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Hospital-wide ELectronic medical record evaluated computerised decision support system to improve outcomes of Patients with staphylococcal bloodstream infection (HELP): study protocol for a multicentre stepped-wedge cluster randomised trial.
Hagel, Stefan; Gantner, Julia; Spreckelsen, Cord; Fischer, Claudia; Ammon, Danny; Saleh, Kutaiba; Phan-Vogtmann, Lo An; Heidel, Andrew; Müller, Susanne; Helhorn, Alexander; Kruse, Henner; Thomas, Eric; Rißner, Florian; Haferkamp, Silke; Vorwerk, Jens; Deffge, Saskia; Juzek-Küpper, Marc Fabian; Lippmann, Norman; Lübbert, Christoph; Trawinski, Henning; Wendt, Sebastian; Wendt, Thomas; Dürschmid, Andreas; Konik, Margarethe; Moritz, Stefan; Tiller, Daniel; Röhrig, Rainer; Schulte-Coerne, Jonas; Fortmann, Jonas; Jonas, Stephan; Witzke, Oliver; Rath, Peter-Michael; Pletz, Mathias W; Scherag, André.
Afiliação
  • Hagel S; Institute for Infectious Diseases and Infection Control, Jena University Hospital, Jena, Thüringen, Germany.
  • Gantner J; Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Jena, Thüringen, Germany.
  • Spreckelsen C; Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Jena, Thüringen, Germany.
  • Fischer C; Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Jena, Thüringen, Germany.
  • Ammon D; IT Department, Data Integration Center, Jena University Hospital, Jena, Thüringen, Germany.
  • Saleh K; IT Department, Data Integration Center, Jena University Hospital, Jena, Thüringen, Germany.
  • Phan-Vogtmann LA; Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Jena, Thüringen, Germany.
  • Heidel A; IT Department, Data Integration Center, Jena University Hospital, Jena, Thüringen, Germany.
  • Müller S; Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Jena, Thüringen, Germany.
  • Helhorn A; IT Department, Data Integration Center, Jena University Hospital, Jena, Thüringen, Germany.
  • Kruse H; IT Department, Data Integration Center, Jena University Hospital, Jena, Thüringen, Germany.
  • Thomas E; IT Department, Data Integration Center, Jena University Hospital, Jena, Thüringen, Germany.
  • Rißner F; Center for Clinical Studies, Jena University Hospital, Jena, Thüringen, Germany.
  • Haferkamp S; IT Department, Data Integration Center, University Hospital Aachen, Aachen, Nordrhein-Westfalen, Germany.
  • Vorwerk J; IT Department, Data Integration Center, University Hospital Aachen, Aachen, Nordrhein-Westfalen, Germany.
  • Deffge S; Department of Intensive and Intermediate Care, University Hospital Aachen, Aachen, Nordrhein-Westfalen, Germany.
  • Juzek-Küpper MF; Medical Faculty, Division of Infection Control and Infectious Diseases, University Hospital Aachen, Aachen, Nordrhein-Westfalen, Germany.
  • Lippmann N; Institute of Medical Microbiology and Epidemiology on Infectious Diseases, University Hospital Leipzig, Leipzig, Sachsen, Germany.
  • Lübbert C; Department of Gastroenterology and Rheumatology, Division of Infectious Diseases and Tropical Medicine, University Hospital Leipzig, Leipzig, Sachsen, Germany.
  • Trawinski H; Department of Gastroenterology and Rheumatology, Division of Infectious Diseases and Tropical Medicine, University Hospital Leipzig, Leipzig, Sachsen, Germany.
  • Wendt S; Department of Gastroenterology and Rheumatology, Division of Infectious Diseases and Tropical Medicine, University Hospital Leipzig, Leipzig, Sachsen, Germany.
  • Wendt T; IT Department, Data Integration Center, University Hospital Leipzig, Leipzig, Sachsen, Germany.
  • Dürschmid A; IT Department, Data Integration Center, University Hospital Leipzig, Leipzig, Sachsen, Germany.
  • Konik M; Department of Nephrology, Clinic for Infectiology, University of Duisburg-Essen, Essen, Nordrhein-Westfalen, Germany.
  • Moritz S; Section of Clinical Infectious Diseases, University Hospital Halle, Halle, Sachsen-Anhalt, Germany.
  • Tiller D; IT Department, Data Integration Center, University Hospital Halle, Halle, Sachsen-Anhalt, Germany.
  • Röhrig R; Institute of Medical Informatics, University Hospital Aachen, Aachen, Nordrhein-Westfalen, Germany.
  • Schulte-Coerne J; Department of Informatics, Technical University of Munich, Munchen, Bayern, Germany.
  • Fortmann J; Institute of Medical Informatics, University Hospital Aachen, Aachen, Nordrhein-Westfalen, Germany.
  • Jonas S; Department of Informatics, Technical University of Munich, Munchen, Bayern, Germany.
  • Witzke O; Institute for Infectious Diseases, University Hospital Essen, Essen, Nordrhein-Westfalen, Germany.
  • Rath PM; Institute for Medical Microbiology, University Hospital Essen, Essen, Nordrhein-Westfalen, Germany.
  • Pletz MW; Institute for Infectious Diseases and Infection Control, Jena University Hospital, Jena, Thüringen, Germany.
  • Scherag A; Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Jena, Thüringen, Germany andre.scherag@med.uni-jena.de.
BMJ Open ; 10(2): e033391, 2020 02 10.
Article em En | MEDLINE | ID: mdl-32047014
ABSTRACT

INTRODUCTION:

Staphylococci are the most commonly identified pathogens in bloodstream infections. Identification of Staphylococcus aureus in blood culture (SAB) requires a prompt and adequate clinical management. The detection of coagulase-negative staphylococci (CoNS), however, corresponds to contamination in about 75% of the cases. Nevertheless, antibiotic therapy is often initiated, which contributes to the risk of drug-related side effects. We developed a computerised clinical decision support system (HELP-CDSS) that assists physicians with an appropriate management of patients with Staphylococcus bacteraemia. The CDSS is evaluated using data of the Data Integration Centers (DIC) established at each clinic. DICs transform heterogeneous primary clinical data into an interoperable format, and the HELP-CDSS displays information according to current best evidence in bacteraemia treatment. The overall aim of the HELP-CDSS is a safe but more efficient allocation of infectious diseases specialists and an improved adherence to established guidelines in the treatment of SAB. METHODS AND

ANALYSIS:

The study is conducted at five German university hospitals and is designed as a stepped-wedge cluster randomised trial. Over the duration of 18 months, 135 wards will change from a control period to the intervention period in a randomised stepwise sequence. The coprimary outcomes are hospital mortality for all patients to establish safety, the 90-day disease reoccurrence-free survival for patients with SAB and the cumulative vancomycin use for patients with CoNS bacteraemia. We will use a closed, hierarchical testing procedure and generalised linear mixed modelling to test for non-inferiority of the CDSS regarding hospital mortality and 90-day disease reoccurrence-free survival and for superiority of the HELP-CDSS regarding cumulative vancomycin use. ETHICS AND DISSEMINATION The study is approved by the ethics committee of Jena University Hospital and will start at each centre after local approval. Results will be published in a peer-reviewed journal and presented at scientific conferences. TRIAL REGISTRATION NUMBER DRKS00014320.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Infecções Estafilocócicas / Sistemas de Apoio a Decisões Clínicas / Registros Eletrônicos de Saúde / Antibacterianos Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Infecções Estafilocócicas / Sistemas de Apoio a Decisões Clínicas / Registros Eletrônicos de Saúde / Antibacterianos Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article