Evidence map›Paper›PMID 41703222›Full record

ArticleScientific reports2026

Influencing factors of continuance intention of medical applications for the elderly.

Tianyang Huang, Wenqin Cai, Tianyu Lu, Chiwu Huang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Tianyang HuangSchool of Design Art, Xiamen University of Technology, Xiamen, China. huangtydesign@163.com.ORCID http://orcid.org/0000-0003-4055-4983
Wenqin CaiDepartment of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Tianyu LuThe Second Affiliated Hospitial of Xiamen Medical College, Xiamen, China.
Chiwu HuangCollege of Design, National Taipei University of Technology, Taipei, Taiwan.

Funding

2024 Fujian Provincial Lifelong Education Quality Improvement Project-Lifelong Education Research Project (Key Project) ZS24005Construction of a talent cultivation model for design Based on Disciplinary integration SKHZ24010Fujian Provincial Social Science Foundation Project FJ2025MGCA042The 2022 Annual Higher Education Research Planning Project of the China Association of Higher Education 22SZH0219Xiamen University of Technology High-level Talent Research Project YSK24016R
6 · The paper itself

Abstract

Medical application is an effective extension of traditional medicine, which can provide users with convenient medical health and management services. However, how to improve the continuous acceptance and use of medical applications and relieve medical pressure has become an urgent issue to be explored. This study was intended to reveal the factors influencing the continuance intention of medical applications among the elderly. This study integrated the Value-Based Adoption Model, technology acceptance model, expectation confirmation theory, and trust model to construct an acceptance model for the continuous use of medical applications in the elderly. Quantitative empirical research was carried out by questionnaire survey and structural equation model. The results showed that confirmation significantly affected perceived ease of use and perceived usefulness. The perceived value, trust, satisfaction, perceived ease of use and perceived usefulness had a direct and significant positive effect on the continuance intention of medical applications in the elderly. In addition, perceived usefulness and perceived ease of use had a positive effect on satisfaction and trust. Meanwhile, perceived usefulness, perceived trust and value play a mediating role to some extent. However, the impact of privacy concern on perceived value and continuance intention was not significant. This study has expanded the technology acceptance model and its application, which can provide relevant improvement and optimization measures for medical application developers, providers, managers and researchers. It is expected to improve the user's continuance intention of medical applications, promoting the healthy and sustainable development of mHealth.

Indexed as

IntentionAgedDigital HealthFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTrust

Identifiers

PMID41703222
PMCPMC13005005

What OpenQuestion 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 OpenQuestion graph.