Rapid response to COVID-19, escalation and de-escalation strategies to match surge capacity of Intensive Care beds to a large scale epidemic

Rev Esp Anestesiol Reanim (Engl Ed). 2021 Jan;68(1):21-27. doi: 10.1016/j.redar.2020.09.003. Epub 2020 Oct 2.
[Article in English, Spanish]

Abstract

Background: A major challenge during the COVID-19 outbreak is the sudden increase in ICU bed occupancy rate. In this article we reviewed the strategies of escalation and de-escalation put in place at a large university hospital in Madrid during the COVID-19 outbreak, in order to meet the growing demand of ICU beds.

Materials and methods: The data displayed originated from the hospital information system and the hospital contingency plan.

Results: The COVID-19 outbreak produced a surge of ICU patients which saturated the available ICU capacity within a few days. A total of four new ICUs had to be opened in order to accommodate all necessary new ICU admissions. Management challenges included infrastructure, material allocation and ICU staffing. Through the strategies put in place the hospital was able to generate a surge capacity of ICU beds of 340%, meet all requirements and also maintain minimal surgical activity.

Conclusions: Hospital surge capacity is to date hardly quantifiable and often has to face physical limitations (material, personnel, spaces). However an extremely flexible and adaptable management strategy can help to overcome some of these limitations and stretch the system capacities during times of extreme need.

Keywords: Administración de sanidad; Administration of health services; COVID-19; Capacidad suplementaria (hospitalaria); Fallo respiratorio; Hospital preparedness; Pandemia; Pandemics; Preparación hospitalaria; Respiratory failure; Surge capacity.

MeSH terms

  • Beds / supply & distribution*
  • COVID-19 / epidemiology*
  • COVID-19 / therapy*
  • Epidemics* / prevention & control
  • Humans
  • Intensive Care Units / organization & administration*
  • Spain
  • Surge Capacity / organization & administration*
  • Time Factors