User: Guest  Login
Title:

Understanding the biases to sepsis surveillance and quality assurance caused by inaccurate coding in administrative health data.

Document type:
Journal Article
Author(s):
Schwarzkopf, Daniel; Rose, Norman; Fleischmann-Struzek, Carolin; Boden, Beate; Dorow, Heike; Edel, Andreas; Friedrich, Marcus; Gonnert, Falk A; Götz, Jürgen; Gründling, Matthias; Heim, Markus; Holbeck, Kirill; Jaschinski, Ulrich; Koch, Christian; Künzer, Christian; Le Ngoc, Khanh; Lindau, Simone; Mehlmann, Ngoc B; Meschede, Jan; Meybohm, Patrick; Ouart, Dominique; Putensen, Christian; Sander, Michael; Schewe, Jens-Christian; Schlattmann, Peter; Schmidt, Götz; Schneider, Gerhard; Spies, Claudia;...     »
Abstract:
PURPOSE: Timely and accurate data on the epidemiology of sepsis are essential to inform policy decisions and research priorities. We aimed to investigate the validity of inpatient administrative health data (IAHD) for surveillance and quality assurance of sepsis care. METHODS: We conducted a retrospective validation study in a disproportional stratified random sample of 10,334 inpatient cases of age ≥ 15 years treated in 2015-2017 in ten German hospitals. The accuracy of coding of sepsis and ris...     »
Journal title abbreviation:
Infection
Year:
2024
Journal volume:
52
Journal issue:
2
Pages contribution:
413-427
Fulltext / DOI:
doi:10.1007/s15010-023-02091-y
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/37684496
Print-ISSN:
0300-8126
TUM Institution:
1300; 688; Klinik für Anästhesiologie (DHM)
 BibTeX