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Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol

Authors :
Peter Schlattmann
Michael Sander
Christian Koch
Emmanuel Schneck
Claudia Spies
Patrick Meybohm
Kai Zacharowski
Simone Lindau
Philipp Helmer
Christian Putensen
Matthias Gründling
Daniel Schwarzkopf
Carolin Fleischmann-Struzek
Heike Dorow
Dominique Ouart
Andreas Edel
Falk A Gonnert
Jürgen Götz
Markus Heim
Ulrich Jaschinski
Konrad Reinhart
Anja Ball
Kathrin Scholtz
Jens Christian Schewe
Verena Steinberg
Susanne Behrend
Corinna Michel
Stefan Münster
Beate Boden
Angelika Göckeler
Sebastian Zinn
Holger Neb
Elke Schmitt
Khanh Le Ngoc
Moritz Herzberg
Ferdinand Cornelius Steinsberger
Sara Marie Denn
Anja Kühn
Sven-Olaf Kuhn
Christian Scheer
Christian Fuchs
Gerhard Schneider
Jan Meschede
Kirill Holbeck
Source :
BMJ Open, Vol 10, Iss 10 (2020)
Publication Year :
2020
Publisher :
BMJ Publishing Group, 2020.

Abstract

Introduction Sepsis is a major cause of preventable deaths in hospitals. This study aims to investigate if sepsis incidence and quality of care can be assessed using inpatient administrative health data (IAHD).Methods and analysis Design: Retrospective observational validation study using routine data to assess the diagnostic accuracy of sepsis coding in IAHD regarding sepsis diagnosis based on medical record review. Procedure: A stratified sample of 10 000 patients with an age ≥15 years treated in between 2015 and 2017 in 10 German hospitals is investigated. All available information of medical records is screened by trained physicians to identify true sepsis cases (‘gold standard’) both according to current (‘sepsis-1’) definitions and new (‘sepsis-3’) definitions. Data from medical records are linked to IAHD on patient level using a pseudonym. Analyses: Proportions of cases with sepsis according to sepsis-1 and sepsis-3 definitions are calculated and compared with estimates from coding of sepsis in IAHD. Predictive accuracy (sensitivity, specificity) of different coding abstraction strategies regarding the gold standard is estimated. Predictive accuracy of mortality risk factors obtained from IAHD regarding the respective risk factors obtained from medical records is calculated. An IAHD-based risk model for hospital mortality is compared with a record-based risk model regarding model-fit and predicted risk of death. Analyses adjust for sampling weights. The obtained estimates of sensitivity and specificity for sepsis coding in IAHD are used to estimate adjusted incidence proportions of sepsis based on German national IAHD.Ethics and dissemination The study has been approved by the ethics commission of the Jena University Hospital (No. 2018-1065-Daten). The results of the study will be discussed in an expert panel to write a memorandum on improving the utility of IAHD for epidemiological surveillance and quality management of sepsis care.Trial registration number DRKS00017775; Pre-results.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
10
Issue :
10
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.7be09828ad524c7db43975633c146f32
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2019-035763