دورية أكاديمية
أعرض في EDS

Algorithmic surveillance of ICU patients with acute respiratory distress syndrome (ASIC): protocol for a multicentre stepped-wedge cluster randomised quality improvement strategy

التفاصيل البيبلوغرافية
العنوان: Algorithmic surveillance of ICU patients with acute respiratory distress syndrome (ASIC): protocol for a multicentre stepped-wedge cluster randomised quality improvement strategy
المؤلفون: Stefan Kluge, Christian Putensen, Danny Ammon, Silke Haferkamp, Saskia Deffge, Thomas Wendt, Daniel Tiller, André Scherag, Philipp Simon, Johannes Bickenbach, Sebastian Johannes Fritsch, Julian Benedict Kunze, Oliver Maassen, Jennifer Kistermann, Irina Lutz, Nora Kristiana Voellm, Volker Lowitsch, Richard Polzin, Konstantin Sharafutdinov, Hannah Mayer, Lars Kuepfer, Rolf Burghaus, Walter Schmitt, Joerg Lippert, Morris Riedel, Chadi Barakat, André Stollenwerk, Simon Fonck, Sven Zenker, Felix Erdfelder, Daniel Grigutsch, Rainer Kram, Susanne Beyer, Knut Kampe, Jan Erik Gewehr, Friederike Salman, Patrick Juers, Emilia Wisotzki, Sebastian Gross, Lorenz Homeister, Frank Bloos, Susanne Mueller, Julia Palm, Nora Jahn, Markus Loeffler, Tobias Schuerholz, Petra Groeber, Andreas Schuppert
المصدر: BMJ Open, Vol 11, Iss 4 (2021)
بيانات النشر: BMJ Publishing Group, 2021.
سنة النشر: 2021
المجموعة: LCC:Medicine
مصطلحات موضوعية: Medicine
الوصف: Introduction The acute respiratory distress syndrome (ARDS) is a highly relevant entity in critical care with mortality rates of 40%. Despite extensive scientific efforts, outcome-relevant therapeutic measures are still insufficiently practised at the bedside. Thus, there is a clear need to adhere to early diagnosis and sufficient therapy in ARDS, assuring lower mortality and multiple organ failure.Methods and analysis In this quality improvement strategy (QIS), a decision support system as a mobile application (ASIC app), which uses available clinical real-time data, is implemented to support physicians in timely diagnosis and improvement of adherence to established guidelines in the treatment of ARDS. ASIC is conducted on 31 intensive care units (ICUs) at 8 German university hospitals. It is designed as a multicentre stepped-wedge cluster randomised QIS. ICUs are combined into 12 clusters which are randomised in 12 steps. After preparation (18 months) and a control phase of 8 months for all clusters, the first cluster enters a roll-in phase (3 months) that is followed by the actual QIS phase. The remaining clusters follow in month wise steps. The coprimary key performance indicators (KPIs) consist of the ARDS diagnostic rate and guideline adherence regarding lung-protective ventilation. Secondary KPIs include the prevalence of organ dysfunction within 28 days after diagnosis or ICU discharge, the treatment duration on ICU and the hospital mortality. Furthermore, the user acceptance and usability of new technologies in medicine are examined. To show improvements in healthcare of patients with ARDS, differences in primary and secondary KPIs between control phase and QIS will be tested.Ethics and dissemination Ethical approval was obtained from the independent Ethics Committee (EC) at the RWTH Aachen Faculty of Medicine (local EC reference number: EK 102/19) and the respective data protection officer in March 2019. The results of the ASIC QIS will be presented at conferences and published in peer-reviewed journals.Trial registration number DRKS00014330.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2020-0455
2044-6055
71636846
Relation: https://bmjopen.bmj.com/content/11/4/e045589.full; https://doaj.org/toc/2044-6055
DOI: 10.1136/bmjopen-2020-045589
URL الوصول: https://doaj.org/article/16921f71636846b9984cf353bd67fb35
رقم الأكسشن: edsdoj.16921f71636846b9984cf353bd67fb35
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20200455
20446055
71636846
DOI:10.1136/bmjopen-2020-045589