A local authority approached us, for a cost-beneficial solution to their increasing low back pain referrals. We proposed developing a student-led clinic – an intervention delivered by students but supervised by clinicians. We then conducted scoping reviews on student-led clinics in the management of health conditions and on the self-management of back pain. The findings suggested that student-led self-management interventions for low back health should be feasible. The next step was to co-construct the intervention with key stakeholders. A hybrid of Action Research and Design Science methodology was used to co-construct the intervention with five key stakeholder groups (council staff, managers and human resources, employee healthcare, students, and lecturers). Three rounds of focus groups explored the ‘problem’, the possible solutions, the process, and the content. Themes were taken from each of these focus groups and the similarities and differences were analysed. This analysis and subsequent synthesis with the evidence base created potential intervention models, which were discussed and refined with the stakeholder groups.Background
Co-Construction
The purpose of this study was to discover if student led clinics (SLC) are feasible delivery mechanisms for Low back pain (LBP) self-management support and to develop a service model. LBP is the most commonly reported musculoskeletal disorder worldwide. The increasing service and workforce demands of LBP are challenging for providers and policy makers. self-management is appropriate for many people living with LBP yet guidance for self-management is lacking. One potential delivery mechanism is through SLC. These are ‘clinics’ run by students, supervised by clinicians.Purpose
Background
Current policy and practice aimed at tackling work disability due to low back pain is largely aligned with the Psychosocial Flags Framework, which focuses on addressing individual beliefs and behaviours (yellow and blue flags). However, our understanding of the systemic and contextual factors (black flags) that are also proposed to act as obstacles within this Framework is under-represented, resulting in a disproportionate evidence base and suboptimal interventions. A ‘best-evidence’ synthesis was conducted to collate the evidence on those ‘black flags’ proposed to be the most important: compensatory systems (worker's compensation and disability benefits), healthcare provider systems and ‘significant others’ (spouse/partner/close family members). A systematic search of scientific and grey literature databases was performed, and the validity and merit of the available evidence was assessed using a system adapted from previous large-scale policy reviews conducted in this field.Background
Methods
