ArticleScientific reports2026
Influencing factors of continuance intention of medical applications for the elderly.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- Exploring care adoption intention among older adults using XGBoost: a rural case in Anhui, China.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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.
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Registered trials
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.