Evidence map›Paper›PMID 42789283›Full record

ArticleJournal of medical Internet research2026

Current Status and Associated Factors of Technophobia Toward Digital Health Technologies Among Older Patients With Stroke: Mixed Methods Study.

Yingjie Yang, Yongye Wu, Zhuoyun Wu, Yang Wu, Zilu Zhang, Yuxia Li

Abstract read
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Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yingjie Yang *School of Nursing, Shanghai University of Traditional Chinese Medicine, No.1200 Cailun Road, Pudong New Area, Shanghai, 201203, China, 86 21 5132 3097.ORCID http://orcid.org/0009-0006-8853-9677
Yongye Wu *School of Nursing, Shanghai University of Traditional Chinese Medicine, No.1200 Cailun Road, Pudong New Area, Shanghai, 201203, China, 86 21 5132 3097.ORCID http://orcid.org/0009-0007-3575-1313
Zhuoyun WuSchool of Nursing, Shanghai University of Traditional Chinese Medicine, No.1200 Cailun Road, Pudong New Area, Shanghai, 201203, China, 86 21 5132 3097.ORCID http://orcid.org/0009-0003-4093-2195
Yang WuSchool of Nursing, Shanghai University of Traditional Chinese Medicine, No.1200 Cailun Road, Pudong New Area, Shanghai, 201203, China, 86 21 5132 3097.ORCID http://orcid.org/0009-0001-3422-5158
Zilu ZhangSchool of Nursing, Shanghai University of Traditional Chinese Medicine, No.1200 Cailun Road, Pudong New Area, Shanghai, 201203, China, 86 21 5132 3097.ORCID http://orcid.org/0009-0009-4664-4462
Yuxia LiSchool of Nursing, Shanghai University of Traditional Chinese Medicine, No.1200 Cailun Road, Pudong New Area, Shanghai, 201203, China, 86 21 5132 3097.ORCID http://orcid.org/0000-0001-5437-7346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health technologies increasingly support long-term stroke management and rehabilitation, but technophobia may hinder their acceptance and sustained use among older patients with stroke. Evidence in this population remains limited. Objective: This study aimed to examine the level, associated factors, and subjective experiences of technophobia toward digital health technologies among older patients with stroke, and inform targeted interventions. Methods: We used an explanatory sequential mixed methods design. In the quantitative phase, older patients with stroke were recruited by convenience sampling from a tertiary grade A hospital in Shanghai, China, between January 15, 2024, and January 2, 2025. Participants completed a general information questionnaire and the Chinese versions of the Technophobia Scale, the eHealth Literacy Scale, the Perceived Social Support Scale, and the Stroke Self-Efficacy Questionnaire. Univariable, correlation, and multivariable linear regression analyses were performed. Qualitative participants were purposively selected from the quantitative sample using maximum variation sampling informed by quantitative findings. Semistructured interviews conducted between February 6 and April 30, 2025, were analyzed using reflexive thematic analysis. Quantitative and qualitative findings were integrated to elucidate associated factors and their contextual manifestations. Results: Among 343 quantitative participants, the median technophobia score was 25.0 (IQR 22.0-33.0). Multivariable linear regression showed lower technophobia scores among patients with monthly per capita household income of Renminbi (Chinese yuan; RMB) 5000-6999 (RMB 1=US $0.14 as of January 29, 2026) versus less than RMB 1000 ( Conclusions: Technophobia varied among older patients with stroke and was associated with monthly per capita household income, frequency of digital health technology use, eHealth literacy, perceived social support, and stroke self-efficacy. These findings suggest that technophobia is not limited to operational difficulties but may reflect the interplay of personal resources, social support, and technology use contexts. Stroke-specific digital health interventions may need to address eHealth literacy, stroke self-efficacy, social support, and user experience to promote acceptance and use among older patients with stroke.

Indexed as

Phobic DisordersStrokeTelemedicineAgedAged, 80 and overChinaDigital HealthFemaleHumansMaleMiddle AgedSocial SupportSurveys and Questionnairesdigital health technologiesmixed methodsolder adultsstroketechnophobia

Identifiers

PMID42789283
PMCPMC13614213

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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.