Table 2 Logistic regression models of provision of SUP by agency characteristics
| Univariate Models OR (95% CI) | p | Multivariate Models OR (95% CI) | p | |
|---|---|---|---|---|
| Agency type | ||||
| Juvenile justice | 0.25 (0.10, 0.67) | .006 | 0.33 (0.11, 0.94) | .037 |
| Behavioral health | Reference | Reference | ||
| Agency location | ||||
| Urban county | Reference | |||
| Rural county | 1.14 (0.49, 2.64) | .759 | ||
| Number of doctoral-level full-time equivalent staff | 1.35 (0.85, 2.15) | .201 | ||
| Number of master’s-level full-time equivalent staff | 1.06 (1.01, 1.11) | .027 | 1.05 (1.00, 1.10) | .066 |
| Distribution of female youth in the agency’s caseload | ||||
| Females as < 30% of youth in the caseload | 1.00 (0.33, 3.03) | .995 | ||
| Females as > = 30% of youth in the caseload | Reference | |||
| Female distribution unknown | 0.68 (0.22, 2.12) | .503 | ||
| Distribution of minority youth in the agency’s caseload | ||||
| Minorities as < 8% of youth in the caseload | 0.95 (0.31, 2.94) | .935 | ||
| Minorities as > = 8% of youth in the caseload | Reference | |||
| Minority distribution unknown | 0.71 (0.27, 1.85) | .447 | ||
| Distribution by age in the agency’s caseload | ||||
| Youth aged 14 and older as < 86% of youth | 1.51 (0.54, 4.25) | .430 | ||
| Youth aged 14 and older as > 86% of youth | Reference | |||
| Age distribution unknown | 0.97 (0.33, 2.82) | .948 | ||
| Maximum rate of use of alcohol, marijuana, or non-medical prescription drugs | ||||
| Maximum use below the median | 0.18 (0.04, 0.67) | .011 | 0.22 (0.07, 0.67) | .008 |
| Maximum use above the median | Reference | Reference | ||
| Rate of use unknown | 0.39 (0.16, 0.97) | .042 | 0.33 (0.12, 0.88) | .027 |