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Regional responsibility and coordination of appropriate inpatient care capacities for patients with COVID-19 - the German DISPENSE model.
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.
Afiliação
  • Lünsmann BJ; Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
  • Polotzek K; Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
  • Kleber C; University Center of Orthopaedic, Trauma and Plastic Surgery, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Gebler R; Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
  • Bierbaum V; Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
  • Walther F; Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
  • Baum F; Quality and Medical Risk Management, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
  • Juncken K; Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
  • Forkert C; Clinic for Infectious Diseases and Tropical Medicine, Klinikum Chemnitz, Chemnitz, Germany.
  • Lange T; Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
  • Held HC; Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
  • Mogwitz A; Department of Anesthesia and Critical Care Medicine, Leipzig University Hospital, Leipzig, Germany.
  • Weidemann RR; University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
  • Sedlmayr M; University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
  • Lakowa N; Institute for Medical Informatics and Biometry, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
  • Stehr SN; Clinic for Infectious Diseases and Tropical Medicine, Klinikum Chemnitz, Chemnitz, Germany.
  • Albrecht M; Department of Anesthesia and Critical Care Medicine, Leipzig University Hospital, Leipzig, Germany.
  • Karschau J; University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
  • Schmitt J; Center for Evidence-based Healthcare, University Hospital Dresden and Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
PLoS One ; 17(1): e0262491, 2022.
Article em En | MEDLINE | ID: mdl-35085297
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aceitação pelo Paciente de Cuidados de Saúde / Previsões / Hospitalização Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: PLoS One Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aceitação pelo Paciente de Cuidados de Saúde / Previsões / Hospitalização Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: PLoS One Ano de publicação: 2022 Tipo de documento: Article