1. Model for Improvement & data collection
28th September 2010
Model for Improvement & data collection
Lisa Williams (Data Analyst)
Insert name of presentation on Master Slide

2. Aim Quick recap of Model for Improvement 7 steps of measurement
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. Good news! =
The How to Guides provides the reviewed evidence and best practise interventions with measurable aim

5. Aim, Process & Outcome
Aim
&
Outcomes
Processes to improve outcomes

6. Introducing change – PDSA Cycle's)
Standard methodology reduced used across Wales to reduce Waste, Harm, and variation.

7. 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

8. 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

9. 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-

10. Step 4 - Data collection
For the measures listed in the starter guide consider how you are going to collect the data.

11. 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

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

13. Demonstrate data collection\analysis tool

14. 1 Decide aim
2 Choose measures
3 Define measures
6 Review measures
5 Analyse & present
7 Repeat steps 4-6
4 Collect data

15. Summary Model for improvement – Study (measurement) often neglected.
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.