Plotting basic control charts: tutorial notes for healthcare practitioners.
There is considerable interest in the use of statistical process control (SPC) in healthcare. Although SPC is part of an overall philosophy of continual improvement, the implementation of SPC usually requires the production of control charts. However, as SPC is relatively new to healthcare practitioners and is not routinely featured in medical statistics texts/courses, there is a need to explain the issues involved in the selection and construction of control charts in practice. Following a brief overview of SPC in healthcare and preliminary issues, we use a tutorial-based approach to illustrate the selection and construction of four commonly used control charts (xmr-chart, p-chart, u-chart, c-chart) using examples from healthcare. For each control chart, the raw data, the relevant formulae and their use and interpretation of the final SPC chart are provided together with a notes section highlighting important issues for the SPC practitioner. Some more advanced topics are also mentioned with suggestions for further reading.
Mohammed
M A
MA
Department of Public Health and Epidemiology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK. m.a.mohammed@bham.ac.uk
Worthington
P
P
Woodall
W H
WH
D003627:Data Interpretation, Statistical; D005568:Forms and Records Control; D006282:Health Personnel; D006801:Humans; D008499:Medical Records; D015233:Models, Statistical; D017064:Process Assessment, Health Care / Q000379:methods* / Q000706:statistics & numerical data; D011786:Quality Control; D014481:United States