Urban Monika
Institut für Public Health und Pflegeforschung, Universität Bremen, Grazer Straße 2, 28359 Bremen, Deutschland.
Pravent Gesundh. 2022;17(2):128-133. doi: 10.1007/s11553-021-00854-9. Epub 2021 May 4.
The Corona-Warning-App of the Robert Koch-Institute is the most widely used digital public health intervention during this pandemic. Nevertheless, in October 2020, at the beginning of a new wave of infection, it reaches just one fifth of the population. This means that the app's potential to provide information about potential infections, which have taken place unnoticed, is dwindling.
The aim of the study is to explore the subjective perception and impact of the app on the individual, as well as the inhibiting and facilitating factors of its use. These effects can provide conclusions about the needs of the population and accordingly challenges for public health.
The dataset was created through two procedural steps. The first step is a forum analysis of a total of 300 reviews. The second step consists of 40 qualitative, semi-structured interviews. The data were inductively-deductively coded and evaluated along a content-structuring form of qualitative content analysis.
The effects of the app are a result of complex interactions. Of central importance for the dynamics are public spaces and social interactions, which are perceived as dangerous during this pandemic. Against this background, practices with the app can generate new visibilities that lead to a reassessment of the concrete threat. This again, can reopen possibilities for action. However, critical positions on data protection and data security may lead to new insecurities and possibly to the rejection of the app.
在此次疫情大流行期间,德国罗伯特·科赫研究所的新冠预警应用程序是使用最广泛的数字公共卫生干预措施。然而,在2020年10月新一轮感染开始时,该应用程序的覆盖人群仅占总人口的五分之一。这意味着该应用程序提供未被察觉的潜在感染信息的潜力正在减弱。
本研究旨在探讨该应用程序对个人的主观认知和影响,以及其使用的阻碍因素和促进因素。这些影响可为了解民众需求以及相应的公共卫生挑战提供依据。
数据集通过两个程序步骤创建。第一步是对总共300条评论进行论坛分析。第二步包括40次定性的、半结构化访谈。数据按照定性内容分析的内容结构化形式进行归纳-演绎编码和评估。
该应用程序的效果是复杂相互作用的结果。对于其动态变化至关重要的是公共场所和社交互动,在此次疫情大流行期间,这些被视为危险的因素。在此背景下,使用该应用程序的行为可能会产生新的可见性,从而导致对具体威胁的重新评估。这反过来又可以重新开启行动的可能性。然而,在数据保护和数据安全方面的批评立场可能会导致新的不安全感,并可能导致对该应用程序的拒绝。