Evidence map›Paper›PMID 32780867›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2021

From intensive care to step-down units: Managing patients throughput in response to COVID-19.

Vanni Agnoletti, Emanuele Russo, Alessandro Circelli, Marco Benni, Giuliano Bolondi, Costanza Martino, Domenico P Santonastaso, Etrusca Brogi, Beniamino PraticÒ, Federico Coccolini and 3 more

Abstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 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. Flow-Sizing Critical Care Resources.Critical care medicine · 2023
    Article
  4. The Function of Bed Management in Pandemic Times-A Case Study of Reaction Time and Bed Reconversion.International journal of environmental research and public health · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Review
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

13 authors.

Vanni AgnolettiDepartment of Anesthesia and Intensive Care, M Bufalini Hospital, Viale Ghirotti 285, 47521, Cesena, Italy.
Emanuele RussoDepartment of Anesthesia and Intensive Care, M Bufalini Hospital, Viale Ghirotti 285, 47521, Cesena, Italy.
Alessandro CircelliDepartment of Anesthesia and Intensive Care, M Bufalini Hospital, Viale Ghirotti 285, 47521, Cesena, Italy.
Marco BenniDepartment of Anesthesia and Intensive Care, M Bufalini Hospital, Viale Ghirotti 285, 47521, Cesena, Italy.
Giuliano BolondiDepartment of Anesthesia and Intensive Care, M Bufalini Hospital, Viale Ghirotti 285, 47521, Cesena, Italy.
Costanza MartinoDepartment of Anesthesia and Intensive Care, M Bufalini Hospital, Viale Ghirotti 285, 47521, Cesena, Italy.
Domenico P SantonastasoDepartment of Anesthesia and Intensive Care, M Bufalini Hospital, Viale Ghirotti 285, 47521, Cesena, Italy.
Etrusca BrogiDepartment of Anesthesia and Intensive Care, University of Pisa, Via Piero Trivella, 56124, Pisa, Italy.
Beniamino PraticÒDepartment of Internal Medicine, M Bufalini Hospital, Viale Ghirotti 285, 47521, Cesena, Italy.
Federico CoccoliniDepartment of Surgery, University of Pisa, Via Piero Trivella, 56124, Pisa, Italy, and.
Paola FugazzolaGeneral, Emergency and Trauma Department, M Bufalini Hospital, Viale Ghirotti 285, 47521, Cesena, Italy.
Luca AnsaloniGeneral, Emergency and Trauma Department, M Bufalini Hospital, Viale Ghirotti 285, 47521, Cesena, Italy.
Emiliano GamberiniDepartment of Anesthesia and Intensive Care, M Bufalini Hospital, Viale Ghirotti 285, 47521, Cesena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

quality problem or issueThe on-going COVID-19 pandemic may cause the collapse of healthcare systems because of unprecedented hospitalization rates. INITIAL ASSESSMENT: A total of 8.2 individuals per 1000 inhabitants have been diagnosed with COVID-19 in our province. The hospital predisposed 110 beds for COVID-19 patients: on the day of the local peak, 90% of them were occupied and intensive care unit (ICU) faced unprecedented admission rates, fearing system collapse. CHOICE OF SOLUTION: Instead of increasing the number of ICU beds, the creation of a step-down unit (SDU) close to the ICU was preferred: the aim was to safely improve the transfer of patients and to relieve ICU from the risk of overload. IMPLEMENTATION: A nine-bed SDU was created next to the ICU, led by intensivists and ICU nurses, with adequate personal protective equipment, monitoring systems and ventilators for respiratory support when needed. A second six-bed SDU was also created. EVALUATION: Patients were clinically comparable to those of most reports from Western Countries now available in the literature. ICU never needed supernumerary beds, no patient died in the SDU, and there was no waiting time for ICU admission of critical patients. SDU has been affordable from human resources, safety and economic points of view. LESSONS LEARNED: COVID-19 is like an enduring mass casualty incident. Solutions tailored on local epidemiology and available resources should be implemented to preserve the efficiency and adaptability of our institutions and provide the adequate sanitary response.

Indexed as

Critical IllnessBed OccupancyCOVID-19HumansIntensive Care UnitsIntermediate Care FacilitiesItalyPandemicsSARS-CoV-2coronavirushospital bed capacityintensive care unitslength of staymass casualty incidentsstep-down units

Identifiers

PMID32780867
PMCPMC7454682

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.