Understanding the Antecedents and Effects of mHealth App Use in Pandemics
A Sequential Mixed-Method Investigation
Dados Bibliográficos
| ID | 15502012 |
|---|---|
| Autores | Xiaoling Jin (0000-0002-8185-4854, Shanghai University, autor correspondente), Zhangshuai Yuan (0000-0003-3682-3845, Shanghai University), Zhongyun Zhou (0000-0003-4245-8733, Tongji University) |
| Ano | 2023 |
| Volume | 20 |
| Fascículo | 1 |
| Páginas | 834-834 |
| Data de publicação | 2023-01-02 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | International Journal of Environmental Research and Public Health (JOURNAL) |
| Identificadores do periódico | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Editora | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20010834 |
| PMID | 36613156 |
| OpenAlex | W4313398716 |
| Idioma | EN |
| Citações recebidas | 1 |
| Referências citadas | 52 |
Pandemics such as COVID-19 pose serious threats to public health and disrupt the established systems for obtaining healthcare services. Mobile health (mHealth) apps serve the general public as a potential method for coping with these exogenous challenges. However, prior research has rarely discussed the antecedents and effects of mHealth apps and their use as a coping method during pandemics. Based on the technology acceptance model, empowerment theory, and event theory, we developed a research model to examine the antecedents (technology characteristics and event strength) and effects (psychological empowerment) of mHealth apps and their use. We tested this research model through a sequential mixed-method investigation. First, a quantitative study based on 402 Chinese mHealth users who used the apps during the COVID-19 pandemic was conducted to validate the theoretical model. A follow-up qualitative study of 191 online articles and reviews on mHealth during the COVID-19 pandemic was conducted to cross-validate the results and explain the unsupported findings of the quantitative study. The results show that (1) the mHealth app characteristics (perceived usefulness and perceived ease of use) positively affect mHealth app use; (2) mHealth app use positively affects the psychological empowerment of mHealth users; and (3) the characteristics of pandemic events (event criticality and event disruption) have positive moderating effects on the relationship between mHealth app characteristics and mHealth app use. This study explains the role of mHealth apps in the COVID-19 pandemic on the micro-level, which has implications for the ways in which mHealth apps are used in response to public pandemics
Coping (psychology · Coronavirus disease 2019 (COVID-19 · Disease · Empowerment · Infectious disease (medical specialty · mHealth · Pandemic · Political science · Psychological intervention · Public health · Applied Psychology · Clinical Psychology · Digital Mental Health Interventions · Medicine · Mobile Health and mHealth Applications · Nursing · Psychology · Technology Adoption and User Behaviour
Event System Theory
The psychological implications of Covid-19 on employee job insecurity and its consequences
Fear Appeals and Information Security Behaviors
Mirror, mirror on the wall
What Do Systems Users Have to Fear? Using Fear Appeals to Engender Threats and Fear that Motivate Protective Security Behaviors1
Processes of Self‐Management in Chronic Illness
Re-Examining Perceived Ease of Use and Usefulness
Self-management approaches for people with chronic conditions
Patient Self-management of Chronic Disease in Primary Care
Revisiting the Quantitative-Qualitative Debate
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
The Limitations of Online Surveys
Factors Affecting the Perceived Usability of the Covid-19 Contact-Tracing Application “Thai Chana” during the Early Covid-19 Omicron Period
Researching Internet-Based Populations
Psychological empowerment
Significance tests and goodness of fit in the analysis of covariance structures
| Obras citantes distintas | 1 |
|---|---|
| Citações por ano | 1 |
| Intervalo de citações | 2025 - 2025 (1) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 1 |