The MSK-Tracker study
This study is aimed to test a new digital health platform to improve the quality of consultations for people with musculoskeletal (MSK) symptoms.
Together with Keele and Oxford Universities, doctors and physiotherapists at the Staffordshire Musculoskeletal Interface Service are doing a research study to test a new digital health platform called the MSK-Tracker to improve the quality of consultations for people with joint, back, neck, bone and muscle symptoms.
The MSK-Tracker uses an online questionnaire to help patients to:
- track the extent to which aspects of their health are affected by their MSK condition;
- prepare appropriately for their clinical encounters, and;
- take the right steps to making positive changes to improve their quality of life and manage their condition over the longer-term
Dr Jonathan Hill Email: firstname.lastname@example.org
Dr Jonathan Hill
|Funder name / reference number:||Arthritis Research UK: Ref 21405|
|UKCRN Study portfolio:||CPMS ref: 37677|
This study is using a before and after design in a single clinical service, to test the MSK-Tracker.
- Phase 1 (June-July 2018) involves an online questionnaire without the new innovations.
- Phase 2 (Aug-Sept 2018) involves a few cycles of testing and improving the new online MSK-Tracker.
- Phase 3 (Oct-Dec 2018) will test the MSK-Tracker to see if it helps empower patients and has an impact on the quality of care given.
In addition to the online questionnaire, patients will be given the option to take part in individual interviews, which will present their experiences on using the online system.
Recruitment for the study will be starting in June 2018 and will close approximately December 2018.
- Test the ability of the MSK-Tracker to act as an empowerment tool and method of facilitating a person-centered care planning approach in routine MSK clinic consultations.
- Assess the value of the MSK-Tracker in generating aggregated outputs that inform MSK service improvement.
Here is a link to a list of trustworthy MSK self-management resources:
Jonathan Hill is leading a further research project in 10 different European languages/countries called Back-UP to develop a web app that helps clinicians select and send online resources to patients within an individualised care plan.
If you are a clinician that is interested in testing this new app with your patients - please email Jonathan at email@example.com
Keele's recommended MSK-HQ standardised dataset and data dictionary (Consultation Phase)
- MSK Community Services Standardised Dataset Supporting Document (PDF)
- MSK Community Data Dictionary Proposed Mandatory Metrics (excel file)
- MSK Community Data Dictionary Plus Optional Extras (excel file)
Feedback on the data dictionary content is welcomed. Email Roanna Burgess at firstname.lastname@example.org
MSK Community Services Standardised Dataset: Consensus Project
The purpose of this project is to develop consensus on a minimum standardised dataset (Core Outcome Set (COS)) for use in musculoskeletal (MSK) community and primary care services. This agreed minimum dataset would include patient characteristics for descriptive analysis of MSK data, variables explaining complexity of the patient population in order to make fair comparisons, patient reported outcome measures (PROMs) to measure effectiveness of treatment, patient reported experience measures (PREMs) to measure patient experience, and any other agreed useful tools. The purpose of widespread data collection is for service evaluation, audit, and benchmarking services, identifying best practice and underperforming services, alongside providing the ability for structured and tailored quality improvement. The standardised dataset however needs to be kept to a minimum to ensure feasibility of collection across MSK services nationally and therefore needs to undergo a national consensus approach to reach agreement on which metrics are essential to collect, which are beneficial but not seen to be essential, and which are not useful for widespread collection. This agreed standardised dataset could then be used to develop a national MSK audit focused to community and primary care services which is currently lacking, to help transform services for the future.
The primary aim is to reach consensus on the minimum dataset (core outcome set) that should be collected across MSK services in order to enable effective service evaluation and benchmarking (allowing for case-mix adjustment to ensure fair comparisons can be made, and including optimum PROMs/metrics to measure effectiveness and allow for quality improvement initiatives/evaluation within community and primary care settings). This dataset needs to be considered feasible and appropriate for collection by clinicians in clinical systems, and feasible and appropriate to patients who will provide the majority of data in the form of questionnaires to be collected and collated by individual MSK services.
The secondary objective is to aid development of methodology for a national audit of community and primary care MSK services.