Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Precision Monitoring to Transform Care (PRISM) Quality Enhancement Research Initiative (QUERI), Indianapolis, Indiana, USA
VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center, Indianapolis, Indiana, USA.
BMJ Open. 2021 Mar 8;11(3):e044646. doi: 10.1136/bmjopen-2020-044646.
Studies describe COVID-19 patient characteristics and outcomes across populations, but reports of variation across healthcare facilities are lacking. The objectives were to examine differences in COVID-19 patient volume and mortality across facilities, and understand whether facility variation in mortality was due primarily to differences in patient versus facility characteristics.
Observational cohort study with multilevel mixed effects logistic regression modelling.
The Veterans Health Administration (VA) is the largest healthcare system in the USA.
Patients with COVID-19.
All-cause mortality within 45 days after COVID-19 testing (March-May, follow-up through 16 July 2020).
Among 13 510 patients with COVID-19, 3942 (29.2%) were admitted (2266/3942 (57.5%) ward; 1676/3942 (42.5%) intensive care unit (ICU)) and 679/3942 (17.2%) received mechanical ventilation. Marked heterogeneity was observed across facilities in median age (range: 34.3-83.9 years; facility mean: 64.7, SD 7.2 years); patient volume (range: 1-737 at 160 facilities; facility median: 48.5, IQR 14-105.5); hospital admissions (range: 1-286 at 133 facilities; facility median: 11, IQR 1-26.5); ICU caseload (range: 1-85 at 115 facilities; facility median: 4, IQR 0-12); and mechanical ventilation (range: 1-53 at 90 facilities; facility median: 1, IQR 0-5). Heterogeneity was also observed in facility mortality for all patients with COVID-19 (range: 0%-29.7%; facility median: 8.9%, IQR 2.4%-13.7%); inpatients (range: 0%-100%; facility median: 18.0%, IQR 5.6%-28.6%); ICU patients (range: 0%-100%; facility median: 28.6%, IQR 14.3%-50.0%); and mechanical ventilator patients (range: 0%-100%; facility median: 52.7%, IQR 33.3%-80.6%). The majority of variation in facility mortality was attributable to differences in patient characteristics (eg, age).
Marked heterogeneity in COVID-19 patient volume, characteristics and mortality were observed across VA facilities nationwide. Differences in patient characteristics accounted for the majority of explained variation in mortality across sites. Variation in unadjusted COVID-19 mortality across facilities or nations should be considered with caution.
研究描述了 COVID-19 患者在不同人群中的特征和结局,但缺乏对医疗机构之间差异的报告。本研究旨在检查不同医疗机构之间 COVID-19 患者数量和死亡率的差异,并了解死亡率的医疗机构差异是否主要归因于患者与医疗机构特征的差异。
多水平混合效应逻辑回归模型的观察性队列研究。
退伍军人健康管理局(VA)是美国最大的医疗保健系统。
COVID-19 患者。
COVID-19 检测后 45 天内的全因死亡率(3 月至 5 月,随访至 2020 年 7 月 16 日)。
在 13510 例 COVID-19 患者中,3942 例(29.2%)住院(2266/3942(57.5%)病房;1676/3942(42.5%)重症监护病房(ICU)),679/3942(17.2%)接受机械通气。在中位数年龄(范围:34.3-83.9 岁;医疗机构平均值:64.7,SD 7.2 岁)、患者数量(范围:1-737 例,160 家医疗机构;医疗机构中位数:48.5,IQR 14-105.5)、住院人数(范围:1-286 例,133 家医疗机构;医疗机构中位数:11,IQR 1-26.5)、ICU 患者人数(范围:1-85 例,115 家医疗机构;医疗机构中位数:4,IQR 0-12)和机械通气(范围:1-53 例,90 家医疗机构;医疗机构中位数:1,IQR 0-5)方面,各医疗机构之间存在明显的异质性。所有 COVID-19 患者的医疗机构死亡率也存在异质性(范围:0%-29.7%;医疗机构中位数:8.9%,IQR 2.4%-13.7%);住院患者(范围:0%-100%;医疗机构中位数:18.0%,IQR 5.6%-28.6%);ICU 患者(范围:0%-100%;医疗机构中位数:28.6%,IQR 14.3%-50.0%)和机械通气患者(范围:0%-100%;医疗机构中位数:52.7%,IQR 33.3%-80.6%)。医疗机构死亡率的大部分变异归因于患者特征(例如年龄)的差异。
在全国范围内的 VA 医疗机构中,观察到 COVID-19 患者数量、特征和死亡率存在明显的异质性。患者特征的差异解释了死亡率在各地点的大部分差异。应谨慎考虑未调整的 COVID-19 死亡率在医疗机构或国家之间的差异。