ABSTRACT
OBJECTIVE: We sought to quantify the financial impact of elective surgery cancellations in the US during COVID-19 and simulate hospitals' recovery times from a single period of surgery cessation. BACKGROUND: COVID-19 in the US resulted in cessation of elective surgery-a substantial driver of hospital revenue-and placed patients at risk and hospitals under financial stress. We sought to quantify the financial impact of elective surgery cancellations during the pandemic and simulate hospitals' recovery times. METHODS: Elective surgical cases were abstracted from the Nationwide Inpatient Sample (2016-2017). Time series were utilized to forecast March-May 2020 revenues and demand. Sensitivity analyses were conducted to calculate the time to clear backlog cases and match expected ongoing demand in the post-COVID period. Subset analyses were performed by hospital region and teaching status. RESULTS: National revenue loss due to major elective surgery cessation was estimated to be $22.3 billion (B). Recovery to market equilibrium was conserved across strata and influenced by pre- and post-COVID capacity utilization. Median recovery time was 12-22âmonths across all strata. Lower pre-COVID utilization was associated with fewer months to recovery. CONCLUSIONS: Strategies to mitigate the predicted revenue loss of $22.3B due to major elective surgery cessation will vary with hospital-specific supply-demand equilibrium. If patient demand is slow to return, hospitals should focus on marketing of services; if hospital capacity is constrained, efficient capacity expansion may be beneficial. Finally, rural and urban nonteaching hospitals may face increased financial risk which may exacerbate care disparities.