Department of Health Care Administration, California State University, Long Beach, CA, USA.
LogixHealth, Inc., Bedford, MA, USA.
Am J Emerg Med. 2021 Apr;42:203-210. doi: 10.1016/j.ajem.2020.11.029. Epub 2020 Nov 19.
Emergency Department (ED) visits decreased significantly in the United States during the COVID-19 pandemic. A troubling proportion of this decrease was among patients who typically would have been admitted to the hospital, suggesting substantial deferment of care. We sought to describe and characterize the impact of COVID-19 on hospital admissions through EDs, with a specific focus on diagnosis group, age, gender, and insurance coverage.
We conducted a retrospective, observational study of aggregated third-party, anonymized ED patient data. This data included 501,369 patient visits from twelve EDs in Massachusetts from 1/1/2019-9/9/2019, and 1/1/2020-9/8/2020. We analyzed the total arrivals and hospital admissions and calculated confidence intervals for the change in admissions for each characteristic. We then developed a Poisson regression model to estimate the relative contribution of each characteristic to the decrease in admissions after the statewide lockdown, corresponding to weeks 11 through 36 (3/11/2020-9/8/2020).
We observed a 32% decrease in admissions during weeks 11 to 36 in 2020, with significant decreases in admissions for chronic respiratory conditions and non-orthopedic needs. Decreases were particularly acute among women and children, as well as patients with Medicare or without insurance. The most common diagnosis during this time was SARS-CoV-2.
Our findings demonstrate decreased hospital admissions through EDs during the pandemic and suggest that several patient populations may have deferred necessary care. Further research is needed to determine the clinical and operational consequences of this delay.
在美国 COVID-19 大流行期间,急诊科(ED)就诊量显著下降。其中相当一部分下降发生在通常需要住院的患者中,表明大量医疗服务被推迟。我们旨在描述和分析 COVID-19 对通过 ED 进行的医院收治的影响,重点关注诊断组、年龄、性别和保险覆盖范围。
我们对第三方匿名 ED 患者数据进行了回顾性、观察性研究。该数据包括马萨诸塞州 12 个 ED 从 2019 年 1 月 1 日至 9 月 9 日和 2020 年 1 月 1 日至 9 月 8 日的 501,369 例患者就诊情况。我们分析了总到达人数和住院人数,并计算了每个特征的入院人数变化的置信区间。然后,我们开发了一个泊松回归模型,以估计在全州封锁后的 11 周到 36 周(2020 年 3 月 11 日至 9 月 8 日)期间,每个特征对入院人数减少的相对贡献。
我们观察到 2020 年第 11 周到第 36 周期间入院人数减少了 32%,慢性呼吸系统疾病和非骨科需求的入院人数显著减少。女性和儿童以及有医疗保险或没有保险的患者的下降幅度尤其明显。在此期间最常见的诊断是 SARS-CoV-2。
我们的研究结果表明,大流行期间通过 ED 进行的医院收治减少,并表明一些患者群体可能推迟了必要的医疗服务。需要进一步研究以确定这种延迟的临床和运营后果。