Author ORCID Identifier
Date Available
5-13-2021
Year of Publication
2019
Document Type
Master's Thesis
Degree Name
Master of Science (MS)
College
Pharmacy
Department/School/Program
Pharmaceutical Sciences
Advisor
Dr. Linda P. Dwoskin
Co-Director of Graduate Studies
Dr. Jeffery C. Talbert
Abstract
Healthcare big data are a growing source of real-world data with which to identify and validate medications with repurposing potential. Previously, we developed a claims-based workflow to evaluate medications with potential to treat stimulant use disorders. In order to test the workflow, the framework was applied in the context of opioid use disorders (OUDs), for which there are medications with known efficacy. Using the Truven Marketscan Commercial Claims Database, a nested case-control analysis was conducted to determine the association between OUD medications (buprenorphine, naltrexone) and remission. Cases were defined as enrollees with a remission diagnosis and matched (1:4) to controls (individuals without remission) using incidence density sampling, with age group, sex, region, and index year as additional matching variables. After adjusting for behavioral health visits, polysubstance use disorders, and psychiatric disorders using conditional logistic regression, the odds of OUD medication exposure were 3.8 (99% confidence interval: 3.0 – 4.9) times higher in cases than controls. Evaluation of angiotensin converting enzyme inhibitors (e.g. lisinopril) as a negative control revealed no significant association between the medication and remission. This work demonstrates the feasibility of using administrative health claims data to evaluate the effectiveness of medications to treat substance use disorders.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2019.182
Funding Information
This research was supported by grants from the National Institutes of Health NIDA T32 DA016176, NIDA F32 DA045483 and grants from the National Center for Advancing Translational Sciences CTSA UL1TR001998, CTSA UL1TR000117.
Recommended Citation
Hankosky, Emily Ruth, "DEVELOPING A WORKFLOW TO EVALUATE MEDICATIONS FOR REPURPOSING USING HEALTH CLAIMS DATA: APPLICATION TO SUBSTANCE USE DISORDERS" (2019). Theses and Dissertations--Pharmacy. 100.
https://uknowledge.uky.edu/pharmacy_etds/100
Included in
Health Services Research Commons, Pharmacy and Pharmaceutical Sciences Commons, Substance Abuse and Addiction Commons
