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环境条件、移动数字文化、移动可用性、应用程序在减轻 COVID-19 风险方面的知识:结构方程模型分析

Environmental conditions, mobile digital culture, mobile usability, knowledge of app in COVID-19 risk mitigation: A structural equation model analysis.

作者信息

Sayibu Muhideen, Chu Jianxun, Akintunde Tosin Yinka, Rufai Olayemi Hafeez, Amosun Tunde Simeon, George-Ufot Glory

机构信息

University of Science and Technology of China, Anhui, Hefei, China.

Department of Sociology, School of Public Administration, Hohai University, Nanjing, 211100, China.

出版信息

Smart Health (Amst). 2022 Sep;25:100286. doi: 10.1016/j.smhl.2022.100286. Epub 2022 May 16.

DOI:10.1016/j.smhl.2022.100286
PMID:35600252
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9110057/
Abstract

INTRODUCTION

The mobile digital culture (MDC) supports individual lives, communities, and real-time organizational surveillance during COVID-19 emergencies. Hence, the study examined the advancement in smart health devices evidence in smartphone apps technologies in surveillance, control, and tracking potential virus areas among high-risk populations.

OBJECTIVE

The study explored how environmental condition and MDC mediates between knowledge of App and mobile usability in the prevention of COVID-19 infection in high-risk areas.

METHODS

Using the concept of UTAUT, the study conceptualized that mobile usability, MDC, knowledge of App and environmental condition, are essential for COVID-19 mitigation. A cross-sectional method was adopted through an online survey to assess data from n = 459 mobile users. The association of the study models was appraised through structural equation models (Amos v.24.0).

RESULT

We found mobile usability, knowledge of App, and MDC were statistically significant to COVID-19 mitigation. Environment condition as mediator had no effect in the study models. However, moderating effect of MDC shows a negative influence on the association between COVID-19 mitigation and knowledge of apps.

CONCLUSION

Future policies should consider the development of mHealth technology to improve end-user experience. Also, future policies should entail data privacy to reduce the infringement of data collected. This approach will lead to a confidential, high acceptance of usability of mHealth apps infectious disease prevention.

摘要

引言

移动数字文化(MDC)在新冠疫情紧急情况期间支持个人生活、社区以及实时组织监测。因此,本研究考察了智能健康设备在智能手机应用技术方面的进展,这些技术可用于监测、控制和追踪高风险人群中的潜在病毒区域。

目的

本研究探讨了环境条件和移动数字文化如何在应用程序知识与移动可用性之间起中介作用,以预防高风险地区的新冠病毒感染。

方法

本研究运用技术接受与使用整合理论(UTAUT)的概念,将移动可用性、移动数字文化、应用程序知识和环境条件概念化为减轻新冠疫情的关键因素。通过在线调查采用横断面方法,对n = 459名移动用户的数据进行评估。研究模型的关联性通过结构方程模型(Amos v.24.0)进行评估。

结果

我们发现移动可用性、应用程序知识和移动数字文化对减轻新冠疫情具有统计学意义。环境条件作为中介变量在研究模型中没有影响。然而,移动数字文化的调节作用对减轻新冠疫情与应用程序知识之间的关联显示出负面影响。

结论

未来政策应考虑发展移动健康技术以改善终端用户体验。此外,未来政策应包含数据隐私保护,以减少对所收集数据的侵犯。这种方法将带来一个保密的、对移动健康应用程序预防传染病可用性高度接受的局面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1b9/9110057/b1613b7b1998/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1b9/9110057/180c9b9dd4c2/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1b9/9110057/8a9957a19020/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1b9/9110057/6105755a0112/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1b9/9110057/b1613b7b1998/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1b9/9110057/180c9b9dd4c2/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1b9/9110057/8a9957a19020/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1b9/9110057/6105755a0112/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1b9/9110057/b1613b7b1998/gr4_lrg.jpg

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