Quality Improvement Charts.

Quality improvement charts for R

qicharts2 is an R package with 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) https://doi.org/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) https://doi.org/10.1136/qshc.2004.012047].

Exported functions

• qic() Run and control charts.

• summary.qic() Summary of qic object.

• paretochart() Pareto charts.

• bchart() Bernoulli CUSUM chart (EXPERIMENTAL).

Included datasets

• hospital_infections Number of hospital acquired bacteremia, Clostridium difficile infections, and urinary tract infections in six hospitals.

• cabg Individual coronary artery bypass graft operations.

• cdi Hospital acquired Clostridium difficile infections (CDI) before and after an intervention to reduce the risk of CDI.

• nhs_accidents Number of attendances to major accident and emergency hospital departments in the NHS that were seen within 4 hours of arrival over twenty weeks.

• gtt Adverse events during hospitalisation found by the Global Trigger Tool.

Instructions

• Install stable version from CRAN: install.packages('qicharts2').

or

• Install development version from github: devtools::install_github('anhoej/qicharts2', build_vignettes = TRUE).

then

• Read documentation: ?qic.

• Run examples: example('qic'), example('paretochart').

• Read vignette: vignette('qicharts2').

• Report issues and suggest improvements on https://github.com/anhoej/qicharts2.

• Website: https://anhoej.github.io/qicharts2/