User: Guest  Login
If you experience problems opening the document, please try this link.
Title:

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

Document type:
Zeitschriftenaufsatz
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 ;...     »
Keywords:
Research ; Sepsis ; Epidemiology ; Quality Assurance, Health Care ; Sensitivity and specificity ; Administrative Claims, Healthcare ; Medical and Health Sciences
Journal title:
Infection
Year:
2023
Journal volume:
52
Journal issue:
2
Pages contribution:
413-427
Fulltext / DOI:
doi:10.1007/s15010-023-02091-y
Publisher:
Springer Berlin Heidelberg
E-ISSN:
0300-8126 ; 1439-0973
Date of publication:
09.09.2023
 BibTeX