Switch rates and total cost associated with apremilast and biologics in biologic-naive patients with psoriatic arthritis.

Aim: Real-world treatment data for psoriatic arthritis are limited. We evaluated switch rates, adherence, and costs for patients initiating apremilast versus tumor necrosis factor inhibitor (TNFi) and interleukin inhibitor (ILi) among biologic-naive psoriatic arthritis patients. Materials & methods: This retrospective analysis used IBM MarketScan claims data to assess treatment switches, adherence and costs. Results: Twelve-month switch rates were significantly lower for apremilast versus TNFi (15.5% vs 26.6%; p < 0.0001) and similar to ILi (15.5% vs 14.0%; p = 0.71). Apremilast initiators had lower total costs versus TNFi and ILi (US$39,854 vs US$57,243 and US$65,687; p < 0.05) and adherence was slightly lower versus TNFi and higher versus ILi. Conclusion: Biologic-naive apremilast initiators had lower switch rates versus TNFi initiators and lower total costs versus TNFi or ILi initiators.

Switch Rates and Total Cost of Care Associated with Apremilast and Biologic Therapies in Biologic-Naive Patients with Plaque Psoriasis.

PURPOSE: Compare treatment switching rates and costs among biologic-naive psoriasis patients initiating apremilast or biologics. METHODS: This retrospective claims analysis used IBM MarketScan Commercial and Medicare Supplemental databases to identify patients who initiated apremilast or a biologic (ie, tumor necrosis factor [TNF] or interleukin [IL] inhibitor) for psoriasis treatment between January 1, 2015, and December 31, 2016. A 1:1 propensity score matching was used to adjust for possible selection bias and maximize the number of patients available for analysis. Treatment switching, days to switch, and healthcare costs were assessed at 12 months. T-test and chi-square test were used to evaluate differences between cohorts for continuous and categorical variables as appropriate; Wilcoxon rank-sum tests were used to assess cost differences. RESULTS: In total, 88,025 patients newly initiated apremilast, a TNF inhibitor, or an IL inhibitor. After inclusion/exclusion criteria were applied and patients were propensity score matched, 1645 (apremilast), 1207 (TNF inhibitor), and 438 (IL inhibitor) patients were included in this analysis. Twelve-month switch rates were significantly lower for apremilast initiators compared with TNF inhibitor initiators (14% vs 25%; p<0.01) and comparable to IL inhibitors (14% vs 11%; p>0.05). No statistical difference was observed in days to switch at 12 months for any treatment group. Total healthcare costs were lower for apremilast initiators compared with TNF and IL inhibitor initiators ($34,028 vs $55,973 and $64,430; p<0.0001). Per-patient per-month (PPPM) costs were significantly lower for apremilast initiators compared with TNF inhibitor and IL inhibitor initiators ($2834 vs $4662 and $5366; p<0.0001). CONCLUSION: Over a 12-month follow-up, biologic-naive psoriasis patients initiating apremilast had significantly lower switching rates compared with patients on TNF inhibitors and similar rates as patients on IL inhibitors. PPPM and total healthcare costs were significantly lower for patients initiating apremilast vs TNF or IL inhibitors, primarily due to lower pharmacy costs.

The Affordable Care Act, health care reform, prescription drug formularies and utilization management tools.

The U.S. Patient Protection and Affordable Care Act (hence, Affordable Care Act, or ACA) was signed into law on March 23, 2010. Goals of the ACA include decreasing the number of uninsured people, controlling cost and spending on health care, increasing the quality of care provided, and increasing insurance coverage benefits. This manuscript focuses on how the ACA affects pharmacy benefit managers and consumers when they have prescriptions dispensed. PBMs use formularies and utilization control tools to steer drug usage toward cost-effective and efficacious agents. A logic model was developed to explain the effects of the new legislation. The model draws from peer-reviewed and gray literature commentary about current and future U.S. healthcare reform. Outcomes were identified as desired and undesired effects, and expected unintended consequences. The ACA extends health insurance benefits to almost 32 million people and provides financial assistance to those up to 400% of the poverty level. Increased access to care leads to a similar increase in overall health care demand and usage. This short-term increase is projected to decrease downstream spending on disease treatment and stunt the continued growth of health care costs, but may unintentionally exacerbate the current primary care physician shortage. The ACA eliminates limitations on insurance and increases the scope of benefits. Online health care insurance exchanges give patients a central location with multiple insurance options. Problems with prescription drug affordability and control utilization tools used by PBMs were not addressed by the ACA. Improving communication within the U.S. healthcare system either by innovative health care delivery models or increased usage of health information technology will help alleviate problems of health care spending and affordability.