A dataset with data on adverse events during hospitalisation found by the
Global Trigger Tool.

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

gtt function

A data frame with 340 rows and 11 variables:<ul>
<li>admission_id Admission ID.</li>
<li>admission_dte Date of admission.</li>
<li>discharge_dte Date of discharge.</li>
<li>month Month of discharge.</li>
<li>days
 Duration of hospital stay in days.</li>
<li>harms Number of adverse events.</li>
<li>E-I Type of adverse event by severity category. E-F: Temporary
 harm; G-H: Permanent harm; I: Fatal harm.</li>
</ul>

gtt: Patient harm indentified using the Global Trigger Tool

Description

Usage

Arguments

Format

References