Versus Arthritis has partnered with Imperial College London to develop the Musculoskeletal Calculator, a prevalence modelling tool for musculoskeletal conditions.
Find Clinical Commissioning Group data
Clinical Commissioning Group data for osteoarthritis (OA) of the hip and knee, back pain and rheumatoid arthritis (RA) for England and Scotland.
Find Local Authority data
Local Authority data for osteoarthritis (OA) of the hip and knee, back pain and rheumatoid arthritis (RA) for England and Scotland.
MSK Calculator FAQ
Versus Arthritis has partnered with Imperial College London to develop the Musculoskeletal Calculator, a tool designed to produce prevalence estimates (i.e. how many people have a condition) for musculoskeletal (MSK) conditions.
Download full MSK Calculator datasets
Download the musculoskeletal (MSK) calculator data sets for the prevelance of osteoarthritis, rheumatoid arthritis and back pain in England and Scotland.
Other resources where the MSK Calculator is available
Public Health England’s Fingertips
The aim of this tool is to provide meaningful data, on a single platform, to enable the commissioning of high value musculoskeletal services. Musculoskeletal data is essential for understanding the health needs of local populations, the amount of people accessing services, the cost of services and the outcomes services deliver.
Local Government Association’s LG Inform
LG Inform presents you with up-to-date published data about your local area and the performance of your council or local authority. Whether you’re interested in scrutiny, a particular service area, or simply need an overview, it can help you review and compare performance with other authorities.
NHS RightCare’s focus packs
Our focus packs provide detailed information on the highest spending programmes, including musculoskeletal services. The packs include a wider range of outcome measures and information on the most common procedures and diagnoses for the condition in question. They help CCGs begin work on phase two of the NHS RightCare approach ‘What to Change’ by using indicative data to identify improvement opportunities.