Heterogeneity in COVID-19 patient volume, characteristics and outcomes across US Department of Veterans Affairs facilities: an observational cohort study
Laura J Myers,
Dawn M Bravata,
Ying Zhang,
Alan J Zillich,
Greg Arling,
Salomeh Keyhani,
Anthony J Perkins,
Andrew Dysangco,
Reese Lindsey,
Dev Sharmitha,
Jennifer Myers,
Charles Austin,
Ali Sexson
Affiliations
Laura J Myers
Center for Health Information and Communication (CHIC), Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13-416, Indianapolis, Indiana, USA
Dawn M Bravata
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
Ying Zhang
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
Alan J Zillich
Department of Pharmacy Practice, College of Pharmacy, Purdue University, West Lafayette, Indiana, USA
Greg Arling
School of Nursing, Purdue University, West Lafayette, Indiana, USA
Salomeh Keyhani
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
Anthony J Perkins
VA HSR&D Precision Monitoring to Transform Care (PRISM) Quality Enhancement Research Initiative, Richard L Roudebush VA Medical Center, Indianapolis, Indiana, USA
Andrew Dysangco
Medicine Service, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana, USA
Reese Lindsey
Medicine Service, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana, USA
Dev Sharmitha
VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center, Indianapolis, Indiana, USA
Jennifer Myers
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
Charles Austin
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
Ali Sexson
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
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.