hospital_infections: Hospital acquired infections
In qicharts2: Quality Improvement Charts
Description
Usage
Format
Source
Description
A dataset containing the number of hospital acquired bacteremia, Clostridium
difficile infections, and urinary tract infections in six hospitals in the
Capital Region of Denmark 2015-2016.
Usage
1
Format
A data frame with 432 rows and 5 variables:
-
hospital Abbreviated hospital name.
infection Type of infection.
BAC: Bacteremia, CDI: Clostridium difficile infection. UTI: Urinary tract
infection.
month First day of month.
-
n Number of cases.
days Number of risk days. A risk day is a patient day without
infection.
Source
https://www.esundhed.dk/Emner/Patienter-og-sygehuse/HAIBA/
(Capital Region of Denmark).
qicharts2 documentation built on July 8, 2021, 5:08 p.m.
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Description Usage Format Source
Description
A dataset containing the number of hospital acquired bacteremia, Clostridium difficile infections, and urinary tract infections in six hospitals in the Capital Region of Denmark 2015-2016.
Usage
1 |
Format
A data frame with 432 rows and 5 variables:
-
hospital Abbreviated hospital name.
infection Type of infection. BAC: Bacteremia, CDI: Clostridium difficile infection. UTI: Urinary tract infection.
month First day of month.
-
n Number of cases.
days Number of risk days. A risk day is a patient day without infection.
Source
https://www.esundhed.dk/Emner/Patienter-og-sygehuse/HAIBA/ (Capital Region of Denmark).
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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