Evaluating the Impact of Cost on the Treatment Algorithm for Chronic Idiopathic Constipation: Cost-Effectiveness Analysis.

INTRODUCTION

Chronic idiopathic constipation (CIC) is a common and burdensome illness. We performed a cost-effectiveness analysis of the US Food and Drug Administration-approved CIC drugs to evaluate and quantify treatment preferences compared with usual care from insurer and patient perspectives.

METHODS

We evaluated the subset of patients with CIC and documented failure of over-the-counter (OTC) osmotic or bulk-forming laxatives. A RAND/UCLA consensus panel of 8 neurogastroenterologists informed model design. Treatment outcomes and costs were defined using integrated analyses of registered clinical trials and the US Centers for Medicare and Medicaid Services-supported cost databases. Quality-adjusted life years (QALYs) were calculated using health utilities derived from clinical trials. A 12-week time horizon was used.

RESULTS

With continued OTC laxatives, CIC-related costs were $569 from an insurer perspective compared with $3,154 from a patient perspective (considering lost wages and out-of-pocket expenses). CIC prescription drugs increased insurer costs by $618-$1,015 but decreased patient costs by $327-$1,117. Effectiveness of CIC drugs was similar (0.02 QALY gained/12 weeks or ∼7 healthy days gained/year). From an insurer perspective, prescription drugs (linaclotide, prucalopride, and plecanatide) seemed less cost-effective than continued OTC laxatives (incremental cost-effectiveness ratio >$150,000/QALY gained). From a patient perspective, the cost-effective algorithm started with plecanatide, followed by choosing between prucalopride and linaclotide starting at the 145-μg dose (favoring prucalopride among patients whose disease affects their work productivity). The patient perspective was driven by drug tolerability and treatment effects on quality of life.

DISCUSSION

Addressing costs at a policy level has the potential to enable patients and clinicians to move from navigating barriers in treatment access toward truly optimizing treatment choice.