hospital_infections

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.

datasets

Functions for making run charts, Shewhart control charts and
Pareto charts for continuous quality improvement. Included control charts
are: I, MR, Xbar, S, T, C, U, U', P, P', and G charts. Non-random variation
in the form of minor to moderate persistent shifts in data over time is
identified by the Anhoej rules for unusually long runs and unusually few
crossing [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>].
Non-random variation in the form of larger, possibly transient, shifts is
identified by Shewhart's 3-sigma rule [Mohammed, Worthington, Woodall (2008)
<doi:10.1136/qshc.2004.012047>].

Jacob Anhoej

qicharts2

Quality Improvement Charts

hospital_infections function

A data frame with 432 rows and 5 variables:<ul>
<li>hospital Abbreviated hospital name.</li>
<li>infection Type of infection.
 BAC: Bacteremia, CDI: Clostridium difficile infection. UTI: Urinary tract
 infection.</li>
<li>month First day of month.</li>
<li>n Number of cases.</li>
<li>days Number of risk days. A risk day is a patient day without
 infection.</li>
</ul>

hospital_infections: Hospital acquired infections

Description

Usage

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