Background: 20 million people in UK have musculoskeletal (MSK) aches and pains. They commonly see their GP about this problem, but practices are so busy that it can mean a long wait for appointments. First Contact Practitioner (FCPs) are now working in the GP practices to see patients with MSK problems instead of their GP. A national evaluation has found this to be working well. For FCPs working in GP practices there is more clinical risk. The patients have not been previously screened by a doctor to ensure there is no medical cause for their pain. The Chartered Society of Physiotherapists (CSP) has advised that all FCPs be clinicians with the highest level of experience, known as Advanced Practitioners. However the demand for FCPs far outweighs the number of Advanced Practitioners available so physiotherapists being hired have less experience. Evidence shows that clinicians of different experience levels have different decision-making strategies which may cause unwarranted variation in care. A new method is needed for oversight and support of the FCPs. Clinical supervision is commonly utilised in the NHS and in physiotherapy teams. It is a space to reflect on a clinician's performance and create learning opportunities. This research suggests an individual data dashboard, shared only with individuals and their supervisor, that feeds back a clinician's own decision-making data to them, relative to their peers. For example, the participant is "in the top 20% of MRI requesters" or "in the top 20% of those referring to social prescribing". This type of feedback is known as 'social norms' feedback. It has been proven to be an effective way to change healthcare workers behaviour. The intervention will be called PRISM: Primary Care Individual Social Norms MSK Data Dashboard. Aims To explore the feasibility of a randomised clinical trial comparing the clinical decision-making behaviour of FCP services using the PRISM Dashboard and a usual service with no clinician feedback. Design \& Methods: This research is a feasibility trial, a process to assess whether a future full scale clinical trial within the NHS would work. It will take place across 4 different Primary Care commissioning areas to determine the possibility of recruitment, retention, outcome collection and whether people will use the intervention. PPIE for this research included one primary care PPI rep, one digital interventions PPI rep and 3 Healthwatch PPI reps. Engaging different PPI sources enabled participation from different social , cultural and ethnic backgrounds. Dissemination I will communicate research updates and outputs in conferences, via social media, blogs, newsletters and podcasts. I will use my own network as well as the reach of collaborators in this work, ie. Healthwatch, NHS England/Improvement, The (CSP), the physiotherapy digital network, Keele University and UCL research networks.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Feasibility - Number of Participants recruited to the study
Timeframe: 0, 3 and 6 months
Feasibility - Number of Participants retained to the study at 3 and 6 months
Timeframe: 3 and 6 months
Feasibility - Number of clinician participants collecting data through a template.
Timeframe: 3 and 6 months
Feasibility of participants engaging with the dashboard intervention in a future trial
Timeframe: 3 and 6 months
Feasibility of recording the number of clinical supervision sessions that utilise the PRISM dashboard as recorded in a supervision log
Timeframe: 3 and 6 months
Completion of outcomes as a measure of feasibility
Timeframe: 0,3 and 6 months