1. Measurement for Improvement
21st September 2010
Measurement for Improvement
Mike Davidge
Insert name of presentation on Master Slide

2. Aim The Model for Improvement 7 steps of measurement Data sources
Demonstration of data collection/analysis tool

3. Model for improvement Aim Multiple rapid small tests of change
Measurement – Processes and outcomes
Interventions – Care Bundles – Processes
Multiple rapid small tests of change
Standard methodology for implementing interventions which will be used by mini colloboratatives.

4. Would you be able to describe your aim in a couple of sentences?
What is our aim?
Slide 14 - Step 1: Decide your aim
They have just done this as part of the groupwork but also link to Vision session
Would you be able to describe your aim in a couple of sentences?

5. What changes can we make?=
The How to Guides provides the reviewed evidence and best practise interventions with measurable aim

6. Falls driver diagram linking aims, outcome and process
Beyond the 1000 Lives Campaign

7. Why measure?
Challenge the audience with this question. Write down the answers
Ask them if this is easy? And do they find this subject attractive?

8. 7 steps to measurement 1 Decide aim 2 Choose measures
3 Define measures
6 Review measures
7 Repeat steps 4-6
4 Collect data
Steps 1 – 3 are covered by the How to guide
Step 4 – collect your baseline data – e.g. the position prior to starting an intervention
Step 5 – Analyse and present your data
Step 6 – Meet to decide what the data is telling you
Step 7 – Repeat steps 4 to 6 each month or more frequently. (Dependent in how often you are collating your data.)
5 Analyse & present

9. Getting ready to measure
1 Decide aim
2 Choose measures
3 Define measures
Homework: Use the measures checklist to help you make the collaborative measures real to you
Steps 1 – 3 are covered by the How to guide
But you need to confirm for yourself

10. Step 4 – collect data 1 Decide aim 2 Choose measures 3 Define measures
6 Review measures
5 Analyse & present
7 Repeat steps 4-6
4 Collect data

11. Why collect data?
How can we compare, quantify or record changes if we cannot capture our data in some numerical form?
Without measurable data we are at the mercy of anecdote. If you make an assumption based on anecdote rather than data, it will nearly always be wrong because we remember the unusual, not the mundane.
How will we know that any changes we have made will result in an improvement?
“If you can’t express something in the form of numbers, you don’t really know much about it, and if you don’t know much about it, you can’t control it, if you can’t control it you’re at the mercy of chance”
It may well have prompted the project.
It will certainly be needed to understand the current situation.
To manage by fact, you’ll need to quantify and verify possible causes - you need evidence.
To baseline the current performance
In developing solutions you will need data to help determine the most effective approach.
And you’ll need measures in place to act as an early warning system and prompt for further improvement opportunities.
How do you know whether a change is improvement or not?? Quantify-

12. Step 4 - Data collection
For the measures listed in the How To Guide, consider where you could obtain the data.
Use the Measures Checklist section on Collect (page 2)
Consider the patient journey
Automatic data capture – Local informatics\clinical audit teams may be able to offer solutions.
Also consider the joining up of data collection across the LHB
Note any issues in obtaining the data and report back to Julie Boyd

13. Step 5 – Analyse & present
1 Decide aim
2 Choose measures
3 Define measures
6 Review measures
5 Analyse & present
7 Repeat steps 4-6
4 Collect data
“The type of presentation you use has a crucial effect on how you react to data”

14. How do you present your data? Look Familiar?

15. Demonstrate data collection\analysis tool

16. Step 6: Review
1 Decide aim
2 Choose measures
3 Define measures
6 Review measures
5 Analyse & present
7 Repeat steps 4-6
4 Collect data
It is a waste of time collecting and analysing your data if you don't take action on the results

17. Summary Model for improvement – all three questions are vital
Measurement process needs to be a continuous cycle.
Without data and measures how do we know the changes we are making in service are benefiting the patient?