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Boating Beyond Simple Shewhart

Boating Beyond Simple Shewhart. Model 11. Destinations. Purpose—To provide a quick long distance view. Content Time or observations between events (g, h, t charts). CUSUM and EWMA Following a panel of patients Small Multiples (Thanks to Jerry Langley) Problem of changing denominators.

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Boating Beyond Simple Shewhart

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  1. Boating Beyond Simple Shewhart Model 11

  2. Destinations • Purpose—To provide a quick long distance view. • Content • Time or observations between events (g, h, t charts). • CUSUM and EWMA • Following a panel of patients • Small Multiples (Thanks to Jerry Langley) • Problem of changing denominators. • Comparing beginning and ending performance • Prevalence difference vs. Percent Improvement • Scatterplots • Smoothed Curves vs. Control Charts

  3. Analyzing Rare Events Using Time or Occurrences Between Them

  4. One way to analyze rare events

  5. Another way to analyze rare events

  6. t and g chart summary • t-chart measures the time between events • g-chart measures the number of incidents (procedures, admission) between events • Both charts are useful when looking at rare events • Eliminates the need to wait for a long time period to collect enough data points

  7. CUSUM and EWMA Early detection of shifts

  8. Anatomy of a CUSUM chart

  9. Monitoring CO2 in a NurseryCUSUM Chart

  10. Monitoring CO2 in a NurseryCUSUM Chart

  11. Or, you can use an exponentially weighted moving average chart. Surgeries Deaths Source: Benneyan, 2001

  12. CUSUM vs. EWMA

  13. Following a Panel of Patients

  14. Small Multiple Graphs Denominator in blue Denominator Rate (Percent) Screening rate in red Month

  15. Small Multiple GraphsThink-Pair-Share • Why are they powerful? • What are their limitations?

  16. An Alternative:Percent of Patients Screened for Depression: A Period-Cohort Analysis. A cohort is a group of patients empanelled within a particular quarter.

  17. Summarizing beginning and ending results

  18. Compare to change in percent screened

  19. Scatter plot comparing beginning and ending of period of observation.

  20. Control Charts vs. Smoothed, Descriptive Data

  21. Compare to corresponding c-Chart

  22. Your Turn! • Think about your work and select a key quality characteristic (KQC). • Develop an operational Definition for the KQC. • Evaluate your definition with the criteria from the NQF in module 2. • Answer: What kind of chart or analysis would you use?

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