Literature DB >> 31951083

Predictors of Medication Utilization for Opioid Use Disorder Among Medicaid-Insured HIV Patients in New York.

Sugy Choi1,2, Rajeev Yerneni1, Shannon Healy1, Mona Goyal1, Charles J Neighbors1.   

Abstract

BACKGROUND AND OBJECTIVES: This paper investigates the prevalence and predictors for opioid use disorder (OUD) pharmacotherapy utilization for Medicaid-insured patients with human immunodeficiency virus (HIV) in New York.
METHODS: We identified patients with HIV and OUD in 2014 in the New York State Medicaid claims data (n = 5621). The claims were used to identify individual client medication for addiction treatment (MAT) utilization, demographic information, and other medical and psychiatric health conditions. The logistic regression analyses were performed to explore the potential predictors of MAT service utilization among people with HIV and OUD.
RESULTS: Of 5621 identified patients with HIV and OUD, 3647 (65%) received some type of MAT. Eighty-seven percent of treated patients received methadone while 10% received buprenorphine and 3% utilized both the therapies. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: A substantial number of patients with HIV and OUD did not receive MAT. Findings suggest that there are opportunities to improve OUD care for patients with HIV and OUD, particularly among the younger generation, blacks, individuals living outside of New York City, and among those with serious psychiatric conditions. This initial study suggests that an additional research is needed to better understand how the gap in care affects this population. (Am J Addict 2020;29:151-154).
© 2020 American Academy of Addiction Psychiatry.

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Year:  2020        PMID: 31951083      PMCID: PMC7035191          DOI: 10.1111/ajad.12998

Source DB:  PubMed          Journal:  Am J Addict        ISSN: 1055-0496


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10.  Validation of an Optimized Algorithm for Identifying Persons Living With Diagnosed HIV From New York State Medicaid Data, 2006-2014.

Authors:  Sarah E Macinski; Jayleen K L Gunn; Mona Goyal; Charles Neighbors; Rajeev Yerneni; Bridget J Anderson
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