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Factors Influencing Continued Usage Behavior on Mobile Health Applications

(1) Background: As people pay more attention to health, mobile health applications (mHealth apps) are becoming popular. These apps offer health services that run on mobile devices to help improve users’ health behaviors. However, few studies explore what motivates users to continue to use these apps...

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Detalles Bibliográficos
Autores principales: Wu, Pei, Zhang, Runtong, Zhu, Xiaomin, Liu, Manlu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872113/
https://www.ncbi.nlm.nih.gov/pubmed/35206823
http://dx.doi.org/10.3390/healthcare10020208
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author Wu, Pei
Zhang, Runtong
Zhu, Xiaomin
Liu, Manlu
author_facet Wu, Pei
Zhang, Runtong
Zhu, Xiaomin
Liu, Manlu
author_sort Wu, Pei
collection PubMed
description (1) Background: As people pay more attention to health, mobile health applications (mHealth apps) are becoming popular. These apps offer health services that run on mobile devices to help improve users’ health behaviors. However, few studies explore what motivates users to continue to use these apps. This study proposes antecedents influencing users’ electronic satisfaction (e-satisfaction) and their continued behaviors of using mHealth apps. Based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2), this study constructs a research model including perceived reliability and online review to predict the continued usage behavior on mHealth apps in China; (2) Methods: We conduct an online survey to collect data from participants who have used mHealth apps. This study receives 327 valid responses and tests the research model using the partial least squares structural equation model approach; (3) Results: Our results find that antecedents positively affect continued usage intention through the mediation role of e-satisfaction with mHealth apps. Interestingly, this study reveals that habit positively affects the continued usage behavior and moderates the effect of e-satisfaction and continued intention of using mHealth apps; (4) Conclusions: This study presents theoretical implications on the extended UTAUT2 and provides practical implications understanding of managing mHealth apps in China.
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spelling pubmed-88721132022-02-25 Factors Influencing Continued Usage Behavior on Mobile Health Applications Wu, Pei Zhang, Runtong Zhu, Xiaomin Liu, Manlu Healthcare (Basel) Article (1) Background: As people pay more attention to health, mobile health applications (mHealth apps) are becoming popular. These apps offer health services that run on mobile devices to help improve users’ health behaviors. However, few studies explore what motivates users to continue to use these apps. This study proposes antecedents influencing users’ electronic satisfaction (e-satisfaction) and their continued behaviors of using mHealth apps. Based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2), this study constructs a research model including perceived reliability and online review to predict the continued usage behavior on mHealth apps in China; (2) Methods: We conduct an online survey to collect data from participants who have used mHealth apps. This study receives 327 valid responses and tests the research model using the partial least squares structural equation model approach; (3) Results: Our results find that antecedents positively affect continued usage intention through the mediation role of e-satisfaction with mHealth apps. Interestingly, this study reveals that habit positively affects the continued usage behavior and moderates the effect of e-satisfaction and continued intention of using mHealth apps; (4) Conclusions: This study presents theoretical implications on the extended UTAUT2 and provides practical implications understanding of managing mHealth apps in China. MDPI 2022-01-21 /pmc/articles/PMC8872113/ /pubmed/35206823 http://dx.doi.org/10.3390/healthcare10020208 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wu, Pei
Zhang, Runtong
Zhu, Xiaomin
Liu, Manlu
Factors Influencing Continued Usage Behavior on Mobile Health Applications
title Factors Influencing Continued Usage Behavior on Mobile Health Applications
title_full Factors Influencing Continued Usage Behavior on Mobile Health Applications
title_fullStr Factors Influencing Continued Usage Behavior on Mobile Health Applications
title_full_unstemmed Factors Influencing Continued Usage Behavior on Mobile Health Applications
title_short Factors Influencing Continued Usage Behavior on Mobile Health Applications
title_sort factors influencing continued usage behavior on mobile health applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872113/
https://www.ncbi.nlm.nih.gov/pubmed/35206823
http://dx.doi.org/10.3390/healthcare10020208
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