variation, run charts and control charts powerpoint

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1 Colorado 5M WebEx Colorado 5M WebEx Variation, Run Variation, Run Charts, and Control Charts, and Control Charts Charts Beth A. Katzenberg, EdM, MBA, CPHQ Beth A. Katzenberg, EdM, MBA, CPHQ Director, Corporate Quality & Director, Corporate Quality & Compliance Compliance Colorado Foundation for Medical Colorado Foundation for Medical Care Care

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Post on 19-May-2015

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  • 1. Colorado 5M WebEx Variation, Run Charts, and Control Charts Beth A. Katzenberg, EdM, MBA, CPHQ Director, Corporate Quality & Compliance Colorado Foundation for Medical Care

2. Types of variation

  • Common cause
  • Always present
  • Inherent in process
  • Can predict performance with a range of variation
  • Cannot tell what specifically causes variation
  • Special cause
  • Abnormal, unexpected
  • Due to causes not inherent in process
  • Can be identified(e.g., change in shift, weather, process)

3. You must understand the type of variation that is occurring as this will determine how you address the problem. 4. Variation

  • Identify and study special cause
  • If negative, minimize or prevent
  • If positive, build into process

Special cause (unpredictable, unstable, out of control)

  • Change the process
  • Do not react to individual differences or try to explain differences between high andlow numbers

Common cause (predictable, stable, in control, inherent in process) Appropriate action to take Type of variation 5. Pitfalls

  • If onlycommon cause variationand treat as special cause (tampering), leads to greater variation, mistakes, defects
  • Ifcommon cause and special cause , and change the process, leads to wasted resources because the change wont work

6. Tools to identify variation 7. Run charts 8. Run chart Graph of data over time Track performance Display & identify variation 9. Run chart analysis:Common cause variation only Common cause variation around the median: Only common cause variation present. Output may or may not meet customer/ patient requirements 10. Run chart analysis:Runs

  • Run = one or more consecutive data points on the same side of the median
  • Excludes data points on the median

11 runs 11. Expected number of runs 12. High probabilityof special cause variation: Too few runs Too many runs = 0.05) ( 13. Run chart analysis:Run length Special causerun length: