Characteristics of Prescription Drug Fills Using Pharmacy-Pharmacy Benefit Manager Discount Programs: The "GoodRx" Model.

OBJECTIVES: This study aimed to characterize products using pharmacy-pharmacy benefit manager (PBM) discounts and to estimate the association among such discounts, prescription utilization, and out-of-pocket costs. METHODS: This is a retrospective cohort study using IQVIA's Formulary Impact Analyzer, which contains anonymized, individual-level pharmacy claims representing US retail pharmacy transactions. We focused on 20 products with the greatest number of transactions using a pharmacy-PBM discount. Our unit of analysis was a treatment episode, defined as the length of time from an incident fill to no continuous use for 60 consecutive days after allowing for indefinite stockpiling. Outcome measures included products with greatest pharmacy-PBM discount use, characteristics of treatment episodes, and out-of-pocket costs with and without pharmacy-PBM discount. RESULTS: Across all products, 3.82% of transactions and 7.69% of treatment episodes were accompanied by a pharmacy-PBM discount. Commonly discounted products included generic treatments for chronic disease (lisinopril, levothyroxine, metformin) and neuropsychiatric conditions (alprazolam, amphetamine, buprenorphine, hydrocodone). The median postdiscount out-of-pocket cost was >2.5-fold higher during treatment episodes with a discount than those without ($15.15, interquartile range [IQR] $8.53-32.00, vs $5.88, IQR $1.40-15.00). Median treatment episode duration was 249 days (IQR 132-418) with discount use compared with 236 days (IQR 121-396) without discount use, although treatment episodes that began with a discount had fewer transactions per treatment episode and were shorter (median 212 days, IQR 114-360) than those that did not (313 days, IQR 178-500). CONCLUSIONS: Pharmacy-PBM discounts may foster market competition and improve access for under- and uninsured individuals; however, these programs may not generate savings for many insured individuals.

Medicare Spending on Drugs With Accelerated Approval.

BACKGROUND: The U.S. Food and Drug Administration provides accelerated approval to drugs on the basis of surrogate end points deemed to be "reasonably likely" to predict clinical benefit. To receive full approval, drugs must complete a confirmatory trial. Although most accelerated approved drugs ultimately receive full approval, others remain on the market without full approval for many years, and some are withdrawn before full approval is granted. Until confirmatory trials are completed and full approval is granted, there is uncertainty surrounding each drug's clinical benefits. OBJECTIVE: To estimate fee-for-service Medicare payments on accelerated approved drugs without full approvals. DESIGN: Cross-sectional analysis. SETTING: Fee-for-service Medicare Part B and Part D drug claims in 2019. PARTICIPANTS: Beneficiaries enrolled in Medicare Part B and Part D plans. MEASUREMENTS: Medicare spending for drugs treating accelerated approved indications without full approval, beneficiary spending, and drug characteristics. RESULTS: In 2019, 45 drugs associated with 69 accelerated approved indications lacked full approval. Of those, the fee-for-service Medicare program spent $1.2 billion on 36 drugs across 55 indications. Medicare beneficiaries had $209 million in out-of-pocket spending on these drugs. Oncology drugs represented 82% of these indications and 72% of the Medicare spending. Extrapolating to Medicare Advantage, total Medicare spending on these drugs in 2019 was $1.8 billion. LIMITATIONS: The study drugs may have clinical benefit and may come to receive full approval after this analysis. The algorithm used to identify accelerated approved indications is novel. Generalizability to other years is unclear. CONCLUSION: In 2019, fee-for-service Medicare spent $1.2 billion on accelerated approved drugs without full approval. Medicare should adjust incentives to encourage sponsors to complete confirmatory trials as soon as possible. PRIMARY FUNDING SOURCE: Laura and John Arnold Foundation.

Vitamin D, Alzheimer's disease and related dementia.

Vitamin D has been proposed as a potential strategy to mitigate age-related cognitive decline and dementia, including Alzheimer's dementia, the predominant type of dementia. Rodent studies have provided insight into the potential mechanisms underlying the role of vitamin D in Alzheimer's disease and dementia. However, inconsistencies with respect to age, sex, and genetic background of the rodent models used poses some limitations regarding scientific rigor and translation. Several human observational studies have evaluated the association of vitamin D status with cognitive decline and dementia, and the results are conflicting. Randomized clinical trials of vitamin D supplementation have included cognitive outcomes. However, most of the available trials have not been designed specifically to test the effect of vitamin D on age-related cognitive decline and dementia, so it remains questionable how much additional vitamin D will improve cognitive performance. Here we evaluate the strengths and limitations of the available evidence regarding the role of vitamin D in AD, cognitive decline, dementia.

Filgrastim and infliximab biosimilar uptake in Medicare Advantage compared with Traditional Medicare, 2016-2019.

BACKGROUND: Medicare Advantage (MA) and Traditional Medicare face different financing structures and incentives and may implement different strategies to encourage biosimilar uptake. Strategies used by health insurers can influence biosimilar uptake, which can in turn promote savings to insurers and patients. OBJECTIVE: To compare filgrastim and infliximab biosimilar uptake between MA and Traditional Medicare from 2016 to 2019 and examine biosimilar uptake by different MA carriers and plan types (Health Maintenance Organization [HMO] or Preferred Provider Organization). METHODS: We use a 2016-2019 nationally representative random 20% sample of the carrier (physician) and outpatient paid claims for Traditional Medicare data and final-action carrier and outpatient records for MA data. We compare quarterly biosimilar uptake from 2016 to 2019 for the first 2 drugs with biosimilar competition: (1) filgrastim, (Neupogen, originator), and biosimilars tbo-filgrastim (GRANIX) and filgrastim-sndz (ZARXIO), and (2) infliximab (Remicade, originator), and biosimilars infliximab-dyyb (Inflectra) and infliximab-abda (Renflexis). RESULTS: From their introduction, there was consistently greater uptake of filgrastim and infliximab biosimilars in MA compared with Traditional Medicare. By Q4 2019, filgrastim biosimilar uptake was 7.6 percentage points higher in MA (80.3%) than Traditional Medicare (72.7%). By Q4 2019, infliximab biosimilar uptake was 28.7% and 15.4% in MA and Traditional Medicare, respectively. Kaiser HMO plans were primarily responsible for the higher uptake of biosimilars in MA; in Q4 2019, filgrastim and infliximab biosimilar uptake was 98.8% and 78.8%, respectively. CONCLUSIONS: Our findings suggest that filgrastim and infliximab biosimilar uptake is greater in MA compared with Traditional Medicare, which is driven in part by particularly high uptake of biosimilars in MA Kaiser HMO plans. This highlights the need for future work to examine specific strategies and levers employed by MA Kaiser HMO plans and other insurers to increase biosimilar uptake, which can lead to cost savings for physician-administered drugs.

Accelerated approval drug labels often lack information for clinical decision-making.

STUDY OBJECTIVE: We evaluated US Food and Drug Administration labels for drugs approved under the accelerated approval pathway and whether these labels contained in sufficient information regarding their accelerated approval. DESIGN: Retrospective, observational, cohort study. DATA SOURCE: Label information for drugs with an accelerated approved indication were ascertained from two online platforms: Drugs@FDA and FDA Drug Label Repository. INTERVENTION: Drugs with indications receiving accelerated approval after January 1, 1992, but had not received full approval by December 31, 2020. MEASUREMENTS: Outcomes include whether the drug label indicated the use of the accelerated approval pathway, identified the specific surrogate marker(s) that supported it, or described the clinical outcomes being evaluated in post-approval commitment trials. RESULTS: 253 clinical indications corresponding to 146 drugs received accelerated approval. We identified a total of 110 accelerated approval indications across 62 drugs that had not received full approval by December 31, 2020. A total of 13% of labels for accelerated approved indications lacked sufficient information that approval was via the accelerated approval or based on surrogate outcome measures: 7% did not mention accelerated approval but described surrogate markers, 4% did not mention accelerated approval nor describe surrogate markers, and 2% mentioned accelerated approval but did not describe surrogate markers. No label described the clinical outcomes being evaluated in post-approval commitment trials. CONCLUSION: Labels for accelerated approved clinical indications that do not yet have full approval should be revised to include the information required in the FDA guidance to help guide clinical decision-making.

Estimating Changes in Medicare Part D and Commercial Insurer Insulin Spending Amid Planned State-Led Biosimilar Insulin Production in California.

This cross-sectional study evaluates the cost savings of state-led manufacturing and selling of biosimilar insulin.

A model based upon pseudo regular spacing of cells combined with the randomisation of the nuclei can explain the significant changes in high-frequency ultrasound signals during apoptosis.

Recent ultrasound (US) experiments on packed myeloid leukaemia cells have shown that, at frequencies from 32 to 40 MHz, significant increases of signal amplitude were observed during apoptosis. This paper is an attempt to explain these signal increases based upon a simulation of the backscattered signals from the cells nuclei. The simulation is an expansion of work in which a condensed sample of cells, with fairly regular sizes, could be considered as an imperfect crystal. Thus, destructive interference could occur and this would be observed as a large reduced value of backscattered signals compared with the values obtained from a similar, but random, scattering source. This current paper explores the possibility that simple changes in the nuclei, such as their observed condensation or the small loss of nuclei scatterers from cells, could cause a significant increase in the observed backscattered signals. This model indicates that the greater backscattered signals can be explained by further randomisation of the average positions of the scattering sources in each cell. When these "microechoes" are added together, so that the destructive interference is reduced, a large increase in the signal is predicted. The simplified model strongly suggests that much of observed large increases of the backscattered signals could be simply explained by the randomisation of the position of the condensed nuclei during apoptosis, and the destruction of the nuclei could produce further signal amplitude changes due to disruption of the cloud of backscattered waves.