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INDEED-Utilization and Cross-Sectoral Patterns of Care for Patients Admitted to Emergency Departments in Germany: Rationale and Study Design.
Fischer-Rosinský, Antje; Slagman, Anna; King, Ryan; Reinhold, Thomas; Schenk, Liane; Greiner, Felix; von Stillfried, Dominik; Zimmermann, Grit; Lüpkes, Christian; Günster, Christian; Baier, Natalie; Henschke, Cornelia; Roll, Stephanie; Keil, Thomas; Möckel, Martin.
Affiliation
  • Fischer-Rosinský A; Emergency and Acute Medicine (Charité Virchow Klinikum-CVK, Charite Campus Mitte-CCM), Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Slagman A; Emergency and Acute Medicine (Charité Virchow Klinikum-CVK, Charite Campus Mitte-CCM), Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • King R; Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Reinhold T; Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Schenk L; Institute of Medical Sociology and Rehabilitation Science, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Greiner F; Department of Trauma Surgery, Otto von Guericke University Magdeburg, Magdeburg, Germany.
  • von Stillfried D; Central Research Institute for Ambulatory Health Care in Germany (Zi), Berlin, Germany.
  • Zimmermann G; TMF-Technology, Methods, and Infrastructure for Networked Medical Research, Berlin, Germany.
  • Lüpkes C; OFFIS-Institute for Information Technology, Oldenburg, Germany.
  • Günster C; Allgemeine Ortskrankenkasse (AOK) Research Institute-Wissenschaftliches Institut der AOK (WIdO), Berlin, Germany.
  • Baier N; Kiel Institute for World Economy, Kiel, Germany.
  • Henschke C; Department of Health Care Management, Berlin University of Technology, Berlin, Germany.
  • Roll S; Department of Health Care Management, Berlin University of Technology, Berlin, Germany.
  • Keil T; Faculty of Health Sciences Brandenburg, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany.
  • Möckel M; Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Front Public Health ; 9: 616857, 2021.
Article in En | MEDLINE | ID: mdl-33937166
Introduction: The crowding of emergency departments (ED) has been a growing problem for years, putting the care of critically ill patients increasingly at risk. The INDEED project's overall aim is to get a better understanding of ED utilization and to evaluate corresponding primary health care use patterns before and after an ED visit while driving forward processes and methods of cross-sectoral data merging. We aim to identify adequate utilization of EDs and potentially avoidable patient contacts as well as subgroups and clusters of patients with similar care profiles. Methods: INDEED is a joint endeavor bringing together research institutions and hospitals with EDs in Germany. It is headed by the Charité-Universitätsmedizin Berlin, collaborating with Otto von Guericke University Magdeburg, Technische Universität Berlin, the Central Research Institute of Ambulatory/Outpatient Health Care in Germany (Zi), and the AOK Research Institute as part of the Federal Association of AOK, as well as experts in the technological, legal, and regulatory aspects of medical research (TMF). The Institute for Information Technology (OFFIS) was involved as the trusted third party of the project. INDEED is a retrospective study of approximately 400,000 adult patients with statutory health insurance who visited the ED of one of 16 participating hospitals in 2016. The routine hospital data contain information about treatment in the ED and, if applicable, about the subsequent hospital stay. After merging the patients' hospital data from 2016 with their outpatient billing data from 2 years before to 1 year after the ED visit (years 2014-2017), a harmonized dataset will be generated for data analyses. Due to the complex data protection challenges involved, first results will be available in 2021. Discussion: INDEED will provide knowledge on extracting and harmonizing large scale data from varying routine ED and hospital information systems in Germany. Merging these data with the corresponding outpatient care data of patients offers the opportunity to characterize the patient's treatment in outpatient care before and after ED use. With this knowledge, appropriate interventions may be developed to ensure adequate patient care and to avoid adverse events such as ED crowding.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Emergency Service, Hospital / Hospitalization Type of study: Observational_studies / Risk_factors_studies Limits: Adult / Humans Country/Region as subject: Europa Language: En Journal: Front Public Health Year: 2021 Document type: Article Affiliation country: Germany Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Emergency Service, Hospital / Hospitalization Type of study: Observational_studies / Risk_factors_studies Limits: Adult / Humans Country/Region as subject: Europa Language: En Journal: Front Public Health Year: 2021 Document type: Article Affiliation country: Germany Country of publication: Switzerland