Event led by Matt Tite
Overview of the day
All improvements require a change, but not all changes are improvements. Applying rigorous measurement to an improvement project is essential. The “7 steps to measurement” is a road map used to ensure improvements can be evidenced. This full day session will introduce the concepts of Quality improvement (QI) and its links to measurement for improvement. The practical workshop will allow delegates to understand how to do NHS improvement, exploring existing improvement methodologies.
On the ‘AFN Measurement for improvement’ day the network will learn about the links between PDSA (a structured approach to testing change) and statistical process control (a way of displaying the data to understand if it has changed over time), using the 7 steps to measurement.
The day will give practical advice on developing a programme aim and explore tools for developing robust measures from that aim. Building upon the Donabedian Model of Outcome, process and balancing measures, the day will explore how to demonstrate a strong baseline (before any change), then understand how to demonstrate improvement. Finally, converting this into a calculation for understanding any Return on Investments (ROI).
Who should attend?
The course is aimed at anyone wanting to be involved in making a positive change (improvement) in the NHS, also people who are keen to publish robust improvement stories, or plan on working nationally in QI.
It is essential that the project leads and information leads from each of the test sites attend.
Areas covered:
- QI History
- The origins of the model for improvement
- PDSA and its links to Statistical Process Control
- Using Statistical Process control within Improvement
- The 7 Steps to measurement
- Understanding and applying Pareto in the NHS
- Driver diagrams Vs cause and effect diagrams
- Understanding and calculation return on investment for improvement projects
- What to publish and how to structure publications