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

Aim Quick recap of Model for Improvement 7 steps of measurement Demonstration of data collection/analysis tool

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.

Good news! = The How to Guides provides the reviewed evidence and best practise interventions with measurable aim

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

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

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

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

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-

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

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

How do you present your data? Look Familiar?

Demonstrate data collection\analysis tool

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

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.