Evidence map›Paper›PMID 40465587›Full record

ArticlePloS one2025

Social support and technophobia in older patients with coronary heart disease: The mediating roles of eHealth literacy and healthcare technology self-efficacy.

Jianchun Zhao, Danqing Hu, Haowei Du, Haichao Wang, Xiaomin Tu, Aimin Wang

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

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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, 2 syntheses or guidelines pooled it.

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4 · The record

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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

6 authors.

Jianchun ZhaoSchool of Nursing, Qingdao University, Qingdao, Shandong Province, People's Republic of China.
Danqing HuSchool of Nursing, Qingdao University, Qingdao, Shandong Province, People's Republic of China.
Haowei DuSchool of Nursing, Qingdao University, Qingdao, Shandong Province, People's Republic of China.
Haichao WangSchool of Nursing, Qingdao University, Qingdao, Shandong Province, People's Republic of China.
Xiaomin TuSchool of Nursing, Qingdao University, Qingdao, Shandong Province, People's Republic of China.
Aimin WangSchool of Nursing, Qingdao University, Qingdao, Shandong Province, People's Republic of China.ORCID https://orcid.org/0000-0003-1427-0004

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study was to explore the relationship between social support, eHealth literacy, healthcare technology self-efficacy, and technophobia. It also analyzed the mediating effect of eHealth literacy and healthcare technology self-efficacy between social support and technophobia.

methodsOlder patients with coronary heart diseases (n = 396) from four communities in Qingdao were interviewed using the Technophobia Scale, Social Support Rating Scale, eHealth Literacy Scale and Healthcare Technology Self-Efficacy Scale. Data were analyzed using common method deviation test, Pearson's bivariate correlation analysis, and mediation analysis using the PROCESS macro.

resultsSocial support was significantly positively correlated with eHealth literacy (r = 0.614, p < 0.01) and healthcare technology self-efficacy (r = 0.635, p < 0.01), and significantly negatively correlated with technophobia (r = -0.578, p < 0.01). eHealth literacy was significantly positively correlated with healthcare technology self-efficacy (r = 0.822, p < 0.01), and significantly negatively correlated with technophobia (r = -0.651, p < 0.01). Healthcare technology self-efficacy was significantly negatively correlated with technophobia (r = -0.700, p < 0.01). Social support had a total indirect effect on technophobia of -0.410, with eHealth literacy and healthcare technology self-efficacy mediating 24.9% and 30.2% of this effect respectively, and the chain mediating effect accounting for 44.9%.

conclusionsOur findings provide a theoretical reference for nursing to develop appropriate interventions to alleviate technophobia among older patients with CHD.

Indexed as

Coronary DiseaseHealth LiteracySelf EfficacySocial SupportTelemedicineAgedAged, 80 and overFemaleHumansMaleMiddle Aged

Identifiers

PMID40465587
PMCPMC12136290

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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.