Given the state of the opioid crisis, any meaningful data is valuable. So when CMS released three years of Opioid Part D prescription data in November, we all rejoiced. CMS also released a mapping tool to analyze the data. While mapping tools can be effective, they can also get in the way.


We recently got under the hood of this data and released a new Opioid Prescribing Rates Interactive. It is automatically available to subscribers as part of our growing Community Health library. An analysis of the data becomes more meaningful when we can actually sort and manipulate the data and relate it to other data such as population.


In the video blog, we discuss the following:

  1. Why mapping is not always the best tool for this type of analysis.

  2. Why good old tables present a quick way of analyzing this type of data.

  3. Which counties and states experienced the highest prescribing rates.



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