This report presents independent research commissioned by the National Institute for Health Research (NIHR) (NIHR HTA project number 12/201/09). NEF is a Senior NIHR Investigator and was supported through an NIHR Research Professorship (NIHR-RP-011-015). KK was supported by a HEFCE Senior Clinical Lectureship award. The views and opinions expressed by authors in this publication are those of the authors and do not necessarily reflect those of the NHS, the NIHR, MRC, CCF, NETSCC, the Health Technology Assessment programme or the Department of Health. Stratified care (SC) has previously been found to be a cost-effective approach for primary care LBP patients. The SCOPiC trial compared the clinical and cost-effectiveness of a modified SC model combining prognostic and clinical characteristics to allocate sciatica patients into one of three groups (with matched care pathways) versus non-stratified, usual care (UC).Funding
Background and Purpose
The STarT Back approach comprises subgrouping of LBP patients according to risk of persistent LBP-related disability, and matches patients to appropriate treatments. In a clinical trial and implementation study, this stratified care approach was clinically and cost-effective compared to usual non-stratified care. However, the long-term cost- effectiveness is unknown, and could be established with decision modelling. A systematic review of model-based economic evaluations in LBP found shortcomings with existing models, including inadequate characterisation of the condition in health states and absence of long-term modelling. This study conceptualises the first decision model of this stratified care approach for LBP management, and assesses long-term cost-effectiveness. A cost-utility analysis from the NHS perspective compared stratified care with usual care, in patients consulting in primary care with non-specific LBP. A Markov state-transition model was constructed where long-term patient prognosis over ten years was dependent upon physical function achieved at twelve months. Consultation with experts helped define condition health states, inform the long-term modelling, and choice of sensitivity analyses.Background and Purpose
Methods
