Author ORCID Identifier

https://orcid.org/ 0000-0003-3775-3711

Date Available

6-21-2023

Year of Publication

2023

Document Type

Doctoral Dissertation

Degree Name

Doctor of Philosophy (PhD)

College

Education

Department/School/Program

Educational, School, and Counseling Psychology

Advisor

Dr. Joseph Hammer

Co-Director of Graduate Studies

Dr. Danelle Stevens-Watkins

Abstract

The Gelberg-Anderson Behavioral Model for Vulnerable Populations was used to identify factors related to buprenorphine use in general and through diversion (versus formal treatment) among rural Appalachian women using substances in the six months prior to their incarceration. This study is a secondary analysis of data from interviews completed with rural Appalachian women (N=400) residing in rural Kentucky jails. Independent variables were analyzed using chi square and independent t-tests for buprenorphine use generally and diverted buprenorphine use. The significant predictors were then evaluated through hierarchical logistic regression to explore which factors account for the most variance in general and diverted buprenorphine use. For buprenorphine use generally, the best fitting model, X2(8) = 57.81, p < .001, was comprised of need variables with prescription opioid use (OR = 1.030), having ever injected prescription pain relievers (OR = 1.965), and endorsing withdrawal symptoms in the year prior to incarceration (OR = 2.883) accounting for the most variance. For diverted buprenorphine use, the model including enabling, predisposing, and need variables was the best fitting model, X2(4) = 16.26, p = .003, with dependence on the GAIN SPS (OR = 12.44) and not having lost custody of a child in the six months prior to incarceration (OR = 0.23) accounting for the most variance. While the results for buprenorphine use generally use is based on need, results for diverted buprenorphine use suggest that enabling factors may play a significant role in a person’s decision-making regarding what avenue buprenorphine is obtained through.

Digital Object Identifier (DOI)

https://doi.org/10.13023/etd.2023.275

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