Understanding Use Intention of mHealth Applications Based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) Model in China

Dados Bibliográficos

ID15469011
AutoresYancong Zhu (0000-0003-4354-6399, Beijing Normal University), Zhao Zhen-hong (Beijing Normal University), Zhenhong Zhao (Beijing Normal University), Jingxian Guo (Beijing Normal University), Yanna Wang (0009-0006-6865-1389, Beijing Normal University), Chengwen Zhang (0000-0002-5938-7559, Beijing Normal University), Zheng Jiayu (0000-0001-7719-5270, Beijing Normal University), Jiayu Zheng (0000-0002-8715-3952, Beijing Normal University), Zheng Zou (0000-0001-6046-3398, Peking University, autor correspondente), Wei Liu (0000-0002-5949-0302, Beijing Normal University, autor correspondente)
Ano2023
Volume20
Fascículo4
Páginas3139-3139
Data de publicação2023-02-10
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph20043139
PMID36833830
OpenAlexW4320494192
IdiomaEN
Citações recebidas5
Referências citadas56

The COVID-19 pandemic has significantly impacted the healthcare industry, especially public health resources and resource allocation. With the change in people's lifestyles and increased demand for medical and health care in the post-pandemic era, the Internet and home healthcare have rapidly developed. As an essential part of Internet healthcare, mobile health (mHealth) applications help to fundamentally address the lack of medical resources and meet people's healthcare needs. In this mixed-method study, we conducted in-depth interviews with 20 users in China (mean age = 26.13, SD = 2.80, all born in China) during the pandemic, based on the unified theory of acceptance and use of technology 2 (UTAUT-2) mode, and identified four dimensions of user needs in mHealth scenarios: convenience, control, trust, and emotionality. Based on the interview results, we adjusted the independent variables, deleted the hedonic motivation and the habit, and added the perceived trust and perceived risk as the variables. Using a structural equation model (SEM), we designed the questionnaire according to the qualitative results and collected data from 371 participants (above 18 years old, 43.9% male) online to examine the interrelationships these variables. The results show that performance expectancy (β = 0.40, p p p p p p p > 0.5) had no significant effects on use intention. Finally, we discussed design and development guidelines that can enhance user experience of mHealth applications. This research combines the actual needs and the main factors affecting the use intention of users, solves the problems of low satisfaction of user experience, and provides better strategic suggestions for developing mHealth applications in the future

Control (management · Expectancy theory · Health care · mHealth · Psychological intervention · Structural equation modeling · Theory of planned behavior · Unified theory of acceptance and use of technology · Applied Psychology · Computer Science · Digital Marketing and Social Media · Mobile Health and mHealth Applications · Psychology · Social Psychology · Technology Adoption and User Behaviour