Dan Hartung, PharmD, MPH
Oregon State University/Oregon Health & Science University
This data mining study uses an existing multi-state linked administrative data set to compare opioid-related outcomes among adults admitted for treatment of opioid use disorder (OUD) in outpatient and inpatient (or residential) facilities. These data will be used to predict how to improve treatment retention. The study design is an observational retrospective cohort secondary data analysis of Medicaid recipients admitted for OUD in Oregon and Oklahoma from 2014 to 2017. The project leverages an existing, unique linked dataset comprised of Medicaid, Treatment Episodes Data Set (TEDS), and Vital Statistics data in Oregon and Oklahoma. The comparison groups are defined by American Society of Addiction Medicine (ASAM) placement levels which include outpatient, residential, and inpatient admissions. The primary analysis compares individuals receiving outpatient treatment relative to those receiving treatment in a residential or inpatient setting. The project further distinguishes between long- and short-term stays (<=28 or >28 days). To ensure complete ascertainment of baseline characteristics and outcomes, the study only includes individuals with at least 6 months of Medicaid eligibility before their admission.
Funded by the NIH HEAL InitiativeSM.
All Participating Nodes: