• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

调查使用移动医疗应用程序监测 COVID-19 症状和接触者追踪的有效因素:对伊朗公民的调查。

Investigating the effective factors of using mHealth apps for monitoring COVID-19 symptoms and contact tracing: A survey among Iranian citizens.

机构信息

Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.

Iran Helal Institute of Applied-Science and Technology, Tehran, Iran; Research Center for Health Management in Mass Gathering, Red Crescent Society of the Islamic Republic of Iran, Tehran, Iran.

出版信息

Int J Med Inform. 2021 Nov;155:104571. doi: 10.1016/j.ijmedinf.2021.104571. Epub 2021 Sep 8.

DOI:10.1016/j.ijmedinf.2021.104571
PMID:34537686
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8425635/
Abstract

BACKGROUND AND OBJECTIVES

The use of mHealth applications depends on cognitive and social factors of individuals in different nations. This study aimed to identify the factors influencing the use of mHealth applications for both "contact-tracing" and "symptom-monitoring" of COVID-19 among Iranian citizens.

METHODS

A cross-sectional study with an online survey was conducted among Iranian citizens. Correlation calculation and multiple linear regression analysis were performed on the studied variables to find the effective factors.

RESULTS

A total of 1031 Iranian citizens over the age of 18 participated in this survey. A large percentage of the participants wanted to use the mHealth app to trace contacts of COVID-19 (74.5%) and the mHealth app to identify and monitor COVID-19 symptoms (74.0%). Gender, age, level of education, attitude towards technology, and fear of COVID-19 were among the factors that influenced the intention to use these two apps. The top reasons for using these apps were: "to keep myself and my family safe", "to control the spread of the coronavirus in general", and "to cooperate with healthcare professionals". The reasons given for not using these two apps were related to the issues of "security and privacy" and "doubt in efficiency and usefulness" of them.

CONCLUSIONS

The study showed that many participants in this survey were interested in using the COVID-19 apps. Policies, regulations and procedures are needed to protect the privacy of individuals by ensuring data governance. Further investigation with a larger sample is suggested to generalize these results.

摘要

背景与目的

在不同国家,移动健康应用的使用取决于个人的认知和社会因素。本研究旨在确定影响伊朗公民使用移动健康应用进行 COVID-19“接触者追踪”和“症状监测”的因素。

方法

采用横断面研究和在线调查的方法,对伊朗公民进行研究。对研究变量进行相关计算和多元线性回归分析,以找出有效因素。

结果

共有 1031 名 18 岁以上的伊朗公民参加了这项调查。很大一部分参与者希望使用移动健康应用程序来追踪 COVID-19 的接触者(74.5%)和移动健康应用程序来识别和监测 COVID-19 症状(74.0%)。性别、年龄、教育程度、对技术的态度以及对 COVID-19 的恐惧是影响使用这两种应用程序意图的因素之一。使用这些应用程序的主要原因是:“保护我自己和我的家人的安全”、“控制冠状病毒的传播”和“与医疗保健专业人员合作”。不使用这两种应用程序的原因与“安全和隐私”以及“对它们的效率和有用性的怀疑”有关。

结论

本研究表明,该调查中的许多参与者对使用 COVID-19 应用程序很感兴趣。需要制定政策、法规和程序,通过确保数据治理来保护个人隐私。建议进行进一步的研究,扩大样本量,以推广这些结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/e137679cee88/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/b72d52d17962/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/b3e9e9edec1a/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/6b2e6de50063/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/e308c82eba93/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/a4d3adc8860a/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/e137679cee88/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/b72d52d17962/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/b3e9e9edec1a/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/6b2e6de50063/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/e308c82eba93/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/a4d3adc8860a/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/8425635/e137679cee88/gr6_lrg.jpg

相似文献

1
Investigating the effective factors of using mHealth apps for monitoring COVID-19 symptoms and contact tracing: A survey among Iranian citizens.调查使用移动医疗应用程序监测 COVID-19 症状和接触者追踪的有效因素:对伊朗公民的调查。
Int J Med Inform. 2021 Nov;155:104571. doi: 10.1016/j.ijmedinf.2021.104571. Epub 2021 Sep 8.
2
Predictors to Use Mobile Apps for Monitoring COVID-19 Symptoms and Contact Tracing: Survey Among Dutch Citizens.使用移动应用程序监测新冠病毒症状和接触者追踪的预测因素:荷兰公民调查
JMIR Form Res. 2021 Dec 20;5(12):e28416. doi: 10.2196/28416.
3
Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan.亲社会行为与 COVID-19 接触者追踪应用程序的采用:日本代际差异的调查分析。
JMIR Mhealth Uhealth. 2021 Aug 19;9(8):e29923. doi: 10.2196/29923.
4
Facilitators and barriers to the adoption of mHealth apps for COVID-19 contact tracing: a systematic review of the literature.促进和阻碍采用移动健康应用程序进行 COVID-19 接触者追踪的因素:文献系统综述。
Front Public Health. 2023 Dec 7;11:1222600. doi: 10.3389/fpubh.2023.1222600. eCollection 2023.
5
Reasons for Nonuse, Discontinuation of Use, and Acceptance of Additional Functionalities of a COVID-19 Contact Tracing App: Cross-sectional Survey Study.新冠接触者追踪应用程序的未使用、停用和接受额外功能的原因:横断面调查研究。
JMIR Public Health Surveill. 2022 Jan 14;8(1):e22113. doi: 10.2196/22113.
6
To Use or Not to Use a COVID-19 Contact Tracing App: Mixed Methods Survey in Wales.使用还是不使用 COVID-19 接触者追踪应用程序:威尔士的混合方法调查。
JMIR Mhealth Uhealth. 2021 Nov 22;9(11):e29181. doi: 10.2196/29181.
7
Adaptation and Utilization of a Postmarket Evaluation Model for Digital Contact Tracing Mobile Health Tools in the United States: Observational Cross-sectional Study.美国数字接触者追踪移动健康工具的上市后评估模型的调整和利用:观察性横断面研究。
JMIR Public Health Surveill. 2023 Mar 22;9:e38633. doi: 10.2196/38633.
8
Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study.与患有慢性病的痴呆症照护者采用移动医疗应用意愿相关的因素:横断面、相关性研究。
JMIR Mhealth Uhealth. 2021 Aug 31;9(8):e27926. doi: 10.2196/27926.
9
The Roles of General Health and COVID-19 Proximity in Contact Tracing App Usage: Cross-sectional Survey Study.一般健康状况和与 COVID-19 的接近程度在接触者追踪应用程序使用中的作用:横断面调查研究。
JMIR Public Health Surveill. 2021 Aug 18;7(8):e27892. doi: 10.2196/27892.
10
Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis.技术、隐私和用户对 COVID-19 移动接触追踪应用程序的看法:系统搜索和内容分析。
J Med Internet Res. 2021 Feb 9;23(2):e23467. doi: 10.2196/23467.

引用本文的文献

1
Adoption of a COVID-19 Contact Tracing App by Czech Youth: Cross-Cultural Replication Study.采用 COVID-19 接触者追踪应用程序的捷克青年:跨文化复制研究。
JMIR Hum Factors. 2023 Nov 16;10:e45481. doi: 10.2196/45481.
2
Antecedents predicting digital contact tracing acceptance: a systematic review and meta-analysis.预测数字接触者追踪接受度的前置因素:系统回顾和荟萃分析。
BMC Med Inform Decis Mak. 2023 Oct 11;23(1):212. doi: 10.1186/s12911-023-02313-1.
3
The Adoption of a COVID-19 Contact-Tracing App: Cluster Analysis.一款新冠病毒接触者追踪应用程序的采用情况:聚类分析

本文引用的文献

1
What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention.是什么促使人们安装新冠病毒接触者追踪应用程序?了解应用程序设计和个体差异对接触者追踪应用程序采用意愿的影响。
Pervasive Mob Comput. 2021 Aug;75:101439. doi: 10.1016/j.pmcj.2021.101439. Epub 2021 Jun 17.
2
Predictors to Use Mobile Apps for Monitoring COVID-19 Symptoms and Contact Tracing: Survey Among Dutch Citizens.使用移动应用程序监测新冠病毒症状和接触者追踪的预测因素:荷兰公民调查
JMIR Form Res. 2021 Dec 20;5(12):e28416. doi: 10.2196/28416.
3
Health Care Students' Knowledge of and Attitudes, Beliefs, and Practices Toward the French COVID-19 App: Cross-sectional Questionnaire Study.
JMIR Form Res. 2023 Jun 20;7:e41479. doi: 10.2196/41479.
4
Self-care for coronavirus disease through electronic health technologies: A scoping review.通过电子健康技术进行冠状病毒病的自我护理:一项范围综述。
Health Sci Rep. 2023 Feb 20;6(2):e1122. doi: 10.1002/hsr2.1122. eCollection 2023 Feb.
5
Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach.探索影响移动健康应用中用户体验的因素:一种文本挖掘和机器学习方法。
J Bus Res. 2023 Feb;156:113484. doi: 10.1016/j.jbusres.2022.113484. Epub 2022 Dec 2.
医疗保健专业学生对法国 COVID-19 应用程序的认知、态度、信念和实践:横断面问卷调查研究。
J Med Internet Res. 2021 Mar 3;23(3):e26399. doi: 10.2196/26399.
4
Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis.瑞士 COVID-19 接触追踪应用接受度的驱动因素:面板调查分析。
JMIR Public Health Surveill. 2021 Jan 6;7(1):e25701. doi: 10.2196/25701.
5
Attitudes Toward Using COVID-19 mHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey.慢性病患者对使用 COVID-19 移动医疗工具的态度:COVID-19 影响调查的二次数据分析。
JMIR Mhealth Uhealth. 2020 Dec 17;8(12):e24693. doi: 10.2196/24693.
6
COVID-19 Mobile Apps: A Systematic Review of the Literature.COVID-19 移动应用程序:文献的系统评价。
J Med Internet Res. 2020 Dec 9;22(12):e23170. doi: 10.2196/23170.
7
COVID-19 information-related digital literacy among online health consumers in a low-income country.低收入国家在线健康消费者的 COVID-19 信息相关数字素养。
Int J Med Inform. 2021 Jan;145:104322. doi: 10.1016/j.ijmedinf.2020.104322. Epub 2020 Nov 1.
8
A national survey of attitudes to COVID-19 digital contact tracing in the Republic of Ireland.爱尔兰共和国对 COVID-19 数字接触追踪的全国性态度调查。
Ir J Med Sci. 2021 Aug;190(3):863-887. doi: 10.1007/s11845-020-02389-y. Epub 2020 Oct 16.
9
Attitudes and opinions on quarantine and support for a contact-tracing application in France during the COVID-19 outbreak.法国 COVID-19 疫情期间对隔离的态度和意见,以及对接触者追踪应用程序的支持。
Public Health. 2020 Nov;188:21-31. doi: 10.1016/j.puhe.2020.08.026. Epub 2020 Oct 12.
10
Ready or Not for Contact Tracing? Investigating the Adoption Intention of COVID-19 Contact-Tracing Technology Using an Extended Unified Theory of Acceptance and Use of Technology Model.准备好进行接触者追踪了吗?使用扩展的统一技术接受和使用理论模型调查 COVID-19 接触者追踪技术的采用意愿。
Cyberpsychol Behav Soc Netw. 2021 Jun;24(6):377-383. doi: 10.1089/cyber.2020.0483. Epub 2020 Oct 5.