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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Study on The Intention to Use Personalized Mental Health Care Applications Among Vietnamese High School Students

Authors: Ph.D. Trinh Khanh Chi,; Nguyen Minh Quynh,;

Study on The Intention to Use Personalized Mental Health Care Applications Among Vietnamese High School Students

Abstract

The mental health of high school students in Vietnam is facing numerous challenges due to academic pressure, important examinations, societal expectations, and the impact of the digital environment. In this context, the application of digital technology, especially personalized mental health apps, is considered a potential solution to help students manage stress, enhance concentration, and improve their quality of life. This study aims to analyze the factors (i) “Perceived Need for Mental Health Care”, (ii) “Perceived Usefulness”, (iii) “Perceived Ease of Use”, and (iv) “Subjective Norm” influencing high school students' intention to use personalized mental health apps. The results indicate that Perceived Usefulness (PU) and Subjective Norm (SN) significantly influence BI, with PU being the strongest influencing factor. This implies that students are only willing to use the apps if they clearly perceive practical benefits and receive encouragement from family, friends, and school. The research findings contribute empirical evidence to the applicability of TPB and TAM in the context of school mental health in Vietnam.

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Keywords

Apps, mental health, personalized apps, high school students, TAM, TPB

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green