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Statistical Process Control Charts

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  • Barbara Williams

    (Virginia Mason Medical Center)

Abstract

Statistical Process Control (SPC) Charts are used to assess outcomes measured over time, usually with the purpose of detecting improvement or maintaining a high level of performance. Traditionally used in industrial engineering for quality control, these methods are now frequently employed in healthcare and are the standard method of analysis for quality improvement work. In this presentation, we define methods to improve on current STATA syntax to generate useful and reader-friendly SPC charts. We build on existing STATA cchart (count), pchart (proportion), rchart (range), and xchart (average) commands to produce SPC charts with a clear, easy to read visual display. This presentation will explore default and edited pchart and xchart examples using health services research data; including the syntax for creating these graphs. Graphic elements include customized axis labels, text, colors, lines, notes, fonts, and titles. Under this approach STATA can replace current SPC chart generators including macros for Excel and stand-alone programs.

Suggested Citation

  • Barbara Williams, 2015. "Statistical Process Control Charts," 2015 Stata Conference 7, Stata Users Group.
  • Handle: RePEc:boc:scon15:7
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