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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
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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537443/ https://www.ncbi.nlm.nih.gov/pubmed/33020079 http://dx.doi.org/10.1136/bmjopen-2019-035763 |
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author | Schwarzkopf, Daniel Fleischmann-Struzek, Carolin Schlattmann, Peter Dorow, Heike Ouart, Dominique Edel, Andreas Gonnert, Falk A Götz, Jürgen Gründling, Matthias Heim, Markus Jaschinski, Ulrich Lindau, Simone Meybohm, Patrick Putensen, Christian Sander, Michael Reinhart, Konrad |
author_facet | Schwarzkopf, Daniel Fleischmann-Struzek, Carolin Schlattmann, Peter Dorow, Heike Ouart, Dominique Edel, Andreas Gonnert, Falk A Götz, Jürgen Gründling, Matthias Heim, Markus Jaschinski, Ulrich Lindau, Simone Meybohm, Patrick Putensen, Christian Sander, Michael Reinhart, Konrad |
author_sort | Schwarzkopf, Daniel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7537443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-75374432020-10-07 Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol Schwarzkopf, Daniel Fleischmann-Struzek, Carolin Schlattmann, Peter Dorow, Heike Ouart, Dominique Edel, Andreas Gonnert, Falk A Götz, Jürgen Gründling, Matthias Heim, Markus Jaschinski, Ulrich Lindau, Simone Meybohm, Patrick Putensen, Christian Sander, Michael Reinhart, Konrad BMJ Open Infectious Diseases 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. BMJ Publishing Group 2020-10-05 /pmc/articles/PMC7537443/ /pubmed/33020079 http://dx.doi.org/10.1136/bmjopen-2019-035763 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/ 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 Schwarzkopf, Daniel Fleischmann-Struzek, Carolin Schlattmann, Peter Dorow, Heike Ouart, Dominique Edel, Andreas Gonnert, Falk A Götz, Jürgen Gründling, Matthias Heim, Markus Jaschinski, Ulrich Lindau, Simone Meybohm, Patrick Putensen, Christian Sander, Michael Reinhart, Konrad Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol |
title | Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol |
title_full | Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol |
title_fullStr | Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol |
title_full_unstemmed | Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol |
title_short | Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol |
title_sort | validation study of german inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the optimise study protocol |
topic | Infectious Diseases |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537443/ https://www.ncbi.nlm.nih.gov/pubmed/33020079 http://dx.doi.org/10.1136/bmjopen-2019-035763 |
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