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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

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 conta...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044885/
https://www.ncbi.nlm.nih.gov/pubmed/32047014
http://dx.doi.org/10.1136/bmjopen-2019-033391
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author 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
author_facet 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
author_sort Hagel, Stefan
collection PubMed
description 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 Cent ers (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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spelling pubmed-70448852020-03-09 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 BMJ Open Infectious Diseases 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 Cent ers (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. BMJ Publishing Group 2020-02-10 /pmc/articles/PMC7044885/ /pubmed/32047014 http://dx.doi.org/10.1136/bmjopen-2019-033391 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Infectious Diseases
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
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044885/
https://www.ncbi.nlm.nih.gov/pubmed/32047014
http://dx.doi.org/10.1136/bmjopen-2019-033391
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