Dynamic assessment of surge capacity in a large hospital network during COVID-19 pandemic

Minerva Anestesiol. 2022 Nov;88(11):928-938. doi: 10.23736/S0375-9393.22.16460-6. Epub 2022 Jul 5.

Abstract

Background: The COVID-19 pandemic has provided an unprecedented scenario to deepen knowledge of surge capacity (SC), assessment of which remains a challenge. This study reports a large-scale experience of a multi-hospital network, with the aim of evaluating the characteristics of different hospitals involved in the response and of measuring a real-time SC based on two complementary modalities (actual, base) referring to the intensive care units (ICU).

Methods: Data analysis referred to two consecutive pandemic waves (March-December 2020). Regarding SC, two different levels of analysis are considered: single hospital category (referring to a six-level categorization based on the number of hospital beds) and multi-hospital wide (referring to the response of the entire hospital network).

Results: During the period of 114 days, the analysis revealed a key role of the biggest hospitals (>Category-4) in terms of involvement in the pandemic response. In terms of SC, Category-4 hospitals showed the highest mean SC values, irrespective of the calculation method and level of analysis. At the multi-hospital level, the analysis revealed an overall ICU-SC (base) of 84.4% and an ICU-SC (actual) of 106.5%.

Conclusions: The results provide benchmarks to better understand ICU hospital response capacity, highlighting the need for a more flexible approach to SC definition.

MeSH terms

  • COVID-19*
  • Hospital Bed Capacity
  • Hospitals
  • Humans
  • Intensive Care Units
  • Pandemics
  • Surge Capacity*