Abstract

BackgroundStratified care involves subgrouping patients based on key characteristics, e.g. prognostic risk, and matching these subgroups to early treatment options. The STarT-MSK programme developed and tested a new stratified primary care intervention for patients with common musculoskeletal (MSK) conditions in general practice. Stratified care involves changing General Practitioners’ (GPs) behaviour, away from the current ‘stepped’ care approach to identifying early treatment options matched to patients’ risk of persistent pain. Changing healthcare practice is challenging, and to aid the successful delivery of stratified care, education and support for GPs was required. This paper details the iterative development of a clinician support package throughout the lifespan of the programme, to support GPs in delivering the stratified care intervention. We argue that clinician support is a crucial aspect of the intervention itself, which is often overlooked.MethodsQualitative research with patients and GPs identified barriers and facilitators to the adoption of stratified care, which were mapped onto the Theoretical Domains Framework (TDF). Identified domains were ‘translated’ into an educational paradigm, and an initial version of the support package developed. This was further refined following a feasibility and pilot RCT, and a finalised support package was developed for the main RCT.ResultsThe clinician support package comprised face-to-face sessions combining adult-learning principles with behaviour change theory in a multimethod approach, which included group discussion, simulated consultations, patient vignettes and model consultation videos. Structured support for GPs was crucial to facilitate fidelity and, ultimately, a successful trial. Clinician support is a two-way process– the study team can learn from and adapt to specific local factors and issues not previously identified. The support from senior clinicians was required to ensure ‘buy in’. Monitoring of GP performance, provision of regular feedback and remedial support are important aspects of effective clinician support.ConclusionDesigning effective clinician support from the onset of trial intervention design, in an evidence-based, theory-informed manner, is crucial to encourage active engagement and intervention fidelity within the trial, enabling the delivery of a robust and reliable proof-of-principle trial. We offer practical recommendations for future general practice interventions.

Highlights

  • Stratified care involves subgrouping patients based on key characteristics, e.g. prognostic risk, and matching these subgroups to early treatment options

  • We argue that developing adequate clinician support is a crucial aspect of broader intervention development, which is often overlooked during broader clinical intervention development, and we provide practical recommendations that can serve as a guide for the development of future primary care interventions

  • The clinician support package included printed and laminated prompt sheets for General practitioner/ general practice (GP), a training log to ensure that no GPs were excluded, and a plan agreed with each practice to cascade the training to any new recruits or locum GPs

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Summary

Introduction

Stratified care involves subgrouping patients based on key characteristics, e.g. prognostic risk, and matching these subgroups to early treatment options. Stratified care involves changing General Practitioners’ (GPs) behaviour, away from the current ‘stepped’ care approach to identifying early treatment options matched to patients’ risk of persistent pain. A further programme of work, STarT MSK (Subgrouping for Targeted Treatment in MuSculosKetal conditions), has been developed to test stratified care for a broader range of patients with musculoskeletal (MSK) pain in general practice. Important considerations are clinicians’ preference for established frameworks, whether they consider the intervention meaningful and relevant [7] and perceived threats to clinical autonomy [8] Failure to address such concerns in clinical trials that are focused on innovation can result in poor recruitment to trials, compounding poor or misleading data, and a risk that the intervention will not be adopted [9]

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