Sigma metrics in veterinary testing
By Sten Westgard, MS
By Sten Westgard, MS
By Sten Westgard, MS
“Our
results also question the validity of using HbA1c test results as a measure of
the quality of diabetes care. Given the
present state of the art for HbA1c testing, the proposed pay-for-performance
use of these results could lead to an ironic scenario in which analytic methods
that are biased low relative to the NGSP reference method are considered to
reflect a high quality of care and secure a better level of reimbursement for
the provider while at the same time promoting clinical inertia for the
intensification of diabetes treatment and underestimating the risk of diabetic
complications.”
“The gap between the level of analytic quality that experts consider necessary to obtain the maximum clinical usefulness from an HbA1c test and the level of performance presently provided by the methods used in the United States suggests that there is, indeed, cause for concern. The shortcomings of contemporary HbA1c testing need to be more widely recognized by the end users of the results. In addition, individuals and organizations involved in the design, manufacturer, performance, accreditation, and regulation of HbA1c testing need to devise and implement plans for improving the analytic quality of this important test.”
Holmes EW, Ersahin C, Augustine GJ, Charnogursky GA, Gryzbac M, Muttell JV, McKenna
KM, Habhan F, Kahn SE. Analytic bias amoung certified methods for the
measurement of hemoglobin A1c. Am J Clin Pathol 2008;129;540-547.
When you add pay for performance on top of the method bias problems, you've got a scary scenario. Just by switching to a new, lower-reporting method, clinicians and institutions could increase their compensation - without ever changing the quality of healthcare delivered to patients. That's not pay for performance. That's pay for method bias.
posted by Sten Westgard, MS
This week, AACC is going to host an audioconference on the latest update of CLIA. We're celebrating 20 years of CLIA in 2008.
Over at the online store, you can celebrate by saving $20 off the price of the CLIA Final Rules manual.
Use the coupon code clia20 during the checkout and you'll save $20.
This offer will run from now (October 6th) until Halloween - that's more than 20 days of savings.
One of the highlights for me of the AACC convention in Washington, DC, was my inclusion in a poster that analyzed the method performance of the Abbott Architect c8000. I'm pictured here with fellow authors (left to right) Gene Osikowicz, Charles Wilson, and John Baker (lead author). They deserve most of the credit for the work of collecting the data.
The poster can be viewed here and the QC application on Westgard Web can be viewed here.
What's New this month at Westgard Web:
FALL WORKSHOPS: Last chance for Early Registration
WORKSHOP: Method Validation and Verification
1-day intensive training based on the new edition of Basic Method Validation
Two locations to choose from
October 10th, Abbott Park, Chicago, Illinois
[supported by an educational grant from Abbott Diagnostics]
October 17th, Olmsted Clinic, Rochester, Minnesota
[supported by an educational grant from Olmsted Clinic]
Find out more and get a coupon for early registration discounts at
http://www.westgard.com/workshops.html#bmv
WORKSHOP: Six Sigma Quality Design and Control
Dr. Westgard's most popular and most requested workshop is back.
1-day introduction to Six Sigma, with new applications
and innovative tools.
November 12th, Spectra Laboratories, Rockleigh, New Jersey
[Supported by an educational grant from Spectra Laboratories]
Find out more and save $100 off the regular registration rate at
http://www.westgard.com/workshops.html#sigma
HIGH RELIABILITY TESTING: First Principle - Preoccupation with Failure
One of the key principles in High Reliability Organizations is a
Preoccupation with Failure. No, this doesn't mean a lab that needs Prozac.
While Preoccupation with Failure may sound bad, in HROs, this focus on error
is a key factor in safety and success.
http://www.westgard.com/lesson85.htm
GUEST ESSAY: Time to Engage in Measurement Uncertainty
In the ongoing "War of Words" in the Lab, it's time to hear another voice.
Dr. Dietmar Stockl, an expert from across the Atlantic,
provides us with a detailed essay explaining how measurement uncertainty
can be useful to the laboratory - and even co-exist with Total Error.
http://www.westgard.com/guest41.htm
WESTGARD SIGMA ANALYSIS: Automated POC hematology instrument
A recent paper in a prominent journal evaluated a new POC hematology instrument.
They concluded that the performance was "within acceptable limits."
When the bar is that low, what's the actual Sigma performance?
By Sten Westgard, MS
While Dr. Westgard has spoken about the "War of Words" between Uncertainty and Total Error in several essays (here, here and here most recently), we thought readers might want an additional perspective on the issue.
Dietmar Stockl, an expert in statistics and laboratory quality control from across the Atlantic, graces us with an guest essay on the calculation, use, benefits and limitations of measurement uncertainty: Time to Engage in Measurement Uncertainty. Dr. Stockl provides an in-depth look at uncertainty concepts and calculations, as well as a moderate viewpoint on the use of the term. He views both Total Error and Measurement Uncertainty are useful concepts and believes there is room in the world for both of them. It's not necessary for one term to eliminate the other.
Not so coincidentally, a colleague of Dr. Stockl's, Linda Thienpont, has a letter in Clinical Chemistry talking about the attempt to incorporate bias into the calculation of measurement uncertainty. If bias can be thrown into the uncertainty calculations, a case could be made that Total Error is no longer necessary. Dr. Thienpont points out that slipping bias into the uncertainty calculations is not a good idea and can lead to distorted results. She concludes that bias must remain separate from uncertainty calculations, which means another approach like Total Error is required to account for it.
See more at Thienpont LM. Calculation of measurement uncertainty-Why bias should be treated separately. Clin Chem 2008;54:1587 (subscription required)