TY - JOUR
T1 - The Regional Impact of COVID-19 on U.S. Academic Medical Centers
T2 - Lessons for Public Health Emergency Preparedness and Response
AU - Wilkins, Thad
AU - Walsh, David
AU - Xie, Ding
AU - Waller, Jennifer
AU - Coule, Phillip
AU - Seehusen, Dean
N1 - Publisher Copyright:
© The Author(s), 2025.
PY - 2025/10/13
Y1 - 2025/10/13
N2 - Objective To evaluate the hospital-level impact of the COVID-19 pandemic on U.S. academic medical centers (AMCs) and assess regional variation in care delivery to inform public health emergency preparedness strategies. Methods We retrospectively analyzed adult inpatient discharges from 106 AMCs using Vizient® Clinical Data Base from October 2019 to December 2023. The study period was divided into pre-COVID (Oct 2019-Mar 2020), early-COVID (Apr 2020-Dec 2020), late-COVD (Jan 2021-May 2023), and post-COVID (Jun-Dec 2023). Outcomes included hospital encounters, length of stay (LOS), ICU admissions, ICU LOS, mortality, and case mix index (CMI). Mixed models assessed temporal and regional variation. Results Among 13.5 million discharges, monthly encounters declined during early COVID and rebounded post-COVID (P < 0.0001). Observed LOS increased from 6.2 to 6.7 days during the pandemic and remained elevated post-COVID (P < 0.0001). ICU LOS rose during early and late COVID (P < 0.0001), while ICU admission rates declined slightly over time (P = 0.0112). Mortality peaked at 3.4% during early COVID and returned to 2.8% post-COVID (P < 0.0001). Conclusions The COVID-19 pandemic significantly disrupted inpatient operations at U.S. AMCs, with increased LOS, ICU burden, and case complexity. By segmenting the pandemic into phases, we identified patterns in hospital performance that reflect evolving public health challenges.
AB - Objective To evaluate the hospital-level impact of the COVID-19 pandemic on U.S. academic medical centers (AMCs) and assess regional variation in care delivery to inform public health emergency preparedness strategies. Methods We retrospectively analyzed adult inpatient discharges from 106 AMCs using Vizient® Clinical Data Base from October 2019 to December 2023. The study period was divided into pre-COVID (Oct 2019-Mar 2020), early-COVID (Apr 2020-Dec 2020), late-COVD (Jan 2021-May 2023), and post-COVID (Jun-Dec 2023). Outcomes included hospital encounters, length of stay (LOS), ICU admissions, ICU LOS, mortality, and case mix index (CMI). Mixed models assessed temporal and regional variation. Results Among 13.5 million discharges, monthly encounters declined during early COVID and rebounded post-COVID (P < 0.0001). Observed LOS increased from 6.2 to 6.7 days during the pandemic and remained elevated post-COVID (P < 0.0001). ICU LOS rose during early and late COVID (P < 0.0001), while ICU admission rates declined slightly over time (P = 0.0112). Mortality peaked at 3.4% during early COVID and returned to 2.8% post-COVID (P < 0.0001). Conclusions The COVID-19 pandemic significantly disrupted inpatient operations at U.S. AMCs, with increased LOS, ICU burden, and case complexity. By segmenting the pandemic into phases, we identified patterns in hospital performance that reflect evolving public health challenges.
KW - COVID-19
KW - ICU utilization
KW - academic medical centers
KW - case mix index
KW - disaster preparedness
KW - health system resilience
KW - length of stay
KW - mortality
KW - regional variation
KW - surge capacity
UR - https://www.scopus.com/pages/publications/105018527678
UR - https://www.scopus.com/pages/publications/105018527678#tab=citedBy
U2 - 10.1017/dmp.2025.10217
DO - 10.1017/dmp.2025.10217
M3 - Article
C2 - 41078000
AN - SCOPUS:105018527678
SN - 1935-7893
VL - 19
JO - Disaster medicine and public health preparedness
JF - Disaster medicine and public health preparedness
M1 - e292
ER -