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Unravelling the Drug Pricing Blame Game

Prior to the COVID-19 pandemic, few healthcare issues received as much attention and public discourse as prescription drug prices. The attention paid to the costs of pharmaceuticals is understandable when one considers that, in many ways, medicines are arguably the backbone of the U.S. healthcare delivery system. Whether a person is seeking treatment for a simple infection or complex diseases like cancer or multiple sclerosis, prescription drugs are the primary tools employed by our nation’s healthcare professionals to address illness.

However, informed debate over drug prices is challenging because the nature of drug prices requires layers of context. That said, the common understanding of the American public appears to be that the pricing practices of drug manufacturers are primarily to blame for high drug costs.

While there is certainly truth to the notion that drug manufacturers are key contributors to the prices paid for medicines, in our latest drug pricing report our study of 32.6 million retail pharmacy claims from independent, small chain, and mid-size chain pharmacies over a 12-month period between January 1, 2020 and December 31, 2020 we found that a great deal more context is needed to understand drug prices at the pharmacy counter.

More specifically, in our analysis, we find that the overwhelming majority of the prices paid at the pharmacy counter are based on price points established by the drug supply chain intermediaries known as pharmacy benefit managers (PBMs).

For expensive brand medications, the data demonstrates that PBMs establish variable payment rates based upon differentiating the discounts offered to manufacturer price points. For generic medications, the most routinely utilized of all drug therapies, we observed that proprietary PBM prices (i.e., maximum allowable cost, or MAC) were used for setting the majority of all prescription costs and that like their brand counterparts, generic drug prices were highly variable and disconnected from the manufacturer or pharmacy established price for the medication.

This study unpacks how drug prices are set at the pharmacy counter – and how those point-of-sale prices impact pharmacy providers, plan sponsors, and patients.

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Evaluation of Federal Drug Pricing Proposals: A Series of Short Essays

In 2021, gross prescription drug spending in the U.S. totaled $577 billion, with significant drug costs incurred under the federal programs of Medicare, Medicaid, the Children’s Health Insurance Program (CHIP), and the individual marketplace of the Affordable Care Act. At the same time, federal projections for retail prescription drug spending estimate that spending will increase at a rate of 5% from 2021 to 2030. As such, developing thoughtful approaches for managing drug costs will be critical to the long-term viability of these federal programs. Recent legislative investigations have identified the following four key challenges facing federal policy makers related to prescription drug prices: misaligned incentives that drive up prices and costs, insufficient transparency that distorts the market, hurdles to pharmacy access, and behind-the-scenes practices that impede competition and increase costs. Policy proposals to address these challenges have begun to take shape in both the U.S. Senate and the U.S. House of Representatives. Common themes being explored in policy appear to focus on the role of prescription drug intermediaries known as pharmacy benefit managers (PBMs) and their impact on market access and drug prices. More specifically, the focus appears on targeting the following areas of PBM-related activities:  delinking PBM compensation from drug list prices, addressing patient steering to PBM affiliated pharmacies, and increasing transparency around PBM compensation. This series of essays and analyses provide an overview of our opinions on these proposals based on our understanding of the U.S. drug supply chain. We also attempt to quantify the potential financial impact of the proposals.

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3 Axis Advisors
Comparing International Drug Prices to Prices in the United States

Many studies have examined the pricing differences in prescription drugs between the United States and other countries around the globe. Those studies have consistently found that the U.S. is paying more for prescription medications than our global peers.

For years, policy proposals at both the federal and state levels have sought to address the affordability of prescription medications in the U.S. by accessing international prices.

At times, these proposals have been to benchmark U.S. drug prices to international prices. Other proposals have sought to directly source the medications internationally at their lower cost rather than through using the existing U.S. distribution system. Overwhelmingly, studies of international prices have resulted in aggregate figures of savings but have been sparse on which drug prices are actually producing the savings.

In this report, we undertook a study of international drug prices that sought to not only confirm that international prices remain cheaper than the prices incurred by prescription drug programs in the United States (like Medicare), but to provide transparency around price differentials on a product-to-product basis.

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Estimates of U.S. Brand Drug Commercial Net Prices

Drug pricing is complicated, and as lawmakers and consumers lament the rising costs of medicines, often overlooked in the discourse is the impact of the growing disconnect that exists between the list prices of medicines and the net prices of those drugs after all drugmaker concessions are accounted for. Further complicating matters is the degree with which those concessions are – or more importantly, aren’t – being reflected in the prices paid patients and plan sponsors. In this study, we used the publicly available Federal Supply Schedule (FSS) pricing data to develop a net drug price estimate for brand pharmaceuticals in the U.S. We then analyzed our estimate to known net drug prices and found that our estimate produced similar results to the stated net price by the manufacturer. While other researchers and organizations have developed estimates of net prices based on a “top-down” approach by exploring drug manufacturer financial statements and sales data, our methods may be best described as “bottom-up,” as they are developed for individual products based upon the public FSS data.

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Understanding pharmacy reimbursement trends in Oregon

Oregonians, like many Americans, currently experience hardships due to high healthcare costs. A 2021 survey of Oregon adult residents found that 55% encountered cost-related barriers to getting healthcare, including cutting medication in half, skipping doses, or not filling a prescription due to cost. It is well documented that the United States spends enormous sums on healthcare. And while the common perception may be that “you get what you pay for” in regard to health outcomes, the data does not support that perception with regards to U.S. healthcare. The reasons for the low performance are undoubtedly multi-factorial, but an area of increasing interest is disparities of care, which arise based on social characteristics of a population. Indeed, one of the primary goals of the Centers for Disease Control and Prevention (CDC) is to achieve health equity by eliminating health disparities and achieving optimal health for all Americans.

While prescription drugs represent just one component of healthcare costs and utilization, they provide one of the most transparent ways to contextualize potential healthcare inequality. This is because the reimbursement structure of prescription drugs is inherently unequal. There are more than a dozen pricing benchmarks that could be utilized from a typical drug reference file to determine a drug’s price. Such benchmarks might be “objective” in that they could be sourced from a drug reference file directly, but rarely does that objectivity translate into a consistent price at the pharmacy counter for any particular drug. The options for how to pay for drugs become nearly limitless when you consider that each payer for prescription drugs potentially pays for the same product and service in a different way despite the same reliance on the same pricing benchmarks. When there are many prices for a product, there is effectively no price for that product.

The disparities in pharmacy pricing and the inequality of payment experienced across provider types resulted in 3 Axis Advisors being commissioned by the Oregon State Pharmacy Association (OSPA) to review reimbursement trends between payers and retail pharmacies between 2019 and 2021. The primary request was to identify if there may be the existence of differential pricing in payment or PBM-to-pharmacy spread pricing among Oregon Medicaid retail pharmacy networks, which could compromise the sustainability of some providers and create barriers to care for many Oregonians.

We ended up uncovering so much more.

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Deserving of better: How American seniors are paying for misaligned incentives within Medicare Part D

Millions of America’s elderly rely on the Medicare Part D program to afford prescription medications. Because adherence to prescription medications is a primary determinant of treatment success, Medicare Part D represents one of the most critical programs to the overall health of the elderly in this country. However, despite the availability of a prescription drug benefit, many Medicare beneficiaries still struggle to afford prescription drugs. The Centers for Medicare and Medicaid Services (CMS) reports a growing disparity between gross Part D drug costs, calculated based on costs of drugs at the pharmacy counter, and net Part D drug costs, which account for all Direct and Indirect Remuneration (DIR). The growing divergence between gross and net spending in Medicare Part D has significant implications for the Part D program. This is because the majority of a Medicare enrollee’s cost share is determined from gross, and not net, drug spending. Medicare is not the first program to struggle with prescription drug costs. Medicaid, another federal program overseen by CMS, has adopted a relatively new model for paying for prescription drugs – one that aligns program costs to surveyed benchmarks meant to approximate the prices paid by pharmacies to purchase medications. The most common benchmark utilized by state Medicaid programs is National Average Drug Acquisition Cost (NADAC), which is typically used as the basis for both the state’s cost exposure and the pharmacy’s reimbursement for the drug’s ingredient cost. Because NADAC is meant to cover just the cost of the drug itself, it is then coupled with a professional dispensing fee that is meant to cover the cost of the service and overhead incurred by pharmacy providers. Amidst growing complaints from providers and patients regarding the inflated and unpredictable prices for prescription drugs within the program, 3 Axis Advisors explored how application of the bedrock of Medicaid’s drug pricing design into Medicare might alleviate ballooning costs within the program.

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Pharmacy benefit manager exposé: How PBMs adversely impact cancer care while profiting at the expense of patients, providers, employers, and taxpayers

In February 2022, Frier Levitt, a national boutique law firm focused exclusively on healthcare and life sciences, and the Community Oncology Alliance, a non-profit organization dedicated to advocating for community oncology practices and the patients they serve, released an extensive deep-dive into practices employed by large pharmacy benefit managers (PBMs) that can exacerbate high drug prices, restrict patient choice, create inequitable treatment among providers, and create numerous market distortions that can cause plan sponsors and patients to overpay for their medicines. 3 Axis Advisors supported the study through the creation of infographics derived from our prior analyses of millions of prescription drug claims across multiple states.

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Understanding the Evolving Business Models and Revenue of Pharmacy Benefit Managers

Pharmacy benefit managers (PBMs) are situated at the center of the U.S. pharmaceutical ecosystem, overseeing pharmacy benefits on behalf of payers, including employers, multi-employer and other health plan sponsors, and public and private insurers, for the vast majority of individuals with prescription drug coverage. While the primary role of PBMs is to provide administrative services to payers, revenue flows to PBMs from multiple stakeholders in the supply chain, not just their clients. Given that PBMs claim to be the “only members of the prescription drug supply chain that are working to lower drug costs,” discussions concerning PBMs’ impact on the market can be informed by a better understanding of the overall financial incentives driving PBM behavior, as well as possible sources of conflict with their assertion. This analysis reveals that PBMs utilize multiple avenues and business activities to exert influence over, and derive revenue from, others in the pharmaceutical supply chain.

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A Global Comparison of Insulin Prices

The affordability and accessibility of insulin is a topic of broad public interest for several factors, not the least of which is the absolute need for insulin in persons with diabetes who might otherwise die without treatment. The relative number of patients with diabetes globally, and the amount of money government programs, commercial plan sponsors, and patients expend on diabetic medicines such as insulin has also generated significant interest in insulin prices. This study examined insulin prices by providing detailed insulin price comparisons across the globe. It presents insulin price variability on a per-insulin-package basis and measures insulin affordability relative to a country’s individual measures of economic wealth – namely, median annual income, average annual income, and gross domestic product (GDP) per capita. This research examined insulin prices at retail pharmacies in 20 countries of varying economic status. In so doing, the goal of this research is to provide greater context and transparency into insulin pricing and affordability.

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Cash flow analysis of the 340B rebate model

Since the 340B program’s inception, there have been debates over the importance of the program. Is the growth in the number of 340B sites, which has seen a 20-year compounded annual growth rate (CAGR) of 7.87%, a sign of the program’s vital need? Or does such growth demonstrate that the U.S. healthcare system will always grow in the direction of opacity and pricing arbitrage? The Kalderos 340B rebate model’s goal is to add transparency to the program’s pharmacy transactions in a manner that is sustainable for covered entities. The Kalderos program converts a prescription drug purchasing discount predicated on “buying low and selling high” to a retroactive rebate. 3 Axis Advisors was commissioned to study the potential cash flow impacts of the 340B rebate model proposed by Kalderos.

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Issue brief: The billions in prescription drug savings from enhancements to NADAC

There are numerous drug pricing benchmarks which can be used to price prescription drugs. Recent legislative proposals aim to change the way the most widely used drug pricing benchmark in Medicaid is determined by enhancing pharmacy requirements to report prescription drug prices. The purpose of this issue brief is to determine to what extent changes in CMS’ National Average Drug Acquisition Cost (NADAC) methodology would result in savings to Medicaid, and other programs who rely upon NADAC as a mechanism to approximate drug ingredient costs.

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Pharmacy Reimbursement Trends in Massachusetts

The Massachusetts Independent Pharmacists Association (MIPA) commissioned 3 Axis Advisors, LLC (3 Axis) to investigate pharmacy reimbursement trends following the Massachusetts Health Policy Commission (HPC) published a DataPoints issue titled, “Cracking Open the Black Box of Pharmacy Benefit Managers.” This report further explores the concerns raised by HPC including investigating PBM “spread” pricing, underwater claim reimbursements, high cost specialty medication trends and more. Overall, this study presents strong evidence that current pharmacy compensation is, by Massachusetts’ own standards, not appropriate. The transparency on the data and methods, combined with ample education on the inner workings of the drug supply chain provided in this study, should assist Massachusetts in achieving its goal of providing “appropriate compensation for both pharmacies and PBMs.”

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Assessing the responsiveness of Maximum Allowable Cost (MAC) prices to generic drug inflation

The disconnect between PBM-set MAC reimbursement rates and pharmacy acquisition costs for generic drugs introduces economic uncertainty into how the U.S. drug supply chain will respond to the COVID-19 driven shock. MAC rates must keep track with drug price inflation to ensure that pharmacies remain viable and have proper incentive to dispense impacted medications to patients.

The purpose of this research brief is to determine to what extent PBM MAC prices, which form the basis of drug ingredient costs paid to their network pharmacies for generic drugs, have been responsive to large price increases on generic drugs.

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Sunshine in the Black Box of Pharmacy Benefits Management: Florida Medicaid Pharmacy Claims Analysis

Much of our previous state Medicaid program drug pricing work has been concentrated on diagnosing and sizing a largely overlooked practice called “spread pricing.” The tactic, typically deployed by pharmacy benefit managers (PBMs), involves a PBM paying a pharmacy one price for the dispensing of a prescription, billing a different rate back to a plan sponsor, and pocketing the difference as a spread. As this massive cost-driver is eliminated from state Medicaid programs across the country, 3 Axis Advisors was asked to analyze 350+ million claims worth of pharmacy data in the Florida Medicaid program to assess spread’s influence on the state’s drug costs. Our analysis found very little spread pricing in the program up until 2019, where it appeared to be all but eliminated. However, in our research, we found a slew of other perplexing practices embedded in the prescription drug supply chain that highlight several warped incentives, pricing distortions, and conflicts of interest that stand to drive up costs and compromise robust provider access. As spread pricing is eliminated from more state programs, this report highlights how PBMs and MCOs pivot their pricing and management of pharmacy benefits in a post-spread world.

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Purple Haze: How a little purple pill called Nexium exposes big problems in the U.S. drug supply chain

In 2018, the U.S. Department of Health and Human Services (HHS) released a report detailing Medicare Part D spending on brand-name drugs that were also available as multi-source generics. At the top of that list was a popular medication known as Nexium, for which Medicare spent $1.06 billion (pre-rebate) in 2016, despite its manufacturer losing its patent exclusivity in early 2015.

Motivated to understand the root cause of the elevated spending on this high-profile brand-name drug in 2016, we started to research the story of Nexium, and the old drug from which it was derived, Prilosec. We struggled to find a comprehensive overview of the entire Nexium story that was supported by data and analytics needed to fully understand its many moving parts. To fill this void, we received funding from Waxman Strategies through a grant provided by Arnold Ventures to complete and publish this work. Our goal was simply to provide a full data-driven analysis of the Nexium story to help educate lawmakers and the general public on how a drug commonly viewed as a line extension first became a blockbuster drug for AstraZeneca and then exposed a host of warped incentives across the U.S. drug supply chain that continue to be exploited today. The information in this report can serve as the foundation for a more constructive debate on what regulation is needed to help reduce waste in the drug supply chain without sacrificing innovation.

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Analysis of PBM spread pricing in Michigan Medicaid managed care

3 Axis Advisors estimates that Michigan Medicaid managed care manages at least $250 million a year in generic drug spending. Michigan’s Managed Care Organizations (MCOs) contract with Pharmacy Benefit Managers (PBMs) to collectively manage these funds. Recently, Ohio and Kentucky have found that the nature of these contracts between MCOs and PBMs result in a dynamic called “spread pricing,” in which the PBM “buys” a drug at a low cost from a pharmacy and “sells” the same drug at some higher cost to the MCO. This project was commissioned by the Michigan Pharmacists Association (MPA) to assess the degree of generic drug spread pricing within Michigan’s Medicaid managed care program.

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Illinois Medicaid managed care pharmacy analysis

In 2018, Illinois expanded Medicaid managed care to more than 550,000 citizens across the state. This change raised concerns with many providers before its implementation, and once in effect, community pharmacists began expressing concerns that reimbursements within the Medicaid managed care program were not covering their cost to dispense prescriptions to those beneficiaries. This study was commissioned by the Illinois Pharmacists Association (IPhA) to analyze change in reimbursements and state costs as a result of the 2018 Illinois Medicaid managed care expansion.

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Analysis of PBM spread pricing in New York Medicaid managed care

Spread pricing is a core component of the traditional pharmacy benefit manager (PBM) business model. In a spread transaction, PBMs generate revenue by charging the payer one price for a drug, paying a lesser amount to the pharmacy that dispenses the drug, and then retaining the difference. The PBM has separate contracts with the payer and the pharmacy that allow it to price the same claim differently, generating revenue from the spread. This study was commissioned and funded by the Pharmacists Society of the State of New York (PSSNY) to estimate the nature and extent of spread pricing within the New York Medicaid managed care program. Further, the objectives are to explain the nature of a pharmacy transaction, illustrate how spread is impacting both payer and pharmacy, and estimate spread on generic drug claims using a limited, but robust, sample of pharmacy data.

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