Posted: 24 July 2017
Most people with an interest in the adult social care workforce know that we use the National Minimum Data Set for Social Care (NMDS-SC) data, as well as our modelled workforce intelligence, to estimate the total numbers of people working in the sector, what jobs they do and where they do them.
We also monitor overall workforce trends, and can focus in on particular issues, for example, turnover, pay or nationality. But we also use NMDS-SC data in much more innovative ways.
Last year, we were part of a successful bid led by Professor Karen Spilsbury at the University of Leeds responding to a call for research by the National Institute for Health Research (NIHR). The team was made up of leading social care, health and economics academics from the University of Leeds, University of Surrey, City University London, University of East Anglia and Newcastle Universities as well as senior managers from BUPA UK who met for the first time last month.
The ground breaking project is a three year study looking at the Relationship between care home staffing and quality of care. Our analysts will work with the University of Leeds statisticians using matched (then anonymised) NMDS-SC workforce data and Care Quality Commission (CQC) inspections data to look for relationships between key staffing variables and inspection scores against the five key lines of enquiry. For example – do providers with better qualified staff achieve higher inspection scores?
It’s a very worthwhile and exciting project. It’s fantastic for me and the team to be benefitting from the incredible knowledge being contributed by five outstanding universities. The team will learn a lot along the way and produce some tangible outputs that will contribute to driving up quality in the sector. We’ll keep you posted on our progress.