4. Measuring Improvement

This Section asks what data you would need to measure implementation and improvement and how you will collect it.

You may want to work with other health and social care organisations and specialist groups to compare current practice. This may also help identify local issues that will slow or prevent implementation.

Things to consider when identifying the data sources you may need:

System-level measures of community wellbeing and population health including reductions in avoidable deaths for treatable conditions, improved mental health and wellbeing, and the proportion of populations engaged in healthy lifestyle behaviour

Personal health outcomes to people and communities, primarily relating to measures of improved quality of life, remaining independent, and reducing risk factors to better manage existing health conditions 

• Organisational processes and characteristics that support evidence that systems to support high-quality people centred and integrated services are in place, for example in improving access to care, care planning, better care transitions, self-care support, care management and medications reconciliation

• User and carer experiences of, for example, shared decision-making, care planning, communication and information sharing, and care co-ordination.

In simple terms, you are requested to identify the Metrics you will use to measure improvement once your project is implemented.  

An example of selected outcomes and example metrics that can be sued to subsequently measure impact. 

The above outcomes and metrics are only a selection of examples. You will need to choose specific outcomes and metrics for your own locality, which will be tailored to local dynamics and influenced by your own research aims and objectives.