Heterogeneity in COVID-19 patient volume, characteristics and outcomes across US Department of Veterans Affairs facilities: an observational cohort study

被引:3
|
作者
Bravata, Dawn M. [1 ,2 ,3 ,4 ,5 ]
Myers, Laura J. [1 ,2 ,4 ,5 ]
Perkins, Anthony J. [1 ,6 ]
Keyhani, Salomeh [1 ,7 ,8 ]
Zhang, Ying [1 ,9 ]
Zillich, Alan J. [10 ]
Dysangco, Andrew [3 ,4 ]
Lindsey, Reese [3 ,4 ]
Sharmitha, Dev [2 ,3 ,5 ,11 ]
Myers, Jennifer [1 ,2 ]
Austin, Charles [1 ,2 ]
Sexson, Ali [1 ,2 ]
Arling, Greg [1 ,12 ]
机构
[1] Dept Vet Affairs VA Hlth Serv Res & Dev HSR&D, Precis Monitoring Transform Care PRISM Qual Enhan, Indianapolis, IN 46204 USA
[2] VA HSR&D Ctr Hlth Informat & Commun CHIC, Richard L Roudebush VA Med Ctr, Indianapolis, IN 46204 USA
[3] Richard L Roudebush VA Med Ctr, Med Serv, Indianapolis, IN 46202 USA
[4] Indiana Univ Sch Med, Internal Med, Indianapolis, IN 46202 USA
[5] Regentrief Inst, Hlth Serv Res, Indianapolis, IN 46202 USA
[6] Indiana Univ Sch Med, Biostat, Indianapolis, IN 46202 USA
[7] San Francisco VA Med Ctr, Dept Gen Internal Med, San Francisco, CA USA
[8] San Francisco VA Med Ctr, Dept Vet Affairs, San Francisco, CA USA
[9] Univ Nebraska Med Ctr, Coll Publ Hlth, Dept Biostat, Omaha, NE USA
[10] Purdue Univ, Dept Pharm Practice, Coll Pharm, W Lafayette, IN 47907 USA
[11] Indiana Univ Sch Med, Emergency Med, Indianapolis, IN 46202 USA
[12] Purdue Univ Syst, Sch Nursing, W Lafayette, IN USA
来源
BMJ OPEN | 2021年 / 11卷 / 03期
关键词
COVID-19; adult intensive & critical care; general medicine (see internal medicine);
D O I
10.1136/bmjopen-2020-044646
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective 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. Design Observational cohort study with multilevel mixed effects logistic regression modelling. Setting The Veterans Health Administration (VA) is the largest healthcare system in the USA. Participants Patients with COVID-19. Main outcome All-cause mortality within 45 days after COVID-19 testing (March-May, follow-up through 16 July 2020). Results 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). Conclusions 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.
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页数:11
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