For the first time in our existence, CMS has released drug pricing data that overlaps with the date of our launch. As we ripped open the data and examined CMS’ gift, we found some major changes in the way that the state of Ohio reported their data – and it has revealed some eye-opening information about PBM and pharmacy margins on prescription drugs. Given all the drug pricing noise out of Ohio, and the federal heat on PBM “spread pricing,” we decided to do a deep dive into what’s happening in Ohio, and how its new data provides incredible clues to determine where the money flows within the drug supply chain.
Recently, CMS updated their State Utilization databases, which provides quarterly drug pricing data that shows what state Medicaid programs are spending on prescription drugs. This most recent data update ended up filling in most of the Q2 2018 potholes and extended the 2018 data to include large portions of the third quarter. We have updated all of our dashboards that rely on this dataset, rolling all of them forward to Q3 2018, and there are some insightful takeaways. This update is a really big deal for us at 46brooklyn, because it is the first time that a dataset’s timing will overlap with our existence as an organization. With our launch in August 2018, this meant that CMS’ latest utilization data update for Q3 2018 would be the first real quarter of data that could have been theoretically impacted by our work and Ohio’s work to bring transparency to drug pricing in state Medicaid programs and beyond. After analyzing the data, the results are nothing short of amazing, and a clear indication that this system is in the midst of change. Here’s our insights.
The start of each new year brings a lot of “new-ness,” including a new round of price increases on brand-name drugs. This year has been no exception, and the media has been all over the subject. Unfortunately, we’ve found it difficult to figure out the “so what?” behind all of these price increases. On one hand, we are being told that the pharmaceutical manufacturers are back to “business as usual,” while on the other we are being told that the number of price increases are down meaningfully from last year. Which one is it? This felt like an opportunity to inject a healthy dose of facts into this discussion. So we set out to build a dashboard, 46brooklyn’s Brand Drug Price Change Box Score, that lets you visualize all brand-name manufacturer list price changes that are publicly-reported each week, drill down to the manufacturer and drug level, strength level, and compare and contrast different periods.
Average Wholesale Price (AWP) is a meaningless benchmark price for generic drugs. This has been known for at least a decade, if not longer. But despite its lack of substance, AWP-based payment models just won't go away. Unfortunately the contractual reliance on a benchmark that has no relevance to actual price makes it very difficult for the payer to know if they are getting a good deal or not. They are left to pay a fixed discount off of an unknown combination of meaningless, non-market-based, numbers. Seems like that would be tough sell, but this is drug pricing we are talking about, so of course, it's the norm. For the past couple months, we compiled data to create a visualization to help illustrate the problem that arises by anchoring generic drug costs to AWP. The finished product is embedded in this latest report "Inside AWP: The Arbitrary Pricing Benchmark Used to Pay for Prescription Drugs," along with our observations and analysis.
We’re told that drug prices are too high, but who actually is setting the price and where does the money end up going? CMS recently updated their State Utilization databases, which track what state Medicaid programs are being charged for prescription drugs. Most notably, they extended the 2018 data to include the second quarter. We have updated our datasets and visualizations to track the changes in drug markups relative to their actual costs. We’ve studied up and have come up with our “Top 20 over $20” list. In other words, the top 20 drugs dispensed through Medicaid managed care organizations (MCOs) with a markup in of over $20 per prescription. Think of it as a “top 40 under 40” list for generic drugs, with the main difference being that no self-respecting generic drug wants to be on this list. Check out our new visualization that highlights the drugs that are busting the budgets of state Medicaid programs.
Over the past couple weeks, we’ve been reflecting more on how neat Bloomberg’s Ohio Medicaid markup bubble chart was in their recent article, “The Secret Drug Pricing System Middlemen use to Rake in Millions.” We’re kicking ourselves now that we neglected to delve deeper into this in our report, “Bloomberg Puts Drug Pricing ‘Markups’ on the Map”. But like fine wine, good visualizations only get better with time, so it took us a few weeks to fully realize the possibilities that such data analysis could open up. Bloomberg’s excellent visualization does, however, leave a few open questions. What do other state Medicaid managed care programs look like? How do they compare to state fee-for-service programs? What do all states look like? To answer these questions, we set out to build a new visualization dashboard to compare drug markups between state Medicaid programs. We call our creation the “Medicaid Markup Universe” (because it looks very celestial). In this new visualization tool, we found a disturbingly large difference in drug markups across generic drugs in state Medicaid managed care programs, resulting in a slew of warped incentives that pressure supply chain members to value certain medications over others, and thus, certain patients over others.
It is well-known that competition in the generic manufacturer marketplace drives drug prices down considerably. Plaquenil, a brand-name drug that has been on the market since 1955, eventually saw generics enter the market almost a quarter of a century ago. By all accounts, generic Plaquenil – known as hydroxychloroquine – had become a very affordable drug at approximately 10 cents per pill. But FDA actions quickly dried up the supply of the drug, causing prices to balloon more than 2,500%. This report examines how state Medicaid programs were impacted by this price spike, and how some states continued paying elevated rates even after the price came crashing back down.
Of all the drugs in the marketplace, few have been as much of a topic of conversation as Gleevec, a popular medication for cancer patients. While the brand manufacturer Novartis was frequently criticized for its price increases during its exclusivity period, when the generics entered the market, prices of those versions plummeted. But in analyzing CMS data, we found that even though prices were crashing, some state Medicaid programs were still being charged much higher prices.