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Introduction The Fagerström test for cigarette dependence (FTCD) and Brief Wisconsin index of smoking dependence motives (WISDM) are widely used measures of smoking dependence. The FTCD was previously found to have 1-factor and 2-factor structures and Brief WISDM has been found to have an 11-factor and 11-factor hierarchical structure. As such, the current study sought to further investigate the psychometric properties of the FTCD and Brief WISDM with a novel criminal-legal system-involved sample using both a factor-analytic and an item response theory (IRT) approach. Aims and Methods Data from 517 criminal-legal system-involved adults (ie, 18 years of age or older) who smoke from Alabama, USA were analyzed. Confirmatory factor analyses (CFA) were conducted on 1-factor and 2-factor structures of the FTCD and 1-factor, 11-factor, and 11-factor hierarchical structures of the Brief WISDM. IRT analyses investigating item discrimination and threshold parameters were also conducted on the brief WISDM. Results The CFA showed poor fit for a single-factor structure and mixed results for two 2-factor results for the FTCD. CFA also showed poor fit for a single-factor and mixed results for the 11-factor model. Initial IRT investigations using the 11-factor model showed strong item discrimination, but non-ordered threshold parameters. Conclusions Two-factor structures for the FTCD and the 11-factor model for the Brief WISDM were partially supported in a criminal-legal population, suggesting continued support for the multidimensional structure of the measures. Additionally, exploratory IRT analyses suggested good discrimination across the use spectrum for the Brief WISDM. Implications The Fagerström Test of Cigarette Dependence (FTCD) and Brief Wisconsin index of smoking dependence motives (WISDM) are two widely used measures of nicotine dependence, though previous research has shown mixed results for their internal consistency and factor structure. The current study used a unique sample of criminal-legal-involved participants who generally have moderate to high levels of nicotine dependence. The current study found that the FTCD displayed poor internal consistency, a poor fit for a single-factor model, but mixed support for two two-factor models. The Brief-WISDM was found to have strong internal consistency, a poor fit for a single-factor model, but mixed fit for an 11-factor model and good item discrimination. [ABSTRACT FROM AUTHOR]

Introduction: Opioid use disorder (OUD) is a significant cause of opioid-related fatality, and while medications to treat OUD (MOUD) are effective, disparities remain in the access and uptake of such medications. This study investigated factors that may influence referral to and initiation of MOUD treatment., Methods: Data from electronic medical records of 677 patients with a history of criminal legal system involvement in a recovery program were used to examine the flow of MOUD referral., Results: Among patients identified as potentially eligible for MOUD treatment, about 38.0 percent were referred and 18.8 percent were confirmed to initiate MOUD treatment. Logistic regression analyses highlighted female gender and unemployment due to incarceration as positive and negative predictors of referral, respectively. The Chi-square test revealed that women and uninsured patients were more likely to initiate referred MOUD treatment., Conclusions: Data highlight the need for greater connection between referral agencies and MOUD treatment providers, considering factors that may influence referral.