Evidence map›Paper›PMID 35085297›Full record

ArticlePloS one2022

Regional responsibility and coordination of appropriate inpatient care capacities for patients with COVID-19 - the German DISPENSE model.

Benedict J Lünsmann, Katja Polotzek, Christian Kleber, Richard Gebler, Veronika Bierbaum, Felix Walther, Fabian Baum, Kathleen Juncken, Christoph Forkert, Toni Lange and 9 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Analyzing and predicting patient admissions related to acute heat at the Chemnitz Hospital (Germany).Archives of public health = Archives belges de sante publique · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

19 authors.

Benedict J LünsmannCenter for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.ORCID 0000-0002-0580-0598
Katja PolotzekCenter for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.ORCID 0000-0002-4023-6654
Christian KleberUniversity Center of Orthopaedic, Trauma and Plastic Surgery, University Hospital Carl Gustav Carus, Dresden, Germany.
Richard GeblerInstitute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
Veronika BierbaumCenter for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
Felix WaltherCenter for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.ORCID 0000-0002-5259-124X
Fabian BaumCenter for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
Kathleen JunckenClinic for Infectious Diseases and Tropical Medicine, Klinikum Chemnitz, Chemnitz, Germany.
Christoph ForkertCenter for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
Toni LangeCenter for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
Hanns-Christoph HeldDepartment of Anesthesia and Critical Care Medicine, Leipzig University Hospital, Leipzig, Germany.
Andreas MogwitzUniversity Hospital Carl Gustav Carus Dresden, Dresden, Germany.
Robin R WeidemannUniversity Hospital Carl Gustav Carus Dresden, Dresden, Germany.
Martin SedlmayrInstitute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
Nicole LakowaClinic for Infectious Diseases and Tropical Medicine, Klinikum Chemnitz, Chemnitz, Germany.
Sebastian N StehrDepartment of Anesthesia and Critical Care Medicine, Leipzig University Hospital, Leipzig, Germany.
Michael AlbrechtUniversity Hospital Carl Gustav Carus Dresden, Dresden, Germany.
Jens KarschauCenter for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.ORCID 0000-0002-6407-6667
Jochen SchmittCenter for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As of late 2019, the COVID-19 pandemic has been a challenge to health care systems worldwide. Rapidly rising local COVID-19 incidence rates, result in demand for high hospital and intensive care bed capacities on short notice. A detailed up-to-date regional surveillance of the dynamics of the pandemic, precise prediction of required inpatient capacities of care as well as a centralized coordination of the distribution of regional patient fluxes is needed to ensure optimal patient care. In March 2020, the German federal state of Saxony established three COVID-19 coordination centers located at each of its maximum care hospitals, namely the University Hospitals Dresden and Leipzig and the hospital Chemnitz. Each center has coordinated inpatient care facilities for the three regions East, Northwest and Southwest Saxony with 36, 18 and 29 hospital sites, respectively. Fed by daily data flows from local public health authorities capturing the dynamics of the pandemic as well as daily reports on regional inpatient care capacities, we established the information and prognosis tool DISPENSE. It provides a regional overview of the current pandemic situation combined with daily prognoses for up to seven days as well as outlooks for up to 14 days of bed requirements. The prognosis precision varies from 21% and 38% to 12% and 15% relative errors in normal ward and ICU bed demand, respectively, depending on the considered time period. The deployment of DISPENSE has had a major positive impact to stay alert for the second wave of the COVID-19 pandemic and to allocate resources as needed. The application of a mathematical model to forecast required bed capacities enabled concerted actions for patient allocation and strategic planning. The ad-hoc implementation of these tools substantiates the need of a detailed data basis that enables appropriate responses, both on regional scales in terms of clinic resource planning and on larger scales concerning political reactions to pandemic situations.

Indexed as

COVID-19Critical CareDelivery of Health CareForecastingGermanyHospitalizationHumansInpatientsIntensive Care UnitsModels, TheoreticalPandemicsPatient Acceptance of Health CareSARS-CoV-2

Identifiers

PMID35085297
PMCPMC8794159

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.