dr jim mcculloch thistle qa johannesburg. worked in labs from 1965 experienced and qualified in...
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Dr Jim McCullochThistle QA
Johannesburg
Worked in labs from 1965 Experienced and qualified in
Microbiology, Chemistry, Statistics and Clinical Chemistry
Msc Medicine, PhD in Clinical Chemistry Setup Thistle QA in 1990
Started with 1 EQA (PT) in 1990 and with 1 employee, me!
Now... 23 PTs, 12 staff members 2500 labs directly enrolled Data base has results from 60 countries Data base number over 6000
PICK THE CORRECT ANSWER ISO says we need it SANAS will look for it It helps achieve a quality result
To determine the performance of individual labs for specific tests
To monitor the continuing performance of labs
An essential component of a good quality system
Reference values or consensus Defined methods? Outlier detection and removal Statistics to use, robust or not? Size of data base Report issues Customer complaints
Wild results, bummers, etc Chauvenet’s Criterion Grubb’s Test Robust statistics using ISO 13528: 2005, e.g.
iteration
(We) will not be participating in cycle three of what you euphemistically call your quality control scheme.
Quaint statistical manipulation and unacceptable transcription errors render your scheme more than a little suspect.
Please note that we do not require reports. I would sooner the paper be saved for a more useful function than cluttering up my waste paper basket.
Support Teaching material Seminars Extra samples Custom designed reports
They are mere sets of figures, albeit with useful information
They give you warnings, not facts You can be “out of control” and not have
a non-conformance Things are not always what they seem
Myth:Mark Twain said:Lies, damned lies and statistics
Truth:Statistics don’t lie – it’s people who lie!
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By calculation from formulation CRM RM Consensus from reference labs Consensus from participating labs
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Analytes used Sodium, measure of osmotic equilibrium Glucose, likelihood of diabetes Bilirubin, an assessment of liver function
Fitness for purpose – Acceptable Range Sodium 3% Glucose 7.4% Bilirubin 20.0%
Methodology Each lab’s results for an entire 6-month
cycle Reduced to one single figure, CV,
basically, SD as a percentage of the mean / average result
Reviewed for changes per lab, and overall number of labs within the fitness-for-purpose percentage
Findings Sodium 99.9% within f-f-p range Glucose 99.3% within f-f-p Bilirubin 99.1% within f-f-p
General IF first cycle out, next one always in f-f-p UNLESS instrument changes
TSH, thyroid function test, assessment of thyroid stimulation
T4, thyroid function output test PSA, prostate specific antigen
FFP TSH, 20% T4, 15% PSA, 25%
Methodology As for Chemistry
TSH, 94.9% within f-f-p T4, 89.9% within f-f-p PSA, 95% within f-f-p
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PT an essential tool Needs education, interpretation Can assist in complying with quality
standard Detects changes, e.g. Instrument Cannot lead to CQI, rather compliance
with f-f-p