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

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 pandem...

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Published inPloS one Vol. 17; no. 1; p. e0262491
Main Authors Lünsmann, Benedict J, Polotzek, Katja, Kleber, Christian, Gebler, Richard, Bierbaum, Veronika, Walther, Felix, Baum, Fabian, Juncken, Kathleen, Forkert, Christoph, Lange, Toni, Held, Hanns-Christoph, Mogwitz, Andreas, Weidemann, Robin R, Sedlmayr, Martin, Lakowa, Nicole, Stehr, Sebastian N, Albrecht, Michael, Karschau, Jens, Schmitt, Jochen
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 27.01.2022
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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.
AbstractList 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.
Audience Academic
Author Baum, Fabian
Juncken, Kathleen
Mogwitz, Andreas
Kleber, Christian
Lünsmann, Benedict J
Lange, Toni
Walther, Felix
Weidemann, Robin R
Polotzek, Katja
Gebler, Richard
Schmitt, Jochen
Lakowa, Nicole
Albrecht, Michael
Karschau, Jens
Stehr, Sebastian N
Bierbaum, Veronika
Sedlmayr, Martin
Forkert, Christoph
Held, Hanns-Christoph
AuthorAffiliation 3 Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany
7 University Hospital Carl Gustav Carus Dresden, Dresden, Germany
4 Quality and Medical Risk Management, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
2 University Center of Orthopaedic, Trauma and Plastic Surgery, University Hospital Carl Gustav Carus, Dresden, Germany
Kaohsuing Medical University Hospital, TAIWAN
5 Clinic for Infectious Diseases and Tropical Medicine, Klinikum Chemnitz, Chemnitz, Germany
1 Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany
6 Department of Anesthesia and Critical Care Medicine, Leipzig University Hospital, Leipzig, Germany
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  surname: Schmitt
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  organization: Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany
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CitedBy_id crossref_primary_10_1007_s10916_024_02071_1
crossref_primary_10_1371_journal_pone_0297039
crossref_primary_10_1186_s12913_023_10056_y
crossref_primary_10_1186_s12879_022_07302_9
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2022 Lünsmann et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2022 Lünsmann et al 2022 Lünsmann et al
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– notice: 2022 Lünsmann et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Competing Interests: Unrelated to this study, Jochen Schmitt received payments for consultations by Novartis, Lilly and Sanofi, and institutional grands for investigator-initiated research from Novartis, Sanofi, Pfizer, and ALK. Micheal Albrecht is CEO of the University Hospitals Carl Gustav Carus Dresden. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
JK and JS also contributed equally to this work.
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Snippet 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...
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SubjectTerms Biometrics
Capacity
Care and treatment
Computer and Information Sciences
Coordination
Coronaviruses
COVID-19
COVID-19 - epidemiology
Critical Care
Delivery of Health Care
Disease transmission
Emergency services
Forecasting - methods
Germany
Germany - epidemiology
Health care
Health informatics
Hospital patients
Hospitalization
Hospitalization - statistics & numerical data
Hospitalization - trends
Hospitals
Humans
Infectious diseases
Inpatients
Intensive Care Units
Management
Mathematical models
Medical prognosis
Medicine
Medicine and Health Sciences
Models, Theoretical
Pandemics
Pandemics - statistics & numerical data
Patient Acceptance of Health Care - statistics & numerical data
Patients
People and places
Prognosis
Public health
Quality management
Regional planning
Regions
SARS-CoV-2 - pathogenicity
Severe acute respiratory syndrome coronavirus 2
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Title Regional responsibility and coordination of appropriate inpatient care capacities for patients with COVID-19 - the German DISPENSE model
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http://dx.doi.org/10.1371/journal.pone.0262491
Volume 17
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