Isonne Claudia, De Blasiis Maria Roberta, Turatto Federica, Mazzalai Elena, Marzuillo Carolina, De Vito Corrado, Villari Paolo, Baccolini Valentina
Department of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.
Life (Basel). 2022 Jun 10;12(6):871. doi: 10.3390/life12060871.
The adoption of digital contact-tracing apps to limit the spread of SARS-CoV-2 has been sup-optimal, but studies that clearly identify factors associated with the app uptake are still limited. In April 2021, we administered a questionnaire to healthcare university students to investigate their attitudes towards and experiences of the IMMUNI app. A multivariable logistic regression model was built to identify app download predictors. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated. We surveyed 247 students. Most respondents (65.6%) had not downloaded IMMUNI, reporting as the main reason the perceived app uselessness (32.7%). In the multivariable analysis, being advised to use the app (aOR: 3.21, 95%CI: 1.80-5.73), greater fear of infecting others (aOR: 1.50, 95%CI: 1.01-2.23), and greater trust in the institutional response to the emergency (aOR: 1.33, 95%CI: 1.00-1.76) were positively associated with the outcome, whereas greater belief in the "lab-leak theory" of COVID-19 was a negative predictor (aOR: 0.75, 95%CI: 0.60-0.93). Major technical issues were reported by app users. Targeted strategies aimed at improving awareness of digital health applications should be devised. Furthermore, institutions should invest in the development of these technologies, to minimize technical issues and make them accessible to the entire population.
采用数字接触追踪应用程序来限制严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的传播效果并不理想,但明确识别与应用程序使用相关因素的研究仍然有限。2021年4月,我们对医科大学学生进行了问卷调查,以调查他们对IMMUNI应用程序的态度和使用体验。建立了多变量逻辑回归模型来识别应用程序下载的预测因素。计算了调整后的优势比(aORs)和95%置信区间(CIs)。我们调查了247名学生。大多数受访者(65.6%)没有下载IMMUNI,主要原因是认为该应用程序无用(32.7%)。在多变量分析中,被建议使用该应用程序(aOR:3.21,95%CI:1.80-5.73)、更担心感染他人(aOR:1.50,95%CI:1.01-2.23)以及对机构应对紧急情况的信任度更高(aOR:1.33,95%CI:1.00-1.76)与结果呈正相关,而对新冠病毒“实验室泄漏理论”的认可度更高则是一个负向预测因素(aOR:0.75,95%CI:0.60-0.93)。应用程序用户报告了一些主要技术问题。应制定有针对性的策略,以提高对数字健康应用程序的认知度。此外,机构应投资于这些技术的开发,以尽量减少技术问题,并使其能够为全体人群所用。