Cargando…

The Danish Intensive Care Database

AIM OF DATABASE: The aim of this database is to improve the quality of care in Danish intensive care units (ICUs) by monitoring key domains of intensive care and to compare these with predefined standards. STUDY POPULATION: The Danish Intensive Care Database (DID) was established in 2007 and include...

Descripción completa

Detalles Bibliográficos
Autores principales: Christiansen, Christian Fynbo, Møller, Morten Hylander, Nielsen, Henrik, Christensen, Steffen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5094592/
https://www.ncbi.nlm.nih.gov/pubmed/27822095
http://dx.doi.org/10.2147/CLEP.S99476
_version_ 1782465134568931328
author Christiansen, Christian Fynbo
Møller, Morten Hylander
Nielsen, Henrik
Christensen, Steffen
author_facet Christiansen, Christian Fynbo
Møller, Morten Hylander
Nielsen, Henrik
Christensen, Steffen
author_sort Christiansen, Christian Fynbo
collection PubMed
description AIM OF DATABASE: The aim of this database is to improve the quality of care in Danish intensive care units (ICUs) by monitoring key domains of intensive care and to compare these with predefined standards. STUDY POPULATION: The Danish Intensive Care Database (DID) was established in 2007 and includes virtually all ICU admissions in Denmark since 2005. The DID obtains data from the Danish National Registry of Patients, with complete follow-up through the Danish Civil Registration System. MAIN VARIABLES: For each ICU admission, the DID includes data on the date and time of ICU admission, type of admission, organ supportive treatments, date and time of discharge, status at discharge, and mortality up to 90 days after admission. Descriptive variables include age, sex, Charlson comorbidity index score, and, since 2010, the Simplified Acute Physiology Score (SAPS) II. The variables are recorded with 90%–100% completeness in the recent years, except for SAPS II score, which is 73%–76% complete. The DID currently includes five quality indicators. Process indicators include out-of-hour discharge and transfer to other ICUs for capacity reasons. Outcome indicators include ICU readmission within 48 hours and standardized mortality ratios for death within 30 days after admission using case-mix adjustment (initially using age, sex, and comorbidity level, and, since 2013, using SAPS II) for all patients and for patients with septic shock. DESCRIPTIVE DATA: The DID currently includes 335,564 ICU admissions during 2005–2015 (average 31,958 ICU admissions per year). CONCLUSION: The DID provides a valuable data source for quality monitoring and improvement, as well as for research.
format Online
Article
Text
id pubmed-5094592
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Dove Medical Press
record_format MEDLINE/PubMed
spelling pubmed-50945922016-11-07 The Danish Intensive Care Database Christiansen, Christian Fynbo Møller, Morten Hylander Nielsen, Henrik Christensen, Steffen Clin Epidemiol Review AIM OF DATABASE: The aim of this database is to improve the quality of care in Danish intensive care units (ICUs) by monitoring key domains of intensive care and to compare these with predefined standards. STUDY POPULATION: The Danish Intensive Care Database (DID) was established in 2007 and includes virtually all ICU admissions in Denmark since 2005. The DID obtains data from the Danish National Registry of Patients, with complete follow-up through the Danish Civil Registration System. MAIN VARIABLES: For each ICU admission, the DID includes data on the date and time of ICU admission, type of admission, organ supportive treatments, date and time of discharge, status at discharge, and mortality up to 90 days after admission. Descriptive variables include age, sex, Charlson comorbidity index score, and, since 2010, the Simplified Acute Physiology Score (SAPS) II. The variables are recorded with 90%–100% completeness in the recent years, except for SAPS II score, which is 73%–76% complete. The DID currently includes five quality indicators. Process indicators include out-of-hour discharge and transfer to other ICUs for capacity reasons. Outcome indicators include ICU readmission within 48 hours and standardized mortality ratios for death within 30 days after admission using case-mix adjustment (initially using age, sex, and comorbidity level, and, since 2013, using SAPS II) for all patients and for patients with septic shock. DESCRIPTIVE DATA: The DID currently includes 335,564 ICU admissions during 2005–2015 (average 31,958 ICU admissions per year). CONCLUSION: The DID provides a valuable data source for quality monitoring and improvement, as well as for research. Dove Medical Press 2016-10-25 /pmc/articles/PMC5094592/ /pubmed/27822095 http://dx.doi.org/10.2147/CLEP.S99476 Text en © 2016 Christiansen et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Review
Christiansen, Christian Fynbo
Møller, Morten Hylander
Nielsen, Henrik
Christensen, Steffen
The Danish Intensive Care Database
title The Danish Intensive Care Database
title_full The Danish Intensive Care Database
title_fullStr The Danish Intensive Care Database
title_full_unstemmed The Danish Intensive Care Database
title_short The Danish Intensive Care Database
title_sort danish intensive care database
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5094592/
https://www.ncbi.nlm.nih.gov/pubmed/27822095
http://dx.doi.org/10.2147/CLEP.S99476
work_keys_str_mv AT christiansenchristianfynbo thedanishintensivecaredatabase
AT møllermortenhylander thedanishintensivecaredatabase
AT nielsenhenrik thedanishintensivecaredatabase
AT christensensteffen thedanishintensivecaredatabase
AT christiansenchristianfynbo danishintensivecaredatabase
AT møllermortenhylander danishintensivecaredatabase
AT nielsenhenrik danishintensivecaredatabase
AT christensensteffen danishintensivecaredatabase