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Chartrunner Tutorial

Chartrunner Tutorial. Introduce basic operations Some useful tips- Where to store your charts How to organize your data Variable names, Chart names. Decide on type of data. Continuous (Variables) Data. Discrete (Attributes) Data. Can both occurrences & non-occurrences be counted?. Yes.

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Chartrunner Tutorial

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  1. Chartrunner Tutorial • Introduce basic operations • Some useful tips- • Where to store your charts • How to organize your data • Variable names, Chart names

  2. Decide on type of data Continuous (Variables) Data Discrete (Attributes) Data Can both occurrences & non-occurrences be counted? Yes More than one observation per subgroup? No No Yes < 10 observations per subgroup? Are there equal area of opportunity? Are the subgroup sizes equal? Yes No Yes No No Yes –R –s XmR c-chart u-chart p-chart np-chart

  3. Look at a sample chart • Open the program and select the chart that says: “Measurement control chart (01) health, Individuals, Average days positive mammogram”

  4. What did their data look like to get that chart? • In Text file or Excel, data needs to be in columns with Time and Measurement headings • Now, go to the main menu and let’s see if we can re-create this chart • Make a new chart by clicking on the green + symbol, +

  5. Step 1: Chart Name/Data Type • Name: “Example 1” • Description: optional • Chart Categories: Measurement Control Chart • Chart Type: Individuals

  6. Step 2: Data Source • Select: Microsoft Excel from drop down menu • Database or filename: Browse: Day 1.xls

  7. Step 3: Data Definition • Table: select Example 1 • How to treat the columns by: • Avg Delay: select “Measurement” • Week: select: “Unique Identifier” • Click “OK”

  8. Is this the same chart? • Is the process stable? • How many criteria for special cause does this meet? • What’s different compared to the sample chart?

  9. Setting Control Limits • Left click to draw a box around all the points up to and including 20 • Right click and scroll down to “compute limits” • Select , name “baseline”, then click compute and OK • Now, do the same for the reset of the data, points 21-36. Call this set “Post” • How dose this look now? Is it in control?

  10. Importing Data from Text to Excel

  11. Make an Individuals chart of the number of patients seen per day • Use Day 1.xls • Select the I Chart sheet • Pick the care team you wish to measure (Bear, Orca, Eagle, Raven or Wolf) column for the measurement, Month is the identifier

  12. Make an X-bar/range chart of the average daily blood sugar • Use Day 1.xls • Select the X-Bar sheet • Use the AM column and the PM column for the measurement, Date is the identifier (n=2: AM & PM)

  13. Make a P-chart of the percent of patients each month with HGA1C < 7 • Use Day 1.xls • Select the P Chart sheet • Use the Total column for the “number inspected” (aka denominator) and the Under 7 column for the count (numerator), Date is the identifier • Ignore “percent”

  14. Make a C-chart of the prescriptions each month for diabetes medications • Use Day 1.xls • Select the C Chart sheet • Use the Prescriptions column for the measure, Date is the identifier

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