@文章{信息:doi/10.2196/29136，作者=“Abd-Alrazaq, Alaa和Hassan, Asmaa和Abuelezz, Israa和Ahmed, Arfan和Alzubaidi, Mahmood Saleh和Shah, Uzair和Alhuwail, Dari和Giannicchi, Anna和Househ, Mowafa”，标题=“第一波新冠肺炎大流行期间实施的技术概述:范围审查”，期刊=“J Med Internet Res”，年=“2021”，月=“9”，日=“14”，卷=“23”，号=“9”，页=“e29136”，关键词=“技术”;数字工具;COVID-19;新型冠状病毒;范围审查;数字健康;背景:在2019冠状病毒病大流行期间，已广泛实施技术，为各种临床状况提供卫生保健服务。虽然对COVID-19大流行期间使用的技术进行了几次审查，但由于侧重于特定技术(或功能)或建议而不是实施的技术，审查受到限制。目的:本综述旨在概述文献中报道的在COVID-19大流行第一波期间实施的技术。方法:我们使用PRISMA(系统评价和荟萃分析首选报告项目)扩展范围评价进行了范围评价。 Studies were retrieved by searching 8 electronic databases, checking the reference lists of included studies and relevant reviews (backward reference list checking), and checking studies that cited included studies (forward reference list checking). The search terms were chosen based on the target intervention (ie, technologies) and the target disease (ie, COVID-19). We included English publications that focused on technologies or digital tools implemented during the COVID-19 pandemic to provide health-related services regardless of target health condition, user, or setting. Two reviewers independently assessed the eligibility of studies and extracted data from eligible papers. We used a narrative approach to synthesize extracted data. Results: Of 7374 retrieved papers, 126 were deemed eligible. Telemedicine was the most common type of technology (107/126, 84.9{\%}) implemented in the first wave of the COVID-19 pandemic, and the most common mode of telemedicine was synchronous (100/108, 92.6{\%}). The most common purpose of the technologies was providing consultation (75/126, 59.5{\%}), followed by following up with patients (45/126, 35.7{\%}), and monitoring their health status (22/126, 17.4{\%}). Zoom (22/126, 17.5{\%}) and WhatsApp (12/126, 9.5{\%}) were the most commonly used videoconferencing and social media platforms, respectively. Both health care professionals and health consumers were the most common target users (103/126, 81.7{\%}). The health condition most frequently targeted was COVID-19 (38/126, 30.2{\%}), followed by any physical health conditions (21/126, 16.7{\%}), and mental health conditions (13/126, 10.3{\%}). Technologies were web-based in 84.1{\%} of the studies (106/126). Technologies could be used through 11 modes, and the most common were mobile apps (86/126, 68.3{\%}), desktop apps (73/126, 57.9{\%}), telephone calls (49/126, 38.9{\%}), and websites (45/126, 35.7{\%}). Conclusions: Technologies played a crucial role in mitigating the challenges faced during the COVID-19 pandemic. We did not find papers describing the implementation of other technologies (eg, contact-tracing apps, drones, blockchain) during the first wave. Furthermore, technologies in this review were used for other purposes (eg, drugs and vaccines discovery, social distancing, and immunity passport). Future research on studies on these technologies and purposes is recommended, and further reviews are required to investigate technologies implemented in subsequent waves of the pandemic. ", issn="1438-8871", doi="10.2196/29136", url="//www.mybigtv.com/2021/9/e29136", url="https://doi.org/10.2196/29136", url="http://www.ncbi.nlm.nih.gov/pubmed/34406962" }