Evidence map›Paper›PMID 41112558›Full record

SynthesisFrontiers in psychology2025

Influencing factors of digital health technology anxiety in the elderly: a systematic review and meta-analysis.

Ying Han, Jiquan Zhang, Wei Qing, Shouqi Zheng, Lin Xia, Yuxin Li, Lin He

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Ying HanSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jiquan ZhangNephrology Department, Deyang People's Hospital, Deyang, China.
Wei QingNephrology Department, Deyang People's Hospital, Deyang, China.
Shouqi ZhengSchool of Nursing, North Sichuan Medical College, Nanchong, China.
Lin XiaSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yuxin LiDepartment of Nursing, Deyang People's Hospital, Deyang, China.
Lin HeDepartment of Nursing, Deyang People's Hospital, Deyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the acceleration of global population aging, the widespread application of digital health technologies provides new opportunities for health management of older adults. However, many older adults generally face "digital health technology anxiety," which is characterized by irrational fear and resistance to emerging technologies, resulting in significantly lower rates of technology adoption than younger adults and increased health inequalities. The factors influencing digital health technology anxiety in the elderly were comprehensively evaluated through meta-analysis to provide an evidence-based foundation for developing targeted intervention measures. Methods: According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, the systematic search of Chinese and English databases (as of February 2025) included cross-sectional OR cohort studies of older adults ≥60 years old, and the outcome measures were factors influencing technology anxiety (reported as odds ratios [OR] with and corresponding 95% confidence intervals [CI]). Statistical analyses were performed using RevMan 5.3 software, combining effect sizes by fixed or random effects models. Heterogeneity was tested using the Results: Following the screening process, 11 studies were included in the analysis. The meta-analysis showed that the following factors significantly associated with technology anxiety: age (OR = 1.09, 95%CI 1.03-1.14), digital health literacy (OR = 0.67, 95%CI 0.49-0.92), monthly income (OR = 0.73, 95%CI 0.62-0.87), household registration (OR = 0.19, 95%CI 0.08-0.45), family support (OR = 0.85, 95%CI 0.81-0.90), social network (OR = 0.60, 95%CI 0.54-0.66), information application ability (OR = 0.46, 95%CI 0.28-0.74), and self-efficacy (OR = 0.96, 95%CI 0.92-0.99). Sensitivity analyses showed consistent overall results, although there was some variation in the size of the age group. Discussion: Digital health technology anxiety among the elderly is influenced by multiple factors, including individual characteristics, technological capabilities, and social support. Designing for the elderly, low-income, and rural populations is essential to improve digital literacy, optimize age-appropriate designs, and strengthen family-community support, ultimately alleviating anxiety. Future studies need to expand the sample size and include longitudinal data to validate the causal association. Systematic review registration: The protocol for this systematic review has been registered in PROSPERO (CRD42025649793, available at: https://www.crd.york.ac.uk/PROSPERO/search).

Indexed as

digital health technologyelderlyinfluencing factormeta-analysistechnology anxiety

Identifiers

PMID41112558
PMCPMC12528084

What OpenQuestion holds

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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.