Evidence map›Paper›PMID 41312252›Full record

ArticleFrontiers in public health2025

Bridging the silver-digital divide: how digital literacy shapes diverse healthcare utilisation among China's older adults-a cross-sectional study in seven Chinese cities.

Chi Zhang, Jiayu Hou, Hengyuan Zhang

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 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

3 authors.

Chi ZhangSchool of Philosophy and Sociology, Lanzhou University, Lanzhou, China.
Jiayu HouSchool of Philosophy and Sociology, Lanzhou University, Lanzhou, China.
Hengyuan ZhangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As of December 2023, China's population aged 60 and above reached 296.97 million, accounting for 21.1% of the total population. The convergence of an aging society and a digital society presents significant challenges for older adults, particularly in terms of digital inclusion and access to healthcare. This study investigates the impact of digital literacy on the consumption of healthcare services among older adults in China and explores the underlying mechanisms involving social support and technology acceptance. Methods: Data from 1,107 valid questionnaires from adults aged 60 and above were analyzed. Digital literacy was assessed using a unidimensional 10-item scale developed for this study. Healthcare service consumption was measured using a validated 8-item scale covering two dimensions: therapeutic and preventive services. Data analysis employed OLS regression, mediation, and moderation models. This study adopted a cross-sectional design with two independent waves of surveys (2019 and 2022) to avoid repeated sampling of the same individuals. Results: Digital literacy demonstrated a significant positive effect on the consumption of healthcare services among older adults ( Conclusion: Enhancing digital literacy is a crucial strategy for promoting healthcare service utilisation among older adults in an increasingly digitalized society. Policymakers should prioritize improving digital literacy and integrating digital technology into social support systems. Fostering technology acceptance can further amplify these positive effects. This study provides empirical evidence for understanding the role of digital literacy in healthcare consumption and offers valuable insights for policy development. Limitations include the small sample size relative to China's total older population (

Indexed as

Computer LiteracyDigital DivideHealth LiteracyPatient Acceptance of Health CareAgedAged, 80 and overChinaCitiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocial SupportSurveys and Questionnairesdigital literacyhealthcare consumptionolder adultssocial supporttechnology acceptance

Identifiers

PMID41312252
PMCPMC12646880

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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.