BMTA July 2005: 1 Valid Analytical Measurement Studies of Proficiency Testing scheme performance S...
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BMTA July 2005: 1
Valid Analytical Measurement Studies of Proficiency Testing scheme
performance
S Ellison
LGC Limited, Teddington
The work described in this paper was supported under contract with the Department of Trade and Industry
as part of the Valid Analytical Measurement programme
BMTA July 2005: 2
or63 routes to the wrong result
... and what to do about it
BMTA July 2005: 3
Introduction
• PT in analytical chemistry• Why study mistakes?• How does the UK do?
– PT results compared to international performance
• What goes wrong? (and why)– Web-based study of causes of poor PT scores
BMTA July 2005: 4
PT in analytical chemistry - organisation
• Typical rounds comprise:– test sample preparation, characterisation and distribution– analysis by participants– data collection and processing– preparation and distribution of the report
• Frequency– Typically 6-12 rounds per year
• Analytes (measured quantities)– 1-30 per sample per round
• Participants– Typically 30-100 per round, but strongly scheme-dependent
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The aims of proficiency testing
• Primary aim:
“To provide the infrastructure for a laboratory to monitor and improve the quality of its routine analytical measurements”
• Other aims– Provide information on the state-of-the-art in analytical
measurements– Compare performance of analytical methods– Assist a laboratory in the validation of new methods
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Principle of performance assessment
• Observed error – difference between
laboratory result (x) and assigned value (X)
• ‘Target range’– usually a standard
deviation ( ) or uncertainty
Compare…..
…..using an acceptability criterion
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Performance Scoring: z-scores
x submitted result X assigned valuestandard deviation for proficiency assessment
Z 2 Satisfactory performance
2Z 3 Questionable performance
Z 3 Unsatisfactory performance
Xxz
Interpretation of z is consistent across schemesbut depends on
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Typical analytical performance data.
-8 -6 -4 -2 0 2 4 6 8
Z-score
5 values < -8 3 values >8
Collected foodanalysis data:Various analytes
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PT data for benchmarking
• Three studies of UK performance– Clinical– Food– Environment
• Clinical: Backed by IMEP-17 study (20 analytes: 35 countries)
• Food: FAPAS PT scheme data (6 representative analytes; 2000 labs; ca. 250 countries and regions)
• Environment: CONTEST and CoEPT project data
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UK performance: Clinical
UK performance:Consistent withothers; Rarely poor
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UK Performance: Food
Rest of world
UK
-5 0 5
GeMMA z-score by country
z-score
GMO measurement
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UK Performance: FoodAflatoxins
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UK Performance: FoodPirimphos-Me (pesticide residue)
GB Other
-10
-50
51
0
GB Pirimphos-Methyl Performance for all RoundsZ
-sco
re
UK Other
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Problem analytes: ArsenicUK
FAPAS Arsenic data: Rounds 735-753GB results only
Z-score
Fre
qu
en
cy
-10 -5 0 5 10 15 20
01
02
03
0
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FAPAS Arsenic data: Rounds 735-753abs(Z)<=20
Z-score
Fre
qu
en
cy
-10 -5 0 5 10 15 20
05
01
00
15
0Problem analytes: Arsenic
All countries
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UK Performance: Environment
Total polycyclic aromatics
SO5 SO7 SO6 SO2 SO1 SO3
0
200
400
600
800
TotalPAH
Scheme ID
mg
/kg
UK SchemeOther
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UK Performance: Summary
• Broadly comparable to other countries• No problems unique to the UK• Some problems (e.g. Arsenic) shared with other
countries
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Part 2: Causes of error
• VAM Project KT2.4/3: Causes of poor PT performance• Aim:
Study "…the principal causes of poor performance in laboratories and ... the effectiveness of the steps taken by Participants in PT to improve the reliability of their results”
• Methodology– Web-based questionnaire– Focussed on documented problems identified via PT scores– Lead questions with follow-up for positive responses
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Why study poor scores in PT?
• Why PT?– PT participants are already committed to quality improvement– Participants follow up poor PT scores
• Why only poor scores?– Acceptable scores give poor information about problems– Correlation of scores with general methodology is not very
effective– Every good lab has documented problems and corrective
actions
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Top causes of poor scores
Sample preparationEquipment problemHuman error
CalibrationSelection of methodCalculation errorReporting problem
111 respondents230 causes
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Top causes of poor scores
Sample preparation
Extraction/recovery
Dilution to volume
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Top causes of poor scores
Equipment problem
Equipment failure
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Top causes of poor scores
Human error
Training/experience
Transcription error
Reporting error
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Top causes of poor scores
Calibration
No reference materialDefective RM
Incorrect procedureCalibration range
Calibration
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Top causes of poor scores
Reporting problem
Reporting problems
Value correct but not in customer units
Transcription/typographical error
Incorrect units
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Top causes of poor scores
Calculation error
Commercial software problem
Spreadsheet problem
Spreadsheet user errorCalculator error
Arithmetic error
Value mis-enteredSoftware mis-applied
Other
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Corrective action
Training
New proceduresRevalidationMethod documentation
New equipment
Additional calibration
Method change
RM change
Other
Detailed information showed problem-specific responses
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Corrective action - efficacy
• No significant difference in efficacy across different corrective actions
• Only 50% of actions were marked as ‘fully effective’
• Monitoring of efficacy tended to use local/immediate methods– Monitor QC results– Internal audit
BMTA July 2005: 29
Causes of error: Summary
• Most PT errors were caused by basic lab operations– Incorrect dilution to volume– Transcription and reporting errors– Data and spreadsheet formula entry errors
• Equipment failure is perceived as a problem• Extraction/recovery problems important• Commercial software faults caused no problems
• Corrective actions are problem-specific and ‘multifactor’– More than one action generally required.
BMTA July 2005: 30
Conclusions
• UK analytical labs perform similarly to international partners, and share similar problems
• The most common cause of PT performance failures are not technical, but simple human errors such as incorrect volumetric operations and transcription errors
• Time to look harder at human factors?
• Study web page: via http//www.vam.org.uk - surveys link