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.
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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.
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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.
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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.
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