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How to use mySugr analysis

3/14/2016 by Anne Kainz

You’ve been diligently logging your diabetes data. The first reward you notice is feeling better. And the second is a clean and well-filled logbook with data. Lots and lots of data....

I’ll help you find your way through this overwhelming sea of data with mySugr’s analysis feature. Ready? I admit, data is not a friend of mine. We don’t get along. I’m not a data-person. A perfect match for diabetes, right? Nevertheless, evaluating our diabetes-related data is super important for us, because we can learn a lot from it and improve our therapy.

Are mySugr entries really so important?

Yes, each entry really is important. The more data you have, the more meaningful your analysis will be. With the analysis (and some data, a.k.a. your entries), we give you a quick and easy overview of how your diabetes therapy has been lately. Has it been well-behaved in the last days, weeks, months?

Introducing mySugr’s analysis feature

The answer is just a few “swipes” away. To get into the analysis, simply swipe left on your home screen. Now you can see your averages for the last 7 days on the first screen. Keep swiping to see 14, 30 and 90 days.

Ready for an example?

Let’s take a look at the 90 days / quarterly analysis. This is my personal favorite and is really helpful when I’m sitting in the doctor’s office.
Screenshot of mySugr Logbook's quarterly analysis stats screen
Displayed here we have:
  • your diabetes monster
  • time period
  • BG average
  • standard deviation
  • number of hypers and hypos (according to your targets)
  • average carbs per day
  • average bolus insulin per day
  • total amount of activity
I always find the Hypo/Hyper distribution particularly interesting. I’m really proud when it is quite balanced. Now scroll down a bit and for each quarter you’ll find a graph.
Screenshot of mySugr Logbook analysis graphs and stats
In the quarterly analysis, the dots on the graph represent your weekly average. You’re already used to the color coding and know that if the average is in your target, the dot is green.

Looks nice, but are there also numbers?

Sure, of course. Do you see that intriguing little arrow on the top right of each graph segment? Do you have any guesses what happens when you tap on one? Give it a try! Here are all of the stats for that block. You’ll also find the ratio of bolus/basal (or long-acting) insulin and the ratio of food versus correction insulin. These ratios can help you decide if you need to troubleshoot your basal rates or look for patterns where you might be correcting highs a lot. I can also drag the graphs up and down to compare each quarter to the last. Notice how the top row of stats “stick” so that it’s easy to compare? The same principles apply to the 7, 14, or 30-day analysis. Simple, quick and clear.

Are you missing anything?

Tell us in a comment, have you played with the analysis? What do you love? What parts do you use most, and how? What are you missing?

Anne Kainz