Holl Felix, Flemisch Fabian, Swoboda Walter, Schobel Johannes
DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany.
Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig Maximilian University of Munich, Munich, Germany.
JAMIA Open. 2022 Sep 26;5(4):ooac082. doi: 10.1093/jamiaopen/ooac082. eCollection 2022 Dec.
OBJECTIVE: The purpose of this study is to provide an overview of apps to help control the spread of Covid-19 in Germany and rate them according to standardized instruments. MATERIALS AND METHODS: The Apple App Store and Google Play Store were systematically searched to identify apps dealing with Covid-19 in Germany. The German Mobile App Rating Scale (MARS-G) was used to independently assess app quality by 2 trained reviewers. RESULTS: Overall, the quality of the 6 rated apps was good with a mean score of 4.15 (3.88-4.34). The best-rated apps were NINA app (4.34) and Corona Health App (4.29). The best-rated sections were functionality (4.40), aesthetic (4.25), and information (4.25). In contrast, the worst-rated section was engagement (3.63). Even though some of the apps were used by more people than others, there was no correlation between the MARS-G rating and app store rating. In addition, the MARS-G proved to be effective even with rating apps, which have different goals and methods to achieve them. CONCLUSIONS: To our knowledge, this is the first study that identified and evaluated German Covid-19 mobile health apps available in the German app stores. The review shows that despite the excellent quality in aspects like information and functionality, there is still a gap in the engagement section. To motivate more people to use the Covid-19 apps, new ideas are needed, besides more information and education about the functionality of the apps, to gain trust in app developers and raise the number of downloads.
目的:本研究旨在概述德国用于帮助控制新冠疫情传播的应用程序,并根据标准化工具对其进行评级。 材料与方法:对苹果应用商店和谷歌Play商店进行系统搜索,以识别德国境内涉及新冠疫情的应用程序。由两名经过培训的评审员使用德国移动应用程序评分量表(MARS-G)独立评估应用程序质量。 结果:总体而言,6款评级应用程序的质量良好,平均得分为4.15(3.88 - 4.34)。评分最高的应用程序是NINA应用程序(4.34)和新冠健康应用程序(4.29)。评分最高的部分是功能(4.40)、美观性(4.25)和信息(4.25)。相比之下,评分最低的部分是参与度(3.63)。尽管有些应用程序的使用人数多于其他应用程序,但MARS-G评分与应用商店评分之间没有相关性。此外,事实证明,即使对于目标和实现方法不同的应用程序,MARS-G也能有效地进行评级。 结论:据我们所知,这是第一项识别并评估德国应用商店中可用的德国新冠疫情移动健康应用程序的研究。该综述表明,尽管这些应用程序在信息和功能等方面质量出色,但在参与度方面仍存在差距。为了激励更多人使用新冠疫情应用程序,除了提供更多关于应用程序功能的信息和教育外,还需要新的思路,以赢得对应用程序开发者的信任并提高下载量。
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