Global Strategy on Digital Health 2020-2025, and with the widespread adoption of digital health concepts globally, public health management is undergoing a profound transformation toward online and intelligent models. In this context, leveraging digital intelligence technologies to empower full life-cycle health management-and thereby tangibly improve people's quality of life-has become a core objective in the field of international health promotion. Meanwhile, through a review of the literature, we found that eHealth literacy can further influence quality of life through mediating factors. Therefore, this review summarizes specific mediating variables and explores their underlying mechanisms. Methods: Based on the inclusion and exclusion criteria, we conducted a literature search in the CNKI, PubMed and Web of science databases using keywords such as "eHealth literacy", "quality of life", and "mediating effect". We employed a narrative review approach to summarize and synthesize the literature on mediating variables in the relationship between eHealth literacy and quality of life. Results: A total of 7 studies were included after the screening process. All 7 articles included in the review were cross-sectional studies. Social support, self-efficacy, self-management ability, life satisfaction, and fear of disease progression were found to play significant mediating roles between eHealth literacy and quality of life. Conclusion: Existing evidence indicates that the relationship between eHealth literacy and quality of life is influenced by mediating factors. Future eHealth interventions should target these mediating factors to effectively improve patients' quality of life.

Indexed as

eHealth literacymediating effectquality of life

Identifiers

PMID42344219
PMCPMC13289774

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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.