ABSTRACT
This study uses data from IQVIA's National Prescription Audit to assess the association of the Inflation Reduction Act's cap on cost sharing with insulin fills by Medicare beneficiaries.
Subject(s)
Cost Sharing , Drug Prescriptions , Health Expenditures , Insulin , Medicare Part D , Aged , Humans , Cost Sharing/economics , Cost Sharing/statistics & numerical data , Drug Prescriptions/economics , Drug Prescriptions/statistics & numerical data , Health Expenditures/statistics & numerical data , Insulin/economics , Insulin/therapeutic use , Insulin, Regular, Human/economics , Insulin, Regular, Human/therapeutic use , Insurance, Pharmaceutical Services/economics , Insurance, Pharmaceutical Services/statistics & numerical data , Medicare/economics , Medicare/statistics & numerical data , Medicare Part D/economics , Medicare Part D/statistics & numerical data , United States/epidemiologyABSTRACT
Importance: Insulin list prices have grown substantially since 2010, but net prices have declined since 2015 because of manufacturer discounts, leading to an increasingly large difference between list and net prices of drugs often called the gross-to-net bubble. It remains unclear to what extent the gross-to-net bubble represents voluntary manufacturer discounts negotiated in commercial and Medicare Part D markets (hereafter called commercial discounts) vs mandatory discounts under the Medicare Part D coverage gap, Medicaid, and the 340B program. Objective: To decompose the overall gross-to-net bubble of leading insulin products into discount types. Design, Setting, and Participants: This economic evaluation obtained data from Medicare and Medicaid claims and spending dashboards, Medicare Part D Prescriber Public Use File, and SSR Health for the top 4 commonly used insulin products: Lantus, Levemir, Humalog, and Novolog. The gross-to-net bubble, which represents total discounts, was estimated for each insulin product and year (from 2012 to 2019). Analyses were conducted in June to December 2022. Main Outcomes and Measures: The gross-to-net bubble was decomposed into 4 discount types: (1) Medicare Part D coverage gap discounts, (2) Medicaid discounts, (3) 340B discounts, and (4) commercial discounts. Coverage gap discounts were estimated using Medicare Part D claims data. Medicaid and 340B discounts were estimated using a novel algorithm that accounted for best prices set by commercial discounts. Results: Total discounts for the 4 insulin products increased from $4.9 billion to $22.0 billion. Commercial discounts represented a majority of all discounts, increasing from 71.7% of the gross-to-net bubble in 2012 ($3.5 billion) to 74.3% ($16.4 billion) in 2019. Among mandatory discounts, coverage gap discounts remained relatively consistent as a proportion of discounts (5.4% in 2012 vs 5.3% in 2019). Medicaid rebates decreased as a proportion of total discounts, from 19.7% in 2012 to 10.6% in 2019. The 340B discounts increased as a proportion of total discounts from 3.3% in 2012 to 9.8% in 2019. Results for the contribution of discount types to the gross-to-net bubble were consistent across insulin products. Conclusions and Relevance: Results of a decomposition of the gross-to-net bubble for leading insulin products suggest that commercial discounts play a growing role in lowering net sales compared with mandatory discounts.
Subject(s)
Drug Costs , Insulin , Medicare Part D , Algorithms , Commerce , Insulin/economics , Insulin, Regular, Human/economics , United StatesSubject(s)
Drug Costs , Insulin, Regular, Human , Insulin , Humans , Insulin/economics , Insulin, Regular, Human/economicsSubject(s)
Diabetes Mellitus, Type 2/drug therapy , Drug Substitution , Insulin, Regular, Human/therapeutic use , Insulin/analogs & derivatives , Adult , Cost Savings , Diabetes Mellitus, Type 2/economics , Drug Costs , Drug Substitution/economics , Glycated Hemoglobin/analysis , Humans , Insulin/economics , Insulin/therapeutic use , Insulin, Regular, Human/economics , Medication Adherence , Retrospective Studies , Treatment OutcomeABSTRACT
BACKGROUND: Monkeys with insulin-dependent diabetes are important preclinical animal models for islet transplantation. Exogenous insulin should be administered to achieve good glycemic control and minimize the long-term vascular complications associated with diabetes until the graft function recovered completely. However, the effect of multiple daily injections of porcine or human insulin and the long-term effects of porcine insulin have not been studied in diabetic rhesus monkeys. METHODS: Diabetic rhesus monkeys, using a 6-month self-control insulin comparison experiment, were used to detect the incidence of adverse events and long-term diabetes complication events after long-term administration of porcine insulin. RESULTS: In this study, we found that a 20% higher dose of porcine insulin results in similar glycemic control as the human insulin regimen, and adverse events were seldom reported when porcine insulin was administered. Moreover, long-term injection with porcine insulin could delay the rate and severity of diabetes-related complications. CONCLUSIONS: Porcine insulin as a competent candidate for regular insulin therapy to maintain blood glucose levels in insulin-dependent diabetic monkeys during preclinical studies of islet transplantation.