Understanding the Antecedents and Effects of mHealth App Use in Pandemics: A Sequential Mixed-Method Investigation.
Understanding the Antecedents and Effects of mHealth App Use in Pandemics: A Sequential Mixed-Method Investigation.
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了解流行病中移动医疗应用程序使用的前因和影响：一项序贯混合方法调查
DOI：
10.3390/ijerph20010834
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发表时间：
2023-01-02
影响因子：
--
通讯作者：
Zhou, Zhongyun
中科院分区：
文献类型：
--
作者：
Jin, Xiaoling;Yuan, Zhangshuai;Zhou, Zhongyun
COVID-19等大流行病对公共卫生构成严重威胁，并扰乱了获得医疗服务的既定系统。移动的健康（mHealth）应用程序为公众服务，是应对这些外部挑战的潜在方法。然而，以前的研究很少讨论移动健康应用程序的前因和影响，以及它们在流行病期间作为一种应对方法的使用。基于技术接受模型，授权理论和事件理论，我们开发了一个研究模型，以检查移动健康应用程序及其使用的前因（技术特征和事件强度）和效果（心理授权）。我们通过一个连续的混合方法的调查测试了这个研究模型。首先，基于402名在COVID-19疫情期间使用移动健康应用程序的中国用户进行了定量研究，以验证理论模型。我们对COVID-19疫情期间191篇有关移动健康的网上文章和评论进行了后续定性研究，以交叉验证结果，并解释定量研究中未得到支持的结果。研究结果表明：（1）移动健康应用程序特征（感知有用性和感知易用性）对移动健康应用程序使用有正向影响;（2）移动健康应用程序使用对移动健康用户的心理授权有正向影响;（3）流行性事件特征（事件关键性和事件破坏性）对移动健康应用程序特征与移动健康应用程序使用之间的关系有正向调节作用。这项研究从微观层面解释了移动健康应用程序在COVID-19大流行中的作用，这对移动健康应用程序用于应对公共流行病的方式具有影响。
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.
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