Department of Anesthesiology & Pain Medicine, University of Washington School of Medicine, RR450, 1959 NE Pacific St, Seattle, Washington 98195, United States of America (USA).
Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Bull World Health Organ. 2020 Oct 1;98(10):671-682. doi: 10.2471/BLT.20.264044. Epub 2020 Sep 3.
To determine whether location-linked anaesthesiology calculator mobile application (app) data can serve as a qualitative proxy for global surgical case volumes and therefore monitor the impact of the coronavirus disease 2019 (COVID-19) pandemic.
We collected data provided by users of the mobile app "Anesthesiologist" during 1 October 2018-30 June 2020. We analysed these using RStudio and generated 7-day moving-average app use plots. We calculated country-level reductions in app use as a percentage of baseline. We obtained data on COVID-19 case counts from the European Centre for Disease Prevention and Control. We plotted changing app use and COVID-19 case counts for several countries and regions.
A total of 100 099 app users within 214 countries and territories provided data. We observed that app use was reduced during holidays, weekends and at night, correlating with expected fluctuations in surgical volume. We observed that the onset of the pandemic prompted substantial reductions in app use. We noted strong cross-correlation between COVID-19 case count and reductions in app use in low- and middle-income countries, but not in high-income countries. Of the 112 countries and territories with non-zero app use during baseline and during the pandemic, we calculated a median reduction in app use to 73.6% of baseline.
App data provide a proxy for surgical case volumes, and can therefore be used as a real-time monitor of the impact of COVID-19 on surgical capacity. We have created a dashboard for ongoing visualization of these data, allowing policy-makers to direct resources to areas of greatest need.
确定基于地理位置的麻醉计算器移动应用程序(app)数据是否可以作为全球手术量的定性替代指标,从而监测 2019 年冠状病毒病(COVID-19)大流行的影响。
我们收集了“麻醉师”移动应用程序用户在 2018 年 10 月 1 日至 2020 年 6 月 30 日期间提供的数据。我们使用 RStudio 对这些数据进行了分析,并生成了 7 天移动平均应用程序使用图。我们计算了各国应用程序使用量相对于基线的减少百分比。我们从欧洲疾病预防控制中心获得了 COVID-19 病例数的数据。我们绘制了几个国家和地区不断变化的应用程序使用情况和 COVID-19 病例数。
来自 214 个国家和地区的 100099 名应用程序用户提供了数据。我们观察到,应用程序的使用在假期、周末和夜间减少,与手术量的预期波动相关。我们观察到,大流行的开始促使应用程序的使用大幅减少。我们注意到,在中低收入国家,COVID-19 病例数与应用程序使用量减少之间存在很强的交叉相关,但在高收入国家则没有。在基线和大流行期间有非零应用程序使用的 112 个国家和地区中,我们计算出应用程序使用量中位数减少到基线的 73.6%。
应用程序数据提供了手术量的替代指标,因此可以用作 COVID-19 对手术能力影响的实时监测指标。我们已经创建了一个仪表板,用于持续可视化这些数据,使决策者能够将资源导向最需要的地区。