The Westgard rules provide a statistical framework for evaluating the quality of analytical runs in medical laboratories. Developed by Dr. James Westgard in the 1980s, the rules are based on statistical process control and can be used individually or together to detect random and systematic errors. Key rules include 1:2s for warning of potential errors, 1:3s and 2:2s for rejecting runs with errors, and 10x for identifying systematic biases over multiple runs. Laboratories should aim to maximize error detection while minimizing false rejections when applying these rules.
• In 1981Dr.James Westgard Of The University Of Wisconsin Published An Article
On Laboratory Quality Control That Set The Basis For Evaluating Analytical Run
Quality For Medical Laboratories.
• The Elements Of The Westgard Systems Are Based On Principles Of Statistical
Process Control Used In Industry Nation Wide Since The 1950’s
• These Rules Are Used Individually Or In Combination To Evaluate The Quality
Of Analytical Runs.
3.
• The rulesof how to use LJ correctly has been described by James
westgard and these are called Westgard rules.
• These rules are used for detecting changes in the analytical system.
4.
Rules for what?
• To decide whether an analytical run is in-control or out –of –control
• These rules can be applied as single rules and as a group of
rules(multi-rules)
• Westgard rules can be applied only if your qc are plotted with the
range of ±3 SD
5.
Two key factorsto keep in mind while selecting / using rules :
Maximize error detection:
Per cent error detection ( P ed ) >90%
Minimize false rejection :
Percent false rejection ( P fr ) < 5 %
6.
2 sets ofQC rule nomenclatures
1. N and L
2. Within / across (run / material)
Nomenclature 2 :
Within-run/ across material
DATE QC LEVELS
DAY I Level 1 Level 2
DAY 2 Level 1 Level 2
Across run / same material
DATE QC LEVELS
DAY 1 LEVEL 1 LEVEL2
DAY 2 LEVEL 1 LEVEL 2
2/3 LEVEL OF QC IN THE SAME RUN
SAME LEVEL (MATERIAL) OF QC BUT IN 2 OR MORE
CONSECUTIVE RUNS
1:2S RULE
• Onecontrol exceeding the ± 2 SD limit.
• Denotes a random error / beginning of a systematic error
• Warning rule
• It can be both in plus and in minus direction
• Even In absence of any analytical errors 4.5 % of data points in the
region of 1:2S region
If only one level of QC is being run in the lab 1:2S has to be a
rejection rule
• one controlresult has exceeded the established mean +/- 3SD range.
• Rejection rule
• a run is rejected when a single control measurement exceeds the mean
3SD control limit
This rule identifies unacceptable
Random error
Beginning of a large systematic error.
15.
2:2s RULE
• twoconsecutive control results have exceeded the same mean +/- 2SD
limit.
• Rejection rule.
• Identifies only systematic errors only
There are two applications to this rule
• With-in-run ( in the 2 levels of QC in the same run)
• Across runs ( in the same QC in 2 consecutive runs )
If a normal(level 1) and abnormal (level 2) control are
>2s On the same side of mean:
• This run violates the within-run application for systematic error
If level 1 is accepatable and level 2 is 1:2s, the level 2 result from
previous run is examined:
• If level 2 in previous run was
• At +2.0s or greater
• Then the across run application for systematic error is violated
19.
2 of 32sRULE:
• When 2 out of 3 control measurements exceed the same ±2SD control
limit.
• Denotes systematic error.
21.
R4S RULE :
•When 2 control measurements in a group exceeds the mean ±2SD on
either side or if the sum of SD of two material >4 SD
• Only be interpreted within-run, not across-run
• Identifies random error only
• Applied only within the current run.
31S RULE :
•3 consecutive control meaurements exceed the same mean plus 1s or
mean minus 1s control limit.
• Denotes systematic error
• 3 consecutive results
• Greater than 1s
• On the same side of mean
• Applied for within control material or across control material
• Within controlmaterial violations indicate systematic bias in a single
area of the method curve.
• While violation across control materials indicates systematic error
over a broader concentration.
• When 6or 8 or 9 or 10 or 12 control results on the same side of mean
regardless of the specific SD in which they are located.
• Within control material violations indicate systematic bias in a single
area of the method curve
• While violation across control materials indicates systematic error
over a broader concentration.
RULE VIOLATION SYSTEMATICERROR RANDOM ERROR
1 : 2s
2 : 2s
1 : 3s
4: 1s
2 of 3:2s
3 : 1s
10x
7T
R : 4s
38.
Within run errors
(Thepower of daily monitoring)
• Stop and take corrective action if a single point exceeds, 1 : 3s limit
• Stop and take corrective action if two levels of control exceed, 2:2s
• Stop and take corrective action, R4s limit. meant only to be applied
within run.
Corrective actions
Things thatcan go wrong
• Instrument malfunction
• Reagents preparations,contamination,
volume
• Tech error
• Control specimen is old or prepared
improperly
Corrective action
• Identify malfunction
• New reagents
• Identify error and repeat test
• Use new control