Evidence map›Paper›PMID 33877426›Full record

ArticleMedizinische Klinik, Intensivmedizin und Notfallmedizin2022

[Management of COVID-19 mass casualty incidents in nursing and retirement homes].

Wolfgang Schreiber, Philipp Wolf, Nicole Bigalke, Marc U Bigalke, Bernhard M Graf, Michael S Dittmar

Open access · greenAbstract readCase Reports
In one paragraph

Article in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 100% of its field
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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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 at 3 institutions in 1 country.

Wolfgang SchreiberZweckverband für Rettungsdienst und Feuerwehralarmierung Amberg, Amberg, Deutschland.
Philipp WolfKlinik für Anästhesiologie, Universitätsklinikum Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Deutschland.
Nicole BigalkeZweckverband für Rettungsdienst und Feuerwehralarmierung Amberg, Amberg, Deutschland.
Marc U BigalkeZentrale Notaufnahme, Klinikum St. Marien Amberg, Amberg, Deutschland.
Bernhard M GrafKlinik für Anästhesiologie, Universitätsklinikum Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Deutschland.
Michael S DittmarKlinik für Anästhesiologie, Universitätsklinikum Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Deutschland. michael.dittmar@ukr.de.
Feuerwehr Dortmund · DEUniversity Hospital Regensburg · DEKlinikum St. Marien Amberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the coronavirus disease 2019 (COVID-19) pandemic, outbreaks in inpatient care facilities, which grow into a large-scale emergency scenario, are frequently observed. A standardized procedure analogous to algorithms for mass casualty incidents (MCI) is lacking.

methodsBased on a case report and the literature, the authors present a management strategy for infectious MCI during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic and distinguish it from traumatic MCI deployment tactics.

resultsThis management strategy can be divided into three phases, beginning with the acute emergency response including triage, stabilization of critical patients, and transport of patients requiring hospitalization. Phase 2 involves securing the facility's operational readiness, or housing residents elsewhere in case staff are infected or quarantined to a relevant degree. Phase 3 marks the return to regular operations. DISCUSSION: Phase 1 is based on usual MCI principles, phase 2 on hospital crisis management. Avoiding evacuation of residents to relieve hospitals is an important operational objective. The lack of mission and training experience with such situations, the limited applicability of established triage algorithms, and the need to coordinate a large number of participants pose challenges.

conclusionThis strategic model offers a practical, holistic approach to the management of infectious mass casualty scenarios in nursing facilities.

Indexed as

COVID-19Disaster PlanningEmergency Medical ServicesMass Casualty IncidentsHumansRetirementSARS-CoV-2TriageDisease outbreaksEmergency medical servicesMass casualty incidentsResidential facilitiesSARS-CoV‑2

Identifiers

PMID33877426
PMCPMC8056363
OpenAlexW3153685744

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.