Entwicklung und Validierung potenzieller Strukturindikatoren zur Evaluierung des klinisch-infektiologischen Versorgungsangebots in deutschen Krankenhäusern während der COVID-19-Pandemie

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Lene Tscharntke - , Universität zu Köln (Autor:in)
  • Melanie Stecher - , Universität zu Köln, Deutsche Zentrum für Infektionsforschung (Autor:in)
  • Annika Y. Classen - , Universität zu Köln, Deutsche Zentrum für Infektionsforschung (Autor:in)
  • Norma Jung - , Universität zu Köln (Autor:in)
  • Lukas Eberwein - , Klinikum Leverkusen (Autor:in)
  • Anette Friedrichs - , Christian-Albrechts-Universität zu Kiel (CAU) (Autor:in)
  • Hartwig Klinker - , Julius-Maximilians-Universität Würzburg (Autor:in)
  • Maximilian J. Schons - , Universität zu Köln (Autor:in)
  • Christoph D. Spinner - , Technische Universität München (Autor:in)
  • Maria J.G.T. Vehreschild - , Deutsche Zentrum für Infektionsforschung, Universitätsklinikum Frankfurt (Autor:in)
  • Katja de With - , Klinische Infektiologie, Universitätsklinikum Carl Gustav Carus Dresden (Autor:in)
  • Jörg J. Vehreschild - , Universität zu Köln, Deutsche Zentrum für Infektionsforschung, Universitätsklinikum Frankfurt (Autor:in)

Abstract

Introduction: This study describes the development and validation of structure indicators for clinical infectious disease (ID) care in German hospitals, which is important to adequately face the future challenges in ID medicine. Methods: A team of experts developed the structure indicators in a three-stage, multicriteria decision-making process: (1) identification of potential structure indicators based on a literature review, (2) written assessment process, and (3) face-to-face discussion to reach consensus and final selection of appropriate structure indicators. A field study was conducted to assess the developed structure indicators. A score based on the structure indicators was determined for each hospital and validated via receiver operator characteristic (ROC) curves using externally validated ID expertise (German Society of ID (DGI) Centre). Results: Based on a list of 45 potential structure indicators, 18 suitable indicators were developed for clinical ID care structures in German hospitals. Out of these, ten key indicators were defined for the general and coronavirus disease 2019- (COVID-19-) specific clinical ID care structures. In the field survey of clinical ID care provision for COVID-19 patients in 40 German hospitals, the participating facilities achieved 0 to 9 points (median 4) in the determined score. The area under the ROC curve was 0.893 (95% CI: 0.797, 0.988; p < 0.001). Discussion/Conclusion: The structure indicators developed within the framework of a transparent and established development process can be used in the future to both capture the current state and future developments of ID care quality in Germany and enable comparisons.

Details

OriginalspracheDeutsch
Seiten (von - bis)12-21
Seitenumfang10
FachzeitschriftZeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen
Jahrgang176
PublikationsstatusVeröffentlicht - Feb. 2023
Peer-Review-StatusJa

Externe IDs

PubMed 36754716
Mendeley be27404c-a316-355a-bf17-26219d80bc7b
WOS 001061625100001
ORCID /0000-0001-9473-3018/work/148606193

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • COVID-19, Health care quality, Healthcare research, Infectious diseases, Quality indicators, Hospitals, Pandemics, Humans, Communicable Diseases, Germany, COVID-19, Health care quality, Healthcare research, Infectious diseases, Quality indicators, Covid-19