- National – Opioid use disorder (OUD) patients are prescribed a large portion of the total opioid prescriptions
OUD beneficiaries account for 20.8% of all opioid prescriptions filled nationally.
- State – Highest rate of Opioid Prescriptions in Northeast US
In the Northeast section of the US there is a concentration of states with higher rates of Opioid prescriptions to beneficiaries with an opioid use disorder indicator (15+ percentage points above the national benchmark).
- Pharmacy – Individual Pharmacy Insights
Within those select Northeast states there is a concentration of pharmacies with higher rates of Opioid prescriptions to beneficiaries with an opioid use disorder indicator.
Further Explore OUD Patients and Prescription Drug Data
There are a wide range of topics related to OUD patients that CareJourney is keen to explore. We aim to fully understand the additional costs and utilization that patients with OUD incur, as well as understand what treatments have been most effective. The CMS claims dataset allows us to explore these topics at extremely granular provider and cohort levels to identify actionable insights for our members. Further analyzing member claims down to the patient level, we can dive deeper into specific segments and highlight opportunities for care intervention or primary care coordination. For example, utilizing the High Need High Cost patient segmentation algorithm developed by the Harvard School of Public Health, we can explore overlaps of patients with opioid use disorder to create an opioid-intervention short-list to drive down cost and provide appropriate care for the patients that need it the most.
Analyses at the provider level can also inform the creation of OUD care teams for CMMI value-based care model participation in initiatives such as the Value in Opioid Use Disorder Treatment Demonstration Program. The purpose of this program is to increase access to care, improve health outcomes, and reduce long term Medicare expenditures for beneficiaries with opioid use disorder. Utilizing market participant analytics, we can identify doctors that provide medication assisted treatment (MAT) within a geography to include in an OUD care team.
In addition, there are endless research opportunities around Medicare Part D data. We recently posted an analysis of the tremendous savings opportunities around medication adherence. Furthermore, we can use the Part D data to infer chronic conditions of Medicare Advantage patients. This can give us a better understanding of what supplemental benefits plans may want to focus on based on their patient panel.
We would love to hear the ways that this data could be helpful to your organization! Please reach out to [email protected] or learn more about our work by requesting a meeting below!