Understanding and Reducing Variation in Healthcare

  Category: SPC, Analysis, Variation

Monday 22nd May 2017 - Leeds

An introduction to understanding variation in healthcare. This is designed to support clinicians, managers and analysts in the Yorkshire & Humber region.

Date: Monday 22nd May 2017, 10:00 - 16:15 (registration from 09:30am)

Venue: NHS Horizons, 2 Brewery Wharf, Leeds, LS10 1JR

Registration: Registration is now closed

Flyer: The flyer for this event is available here

For further information please contact Shahima Begum on 01274 383966, or at shahima.begum@yhahsn.nhs.uk.

The workshop/event is FREE to all NHS and Care organisation staff within the Yorkshire and Humber region, but a cancellation charge of £50 may apply if less than 48 hours’ notice is given.

As a follow up to this workshop, we will be offering a full day practical session on how to plot and produce Statistical Process Control (SPC) in Healthcare (see here for the next session).


09:30 Registration

10:00 Welcome and introduction

Understanding Variation Part 1

12:30 Lunch

Understanding Variation Part 2

16:15 Close

The event will be delivered by:

Professor Mohammed A Mohammed
Professor of Healthcare, Quality & Effectiveness, University of Bradford

Professor Mohammed has extensive experience in health care quality in both primary and secondary care and is a leading expert in SPC. He has also published a number of key papers on the use and abuse of statistics.

Professor Mohammed is a Professor of Healthcare, Quality & Effectiveness in the Faculty of Health Studies at the University of Bradford and the Deputy Director at The Bradford Institute of Health Research. He is an Academic Advisor to the Yorkshire & Humber Academic Health Sciences Network Improvement Academy.



Feedback from previous Understanding and Reducing Variation in Healthcare events

"Gave a good overall understanding of reducing variation through the SPC charts. Excellent theoretical knowledge to support learning"

"Very well presented, polished, balanced views."

"Clear - using same examples at beginning and end of theoretical overview powerful"

"Very interesting and enjoyable. I didn't lose concentration once!!"

"Interesting to see a different way of looking at "famous" cases data such as Bristol heart scandal. Very relevant"