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Understanding the biases to sepsis surveillance and quality assurance caused by inaccurate coding in administrative health data.
Schwarzkopf D, Rose N, Fleischmann-Struzek C, Boden B, Dorow H, Edel A, Friedrich M, Gonnert FA, Götz J, Gründling M, Heim M, Holbeck K, Jaschinski U, Koch C, Künzer C, Le Ngoc K, Lindau S, Mehlmann NB, Meschede J, Meybohm P, Ouart D, Putensen C, Sander M, Schewe JC, Schlattmann P, Schmidt G, Schneider G, Spies C, Steinsberger F, Zacharowski K, Zinn S, Reinhart K. Schwarzkopf D, et al. Among authors: holbeck k. Infection. 2024 Apr;52(2):413-427. doi: 10.1007/s15010-023-02091-y. Epub 2023 Sep 9. Infection. 2024. PMID: 37684496 Free PMC article.
Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol.
Schwarzkopf D, Fleischmann-Struzek C, Schlattmann P, Dorow H, Ouart D, Edel A, Gonnert FA, Götz J, Gründling M, Heim M, Jaschinski U, Lindau S, Meybohm P, Putensen C, Sander M, Reinhart K; OPTIMISE study group. Schwarzkopf D, et al. BMJ Open. 2020 Oct 5;10(10):e035763. doi: 10.1136/bmjopen-2019-035763. BMJ Open. 2020. PMID: 33020079 Free PMC article.