2. The Quality Conversation January 24, 2014

*|MC:SUBJECT|*
#2: The Quality Conversation
View this email in your browser

STATS-FREE Quality!

The Journey to Stats-Free QualityStats-Free Quality (SFQ): "Stats-Free QC assesses and verifies that patient results meet  defined clinical standards.  Results are conveyed in  standardized grades and graphics with interpretive comments and action flags."    (Z Brooks, 2014)

 
The first control chart; The first Q.C. Gap
Walter A Shewhart, 1924, and the Hawthorne factory

Setting the stage:  It all began 90 years ago ....
"The year 1924—at a factory in Cicero, Illinois—saw the start of two of the most important developments ever in managerial thinking. In May that year Walter Shewhart described the first control chart which launched statistical process control and quality improvement. In November of that year there began a series of research projects which came to be known as the Hawthorne studies. ..."   Read more   http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2464836/ 

Apparently the gap between theory and practice is not a new phenomenon.
Shewhart was a skilled theoretician, but could not successfully convey quality ideas to the manufacturing work force.”     
The Journey to Stats-Free Quality  -  25 Years in 25 Weeks

FREE 25 week 'Webinar+' Quality Conversation
Link to  the 25 week outline, references, discussion forums and more.

This is a conversation, not a lecture!
Here's how it works:

Enroll in Webinar Series1.   Read the newsletter
2.   Complete the online polls, surveys & discussion forums
3.   Ask questions, send case studies, talk to colleagues
4.   Join the live Webinar with Q & A
         Every Thursday, 2:30 PM EST, beginning January 30th

         30 minute presentation of each week's topic, plus Q&A
  
Webinar recordings will be posted .   

This conversation requires YOU.  Please join the discussions, spread the word, participate in and follow the studies, be part of the process.
 
This week's online discussions: 
  1. Do you think it is OK for 1 result in 20 to be medically invalid?
  2. Assume for the moment that this change in Q.C. practice will make a significant improvement, what are the obstacles to overcome?   

Webinars:  Thursdays at 2:30 EST

Jan 30: 
Stats-Free QC.  The Journey Begins


Feb 6:    "If we only knew then what we know now ... oh wait, we did!"

Why Stats-Free? This fails the DIMS test

.... because today's Q.C. fails the DIMS test.

  1.  It is NOT OK for one patient result in 20 to be medically invalid.
  2. There are NOT 192 right ways to do Q.C.
  3. Current Q.C. practices are  pitifully ineffective to prevent patient errors.
  4.  We know today's Q.C. is broken.  It's time to stop doing what we have always done ...
  5.  Most lab staff have zero to ten hours education in stats & QC.

A Different Perspective

Visit  AWEsome Numbers on Facebook!
Our goal -  clear communication between all the stakeholders in laboratory quality.
AWEsome Facebook
Thanks for caring for quality!         
Please forward this to friends and colleagues.

Zoe Brooks     January 24, 2014
REFERENCES
  1. M Best and D Neuhauser,   Walter A Shewhart, 1924, and the Hawthorne factory
    Qual Saf Health Care. 2006 April; 15(2): 142–143.doi:  10.1136/qshc.2006.018093PMCID: PMC2464836

    Visit www.awesome-numbers.org for more references,studies, publications, links and more
Please note.  I am not being critical of any individual person, institution or organization.  I want to express my most sincere respect, admiration and appreciation to  Dr. Westgard and so many others.  This process does not contradict  today's  published  recommended, principles and processes; it just implements them differently. 
Last modified: Tuesday, 4 February 2014, 11:46 AM