Monthly Archives: October 2013

Distribution of QDiabetes Results in a random GP practice

 

We looked at the distribution of QDiabetes scores in an urban practice of 14500 in semi-rural Berkshire, so an area of mainly white/caucasian patients and found this distribution.  Clearly a higher incidence of higher scores in men, and mainly in the 50-60yr old age group

We are shortly going to target those with a higher risk score for focussed screening.

 QDScore > 20% Female   0 0 0 0 11 26 51 6 0 0 0
  Male   0 0 1 2 16 40 70 9 0 0 0
QDScore > 30% Female   0 0 0 0 1 11 19 2 0 0 0
  Male   0 0 0 1 4 16 23 5 0 0 0
QDScore > 40% Female   0 0 0 0 0 4 1 0 0 0 0
  Male   0 0 0 1 2 5 3 0 0 0 0
QDScore > 50% Female   0 0 0 0 0 1 0 0 0 0 0
  Male   0 0 0 0 1 1 2 0 0 0 0

QDiabetes compared with other risk tools

QDiabetes appears to fare well in comparison with other Diabetes risk assessment tools

“The QDScore (QDiabetes) was one of the best discriminatory models across countries. It is based on more predictors than other models are and so uses more information, and was developed from a large sample, providing precise estimates of the associations between predictors and outcomes”

http://www.sciencedirect.com/science/article/pii/S2213858713701037

PreDM Project on tour!!!

I’m currently stopped over at Nottingham on my way to the RCGP Conference tomorrow in Harrogate for a Poster Presentation, then back down for Friday at the Emis NUG Conference and a lunchtime presentation there.

Come and see me at either (or both) conference!