Evidence map›Paper›PMID 40830933›Full record

ArticleBMC geriatrics2025

Factors that influence technophobia in Chinese older patients with ischemic stroke: a cross-sectional survey.

Yao Sun, Ru Zhang, Di Hu, Yuqing Wang, Chun Wen, Hongwen Ma

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

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, 1 synthesis or guideline pooled it.

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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

6 authors.

Yao Sun *Department of Neurology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, No. 190, Jieyuan Road, Hongqiao District, Tianjin city, 300121, People's Republic of China.
Ru Zhang *Department of Neurology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, No. 190, Jieyuan Road, Hongqiao District, Tianjin city, 300121, People's Republic of China.
Di Hu *Department of Medicine, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, No. 190, Jieyuan Road, Hongqiao District, Tianjin city, 300121, People's Republic of China.
Yuqing WangDepartment of Neurology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, No. 190, Jieyuan Road, Hongqiao District, Tianjin city, 300121, People's Republic of China.
Chun WenDepartment of Neurology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, No. 190, Jieyuan Road, Hongqiao District, Tianjin city, 300121, People's Republic of China.
Hongwen MaDepartment of Nursing, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, No. 190, Jieyuan Road, Hongqiao District, Tianjin city, 300121, People's Republic of China. 1090435944@qq.com.

Funding

Research Project of Tianjin Union Medical Center No. 2024YJHL029Tianjin Health Research Project No. TJWJ2022QN036
6 · The paper itself

Abstract

backgroundOlder patients with ischemic stroke often have a large number of medical needs, technophobia refers to the irrational anxiety and fear of digital technologies such as mobile communication equipment, artificial intelligence and robots, resulting in emotional reactions such as fear and tension, which will lead individuals to avoid using technology. However, the research on these patients' technophobia and the factors that may lead to it is limited. 

aimsThis study aimed to investigate the status of technophobia and analyze its influencing factors in Chinese older patients with ischemic stroke.

methodsA cross-sectional study was conducted among 204 older patients with ischemic stroke in a tertiary hospital in Tianjin from March 2023 to March 2024. The Technophobia Scale, Electronic Health Literacy Scale (eHEALS), General Self-Efficacy Scale (GSES), and Social Support Rate Scale (SSRS) were used to assess patients' technophobia, electronic health literacy, self-efficacy, and social support, respectively. A self-designed general information questionnaire was used to collect demographic information and disease-related information. Multiple linear regression analysis was performed to analyze the influencing factors.

resultsThe total score of technophobia in older patients with ischemic stroke was (44.81 ± 10.02). Multiple linear regression analysis showed that education level, monthly income, number of smart devices, electronic health literacy, self-efficacy, and social support were the main influencing factors of technophobia in older patients with ischemic stroke (P < 0.05), which could explain 35.3% of the total variation.

conclusionThe level of technophobia of older patients with ischemic stroke deserves attention, suggesting that medical staff can reduce the technophobia of older patients with ischemic stroke according to their sense of self-efficacy, electronic health literacy, and social support, so as to ensure patients' smooth medical treatment. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Digital TechnologyIschemic StrokePhobic DisordersAgedAged, 80 and overChinaCross-Sectional StudiesEast Asian PeopleFemaleHealth LiteracyHumansMaleMiddle AgedSelf EfficacySocial SupportSurveys and QuestionnairesAgedInfluencing factorsIschemic strokeTechnophobia

Identifiers

PMID40830933
PMCPMC12363053

What Socratic 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 Socratic graph.