Keeleā€™s National MSK Audit

The National MSK Audit and Research Database project at Keele University seeks to collate, analyse, and report real-world quality data for musculoskeletal (MSK) community and primary care services (focused to community MSK services and First Contact Practitioner (FCP) primary care services) in order to develop a learning health system approach.

MSK logo

This project aims to evaluate the feasibility of a prototype data collection platform for providing enhanced health intelligence across community MSK services to improve the quality of care in this setting. It will include patient and clinician inputted data to measure the quality and effectiveness of care provision for patients presenting with common MSK conditions including joint, muscle, or back pain/symptoms.

The study will develop methods to bring together routinely collected clinical data on a large scale (taking learning from Keele’s MIDAS study). It will develop our ability to: collect MSK data at scale, share data and house in a central back-end data repository (West Midlands Secure Data Environment), integrate data from different sources, and analyse big data including developing benchmarks/identifying outcome variation, ensuring we have the right processes, agreements, and structures in place.

The project will be co-produced with patient partners to ensure that it meets the expectations and needs of those living with MSK conditions and provides both healthcare users and healthcare professionals with a vehicle to capture, assess, monitor, and report treatment outcomes more successfully.

Chief Investigator: Professor Jonathan Hill
Principal Investigator: Dr Roanna Burgess
Study Co-ordinator:
Email:
Tamanda Millward
fmhs.nationalmskaudit@keele.ac.uk 
Funder name: Pfizer Limited (Ref: 70149581) (Phase 1)
The British Society of Rheumatology (Phase 2)
Ethics:

This study has been reviewed and approved by the South-West - Central Bristol Research Ethics Committee via IRAS for the research database (REC reference number 23/SW/0059, IRAS project ID 324885).  The database will use a consent model for permissions regarding the sharing, storage, and use of patient data.

Year:

Ethics Approval May 2023-2028

Study objectives

Methods:

Study Aim

To evaluate the feasibility of a prototype data collection platform for providing enhanced health intelligence across community MSK services to improve the quality of care in this setting. 

Design

Observational MSK health intelligence prototype platform allowing routine MSK data to be shared to a central repository for collective analysis with the appropriate approvals/permissions in place. 

Setting

Community musculoskeletal services providing care across the community which can also include MSK care within primary care settings (e.g. MSK First Contact Practitioner (FCP) clinics).

Eligibility Criteria:

Organisations/Services

Organisations providing MSK services to adult patients (18+) set in the community and able to standardise routine data capture to collect the agreed minimum dataset. Services must have the ability to invite at least 2000 MSK patients to share their data to the health intelligence prototype platform within a 12-month period.  

Patients

Adults 18+ years consulting with an MSK pain condition to a participating community MSK service and who provide consent to share their data to the prototype health intelligence platform for research purposes.

Taking Part

We are aiming to engage with 40 MSK/FCP services that are keen to collect our standardised set of MSK metrics. Services will benefit from individualised reports, anonymised benchmarking against peers (to see where your service sits alongside other similar services), quality of care measured against defined quality indicators, and support around using data for quality improvement.

Please contact fmhs.nationalmskaudit@keele.ac.uk if you have any queries.

Burgess, R., Lewis, M. and Hill, J.C., Benchmarking community/primary care musculoskeletal services: A narrative review and recommendation. Musculoskeletal Care.  https://doi.org/10.1002/msc.1676

Burgess, R., Lewis, M., McRobert, C. and Hill, J.C., 2021a. Developing a Core Outcome Set for Community and Primary Care Musculoskeletal Services: A Consensus Approach. Musculoskeletal Science and Practice, p.102415.

Burgess, R., Lewis, M., and Hill, J.C., 2021b. Musculoskeletal case-mix adjustment in a UK primary/community care cohort: Testing Musculoskeletal models to make recommendations in this setting. https://authors.elsevier.com/sd/article/S2468-7812(21)00139-9

Burgess, R., Hall, J., Bishop, A., Lewis, M. and Hill, J., 2020. Costing Methodology and Key Drivers of Health Care Costs Within Economic Analyses in Musculoskeletal Community and Primary Care Services: A Systematic Review of the Literature. Journal of primary care & community health, 11, p.2150132719899763

Burgess, R., Bishop, A., Lewis, M. and Hill, J., 2019. Models used for case-mix adjustment of patient reported outcome measures (PROMs) in musculoskeletal healthcare: A systematic review of the literature. Physiotherapy, 105(2), pp.137-146.

Hill, J.C., Kang, S., Benedetto, E., Myers, H., Blackburn, S., Smith, S., Dunn, K.M., Hay, E., Rees, J., Beard, D. and Glyn-Jones, S., 2016. Development and initial cohort validation of the Arthritis Research UK Musculoskeletal Health Questionnaire (MSK-HQ) for use across musculoskeletal care pathways. BMJ open, 6(8), p.e012331.

Stynes, S., Jordan, K.P., Hill, J.C., Wynne-Jones, G., Cottrell, E., Foster, N.E., Goodwin, R. and Bishop, A., 2021. Evaluation of the First Contact Physiotherapy (FCP) model of primary care: Patient characteristics and outcomes. Physiotherapy.

MIDAS study

https://www.keele.ac.uk/midas/

Please click here to be directed to the NIHR EDI Research Strategy page.

Download the Keele Community MSK Data Dictionary (50 KB)

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Download the Keele Community MSK Data Dictionary FCP (54 KB)

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Download the National MSK Database Onboarding Presentation (602 KB)

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