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Titel:

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

Dokumenttyp:
Journal Article
Autor(en):
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...     »
Zeitschriftentitel:
Infection
Jahr:
2024
Band / Volume:
52
Heft / Issue:
2
Seitenangaben Beitrag:
413-427
Volltext / DOI:
doi:10.1007/s15010-023-02091-y
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/37684496
Print-ISSN:
0300-8126
TUM Einrichtung:
1300; 688; Klinik für Anästhesiologie (DHM)
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