Evidence map›Paper›PMID 39639372›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2024

A temporary hospital intensive care unit: a preparedness concept to increase intensive care capacity.

Øyvind Østerås, Stian Almeland, Håvard Landsdalen, Stig Gjerde, Jan Knudtzon Sommerfelt-Pettersen, Hans Flaatten

Abstract read
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Øyvind ØsteråsDepartment of Anaesthesia and Intensive Care, Haukeland University Hospital, Bergen, Norway. oyvind.osteras@uib.no.
Stian AlmelandDepartment of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway.
Håvard LandsdalenDepartment of Anaesthesia and Intensive Care, Haukeland University Hospital, Bergen, Norway.
Stig GjerdeDepartment of Anaesthesia and Intensive Care, Haukeland University Hospital, Bergen, Norway.
Jan Knudtzon Sommerfelt-PettersenHaukeland University Hospital, Bergen, Norway.
Hans FlaattenDepartment of Research and Development, Haukeland University Hospital, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNorway faced the possibility of the most significant strain on its intensive care capacity in decades during the COVID-19 pandemic. All Regional Health Authorities in Norway were instructed to prepare for an increase in Intensive Care Units (ICU) capacity demands. To address the surge in demand for critical care, a gymnasium within Haukeland University Hospital premises was planned to be used as a 20-bed temporary ICU. A team-based care approach was trained, where non-ICU nurses received specialized training to support ICU procedures. Maintaining up-to-date medical devices and consumables stored for preparedness through a planned rotation system that feeds into daily use are important. While shortages of medical equipment, hospital beds, and intensive care facilities may occur, personnel shortages are likely to be more significant.

conclusionsThe concept demonstrates promising potential in enhancing preparedness and maintaining critical care surge capacity during pandemics or mass casualty incidents.

Indexed as

COVID-19Intensive Care UnitsSARS-CoV-2Surge CapacityCritical CareHumansMass Casualty IncidentsNorwayPandemicsCOVID-19Critical careEmergency preparednessIntensive care unit

Identifiers

PMID39639372
PMCPMC11619676

What OpenQuestion holds

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Registered trials

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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.