Evidence map›Paper›PMID 33293100›Full record

ArticleRevista espanola de anestesiologia y reanimacion2021

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

T Bardi, M Gómez-Rojo, A M Candela-Toha, R de Pablo, R Martinez, D Pestaña

Abstract read
In one paragraph

Article in Revista espanola de anestesiologia y reanimacion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Simulation of the COVID-19 handling policy in Indonesia.Journal of public health in Africa · 2023
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

T BardiServicio de Anestesiología y Reanimación, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, España. Electronic address: tommaso.bardi@gmail.com.
M Gómez-RojoServicio de Anestesiología y Reanimación, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, España.
A M Candela-TohaServicio de Anestesiología y Reanimación, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, España.
R de PabloServicio de Medicina Intensiva, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, España.
R MartinezDirección Médica, Hospital Universitario Ramón y Cajal, Madrid, España.
D PestañaServicio de Anestesiología y Reanimación, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, España; Universidad de Alcalá, Alclá de Henares, Madrid, España.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA 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

methodsThe data displayed originated from the hospital information system and the hospital contingency plan.

resultsThe 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.

conclusionsHospital 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.

Indexed as

EpidemicsBedsCOVID-19HumansIntensive Care UnitsSpainSurge CapacityTime FactorsAdministración de sanidadAdministration of health servicesCapacidad suplementaria (hospitalaria)COVID-19Fallo respiratorioHospital preparednessPandemiaPandemicsPreparación hospitalariaRespiratory failureSurge capacity

Identifiers

PMID33293100
PMCPMC7531592

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.