Table 4.
Multinomial Logistic Regression Model of Correlates of Latent Classes for Substance Use Treatment.
| Class 2 (“Comorbid MH/SU Programs”; n = 3715; 23.1%) |
Class 3 (“Syndemic-Informed and SGM-Tailored Programs”; n = 2804; 17.6%) |
Class 4 (“Comorbid MH/SU and Trauma-Specific Programs”; n = 2195; 13.7%) |
||||
|---|---|---|---|---|---|---|
| AOR | (95% CI) | AOR | (95% CI) | AOR | (95% CI) | |
|
| ||||||
| U.S. region | ||||||
| Northeast | ref | ref | ref | |||
| Midwest | 0.59 | (0.51, 0.69) | 0.50 | (0.43, 0.59) | 0.62 | (0.52, 0.74) |
| South | 0.67 | (0.57, 0.78) | 0.84 | (0.73, 0.97) | 0.78 | (0.66, 0.93) |
| West | 0.81 | (0.70, 0.95) | 1.05 | (0.91, 1.22) | 1.26 | (1.07, 1.48) |
| Other | 0.50 | (0.25, 0.99) | 1.10 | (0.62, 1.92) | 0.99 | (0.52, 1.87) |
| Offers Pay Assistance | ||||||
| No | ref | ref | ref | |||
| Yes | 1.71 | (1.51, 1.95) | 1.77 | (1.58, 1.99) | 1.43 | (1.25, 1.63) |
| Type of Organization | ||||||
| Private Non-Profit | ref | ref | ref | |||
| Private For-Profit | 0.59 | (0.52, 0.67) | 1.52 | (1.36, 1.70) | 0.95 | (0.83, 1.08) |
| Non-Federal Government | 0.92 | (0.76, 1.10) | 0.58 | (0.46, 0.73) | 0.75 | (0.60, 0.94) |
| Federal Government | 1.40 | (0.98, 1.99) | 1.04 | (0.68, 1.58) | 1.64 | (1.15, 2.36) |
Note. MH = mental health; SU = substance use; AOR = adjusted odds ratio; CI = confidence interval; ref = reference group. Boldface type indicates a significant AOR. Omitted (reference) category is Class 1 (“No Tailored Programs”; n = 7290; 45.5%), which was characterized by low probabilities of offering any tailored programs. Class 2 (“Comorbid MH/SU Programs”) was characterized by high probabilities of offering programs for clients with comorbid mental health/substance use concerns; Class 3 (“Syndemic-Informed and SGM-Tailored Programs”) was characterized by high probabilities of offering all types of tailored programming, and was the only class characterized by high probability of offering SGM-tailored programming; Class 4 (“Comorbid MH/SU and Trauma-Specific Programs”) was characterized by offering tailored programs for clients with comorbid mental health/substance use concerns and clients with a history of sexual abuse, intimate partner violence or domestic violence, and/or other trauma. All models utilized the bias-adjusted maximum likelihood approach.