Harborth David, Pape Sebastian, McKenzie Lukas Tom
Faculty of Economics and Business, Goethe University Frankfurt, 60326 Frankfurt am Main, Germany.
Healthcare (Basel). 2023 Feb 15;11(4):583. doi: 10.3390/healthcare11040583.
The World Health Organization declared the emergence of the novel coronavirus (SARS-CoV-2) in January 2020. To trace infection chains, Germany launched its smartphone contact tracing app, the "Corona-Warn-App" (CWA), in June 2020. In order to be successful as a tool for fighting the pandemic, a high adoption rate is required in the population. We analyse the respective factors influencing app adoption based on the health belief model (HBM) with a cross-sectional online study including 1752 participants from Germany. The study was conducted with a certified panel provider from the end of December 2020 to January 2021. This model is primarily known from evaluations of medical treatments, such as breast cancer screenings, but it was rarely applied in prior work for a health-related information system such as the CWA. Our results indicate that intrinsic and extrinsic motivation to use the CWA are the strongest drivers of app use. In contrast, technical barriers, privacy concerns and lower income are the main inhibitors. Our findings contribute to the literature on the adoption of contact tracing apps by questioning actual users and non-users of the CWA, and we provide valuable insights for policymakers regarding influences of adoption and potential user groups of disease prevention technologies in times of pandemics.
世界卫生组织于2020年1月宣布新型冠状病毒(严重急性呼吸综合征冠状病毒2,SARS-CoV-2)出现。为追踪感染链,德国于2020年6月推出了智能手机接触者追踪应用程序“新冠预警应用”(CWA)。为了作为抗击疫情的工具取得成功,需要民众有较高的采用率。我们基于健康信念模型(HBM),通过一项横断面在线研究,对1752名德国参与者进行分析,以探讨影响应用程序采用的相关因素。该研究于2020年12月底至2021年1月由一家经过认证的专门小组供应商开展。该模型主要用于评估乳腺癌筛查等医疗治疗,但在先前针对CWA这样的健康相关信息系统的研究中很少应用。我们的结果表明,使用CWA的内在和外在动机是应用程序使用的最强驱动力。相比之下,技术障碍、隐私担忧和低收入是主要阻碍因素。我们的研究结果通过对CWA的实际用户和非用户进行调查,为接触者追踪应用程序采用方面的文献做出了贡献,并且我们为政策制定者提供了关于疫情期间疾病预防技术采用的影响和潜在用户群体的宝贵见解。