Publications by authors named "Kathryn Sielbeck-Mathes"

Background: Researchers have not studied or used novel methods for identifying potential disparities for sexual minorities, those with criminal pasts, and veterans in (DOT).

Methods: We used Bayesian logistic regression to identify factors associated with DOT, tested interaction effects, and used machine learning to classify qualitative responses.

Findings: With 2,772 clients from two inpatient clinics in the Southwest United States, we found sexual minorities and females had 52% and 61%, increases and African Americans had 54% decreases in the odds of DOT.

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Background: Behavioral health care providers aim to see their clients achieve lifelong recovery from substance use disorders (SUDs). To do so, they must accurately assess incoming resources and barriers to recovery to identify areas of need for their clients. A recovery capital scale (RCS) is one way to identify these resources and barriers.

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This article describes how Building Strong Families in Rural Tennessee (BS-FinRT) increased hopefulness and helped to promote the policy goal of developing a recovery focus among families with vulnerabilities. These outcomes were achieved by implementing collaborative strategies for addressing issues of child safety, substance use, and family stability. Early analyses of the program's outcomes indicated an unexpected positive influence on parent and child hopefulness.

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