Acute Care Resource Use After Elective Surgery in the United States: Implications During the COVID-19 Pandemic.

Journal Article (Journal Article)

BACKGROUND: The COVID-19 pandemic created pressure to delay inpatient elective surgery to increase US health care capacity. This study examined the extent to which common inpatient elective operations consume acute care resources. METHODS: This cross-sectional study used the Premier Healthcare Database to examine the distribution of inpatient elective operations in the United States from the fourth quarter of 2015 through the second quarter of 2018. Primary outcomes were measures of acute care use after 4 common elective operations: joint replacement, spinal fusion, bariatric surgery, and coronary artery bypass grafting. A framework for matching changing demand with changes in supply was created by overlaying acute care data with publicly available outbreak capacity data. RESULTS: Elective coronary artery bypass grafting (n = 117 423) had the highest acute care use: 92.8% of patients used intensive care unit beds, 89.1% required postoperative mechanical ventilation, 41.0% required red blood cell transfusions, and 13.3% were readmitted within 90 days of surgery. Acute care use was also substantial after spinal fusion (n = 203 789): 8.3% of patients used intensive care unit beds, 2.2% required postoperative mechanical ventilation, 9.2% required red blood cell transfusions, and 9.3% were readmitted within 90 days of surgery. An example of a framework for matching hospital demand with elective surgery supply is provided. CONCLUSIONS: Acute care needs after elective surgery in the United States are consistent and predictable. When these data are overlaid with national hospital capacity models, rational decisions regarding matching supply to demand can be achieved to meet changing needs.

Full Text

Duke Authors

Cited Authors

  • Krishnamoorthy, V; Ohnuma, T; Bartz, R; Fuller, M; Khandelwal, N; Haines, K; Scales, C; Raghunathan, K

Published Date

  • July 1, 2021

Published In

Volume / Issue

  • 30 / 4

Start / End Page

  • 320 - 324

PubMed ID

  • 33912897

Electronic International Standard Serial Number (EISSN)

  • 1937-710X

Digital Object Identifier (DOI)

  • 10.4037/ajcc2021818

Language

  • eng

Conference Location

  • United States