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22/07/2015
1
Wednesday 15 July 2015
Making Better Decisions
Making Better Decisions
Making Better Decisions
Why do we analyse and present data?
Source: Robert Lloyd IHI 2006
To understand
the variation
that lives
within our data
To help us make
good management
decisions in the
way we react to
that variation
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Making Better Decisions
But often we have presented data in a different way ...
Making Better Decisions
We have 2 quarterly data points - is this an improvement?
Executive Time Series
0
20
40
60
80
100
J F M A M J J A S O N D
Months
So
meth
ing
Im
po
rtan
t
Higher is
better
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Making Better Decisions
Are we assuming something like this?
Executive Time Series - linear trend
0
20
40
60
80
100
J F M A M J J A S O N D
Months
So
meth
ing
Im
po
rtan
t
Making Better Decisions
But it could be like this ...
Executive Time Series - no trend
0
20
40
60
80
100
J F M A M J J A S O N D
Months
So
meth
ing
Im
po
rtan
t
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Making Better Decisions
Or this ...
Executive Time Series - seasonal dip
0
20
40
60
80
100
J F M A M J J A S O N D
Months
So
meth
ing
Im
po
rtan
t
Making Better Decisions
Or this!
Executive Time Series - one month blip
0
20
40
60
80
100
J F M A M J J A S O N D
Months
So
meth
ing
Im
po
rtan
t
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Walter A. Shewhart(early 1920’s, Bell Laboratories)
• While every process displays variation:
• some processes display only controlled variation (common cause)– stable, consistent pattern of variation
– constant causes/ “chance”
• while others display uncontrolled variation as well– pattern changes over time
– special cause variation/“assignable” cause
9
Making Better Decisions
Shewhart’s purpose
• Data contains both signals and noise. To be able to extract information, one must separate the signal from the noise within the data.
To fulfill that purpose he created the control chart
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A statistical process control chart
0
10
20
30
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60
70
80
F M A M J J A S O N D J F M A M J J A S O N D
Upper process
limit
Mean
Lower process
limit
Plot data in time order
Calculate and plot mean as a line
Calculate and plot process limits as lines
Analyse chart by studying how values fall around mean and limits
Making Better Decisions
How often to measure?Barnsley stroke pathway
time in hospital before getting onto stroke ward
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Making Better Decisions
Monthly data shows improvement
Average length of pre-ward stay on Barnsley
Stroke Ward
from 01/2007 to 07/2007
0
0.5
1
1.5
2
2.5
3
3.5
1 2 3 4 5 6 7
Months
Weekly data tells a different story
Average length of pre-ward stay on Barnsley
Stroke Ward
from 01/2007 to 07/2007
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
1 3 5 7 9
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31
Weeks
Making Better Decisions
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Patient level data adds another level of understanding
15
SPC CHART RULES
Source: Lloyd Nelson, Technical Aids: The Shewhart Control Chart – Tests for Special Causes
16
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Upper control limit
Mean
Lower control limit
Rule # 1: Any single point outside the control limits
Upper control limit
Mean
Lower control limit
Rule # 2: A shiftAt least 7 points consecutively either above
or below the centre line
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Upper control limit
Mean
Lower control limit
Rule #3: A driftAt least 7 points consecutively ascending or
descending
Note: the points can cross the centre line
Upper control limit
Mean
Lower control limit
Rule #4:At least 14 points alternating up and down
Note: the points do not have to alternate above and below the centre line
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Mean
Mean+1V
Mean+2V
Mean+3V
Mean-1V
Mean-2V
Mean-3V
Upper control limit
Mean
Lower control limit
Other tests require you to plot the intermediate variation values
Mean
Mean+1V
Mean+2V
Mean+3V
Mean-1V
Mean-2V
Mean-3V
Upper control limit
Mean
Lower control limit
Rule #5:2 out of 3 points outside 2V on the same
side of the centre line
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Mean
Mean+1V
Mean+2V
Mean+3V
Mean-1V
Mean-2V
Mean-3V
Upper control limit
Mean
Lower control limit
Rule #6:4 out of 5 points outside 1V on the same
side of the centre line
Mean
Mean+1V
Mean+2V
Mean+3V
Mean-1V
Mean-2V
Mean-3V
Upper control limit
Mean
Lower control limit
Rule #7: Reduced variation15 points within 1V either side of the centre
line
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Mean
Mean+1V
Mean+2V
Mean+3V
Mean-1V
Mean-2V
Mean-3V
Upper control limit
Mean
Lower control limit
Rule #8: 2 processes8 points in a row on both sides of the
centre line with none within 1V
Making Better Decisions
Process 1
X
X
X
X X
XX
XX
XX
XX
X
X
X
X
X
X
X
X
PREDICTABLE? YES / NO / NOT SURERULE 1 2 3 4
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Making Better Decisions
Process 2
1 2 3 4 5 6 7 8
XX X
X
XX
X
X
X
X
XX X
X
X
X X
X
X
X
X
PREDICTABLE? YES / NO / NOT SURERULE 1 2 3 41 2 3 4 5 6 7 8
Making Better Decisions
Process 3
X
X
X
X
X
XX
X
X
X
XX
X
X
XX
X X X X
X
PREDICTABLE? YES / NO / NOT SURERULE 1 2 3 41 2 3 4 5 6 7 8
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Making Better Decisions
Process 4
X X X
X X
XX X X X
X
X
X X
X
X
X X
X
X X
PREDICTABLE? YES / NO / NOT SURE RULE 1 2 3 4 1 2 3 4 5 6 7 8
Making Better Decisions
Process 5
1 2 3 4 5 6 7 8
X
X
X
X
XX
X
X
X
X
X
X
X
XX
X
X
X
XX
X
PREDICTABLE? YES / NO / NOT SURERULE 1 2 3 41 2 3 4 5 6 7 8
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Making Better Decisions
Process 6
X
X X
X
X
XX
X
X XX
X
X
X
XX X
X
XX
X
PREDICTABLE? YES / NO / NOT SURERULE 1 2 3 41 2 3 4 5 6 7 8
What decision do you make?
Is your information presented in a way that allows you to confidently make one of these decisions?
Decision Because
Do nothing Performance ok
Contingency plans Special cause variation
Process redesign Common cause variation
Making Better Decisions
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Making Better Decisions
So why run or control charts?
• One picture, one message
• Shows change over time
• Allows you to see variation and differentiate between signal and noise
• Helps you to make the right decision
MRSA performance
City Hospital
0
2
4
6
8
10
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14
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20
17/0
1/0
5
17/0
1/0
5
21/0
1/0
5
21/0
1/0
5
01/0
2/0
5
04/0
2/0
5
10/0
2/0
5
20/0
2/0
5
24/0
2/0
5
03/0
3/0
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07/0
3/0
5
07/0
3/0
5
07/0
3/0
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08/0
3/0
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16/0
3/0
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03/0
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04/0
4/0
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09/0
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12/0
4/0
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4/0
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17/0
4/0
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22/0
4/0
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28/0
4/0
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03/0
5/0
5
06/0
5/0
5
Date of event
Gap
betw
een
su
ccessiv
e e
ven
ts
Gap betw een specimens Average LCL UCL
Hospital X
Making Better Decisions
SPC tools
• Baseline
– http://www.valuesystemdesign.com
• Winchart from Prism Europe
– http://www.winchart.net/
• Chartrunner from PQ Systems
– http://www.pqsystems.com/products/SPC/CHARTrunner/CHARTrunner.php
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Making Better Decisions
Useful references
• Donald Wheeler. Understanding Variation. Knoxville: SPC Press Inc, 1995
• Donald Wheeler. Making sense of data. SPC for the service sector. Knoxville: SPC Press Inc, 2003
• WE Deming. Out of the crisis. Massachusetts: MIT 1986
• American Society for Qualitywww.asq.org/about/history/shewhart.html
• Donald M Berwick. Controlling variation in health care: a consultation from Walter Shewhart. Med Care 1991; 29: 1212-25.
• Walter A Shewhart. Economic control of quality of manufactured product. New York: D Van Nostrand 1931.