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 in | PloS one Vol. 17; no. 1; p. e0262491 |
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Main Authors | , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Public Library of Science
27.01.2022
Public Library of Science (PLoS) |
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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. |
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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 |
AuthorAffiliation_xml | – name: 4 Quality and Medical Risk Management, University Hospital Carl Gustav Carus Dresden, Dresden, Germany – name: 1 Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany – name: 7 University Hospital Carl Gustav Carus Dresden, Dresden, Germany – name: Kaohsuing Medical University Hospital, TAIWAN – name: 3 Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany – name: 6 Department of Anesthesia and Critical Care Medicine, Leipzig University Hospital, Leipzig, Germany – name: 2 University Center of Orthopaedic, Trauma and Plastic Surgery, University Hospital Carl Gustav Carus, Dresden, Germany – name: 5 Clinic for Infectious Diseases and Tropical Medicine, Klinikum Chemnitz, Chemnitz, Germany |
Author_xml | – sequence: 1 givenname: Benedict J orcidid: 0000-0002-0580-0598 surname: Lünsmann fullname: Lünsmann, Benedict J organization: Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany – sequence: 2 givenname: Katja orcidid: 0000-0002-4023-6654 surname: Polotzek fullname: Polotzek, Katja organization: Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany – sequence: 3 givenname: Christian surname: Kleber fullname: Kleber, Christian organization: University Center of Orthopaedic, Trauma and Plastic Surgery, University Hospital Carl Gustav Carus, Dresden, Germany – sequence: 4 givenname: Richard surname: Gebler fullname: Gebler, Richard organization: Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany – sequence: 5 givenname: Veronika surname: Bierbaum fullname: Bierbaum, Veronika organization: Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany – sequence: 6 givenname: Felix orcidid: 0000-0002-5259-124X surname: Walther fullname: Walther, Felix organization: Quality and Medical Risk Management, University Hospital Carl Gustav Carus Dresden, Dresden, Germany – sequence: 7 givenname: Fabian surname: Baum fullname: Baum, Fabian organization: Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany – sequence: 8 givenname: Kathleen surname: Juncken fullname: Juncken, Kathleen organization: Clinic for Infectious Diseases and Tropical Medicine, Klinikum Chemnitz, Chemnitz, Germany – sequence: 9 givenname: Christoph surname: Forkert fullname: Forkert, Christoph organization: Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany – sequence: 10 givenname: Toni surname: Lange fullname: Lange, Toni organization: Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany – sequence: 11 givenname: Hanns-Christoph surname: Held fullname: Held, Hanns-Christoph organization: Department of Anesthesia and Critical Care Medicine, Leipzig University Hospital, Leipzig, Germany – sequence: 12 givenname: Andreas surname: Mogwitz fullname: Mogwitz, Andreas organization: University Hospital Carl Gustav Carus Dresden, Dresden, Germany – sequence: 13 givenname: Robin R surname: Weidemann fullname: Weidemann, Robin R organization: University Hospital Carl Gustav Carus Dresden, Dresden, Germany – sequence: 14 givenname: Martin surname: Sedlmayr fullname: Sedlmayr, Martin organization: Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany – sequence: 15 givenname: Nicole surname: Lakowa fullname: Lakowa, Nicole organization: Clinic for Infectious Diseases and Tropical Medicine, Klinikum Chemnitz, Chemnitz, Germany – sequence: 16 givenname: Sebastian N surname: Stehr fullname: Stehr, Sebastian N organization: Department of Anesthesia and Critical Care Medicine, Leipzig University Hospital, Leipzig, Germany – sequence: 17 givenname: Michael surname: Albrecht fullname: Albrecht, Michael organization: University Hospital Carl Gustav Carus Dresden, Dresden, Germany – sequence: 18 givenname: Jens orcidid: 0000-0002-6407-6667 surname: Karschau fullname: Karschau, Jens organization: Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany – sequence: 19 givenname: Jochen surname: Schmitt fullname: Schmitt, Jochen organization: Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35085297$$D View this record in MEDLINE/PubMed |
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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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ContentType | Journal Article |
Copyright | COPYRIGHT 2022 Public Library of Science 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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DocumentTitleAlternate | Regional coordination of inpatient care capacities for patients with COVID-19 – the German DISPENSE model |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 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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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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