A dataset with data on hospital acquired Clostridium difficile infections
(CDI) before and after an intervention to reduce the risk of CDI.

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

cdi function

A data frame with 36 rows and 5 variables:<ul>
<li>month
 Month of observation.</li>
<li>n Number of hospital acquired CDI.</li>
<li>days
 Number of risk days. A risk day is a patient day without CDI.</li>
<li>period
 Factor indicating the period 'pre' or 'post' intervention.</li>
<li>notes
 Annotations.</li>
</ul>

cdi: Clostridium difficile infections

Description

Usage

Arguments

Format