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Intention to use digital mental health solutions: A cross-sectional survey of university students attitudes and perceptions toward online therapy, mental health apps, and chatbots
BACKGROUND: Globally, the high prevalence of mental disorders among university students is a growing public health problem, yet a small minority of students with mental health problems receive treatment. Digital mental health solutions could bridge treatment gaps and overcome many barriers students...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693229/ https://www.ncbi.nlm.nih.gov/pubmed/38047161 http://dx.doi.org/10.1177/20552076231216559 |
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author | Gbollie, Elton Fayiah Bantjes, Jason Jarvis, Lucy Swandevelder, Sonja du Plessis, Jean Shadwell, Richard Davids, Charl Gerber, Rone Holland, Nuhaa Hunt, Xanthe |
author_facet | Gbollie, Elton Fayiah Bantjes, Jason Jarvis, Lucy Swandevelder, Sonja du Plessis, Jean Shadwell, Richard Davids, Charl Gerber, Rone Holland, Nuhaa Hunt, Xanthe |
author_sort | Gbollie, Elton Fayiah |
collection | PubMed |
description | BACKGROUND: Globally, the high prevalence of mental disorders among university students is a growing public health problem, yet a small minority of students with mental health problems receive treatment. Digital mental health solutions could bridge treatment gaps and overcome many barriers students face accessing treatment. However, there is scant evidence, especially in South Africa (SA), relating to university students’ use of and intention to use digital mental health solutions or their attitudes towards these technologies. We aim to explore university 2students attitudes towards and perceptions of digital mental health solutions, and the factors associated with their intention to use them. METHODS: University students from four SA universities (n = 17 838) completed an online survey to assess experience with, attitudes and perceptions of, and intentions to use, digital mental health solutions. We conducted an exploratory factor analysis to identify factors underlying attitudes and perceptions, and then used multivariate ordinal regression analysis was used to investigate the factors’ association with students’ intention to use digital mental health solutions. RESULTS: Intention to use digital mental health solutions was high, and attitudes towards and perceptions of digital mental health solutions were largely positive. Importantly, our analysis also shows that 12.6% of users were willing to utilise some form of digital mental health solutions but were unwilling to utilise traditional face-to-face therapies. The greatest proportion of variance was explained by the factor ‘Attitudes towards digital technologies’ utility to improve student counselling services, provided they are safe’. CONCLUSION: SA university students are already engaging with digital mental health solutions, and their intention to do so is high. Certain attitudes and perceptions, particularly concerning the utility, effectiveness, and safety, underlie willingness to engage with these solutions, providing potential targets for interventions to increase uptake. |
format | Online Article Text |
id | pubmed-10693229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-106932292023-12-03 Intention to use digital mental health solutions: A cross-sectional survey of university students attitudes and perceptions toward online therapy, mental health apps, and chatbots Gbollie, Elton Fayiah Bantjes, Jason Jarvis, Lucy Swandevelder, Sonja du Plessis, Jean Shadwell, Richard Davids, Charl Gerber, Rone Holland, Nuhaa Hunt, Xanthe Digit Health Original Research BACKGROUND: Globally, the high prevalence of mental disorders among university students is a growing public health problem, yet a small minority of students with mental health problems receive treatment. Digital mental health solutions could bridge treatment gaps and overcome many barriers students face accessing treatment. However, there is scant evidence, especially in South Africa (SA), relating to university students’ use of and intention to use digital mental health solutions or their attitudes towards these technologies. We aim to explore university 2students attitudes towards and perceptions of digital mental health solutions, and the factors associated with their intention to use them. METHODS: University students from four SA universities (n = 17 838) completed an online survey to assess experience with, attitudes and perceptions of, and intentions to use, digital mental health solutions. We conducted an exploratory factor analysis to identify factors underlying attitudes and perceptions, and then used multivariate ordinal regression analysis was used to investigate the factors’ association with students’ intention to use digital mental health solutions. RESULTS: Intention to use digital mental health solutions was high, and attitudes towards and perceptions of digital mental health solutions were largely positive. Importantly, our analysis also shows that 12.6% of users were willing to utilise some form of digital mental health solutions but were unwilling to utilise traditional face-to-face therapies. The greatest proportion of variance was explained by the factor ‘Attitudes towards digital technologies’ utility to improve student counselling services, provided they are safe’. CONCLUSION: SA university students are already engaging with digital mental health solutions, and their intention to do so is high. Certain attitudes and perceptions, particularly concerning the utility, effectiveness, and safety, underlie willingness to engage with these solutions, providing potential targets for interventions to increase uptake. SAGE Publications 2023-11-30 /pmc/articles/PMC10693229/ /pubmed/38047161 http://dx.doi.org/10.1177/20552076231216559 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Gbollie, Elton Fayiah Bantjes, Jason Jarvis, Lucy Swandevelder, Sonja du Plessis, Jean Shadwell, Richard Davids, Charl Gerber, Rone Holland, Nuhaa Hunt, Xanthe Intention to use digital mental health solutions: A cross-sectional survey of university students attitudes and perceptions toward online therapy, mental health apps, and chatbots |
title | Intention to use digital mental health solutions: A cross-sectional survey of university students attitudes and perceptions toward online therapy, mental health apps, and chatbots |
title_full | Intention to use digital mental health solutions: A cross-sectional survey of university students attitudes and perceptions toward online therapy, mental health apps, and chatbots |
title_fullStr | Intention to use digital mental health solutions: A cross-sectional survey of university students attitudes and perceptions toward online therapy, mental health apps, and chatbots |
title_full_unstemmed | Intention to use digital mental health solutions: A cross-sectional survey of university students attitudes and perceptions toward online therapy, mental health apps, and chatbots |
title_short | Intention to use digital mental health solutions: A cross-sectional survey of university students attitudes and perceptions toward online therapy, mental health apps, and chatbots |
title_sort | intention to use digital mental health solutions: a cross-sectional survey of university students attitudes and perceptions toward online therapy, mental health apps, and chatbots |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693229/ https://www.ncbi.nlm.nih.gov/pubmed/38047161 http://dx.doi.org/10.1177/20552076231216559 |
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