Study Design. Markov model
Examine the 1-year effectiveness and cost-effectiveness
(societal and payer perspectives) of adding nonpharmacologic interventions
for chronic low back pain
(CLBP) to usual care using a decision analytic model-based approach.
Summary of Background Data.
Treatment guidelines now recommend many safe and effective nonpharmacologic interventions
for CLBP. However, little is known regarding their effectiveness in subpopulations (e.g.
, high-impact chronic pain
patients), nor about their cost-effectiveness
The model included four health states: high-impact chronic pain
(substantial activity limitations); no pain; and two others without activity limitations, but with higher (moderate-impact) or lower (low-impact) pain. We estimated intervention-specific transition probabilities for these health states using individual patient-level data from 10 large randomized trials covering 17 nonpharmacologic therapies. The model was run for nine 6-week cycles to approximate a 1-year time horizon. Quality-adjusted life-year weights were based on six-dimensional health state short form scores; healthcare costs were based on 2003 to 2015 Medical Expenditure Panel Survey data; and lost productivity costs used in the societal perspective were based on reported absenteeism. Results were generated for two target populations: (1) a typical baseline mix of patients with CLBP (25% low-impact, 35% moderate-impact, and 40% high-impact chronic pain
) and (2) high-impact chronic pain
From the societal perspective, all but two of the therapies were cost effective (<$50,000/quality-adjusted life-year) for a typical patient mix and most were cost saving. From the payer perspective fewer were cost saving, but the same number was cost-effective. Assuming all patients in the model have high-impact chronic pain
increases the effectiveness and cost-effectiveness
of most, but not all, therapies indicating that substantial benefits are possible in this subpopulation.
Modeling leverages the evidence produced from clinical trials to provide more information than is available in the published studies. We recommend modeling for all existing studies of nonpharmacologic interventions
Level of Evidence: 4