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A Simple Run Chart: Building Block of Measurement for Improvement
Data displayed in time order
Data is collected and displayed weekly or monthly.
Why not before and after?
Adapted from Health Care Data Guide, p. 16 Figure 1.5 and 1.6 , Provost and Murray, 2011. San Francisco: Jossey Boss
Scenario 1
Adapted from Health Care Data Guide, p. 16 Figure 1.5 and 1.6 , Provost and Murray, 2011. San Francisco: Jossey Boss
Scenario 2
Adapted from Health Care Data Guide, p. 16 Figure 1.5 and 1.6 , Provost and Murray, 2011. San Francisco: Jossey Boss
Scenario 3
Adapted from Health Care Data Guide, p. 16 Figure 1.5 and 1.6 , Provost and Murray, 2011. San Francisco: Jossey Boss
Scenario 4
change made between week 7 and 8
Adapted from Health Care Data Guide, p. 16 Figure 1.5 and 1.6 , Provost and Murray, 2011. San Francisco: Jossey Boss
Displaying Key Measures over Time - Run Chart
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-Data displayed in time order
-Time is along X axis
-Result along Y axis
-Centre line = median
-One “dot” = one sample of data
-Sample size = each “dot” should have the same n 0
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Perc
ent
Process: Cardiac Surgical Patients with Controlled Post-operative Serum Glucose
Making the Run Chart in Excel
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1. Data will be in two columns. Column A will have dates or times, and Column B will have the result of your data collection.
2. Highlight this data
Making the Run Chart in Excel - adding the median line
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4. Inserting the Median Line (needed to analyze the run chart): Calculate the Median Value from your Data
Making the Run Chart in Excel – adding the median line
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5. Enter the Median in Column C (we want a flat line for the median, i.e. all the same value)
8. The Run Chart is done and can be formatted: titles, gridlines, etc.
Note – to make the median a flat line with no markers, right click on the line and change the Marker Options.
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How Do We Analyze a Run Chart?
• Visual analysis first• If pattern is not clear, then apply probability based rules
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Non-Random Signals on Run Charts
A Shift: 6 or more
An astronomical data point
Too many or too few runs
A Trend5 or more
The Data Guide, p 78
Evidence of a non-random signal if one or more of the circumstances depicted by these four rules are on the run chart. The first three rules are violations of random patterns and are based on a probability of less than 5% chance of occurring just by chance with no change.
*hypothetical data – illustrative purposes only
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Readmission Rate
Large Teaching Hospitals
Large Community Hosptials
Medium Community Hospitals
Small Community Hospitals
SMALL MULTIPLES – all info on one page
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ProvincialReadmission Rate
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Hospitals
010203040
Large Community Hospitals
010203040
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*hypothetical data – illustrative purposes only